1
|
Wang H, He W, Zhang Z, Liu X, Yang Y, Xue H, Xu T, Liu K, Xian Y, Liu S, Zhong Y, Gao X. Spatio-temporal evolution mechanism and dynamic simulation of nitrogen and phosphorus pollution of the Yangtze River economic Belt in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 357:124402. [PMID: 38906405 DOI: 10.1016/j.envpol.2024.124402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 06/03/2024] [Accepted: 06/18/2024] [Indexed: 06/23/2024]
Abstract
Excess nitrogen and phosphorus inputs are the main causes of aquatic environmental deterioration. Accurately quantifying and dynamically assessing the regional nitrogen and phosphorus pollution emission (NPPE) loads and influencing factors is crucial for local authorities to implement and formulate refined pollution reduction management strategies. In this study, we constructed a methodological framework for evaluating the spatio-temporal evolution mechanism and dynamic simulation of NPPE. We investigated the spatio-temporal evolution mechanism and influencing factors of NPPE in the Yangtze River Economic Belt (YREB) of China through the pollution load accounting model, spatial correlation analysis model, geographical detector model, back propagation neural network model, and trend analysis model. The results show that the NPPE inputs in the YREB exhibit a general trend of first rising and then falling, with uneven development among various cities in each province. Nonpoint sources are the largest source of land-based NPPE. Overall, positive spatial clustering of NPPE is observed in the cities of the YREB, and there is a certain enhancement in clustering. The GDP of the primary industry and cultivated area are important human activity factors affecting the spatial distribution of NPPE, with economic factors exerting the greatest influence on the NPPE. In the future, the change in NPPE in the YREB at the provincial level is slight, while the nitrogen pollution emissions at the municipal level will develop towards a polarization trend. Most cities in the middle and lower reaches of the YREB in 2035 will exhibit medium to high emissions. This study provides a scientific basis for the control of regional NPPE, and it is necessary to strengthen cooperation and coordination among cities in the future, jointly improve the nitrogen and phosphorus pollution tracing and control management system, and achieve regional sustainable development.
Collapse
Affiliation(s)
- Huihui Wang
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; School of Environment, Beijing Normal University, Beijing, 100875, China; Key Laboratory of Coastal Water Environmental Management and Water Ecological Restoration of Guangdong Higher Education Institutes, Beijing Normal University, Zhuhai, 519087, China.
| | - Wanlin He
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; Zhixing College, Beijing Normal University, Zhuhai, 519087, China
| | - Zeyu Zhang
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; Zhixing College, Beijing Normal University, Zhuhai, 519087, China
| | - Xinhui Liu
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; School of Environment, Beijing Normal University, Beijing, 100875, China; Key Laboratory of Coastal Water Environmental Management and Water Ecological Restoration of Guangdong Higher Education Institutes, Beijing Normal University, Zhuhai, 519087, China
| | - Yunsong Yang
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; School of Environment, Beijing Normal University, Beijing, 100875, China; Key Laboratory of Coastal Water Environmental Management and Water Ecological Restoration of Guangdong Higher Education Institutes, Beijing Normal University, Zhuhai, 519087, China
| | - Hanyu Xue
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; Zhixing College, Beijing Normal University, Zhuhai, 519087, China; Research Institute of Urban Renewal, Zhuhai Institute of Urban Planning and Design, Zhuhai, 519100, China
| | - Tingting Xu
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; Huitong College, Beijing Normal University, Zhuhai, 519087, China
| | - Kunlin Liu
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; Huitong College, Beijing Normal University, Zhuhai, 519087, China
| | - Yujie Xian
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; International Business Faculty, Beijing Normal University, Zhuhai, 519087, China
| | - Suru Liu
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; Zhixing College, Beijing Normal University, Zhuhai, 519087, China
| | - Yuhao Zhong
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; Zhixing College, Beijing Normal University, Zhuhai, 519087, China
| | - Xiaoyong Gao
- Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, 519087, China; Huitong College, Beijing Normal University, Zhuhai, 519087, China; Department of Geography, National University of Singapore, Singapore, 117570, Singapore
| |
Collapse
|
2
|
Wu H, Jiao X, Wang Y, Wang M, Zhou J, Wu K, Chen D. Influence of climate and land use on watershed anthropogenic phosphorus inputs and riverine phosphorus export dynamics: A global analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 933:172991. [PMID: 38719040 DOI: 10.1016/j.scitotenv.2024.172991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/14/2024] [Accepted: 05/02/2024] [Indexed: 05/19/2024]
Abstract
Many studies have found predictive relationships between riverine phosphorus (P) export and net anthropogenic P inputs (NAPI) at the watershed scale, but the global or regional extent of these relationships has not been empirically quantified. Herein, we present a data-driven global assessment of the response of riverine total P (TP) fluxes to NAPI based on 358 watersheds. NAPI exhibited high spatial heterogeneity (2-12,085 kg P km-2 yr-1) and was well correlated with riverine TP fluxes. Riverine TP export fractions of NAPI were primarily regulated by NAPI components, hydroclimate factors, and land-use as determined through a random-forest meta-analysis. In watersheds dominated by disturbed land-use (e.g., agricultural and developed lands), runoff emerged as pivotal climate-related factors influencing riverine export fractions of NAPI. In watersheds dominated by natural land-use, runoff, precipitation and temperature were identified as the most critical factors. We developed a mixed-effects meta-regression model (R2 = 0.63-0.70, RMSE = 19-78 %, n = 87-202) to examine the quantitative relationship between riverine TP fluxes and NAPI, which avoids subjectivity in selecting influencing factors and regression forms. The model estimated that legacy P contributed 14-17 % of annual riverine TP fluxes in Chinese watersheds, 25 % in North American watersheds and 11-27 % in European watersheds. Annual NAPI contributions to annual riverine TP flux were 83-86 % in China, 75 % in North America and 73-89 % in Europe. The model forecasted 52-67 %, 69-71 % and 74-77 % reductions in riverine TP fluxes across Chinese, North American, and European watersheds by 2050 under five shared socio-economic pathway scenarios compared to 2010 baseline conditions, respectively. This study provides a straightforward and reliable method for quantifying anthropogenic P input and riverine P export dynamics within an acceptable error range. It provides guidance for developing phosphorus pollution control strategies to counter potential increases in phosphorus inputs due to expected changes in climate and land use.
Collapse
Affiliation(s)
- Hao Wu
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Xinyi Jiao
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yucang Wang
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Mingfeng Wang
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Jia Zhou
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Kaibin Wu
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Dingjiang Chen
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China; Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, Zhejiang University, Hangzhou 310058, China; Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China.
| |
Collapse
|
3
|
Yang J, Li M, Liu L, Zhao H, Luo W, Guo Y, Ji X, Hu W. Dynamic characteristics of net anthropogenic phosphorus input to the upper Yangtze River Basin from 1989 to 2019: Focus on the phosphate ore rich area in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 347:119140. [PMID: 37778077 DOI: 10.1016/j.jenvman.2023.119140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 09/14/2023] [Accepted: 09/21/2023] [Indexed: 10/03/2023]
Abstract
Phosphorus (P), a non-renewable essential resource, faces heavy exploitation and contributes to eutrophication in aquatic environments. Assessing P input is vital for a healthier P cycle in the Upper Yangtze River (UYR), a phosphate ore rich basin, where P mining and P chemical enterprises have prominent pollution problems. This study modified the net anthropogenic phosphorus input (NAPI) model to include ore mining P input (Pore). We analyzed the evolutionary characteristics of P input in five sub-basins of UYR from 1989 to 2019 using prefecture-level data, and assessed the uncertainty of the data. NAPI in all sub-basins exhibited an upward and then downward trend during 1989-2019, with the inflection point occurring in 2015 or 2016, showing a net increase of about 1.1 times (568-1162 kg P km-2 yr-1) in the whole UYR basin. Among the components of NAPI, P fertilizer inputs (Pfer) and food/non-food and feed P inputs (Pf/nf&feed) contributed comparably, though the growth rate of Pfer was most notable basin-wide. Pore proportion increased significantly (about 3-fold), with a peak of 20%, especially in Wujiang sub-basin. The multi-year (1989-2019) average NAPI in UYR rose sequentially from west to east, with hotspot areas mainly concentrated in the Sichuan-Chongqing urban agglomeration and cities of Hubei province. The regional P input closely related to the population density and the level of agricultural development, certainly the phosphate mining was also unignorable. This study emphasizes that based on current status of NAPI development in UYR, targeted management for different regions should focus on improving agricultural P use efficiency and rational exploitation of P mineral resources.
Collapse
Affiliation(s)
- Junlan Yang
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China.
| | - Min Li
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China.
| | - Lu Liu
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China
| | - Hongjun Zhao
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China
| | - Wenqing Luo
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China
| | - Yali Guo
- Shanghai Investigation, Design & Research Institute Co., Ltd., Shanghai, 200335, China; YANGTZE Eco-Environment Engineering Research Center (Shanghai), China Three Gorges Corporation, Shanghai, 200335, China
| | - Xiaonan Ji
- Shanghai Investigation, Design & Research Institute Co., Ltd., Shanghai, 200335, China; YANGTZE Eco-Environment Engineering Research Center (Shanghai), China Three Gorges Corporation, Shanghai, 200335, China
| | - Wei Hu
- Shanghai Investigation, Design & Research Institute Co., Ltd., Shanghai, 200335, China; YANGTZE Eco-Environment Engineering Research Center (Shanghai), China Three Gorges Corporation, Shanghai, 200335, China
| |
Collapse
|
4
|
Wang T, Sun Y, Wang T, Wang Z, Hu S, Gao S. Dynamic spatiotemporal change of net anthropogenic phosphorus inputs and its response of water quality in the Liao river basin. CHEMOSPHERE 2023; 331:138757. [PMID: 37105311 DOI: 10.1016/j.chemosphere.2023.138757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 04/15/2023] [Accepted: 04/21/2023] [Indexed: 05/19/2023]
Abstract
The Liao river is one of the seven major rivers in China, and the process of phosphorus (P) cycling and change of water quality in this basin are influenced to a considerable extent human activities. In this work, the traditional net anthropogenic phosphorus inputs (NAPI) model was improved by considering the dynamic change of wastewater treatment capacity and P deposition (PDEP) and reclassifying the sources of phosphorus into human P consumption (PHUM), agriculture P consumption (PAGR), livestock P consumption (PANIM) and PDEP to analyze its dynamic spatio-temporal change in the Liao river basin. The results showed that the annual mean NAPI was 785.53 kg P km-2 yr-1 (2001-2020), the maximum value was 940.49 kg P km-2 yr-1 in 2009, and the minimum value was 586.04 kg P km-2 yr-1 in 2001. The temporal variation of NAPI presented an increasing-fluctuation-increasing trend and was basically in line with that of the water quality throughout the three stages, and the spatial distribution of NAPI gradually increased from upstream to downstream. During the two decades, PANIM was the predominant component of NAPI with a share of 64.32%. PHUM, PAGR, and PDEP accounted for 15.97%, 11.54%, and 8.17%, respectively, and the point source NAPI (NAPIP) contributed to 4.95% of NAPI. Further, the INAPI (Improved NAPI) -MR (Multiple Regression) -SWAT (Soil and Water Assessment Tool) model was developed to predict the spatial distribution of P flux under two scenarios. The results showed that the Liao river basin experienced a reduction in P flux to different degrees due to the improvement of the wastewater treatment system, which was more significant in its downstream area. Long-term water quality monitoring is encouraged to develop refined water quality models in the future.
Collapse
Affiliation(s)
- Tianxiang Wang
- School of Ocean Science and Technology, Dalian University of Technology, Panjin, 124221, China; Department of Physical & Environmental Sciences, University of Toronto, Toronto, M1C 1A4, Canada; Key Laboratory of Coastal Science and Integrated Management, Ministry of Natural Resources, Qingdao, 266061, China; State Key Laboratory of Lake Science and Environment, Nanjing, 210008, China.
| | - Ya Sun
- College of Environmental Sciences and Engineering, Dalian Maritime University, Dalian, 116026, China.
| | - Tianzi Wang
- School of Ocean Science and Technology, Dalian University of Technology, Panjin, 124221, China
| | - Zixiong Wang
- Guangzhou Pearl River Water Resources Protection Technology Development Co. LTD. , Guangzhou, 510610, China
| | - Suduan Hu
- School of Ocean Science and Technology, Dalian University of Technology, Panjin, 124221, China
| | - Shanjun Gao
- School of Ocean Science and Technology, Dalian University of Technology, Panjin, 124221, China
| |
Collapse
|
5
|
Wang Y, Gao L, Ming Y, Zhao L. Recent Declines in Nutrient Concentrations and Fluxes in the Lower Changjiang River. ESTUARIES AND COASTS : JOURNAL OF THE ESTUARINE RESEARCH FEDERATION 2023; 46:1-19. [PMID: 37362862 PMCID: PMC10196314 DOI: 10.1007/s12237-023-01216-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 06/28/2023]
Abstract
To elucidate nutrient variation patterns and trends over various timescales under combined effects of human activities and climate change, nutrient concentrations were monitored monthly in Lower Changjiang (Yangtze) River from November 2016 to August 2020. They were also monitored daily during an extreme flood in July 2020. Over daily and seasonal timescales, the Changjiang River discharges had a dominant influence on nutrient concentrations. By combining existing data over recent decades with those from the current study, we found that turning points for concentration trends for most nutrients emerged in the recent decade (2010-2020), i.e., 2012 for NO3-, PO43-, and NH4+ and 2014 for SiO32-. After these turning point years, NO3-, SiO32-, and PO43- concentrations decreased at annual rates of 2.953, 3.746, and 0.108 μM/year, respectively. Regarding NO3- and PO43-, their concentrations and fluxes increased from 1960s to 2012, similar to the increasing trends of anthropogenic N and P fertilizer inputs from the drainage basin. After 2012, concentrations and fluxes of NO3- and PO43- showed significant decreasing trends, largely due to the control of N and P fertilizer usage. A comparison among eight rivers in East and South China (including the Changjiang River) indicated that basin latitudes were essential to determining areal nutrient yields, implying that latitude-related factors, such as temperature, precipitation, and areal population density, significantly impacted nutrient fluxes. This study emphasized that the deteriorating Changjiang River aquatic environment (which lasted from 1960s to 2010) has been successfully terminated over the last 10 years in 2010s.
Collapse
Affiliation(s)
- Yao Wang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241 China
| | - Lei Gao
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241 China
| | - Yue Ming
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241 China
| | - Lingbin Zhao
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241 China
| |
Collapse
|
6
|
Yan T, Zhang P, Feng Q, Khoshnevisan B, Sun Q, Shi H. Long-term variations in external phosphorus inputs and riverine phosphorus export in a typical arid and semiarid irrigation watershed. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 342:118065. [PMID: 37196611 DOI: 10.1016/j.jenvman.2023.118065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 04/12/2023] [Accepted: 04/28/2023] [Indexed: 05/19/2023]
Abstract
Excessive phosphorus (P) along with drained water from farmland in the arid and semiarid watersheds when entering into water bodies brings about serious environmental problems in the aquatic ecosystem. It is critical to explore variations in watershed P balance and the relationship between anthropogenic P input and riverine total phosphorus (TP) export in a typical irrigation watersheds. In this study, long-term anthropogenic P variations in Ulansuhai Nur watershed (UNW), a typical irrigation watershed in Yellow River basin, was investigated using a quantitative Net Anthropogenic Phosphorus Input (NAPI) budget model. The results showed that annual NAPI exhibited a significant upward trend with a multi-year average of 2541.6 kg P km-2 yr-1 in the UNW. Hotspots for watershed NAPI were discovered in Linhe and Hangjin Houqi counties. Chemical P fertilizers and livestock breeding were two dominated sources of NAPI. Annual riverine TP export showed a significantly declined trend with a net decrease of 80.6%. The export ratio of watershed NAPI was 0.6%, lower than those reported for other watersheds worldwide. There was a significant positive linear correlation between NAPI and riverine TP export from 2005 to 2009. However, after 2009, riverine TP export exhibited a decreased trend with increasing watershed NAPI, which was attributed to environmental treatment measures. By reconstructing riverine TP export without the impact of pollution treatment measures, annual average reduction amount of riverine TP export from 2009 to 2019 was estimated to be 237.2 ton, 47.2% and 52.8% of which were attributed to the point and nonpoint sources measures. This study not only widens the application scope of NAPI budget method, but also provides useful information of nutrient management and control in the arid and semiarid irrigation watershed.
Collapse
Affiliation(s)
- Tiezhu Yan
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing, 100012, China
| | - Pu Zhang
- College of Energy and Environmental Engineering, Hebei University of Engineering, Handan, 056038, China
| | - Qingyu Feng
- Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing, 100085, China
| | - Benyamin Khoshnevisan
- Department of Chemical Engineering, Biotechnology and Environmental Technology, University of Southern Denmark, Campusvej 55, DK-5230, Odense, Denmark
| | - Qiaoyu Sun
- Exchange, Development & Service Center for Science & Technology Talents, Ministry of Science and Technology of the People's Republic of China, Beijing, 100045, China
| | - Huading Shi
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing, 100012, China.
| |
Collapse
|
7
|
Huo S, Ma C, Li W, He Z, Zhang H, Yu L, Liu Y, Cao X, Wu F. Spatiotemporal differences in riverine nitrogen and phosphorus fluxes and associated drivers across China from 1980 to 2018. CHEMOSPHERE 2023; 310:136827. [PMID: 36241105 DOI: 10.1016/j.chemosphere.2022.136827] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 10/03/2022] [Accepted: 10/07/2022] [Indexed: 06/16/2023]
Abstract
Increases in nutrient loadings to waterways over the past four decades have led to widespread eutrophication and water quality impairments across China. Understanding the spatial, interannual and long-term variations in nutrient loadings and associated drivers at the national scale is crucial for developing effective nutrient reduction strategies. However, the controls on, and spatiotemporal variations in, nutrient fluxes remain a problem from both an academic and management perspective. This study provides spatially extensive and temporally contiguous estimates of changes in riverine total nitrogen (TN), ammonia nitrogen (NH3-N) and total phosphorus (TP) fluxes for continental area of China based on machine learning stack models and empirical modeling over the period from 1980 to 2018. Results reveal considerable spatial, interannual and long-term variability in annual TN, NH3-N and TP fluxes, with spatial variations in average TN and NH3-N fluxes primarily driven by net anthropogenic nitrogen inputs. Interannual variability is dominated by precipitation across continental areas of China. Spatial variability in the estimated average annual TP flux in the undeveloped western and the developed middle east regions of China are primarily controlled by net anthropogenic phosphorus inputs and precipitation, respectively. We found that TN, NH3-N and TP fluxes increased from 1980 to 2018 in watersheds in East China; the national mean annual TN, NH3-N and TP fluxes increased before 2015 and decreased after 2015. This study illustrates the important role of precipitation and temperature variability in controlling the spatial, interannual and long-term variability of nutrient fluxes, and indicates that the influence of the meteorological conditions on annual loadings is needed when designing watershed nutrient reduction or management strategies.
Collapse
Affiliation(s)
- Shouliang Huo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
| | - Chunzi Ma
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Wenpan Li
- Water Office, China National Environmental Monitoring Centre, Beijing, 100012, China
| | - Zhuoshi He
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Hanxiao Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Le Yu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Yong Liu
- Key Laboratory of Water and Sediment Sciences Ministry of Education, College of Environmental Science and Engineering, Peking University, Beijing, 100871, China
| | - Xianghui Cao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Fengchang Wu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
| |
Collapse
|
8
|
Liu J, Gu W, Liu Y, Zhang C, Li W, Shao D. Dynamic characteristics of net anthropogenic phosphorus input and legacy phosphorus reserves under high human activity - A case study in the Jianghan Plain. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 836:155287. [PMID: 35439512 DOI: 10.1016/j.scitotenv.2022.155287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 04/10/2022] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
Abstract
The increase of phosphorus (P) input related to human activities is one of the main reasons for eutrophication. Notably, in areas with high population densities and intensive agricultural activities, eutrophication has occurred frequently in the Jianghan Plain, so quantitative evaluation of anthropogenic P input is of great significance for the formulation of P pollution control measures. This study estimated net anthropogenic P input (NAPI), riverine total P exports (TP exports), and the pool of P stored in the terrestrial system (legacy P reserves) at the county scale from 1990 to 2019 in the Jianghan Plain. The results showed that NAPI increased from 2645 kg·km-2·yr-1 in 1991 to 5812 kg·km-2·yr-1 in 2014, and then decreased to 4509 kg·km-2·yr-1 in 2019. Non-point sources were the main form of NAPI, of which 75-96% came from agricultural systems. Meanwhile, P fertilizer input was the largest source of NAPI. It is worth noting that the contribution of seed P input in some counties, such as Jiangling County, is relatively high, even exceeding that of net food/feed P input. The P fertilizer application and livestock density were the main drivers for NAPI change. Only 3% of NAPI was exported into rivers, so a large amount of legacy P accumulated in the terrestrial system. An empirical model incorporating NAPI components, cultivated land area ratio, and annual precipitation was established. Based on this model, the average contribution of annual NAPI and the sum of legacy P and natural background sources to TP exports were calculated to be 71% and 29%, respectively. So it is necessary to control P pollution by improving fertilizer use efficiency and enhancing manure management. The results provide a scientific basis for targeted solutions to the sources of P nutrient and its control measures in the middle reach of the Yangtze River.
Collapse
Affiliation(s)
- Jie Liu
- State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
| | - Wenquan Gu
- State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China.
| | - Yawen Liu
- State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
| | - Chi Zhang
- State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
| | - Wenhui Li
- State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
| | - Dongguo Shao
- State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China.
| |
Collapse
|
9
|
Shen Z, Zhang W, Peng H, Xu G, Chen X, Zhang X, Zhao Y. Spatial characteristics of nutrient budget on town scale in the Three Gorges Reservoir area, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 819:152677. [PMID: 35045348 DOI: 10.1016/j.scitotenv.2021.152677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 12/13/2021] [Accepted: 12/21/2021] [Indexed: 06/14/2023]
Abstract
Accurately quantifying nutrient budget is an essential step toward sustainable nutrient management in large watersheds increasingly disturbed by human activity. A town-scale nutrient budget framework based on the Soil and Water Assessment Tool was developed for 2010-2012 in the Three Gorges Reservoir area in China (TGRA). Moran's I spatial correlation test and Geodetector spatial heterogeneity test were employed to systematically analyze the spatial characteristics of the resulting nutrient budget. The Moran's I value of total nitrogen (TN) and total phosphorus (TP) gradually increased from input to output in the range of 0.091-0.232 and 0.102-0.484, respectively. Towns with higher TN and TP inputs were largely concentrated in the main urban area of Chongqing because of its high population density. By contrast, towns with higher TN and TP outputs were concentrated in the head of the TGRA. The Moran's I values of the TN and TP retention coefficients (R) were 0.433 and 0.524, respectively, demonstrating clear spatial consistency. Towns with a "High-high" spatial consistency pattern and positive R value were concentrated in the tail and hinterland, while those with a "Low-low" spatial consistency pattern and negative coefficient value were located mainly in the head of the TGRA. This phenomenon was mostly caused by differences in regional elevation, the normalized difference vegetation index, and soil erosion factor. The interaction effect between any two of these three factors on nutrient retention (Geodetector q-value) was greater than 60%. Therefore, future nutrient management should be based on a full understanding of regional biophysical conditions, especially in large areas. These findings provide a new perspective on fine nutrient management.
Collapse
Affiliation(s)
- Zhenling Shen
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, PR China
| | - Wanshun Zhang
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, PR China; School of Water Resources and Hydropower, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, PR China; China Institute of Development Strategy and Planning, Wuhan University, Wuhan 430079, PR China.
| | - Hong Peng
- School of Water Resources and Hydropower, Wuhan University, Wuhan 430072, PR China
| | - Gaohong Xu
- Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010, PR China
| | - Xiaomin Chen
- Changjiang Survey Planning Design and Research Co., Ltd., Wuhan 430010, PR China
| | - Xiao Zhang
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, PR China
| | - Yanxin Zhao
- Chinese Academy for Environmental Planning, Beijing 10012, China
| |
Collapse
|
10
|
Nitrogen and Phosphorus Retention Risk Assessment in a Drinking Water Source Area under Anthropogenic Activities. REMOTE SENSING 2022. [DOI: 10.3390/rs14092070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Excessive nitrogen (N) and phosphorus (P) input resulting from anthropogenic activities seriously threatens the supply security of drinking water sources. Assessing nutrient input and export as well as retention risks is critical to ensuring the quality and safety of drinking water sources. Conventional balance methods for nutrient estimation rely on statistical data and a huge number of estimation coefficients, which introduces uncertainty into the model results. This study aimed to propose a convenient, reliable, and accurate nutrient prediction model to evaluate the potential nutrient retention risks of drinking water sources and reduce the uncertainty inherent in the traditional balance model. The spatial distribution of pollutants was characterized using time-series satellite images. By embedding human activity indicators, machine learning models, such as Random Forest (RF), Support Vector Machine (SVM), and Multiple Linear Regression (MLR), were constructed to estimate the input and export of nutrients. We demonstrated the proposed model’s potential using a case study in the Yanghe Reservoir Basin in the North China Plain. The results indicate that the area information concerning pollution source types was effectively established based on a multi-temporal fusion method and the RF classification algorithm, and the overall classification low-end accuracy was 92%. The SVM model was found to be the best in terms of predicting nutrient input and export. The determination coefficient (R2) and Root Mean Square Error (RMSE) of N input, P input, N export, and P export were 0.95, 0.94, 0.91, and 0.93, respectively, and 32.75, 5.18, 1.45, and 0.18, respectively. The low export ratios (2.8–3.0% and 1.1–2.2%) of N and P, the ratio of export to input, further confirmed that more than 97% and 98% of N and P, respectively, were retained in the watershed, which poses a pollution risk to the soil and the quality of drinking water sources. This nutrient prediction model is able to improve the accuracy of non-point source pollution risk assessment and provide useful information for water environment management in drinking water source regions.
Collapse
|
11
|
Van Staden TL, Van Meter KJ, Basu NB, Parsons CT, Akbarzadeh Z, Van Cappellen P. Agricultural phosphorus surplus trajectories for Ontario, Canada (1961-2016), and erosional export risk. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 818:151717. [PMID: 34800447 DOI: 10.1016/j.scitotenv.2021.151717] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/01/2021] [Accepted: 11/12/2021] [Indexed: 06/13/2023]
Abstract
Management strategies aimed at reducing nutrient enrichment of surface waters may be hampered by nutrient legacies that have accumulated in the landscape. Here, we apply the Net Anthropogenic Phosphorus Input (NAPI) model to reconstruct the historical phosphorus (P) input trajectories for the province of Ontario, which encompasses the Canadian portion of the drainage basin of the Laurentian Great Lakes (LGL). NAPI considers P inputs from detergent, human and livestock waste, fertilizer inputs, and P outputs by crop uptake. During the entire time period considered, from 1961 to 2016, Ontario experienced positive annual NAPI values. Despite a generally downward NAPI trend since the late 1970s, the lower LGL, especially Lake Erie, continue to be plagued by algal blooms. When comparing NAPI results and river monitoring data for the period 2003 to 2013, P discharged by Canadian rivers into Lake Erie only accounts for 12.5% of the NAPI supplied to the watersheds' agricultural areas. Thus, over 85% of the agricultural NAPI is retained in the watersheds where it contributes to a growing P legacy, primarily as soil P. The slow release of legacy P therefore represents a long-term risk to the recovery of the lake. To help mitigate this risk, we present a methodology to spatially map out the source areas with the greatest potential of erosional export of legacy soil P to surface waters. These areas should be prioritized in soil conservation efforts.
Collapse
Affiliation(s)
- Tamara L Van Staden
- Department of Earth and Environmental Sciences and Water Institute, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
| | - Kim J Van Meter
- Department of Earth and Environmental Sciences, University of Illinois at Chicago, Chicago, IL 60607-7059, United States
| | - Nandita B Basu
- Department of Earth and Environmental Sciences and Water Institute, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada; Department of Civil and Environmental Engineering and Water Institute, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - Chris T Parsons
- Watershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, Burlington, Ontario L7S 1A1, Canada
| | - Zahra Akbarzadeh
- Department of Earth and Environmental Sciences and Water Institute, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - Philippe Van Cappellen
- Department of Earth and Environmental Sciences and Water Institute, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| |
Collapse
|
12
|
Zhong W, Wang S, Dong Y, Ni Z, Fan Y, Wu D. Trends of the response-relationship between net anthropogenic nitrogen and phosphorus inputs (NANI/NAPI) and TN/TP export fluxes in Raohe basin, China. CHEMOSPHERE 2022; 286:131662. [PMID: 34346349 DOI: 10.1016/j.chemosphere.2021.131662] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 07/19/2021] [Accepted: 07/22/2021] [Indexed: 06/13/2023]
Abstract
The intensification of anthropogenic nitrogen (N) and phosphorus (P) inputs profoundly affects water environmental quality. Hence it is pivotal to clarify the response relationship between riverine TN/TP export and anthropogenic N/P inputs to provide strategies guidance in N/P management. Based on the variation of net anthropogenic N and P inputs (NANI/NAPI) in the Raohe basin from 1990 to 2018, we constructed the response relationship between NANI/NAPI and total nitrogen and phosphorus (TN/TP) export fluxes in the riverine, which successfully predicted N and P export at the basin scale management. We found N export ratio (ratio of TN export to NANI) increased with slight fluctuation and was mainly affected by the combined effects of Nfer (fertilizer N inputs) and Ndep (atmospheric N deposition) etc., while the decrease of P export ratio (ratio of TP export to NAPI) was mainly due to intensive retention effect of the soil and sediment induced by anthropogenic influence to P transportation process. These results indicate that the downstream aquatic systems take a high risk of increasing N load pressure and the basin systems suffer a danger from rising P load pressure. Therefore, it is recommended to concentrate more on downstream aquatic systems during the N management strategy implementation and pay closer attention to the whereabouts of P in the basin system.
Collapse
Affiliation(s)
- Wenjun Zhong
- Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resources Environmental and Chemical Engineering, Nanchang University, Nanchang, 330031, China; Guangdong-Hong Kong Joint Laboratory for Water Security, Research Center of Water Science, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, 519087, China; Engineering Research Center of Ministry of Education on Groundwater Pollution Control and Remediation, College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Shengrui Wang
- Guangdong-Hong Kong Joint Laboratory for Water Security, Research Center of Water Science, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, 519087, China; Engineering Research Center of Ministry of Education on Groundwater Pollution Control and Remediation, College of Water Sciences, Beijing Normal University, Beijing, 100875, China.
| | - Yue Dong
- Guangdong-Hong Kong Joint Laboratory for Water Security, Research Center of Water Science, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, 519087, China; Engineering Research Center of Ministry of Education on Groundwater Pollution Control and Remediation, College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Zhaokui Ni
- Guangdong-Hong Kong Joint Laboratory for Water Security, Research Center of Water Science, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, 519087, China; Engineering Research Center of Ministry of Education on Groundwater Pollution Control and Remediation, College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Yu Fan
- School of Economics and Management, Beijing Information Science and Technology University, Beijing, 100192, PR China
| | - Daishe Wu
- Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resources Environmental and Chemical Engineering, Nanchang University, Nanchang, 330031, China
| |
Collapse
|
13
|
Wang Y, Liu G, Zhao Z, Wu C, Yu B. Using soil erosion to locate nonpoint source pollution risks in coastal zones: A case study in the Yellow River Delta, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 283:117117. [PMID: 33872937 DOI: 10.1016/j.envpol.2021.117117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 03/13/2021] [Accepted: 04/07/2021] [Indexed: 06/12/2023]
Abstract
Soil erosion contributes greatly to nonpoint source pollution (NSP). We built a coastal NSP risk calculation method (CNSPRI) based on the Revised Universal Soil Loss Equation (RUSLE) and geospatial methods. In studies on the formation and transport of coastal NSP, we analysed the pollution impacts on the sea by dividing subbasins into the sea and monitoring the pollutant flux. In this paper, a case study in the Yellow River Delta showed that the CNSPRI could better predict the total nitrogen (TN) and total phosphorus (TP) NSP risks. The value of the soil erodibility factor (K) was 0.0377 t h·MJ-1·mm-1, indicating higher soil erodibility levels, and presented an increased trend from the west to the east coast. The NSP risk also showed an increased trend from west to east, and the worst status was found near the Guangli River of the south-eastern region. The contributions of the seven influencing factors to CNSPRI presented an order of vegetation cover > rainfall erosivity > soil content > soil erodibility > flow > flow path > slope. The different roles of source and sink landscapes influenced the pollutant outputs on a subbasin scale. Arable land and saline-alkali land were the two land-use types with the greatest NSP risks. Therefore, in coastal zones, to reduce NSP output risks, we should pay more attention to the spatial distribution of vegetation cover, increase its interception effect on soil loss, and prioritize the improvement of saline-alkali land to reduce the amount of bare land.
Collapse
Affiliation(s)
- Youxiao Wang
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Gaohuan Liu
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China.
| | - Zhonghe Zhao
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Chunsheng Wu
- Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Bowei Yu
- School of Environment, Beijing Normal University, Beijing, 100875, China.
| |
Collapse
|
14
|
Cui M, Guo Q, Wei R, Chen T. Temporal-spatial dynamics of anthropogenic nitrogen inputs and hotspots in a large river basin. CHEMOSPHERE 2021; 269:129411. [PMID: 33388570 DOI: 10.1016/j.chemosphere.2020.129411] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 12/17/2020] [Accepted: 12/20/2020] [Indexed: 06/12/2023]
Abstract
Environmental pollution caused by human activities in the Yangtze River Basin (YRB), especially nitrogen pollution, has always been a hot topic. High-intensity anthropogenic nitrogen (AN) inputs have undergone some changes on account of environmental management practices in the YRB. We used the latest statistical data (2000-2017) to estimate spatiotemporal heterogeneity of AN inputs across the YRB, characterize hotspots of AN inputs, and predict the future trend, which is critical to meet nitrogen management challenges. We found agricultural sources were major contributors to nitrogen inputs (more than 70%) in the YRB. Due to the reduction in agricultural fertilizers use in China, AN inputs had gradually decreased from a peak of 19.0 Tg/yr in 2014 after a rapid growth period. Additionally, the nitrogen flux in sub-catchments and from various sources indicated an increasing distribution characteristic from the upper reaches to the lower reaches. Hotspots of AN inputs were mainly concentrated in the Sichuan Basin and the Middle-Lower Yangtze Plain (more than 50 tons/km2), however, growth rates were relatively low or even negative. STIRPAT model showed population size was the most important factor affecting AN loads. Although the growth rate would slow down in the future, AN loads would be maintained at a high level. Besides, aquaculture had become an important source of potential nitrogen growth in the whole basin, although the contribution was relatively small at present. Controlling nitrogen loads in hotspots and avoiding high inputs of new nitrogen sources should be the focus of future nitrogen environmental management.
Collapse
Affiliation(s)
- Meng Cui
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qingjun Guo
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China.
| | - Rongfei Wei
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Ting Chen
- College of Geography and Tourism, Chongqing Normal University, Chongqing, 401331, China; Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen, 518055, China
| |
Collapse
|
15
|
Mao Y, Zhang H, Tang W, Zhao J, Wang Z, Fan A. Net anthropogenic nitrogen and phosphorus inputs in Pearl River Delta region (2008-2016). JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 282:111952. [PMID: 33461089 DOI: 10.1016/j.jenvman.2021.111952] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 12/28/2020] [Accepted: 01/04/2021] [Indexed: 06/12/2023]
Abstract
Excess inputs of nitrogen (N) and phosphorus (P) are the main contributors of aquatic environmental deterioration. Due to the agricultural and industrial activities in the rapidly urbanized basin, the anthropogenic N and P cycle are significantly different from other regions. In this study, we took the Pearl River Delta as an example and introduced the budget list of N and P in the five survey years, including the net anthropogenic N inputs (NANI) and net anthropogenic P inputs (NAPI). The results revealed that the intensities of NANI and NAPI in this area increased from 2008 to 2010 and then decreased after 2010. The peak values were 21001 kg N km-2yr-1 and 4515 kg P km-2yr-1 for the intensities of NNAI and NAPI, respectively, while the lowest values decreased to 19186 kg N km-2yr-1 and 4103 kg P km-2yr-1 in 2016. The most important contribution of NANI and NAPI sources in this area were net N and P inputs for human food and animal feed with an average contribution of 61.41% and 76.83%, which indicated that large amounts of N and P were introduced into the environment through the food system. This study expanded the knowledge on regional environmental management from human dietary consumption, human life consumption, animal consumption and fertilizer consumption. Its reuse will be put into practice by understanding the driving factors of N and P inputs in each region of the basin, combining the urbanization characteristics.
Collapse
Affiliation(s)
- Yupeng Mao
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture and Rural Affairs, College of Resources and Environment, Huazhong Agricultural University, Wuhan, 430070, PR China; University of Chinese Academy of Science, Beijing, 100049, PR China
| | - Hong Zhang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; University of Chinese Academy of Science, Beijing, 100049, PR China.
| | - Wenzhong Tang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; University of Chinese Academy of Science, Beijing, 100049, PR China.
| | - Jianwei Zhao
- Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture and Rural Affairs, College of Resources and Environment, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Zhipeng Wang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; University of Chinese Academy of Science, Beijing, 100049, PR China
| | - Aoxiang Fan
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; University of Chinese Academy of Science, Beijing, 100049, PR China; College of the Environment, China University of Geosciences, Wuhan, 430074, PR China
| |
Collapse
|
16
|
Cui M, Guo Q, Wei R, Tian L. Human-driven spatiotemporal distribution of phosphorus flux in the environment of a mega river basin. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 752:141781. [PMID: 33207526 DOI: 10.1016/j.scitotenv.2020.141781] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 08/16/2020] [Accepted: 08/17/2020] [Indexed: 05/25/2023]
Abstract
Large river basins transport considerable nutrients to the ocean every year. However, phosphorus (P) generated by human activities not only threatens aquatic ecosystem health in the river basin, but also has a negative effect on the estuary water environment. To better understand the environmental effects of anthropogenic P in a mega basin, we examined its inputs and distribution characteristics, and analyzed the factors driving it in the Yangtze River Basin (YRB) and sub-catchments. Anthropogenic P flux in the sub-catchments gradually increased from upper to lower reaches, and hotspots were primarily concentrated in traditional agricultural areas such as the Sichuan Basin and the Middle-Lower Yangtze plains. Agricultural sources were the main anthropogenic P inputs, of which fertilizer P was the leading contributor and driver of P changes, but livestock manure also accounted for a high proportion. Presently, anthropogenic P inputs in the YRB are considerably higher than in other parts of the world. Although long-distance transportation allows some P from the entire basin to be deposited in freshwater, a large amount of P still reaches the estuary and has a negative effect on water quality, outweighing the influence of local coastal inputs. To maintain the ecological health of the river basin and estuary, it will be necessary to further improve P utilization efficiency and encourage greater cooperation between different regions in the river basin.
Collapse
Affiliation(s)
- Meng Cui
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qingjun Guo
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China.
| | - Rongfei Wei
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Liyan Tian
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| |
Collapse
|
17
|
Wang Y, Xie X, Liu C, Wang Y, Li M. Variation of net anthropogenic phosphorus inputs (NAPI) and riverine phosphorus fluxes in seven major river basins in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 742:140514. [PMID: 32721720 DOI: 10.1016/j.scitotenv.2020.140514] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 06/08/2020] [Accepted: 06/24/2020] [Indexed: 06/11/2023]
Abstract
The riverine phosphorus (P) import resulting from human activities is always a worldwide concern for environmental management due to the effect of eutrophication. In this study, we made modification of the NAPI method to make the results closer to the actual situation. We collected the data of seven major outflow rivers in China to have a comprehensive understanding of P export and P inputs and build the quantitative relationship between them. We estimated the net anthropogenic phosphorus inputs (NAPI), including fertilizer P (Pfert), net food and feed import P and non-food P using by human (Pim+nf), in seven major river basins in China and the corresponding riverine total phosphorus (TP) fluxes. The relationship between NAPI and riverine TP flux was also explored. NAPI in seven river basins presented an obvious uneven distribution. Huaihe River basin showed the highest NAPI of 4005.09 kg P km-2 yr-1 due to its highest intensities of human-activities, and the lowest NAPI was observed in Songhua River basin as 334.36 kg P km-2 yr-1. Pim+nf occupied a larger proportion of NAPI in the Pearl River and Liaohe River basins (> 65%), while Pfert contributed more to NAPI in the other basins (nearly 60%) with an exception of the Yangtze River basin (where Pim+nf and Pfert approximately contributed the same). Different contributions of NAPI components were mainly attributed to the different land uses. The total TP flux of all the seven rivers was 117.10 × 103 t P yr-1, with the highest flux in the Yangtze River (77.42 × 103 t P yr-1), contributed 72.88% to the total TP fluxes in China. Change in riverine TP flux could be well described by NAPI, river discharge, and percentage of lake area in the basin and this provided an effective way to predict TP fluxes in rivers.
Collapse
Affiliation(s)
- Yushan Wang
- College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China
| | - Xin Xie
- China National Environmental Monitoring Centre, Beijing 100012, China
| | - Cheng Liu
- International Research and Training Center on Erosion and Sedimentation, Beijing 100048, China
| | - Yeyao Wang
- China National Environmental Monitoring Centre, Beijing 100012, China
| | - Min Li
- College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China.
| |
Collapse
|
18
|
Liao R, Hu J, Li Y, Li S. Phosphorus transport in riverbed sediments and related adsorption and desorption characteristics in the Beiyun River, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 266:115153. [PMID: 32663633 DOI: 10.1016/j.envpol.2020.115153] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 06/09/2020] [Accepted: 06/29/2020] [Indexed: 06/11/2023]
Abstract
Riverbed sediments are the interface layer in riverine ecosystems connecting the overlying medium of water and the vadose zone. The transport behavior of phosphorus (P), which has been recognized as the primary cause of freshwater eutrophication, in riverbed sediments remains unclear. Understanding the impact of riverbed sediments on P transport is a necessary prerequisite for the development of appropriate strategies to reduce potential groundwater pollution. In this study, riverbed sediments were collected from the upstream, midstream, and downstream sections of the Beiyun River, China, and packed into vertical soil columns to perform leaching experiments to quantify P transport characteristics. In addition, the impact mechanisms were further explored by conducting laboratory batch tests of P adsorption and desorption. The results demonstrated that approximately 80% of P can be adsorbed by riverbed sediments in soil column leaching experiment, and a tailing phenomenon was observed in its desorption. The hydraulic conductivity properties of riverbed sediments were evaluated by the advection-dispersion equation, showing a gradually decreasing adsorption capacity for P from upstream to downstream sections, which was supported by the results obtained from adsorption-desorption thermodynamic and kinetic batch tests. The estimated annual leaching masses of P increased from 60.72 g/(m2 a) in the upstream section to 132.31 g/(m2 a) in the downstream section. The role of riverbed sediments as a source or sink of P is possibly determined by their coarse sand particles content, and the mean equilibrium P concentration (EPC0). The competitive relationship between P and other forms of nutrients also has an important influence on its source-sink role. These findings suggest that the prevention of the potential P leaching is most needed in the downstream sections of Beiyun River, and corresponding control strategies should be developed to avoid groundwater pollution.
Collapse
Affiliation(s)
- Renkuan Liao
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Jieyun Hu
- College of Water Conservancy and Civil Engineering, China Agricultural University, Beijing 100083, PR China
| | - Yunkai Li
- College of Water Conservancy and Civil Engineering, China Agricultural University, Beijing 100083, PR China
| | - Shuqin Li
- College of Water Conservancy and Civil Engineering, China Agricultural University, Beijing 100083, PR China.
| |
Collapse
|
19
|
Hu M, Liu Y, Zhang Y, Shen H, Yao M, Dahlgren RA, Chen D. Long-term (1980-2015) changes in net anthropogenic phosphorus inputs and riverine phosphorus export in the Yangtze River basin. WATER RESEARCH 2020; 177:115779. [PMID: 32294592 DOI: 10.1016/j.watres.2020.115779] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 03/31/2020] [Accepted: 04/01/2020] [Indexed: 06/11/2023]
Abstract
Quantitative information on long-term net anthropogenic phosphorus inputs (NAPI) and its relationship with riverine phosphorus (P) export are critical for developing sustainable and efficient watershed P management strategies. This is the first study to address long-term (1980-2015) NAPI and riverine P flux dynamics for the Yangtze River basin (YRB), the largest watershed in China. Over the 36-year study period, estimated NAPI to the YRB progressively increased by ∼1.4 times, with NAPIA (chemical fertilizer input + atmospheric deposition + seed input) and NAPIB (net food/feed imports + non-food input) contributing 65% and 35%, respectively. Higher population, livestock density and agricultural land area were the main drivers of increasing NAPI. Riverine total phosphorus (TP), particulate phosphorus (PP) and suspended sediment (SS) export at Datong hydrological station (downstream station) decreased by 52%, 75% and 75% during 1980-2015, respectively. In contrast, dissolved phosphorus (DP) showed an increase in both concentration (∼7-fold) and its contribution to TP flux (∼16-fold). Different trends in riverine P forms were mainly due to increasing dam/reservoir construction and changes in vegetation/land use and NAPI components. Multiple regression models incorporating NAPIA, NAPIB, dam/reservoir storage capacity and water discharge explained 84% and 92% of the temporal variability in riverine DP and PP fluxes, respectively. Riverine TP flux estimated as the sum of DP and PP fluxes showed high agreement with measured values (R2 = 0.87, NSE = 0.84), indicating strong efficacy for the developed models. The model forecasted an increase of 50% and 7% and a decrease of 15% and 22% in riverine DP flux from 2015 to 2045 under developing, dam building, NAPIA and NAPIB reduction scenarios, respectively. This study highlights the importance of including enhanced P transformation from particulate to bioavailable forms due to river regulation and changes in land-use, input sources and legacy P pools in development of P pollution control strategies.
Collapse
Affiliation(s)
- Minpeng Hu
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Yanmei Liu
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Yufu Zhang
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Hong Shen
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Mengya Yao
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Randy A Dahlgren
- Department of Land, Air, and Water Resources, University of California, Davis, CA, 95616, USA
| | - Dingjiang Chen
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China; Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, Zhejiang University, Hangzhou, 310058, China; Zhejiang Provincial Key Laboratory of Subtropical Soil and Plant Nutrition, Zhejiang University, Hangzhou, 310058, China.
| |
Collapse
|
20
|
Gao W, Duan Z, Yan C, Liu C. Influence of nutrient mitigation measures on the fractional export of watershed inputs in an urban watershed. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:18521-18529. [PMID: 32198687 DOI: 10.1007/s11356-020-08411-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 03/12/2020] [Indexed: 06/10/2023]
Abstract
Enhanced nutrient inputs due to human activities have been noted as a significant driving force for riverine nutrient exports which are responsible for the eutrophication issues in freshwaters. Current studies are mostly focused on the relationship between anthropogenic inputs and riverine exports, and little has been done to assess the role of nutrient mitigation measures in the fractional export of watershed nutrient inputs in urban regions. A highly urbanized watershed in Yun-Gui plateau of China, Lake Dianchi basin was studied as a case to assess the impact of nutrient mitigation measures on riverine nutrient exports. Based on net anthropogenic nitrogen and phosphorus inputs (NANI and NAPI, respectively) models, nutrient inputs from human activities in the basin from 1980 to 2015 were calculated, and the impact of nutrient mitigation measures were identified using a statistical model incorporating land use, precipitation, and temperature. Nutrient inputs from human action in the basin has increased rapidly, mainly from fertilizer application and food and feed imports. Enhanced riverine nutrient exports were found at the same time, and significantly correlated to nutrient inputs. The construction of water transfer projects and wastewater treatment plants in the basin has changed the controlling factors and processes of the fractional export of watershed nutrient inputs, which is weak in explanatory ability and eliminated the role of the land use. A modified model was established by incorporating the effect of water transfer projects and wastewater treatment plants, which showed a significant increase in model performance. The results from the modified model reveal that urban land percentage has become a positively driving force for the fractional export of watershed N and P inputs, and temperature a positive driving force for the fractional export of watershed N inputs while precipitation a negative driving force for the fractional export of watershed P inputs.
Collapse
Affiliation(s)
- Wei Gao
- School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650091, China.
| | - Zhongzhao Duan
- School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650091, China
| | - Chang'an Yan
- Kunming Institute of Environmental Science, Kunming, 650032, China
| | - Change Liu
- School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650091, China
| |
Collapse
|
21
|
Li Y, Yen H, Lei Q, Qiu W, Luo J, Lindsey S, Qin L, Zhai L, Wang H, Wu S, Li W, Hu W, Li H, Liu H. Impact of human activities on phosphorus flows on an early eutrophic plateau: A case study in Southwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 714:136851. [PMID: 32018984 DOI: 10.1016/j.scitotenv.2020.136851] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 12/29/2019] [Accepted: 01/20/2020] [Indexed: 06/10/2023]
Abstract
The net anthropogenic phosphorus inputs (NAPI) model has been used extensively to assess changes in phosphorus (P) inputs and cycling in the environment. However, temporary populations have generally been unconsidered in these assessments. In this study, the NAPI model was used to estimate P loads from the 16 towns and villages in the Erhai Lake Basin (ELB), Southwest China and to evaluate the potential impact from temporary residents (tourism). The results showed that the average value P inputs in the basin (estimated at 2384 kg P km-2 year-1) were 5 times the national average level, and that temporary residents contributed 1%. Agriculture accounted for most of the net P, with chemical fertilizers (55% of the inputs) as the main source, followed by food and animal feed. Only 9.54% of the P inputs to the basin were exported. River water quality and NAPI were significantly correlated (P < 0.01). Tourism industry contributes significantly to regional economic growth and prosperity, but its beneficial effects on the economy does not equate with the adverse impact on environment. This study illustrates what is happening in Southwest China and provides scientific evidence that shows we need to find novel ways to reduce nutrients.
Collapse
Affiliation(s)
- Ying Li
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Haw Yen
- Blackland Research and Extension Center, Texas A&M Agrilife Research, Texas A&M University, TX 76502, USA
| | - Qiuliang Lei
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Weiwen Qiu
- The New Zealand Institute for Plant and Food Research Limited, Private Bag 4704, Christchurch 8140, New Zealand
| | - Jiafa Luo
- AgResearch, Ruakura Research Centre, 10 Bisley Road, Hamilton 3214, New Zealand
| | - Stuart Lindsey
- AgResearch, Ruakura Research Centre, 10 Bisley Road, Hamilton 3214, New Zealand
| | - Lihuan Qin
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Limei Zhai
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Hongyuan Wang
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Shuxia Wu
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Wenchao Li
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Wanli Hu
- Institute of Agricultural Resources & Environment, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Huizhong Li
- Liaoning Provincial Department of Natural Resources, Shenyang 110032, China
| | - Hongbin Liu
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| |
Collapse
|
22
|
Zhang X, Yi Y, Yang Z. Nitrogen and phosphorus retention budgets of a semiarid plain basin under different human activity intensity. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 703:134813. [PMID: 31731160 DOI: 10.1016/j.scitotenv.2019.134813] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 10/01/2019] [Accepted: 10/02/2019] [Indexed: 06/10/2023]
Abstract
Excessive nitrogen (N) and phosphorus (P) runoff from human activities results in degraded water quality. It is, therefore, crucial to quantitatively assess nutrient inputs over time and their impact on riverine nutrient exports. In this study, we estimated the long-term (1995-2015) nutrient inputs at the county scale by integrating Net Anthropogenic Nitrogen Input (NANI) and Net Anthropogenic Phosphorus Input (NAPI) methods, and nutrient exports into rivers by the Export Coefficient Model (ECM) for a semiarid plain basin, the Baiyangdian (BYD) Basin, China. The results showed that N and P input intensities in the year 2015 reached 18852 kg N km2 yr-1 and 2073 kg P km-2 yr-1, showing a 35% and 11% increase in comparison with 1995, respectively. About 60% of these nutrients were derived from fertilizer application. The multi-year averaged N and P exported to rivers was 548 kg N km-2 yr-1 and 79 kg P km-2 yr-1, respectively. Hotspots for nutrient budgets were found in the southeastern counties. Hotspots covered about 12% of the total land, but contributed by 38-52% of total nutrient budgets. The nutrient export ratios showed no significantly temporal variations, and only about 2.15-2.89% of NANI and NAPI were exported into rivers. The low nutrient export ratio was due to the low water discharge that limited the nutrient transportation in the semi-arid plain basin. As most of anthropogenic nutrient inputs were retained in the basin, their impacts on the pollution of soils and aquifers need to be considered and adequately addressed in the future. This study constructs the spatial quantitative nutrient budgets, which can provide effective information for region policy formulation.
Collapse
Affiliation(s)
- Xiaoxin Zhang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Yujun Yi
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
| | - Zhifeng Yang
- Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, Guangdong 510006, China; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| |
Collapse
|
23
|
Swaney DP, Howarth RW. Phosphorus use efficiency and crop production: Patterns of regional variation in the United States, 1987-2012. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 685:174-188. [PMID: 31174115 DOI: 10.1016/j.scitotenv.2019.05.228] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Revised: 05/14/2019] [Accepted: 05/15/2019] [Indexed: 06/09/2023]
Abstract
Crop N use efficiency (NUE) and P use efficiency (PUE) might be expected to exhibit different patterns across agricultural regions due to their very different environmental dynamics and management strategies. Here, following our previous work on regional patterns of NUE, we review patterns of PUE and related variables, including major inputs of P to US crops over 1987-2012, based on the Farm Resource Regions developed by the Economic Research Service (USDA-ERS). Unlike N, P inputs to cropland only occur in the forms of P fertilizer, which has generally changed little over time relative to N fertilizer, and manure P, which has increased. Expressed as percentages of total P inputs, they necessarily have opposite impacts on PUE because of the stronger relationship of crop production to fertilizer compared to manure produced in a region. Across the US, PUE trends have varied significantly, increasing in some regions, in contrast to NUE which has generally remained constant or declined on decadal time scales. As with N, the Heartland region dominates national patterns due to the magnitude of crop production, showing a significant relationship with fertilizer P but none with manure P on a cropland area basis. Most other regions show similar responses, but the Northern Crescent, Eastern Uplands and Southern Seaboard regions shows a negative response to fertilizer on the same basis. The regional response of production to P inputs on a cropland area basis differs from that on a total area basis, suggesting that the type of scaling used is critical under changing cropland area. In the US, manure is still treated largely as a waste to be managed rather than a nutrient resource. Differences between P and N need to be considered in the context of management of environmental quality and food security.
Collapse
Affiliation(s)
- Dennis P Swaney
- Dept. of Ecology and Evolutionary Biology, Corson Hall, Cornell University, Ithaca, NY 14853, USA.
| | - Robert W Howarth
- Dept. of Ecology and Evolutionary Biology, Corson Hall, Cornell University, Ithaca, NY 14853, USA.
| |
Collapse
|
24
|
Zhang Z, Wang J, Feng Y. Linking the reclaimed soils and rehabilitated vegetation in an opencast coal mining area: a complex network approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:19365-19378. [PMID: 31073835 DOI: 10.1007/s11356-019-05285-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 04/25/2019] [Indexed: 06/09/2023]
Abstract
As two main factors, soil and vegetation play key roles in land rehabilitation and ecological remediation of mining areas. There is a complex interaction between soil and vegetation, and understanding the mechanisms of interaction between soil and vegetation is of great significance for land rehabilitation and ecological remediation in mining areas. This study introduced complex network method to analyze the complex interaction systematically. A survey of vegetation and soil properties in 70 reclaimed plots was carried out in the Anjialing and Antaibao opencast coal-mines in Shanxi, China. The indices of soil and vegetation acted as nodes, and the interaction between these indices as sides to establish a soil-vegetation network. Calculating the network indices to analyze the structure of a complex network and explore the mechanism of interaction between soil and vegetation. SOM (soil organic matter) was at the core of the soil-vegetation interaction network. The average path length of the soil-vegetation network was 1.8, with a faster rate of information transfer. The soil-vegetation network consisted of three clusters (soil physical property cluster, soil chemical property cluster, and vegetation cluster), in which the soil chemical property cluster owned the highest clustering coefficient and the largest number of triangles, and it was most stable and the interaction within the cluster was strongest. The soil-vegetation network was stable and the connectivity of the network had robustness to node failures. The scale of the network became larger and the network became tighter and more stable with the increase of reclamation time. Some measures should be conducted to promote vegetation restoration by improving important soil nodes, e.g., surface soil covering, applying organic fertilizer, and planting nitrogen-fixing plants.
Collapse
Affiliation(s)
- Zhaotong Zhang
- College of Land Science and Technology, China University of Geosciences, 29 Xueyuanlu, Haidian District, 100083, Beijing, People's Republic of China
| | - Jinman Wang
- College of Land Science and Technology, China University of Geosciences, 29 Xueyuanlu, Haidian District, 100083, Beijing, People's Republic of China.
- Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Natural Resources, 100035, Beijing, People's Republic of China.
| | - Yu Feng
- College of Land Science and Technology, China University of Geosciences, 29 Xueyuanlu, Haidian District, 100083, Beijing, People's Republic of China
| |
Collapse
|
25
|
Zhang W, Li H, Li Y. Spatio-temporal dynamics of nitrogen and phosphorus input budgets in a global hotspot of anthropogenic inputs. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 656:1108-1120. [PMID: 30625643 DOI: 10.1016/j.scitotenv.2018.11.450] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 11/29/2018] [Accepted: 11/29/2018] [Indexed: 06/09/2023]
Abstract
The increased input of anthropogenic nitrogen (N) and phosphorus (P) to watershed ecosystems has been cited as among the most important reasons for widespread water pollution. Revealing spatio-temporal patterns of N and P input budgets in regions with intensified human activity can facilitate a better understanding of human-induced N and P cycles. Here, we present budget inventories including both anthropogenic non-point and point N and P inputs into the Huai River Basin, which has been identified as one of the hotspots of anthropogenic inputs across the world. On average, total anthropogenic N and P inputs in the year 2010 reached 28,000 kg N km-2 yr-1 and 2800 kg P km-2 yr-1, showing a 50% and 42% increases in comparison with 1990, respectively. Both non-point-source and point-source N & P inputs have exhibited a rapid increase from 1990 to 2010, which has been related to the increasing human population and socio-economic development. The intensive farming implemented to meet the growing food demand was responsible for continuous growth in non-point-source inputs. Meanwhile, rapid urbanization with lagged environmental management was the major reason for the increased point-source inputs. Spatial patterns of N & P inputs were similar across different periods, showing that the hotspots generally centralized in a few northern counties. By further interpreting the critical sources and their drivers of inputs to each region through time, our work provides insights for targeted management. Future mitigation strategies such as optimizing the farming methods, improving manure management and enhancing sewage treatment are necessary to address the environmental concerns of excessive inputs.
Collapse
Affiliation(s)
- Wangshou Zhang
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Hengpeng Li
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
| | - Yunliang Li
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| |
Collapse
|
26
|
Viaroli P, Soana E, Pecora S, Laini A, Naldi M, Fano EA, Nizzoli D. Space and time variations of watershed N and P budgets and their relationships with reactive N and P loadings in a heavily impacted river basin (Po river, Northern Italy). THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 639:1574-1587. [PMID: 29929320 DOI: 10.1016/j.scitotenv.2018.05.233] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 05/18/2018] [Accepted: 05/19/2018] [Indexed: 06/08/2023]
Abstract
The aim of the present study is to analyze relationships between land uses and anthropogenic pressures, and nutrient loadings in the Po river basin, the largest hydrographic system in Italy, together with the changes they have undergone in the last half century. Four main points are addressed: 1) spatial distribution and time evolution of land uses and associated N and P budgets; 2) long-term trajectories of the reactive N and P loadings exported from the Po river; 3) relationships between budgets and loadings; 4) brief review of relationships between N and P loadings and eutrophication in the Northern Adriatic Sea. Net Anthropogenic N (NANI) and P (NAPI) inputs, and N and P surpluses in the cropland between 1960 and 2010 were calculated. The annual loadings of dissolved inorganic nitrogen (DIN) and soluble reactive phosphorus (SRP) exported by the river were calculated for the whole 1968-2016 period. N and P loadings increased from the 1960s to the 1980s, as NAPI and NANI and N and P surpluses increased. Thereafter SRP declined, while DIN remained steadily high, resulting in a notable increase of the N:P molar ratio from 47 to 100. In the same period, the Po river watershed underwent a trajectory from net autotrophy to net heterotrophy, which reflected its specialization toward livestock farming. This study also demonstrates that in a relatively short time, i.e. almost one decade, N and P sources were relocated within the watershed, due to discordant environmental policies and mismanagement on the local scale, with frequent episodes of heavy pollution. This poses key questions about the spatial scale on which problems have to be dealt with in order to harmonize policies, set sustainable management goals, restore river basins and, ultimately, protect the adjacent coastal seas from eutrophication.
Collapse
Affiliation(s)
- Pierluigi Viaroli
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy; CoNISMa, piazzale Flaminio 9, 00196 Roma, Italy.
| | - Elisa Soana
- Department of Life Sciences and Biotechnology, University of Ferrara, via L. Borsari, 46 44121 Ferrara, Italy
| | - Silvano Pecora
- ARPAE SIMC - Hydrology Unit, Via Garibaldi, 75, 43121 Parma, Italy
| | - Alex Laini
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy
| | - Mariachiara Naldi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy; CoNISMa, piazzale Flaminio 9, 00196 Roma, Italy
| | - Elisa Anna Fano
- CoNISMa, piazzale Flaminio 9, 00196 Roma, Italy; Department of Life Sciences and Biotechnology, University of Ferrara, via L. Borsari, 46 44121 Ferrara, Italy
| | - Daniele Nizzoli
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy
| |
Collapse
|
27
|
Assessment of Long-Term Watershed Management on Reservoir Phosphorus Concentrations and Export Fluxes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15102169. [PMID: 30279393 PMCID: PMC6211062 DOI: 10.3390/ijerph15102169] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Revised: 09/25/2018] [Accepted: 10/01/2018] [Indexed: 11/17/2022]
Abstract
Source water nutrient management to prevent eutrophication requires critical strategies to reduce watershed phosphorus (P) loadings. Shanxi Drinking-Water Source Area (SDWSA) in eastern China experienced severe water quality deterioration before 2010, but showed considerable improvement following application of several watershed management actions to reduce P. This paper assessed the changes in total phosphorus (TP) concentrations and fluxes at the SDWSA outlet relative to watershed anthropogenic P sources during 2005–2016. Overall anthropogenic P inputs decreased by 21.5% over the study period. Domestic sewage, livestock, and fertilizer accounted for (mean ± SD) 18.4 ± 0.6%, 30.1 ± 1.9%, and 51.5 ± 1.5% of total anthropogenic P inputs during 2005–2010, compared to 24.3 ± 2.7%, 8.8 ± 10.7%, and 66.9 ± 8.0% for the 2011–2016 period, respectively. Annual average TP concentrations in SDWSA decreased from 0.041 ± 0.019 mg/L in 2009 to 0.025 ± 0.013 mg/L in 2016, a total decrease of 38.2%. Annual P flux exported from SDWSA decreased from 0.46 ± 0.04 kg P/(ha·a) in 2010 to 0.25 ± 0.02 kg P/(ha·a) in 2016, a decrease of 44.9%. The success in reducing TP concentrations was mainly due to the development of domestic sewage/refuse collection/treatment and improved livestock management. These P management practices have prevented harmful algal blooms, providing for safe drinking water.
Collapse
|
28
|
Meng C, Liu H, Wang Y, Li Y, Zhou J, Zhou P, Liu X, Li Y, Wu J. Response of regional agricultural soil phosphorus status to net anthropogenic phosphorus input (NAPI) determined by soil pH value and organic matter content in subtropical China. CHEMOSPHERE 2018; 200:487-494. [PMID: 29501886 DOI: 10.1016/j.chemosphere.2018.02.125] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 02/08/2018] [Accepted: 02/21/2018] [Indexed: 06/08/2023]
Abstract
Exploring the relationship between net anthropogenic phosphorus input (NAPI) and soil available P (SAP) content could inform applied issues related to environmental quality and agronomic productivity and increase our knowledge of element biogeochemical cycles. Here, the NAPI was estimated and the SAP content determined in eight counties in subtropical China from 1980 to 2010. It is suggested that the NAPI ranging 318-924 km-2 yr-1 in 1980 had increased substantially to 865-3601 km-2 yr-1 in 2010 across the eight counties, in which the P fertilizer application was estimated to represent the largest individual source of NAPI, accounting for an average of 36.1-74.6% of the NAPI. The NAPI in agricultural land (NAPIa) was the largest component of the NAPI, and 60.7-77.1% of the NAPIa accumulated in the upper 20 cm layer of agricultural soils, which significantly increased soil total-P (TP) and SAP contents. The increases in SAP, resulting from 10,000 kg P km-2 of the NAPIa (IOPNAPI), were estimated to be 1.61-4.36 mg P kg-1 in the counties. Both the correlation and variation partitioning analyses (VPAs) suggested that the soil pH and organic matter content (SOM) were the most important factors influencing the variations of IOPNAPI (determination coefficient: 72.5%). Therefore, the contribution of soil pH and SOM should be considered in enriching soil SAP levels and implementing optimal P management strategies to improving the agronomic effectiveness of P fertilization and further reduce the environmental risk of P loss in subtropical region.
Collapse
Affiliation(s)
- Cen Meng
- Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Key Laboratory of Agro-ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; University of Chinese Academy of Sciences, Beijing 10049, China
| | - Huanyao Liu
- College of Biological Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Yi Wang
- Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Key Laboratory of Agro-ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.
| | - Yuyuan Li
- Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Key Laboratory of Agro-ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Jiaogen Zhou
- Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Key Laboratory of Agro-ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Ping Zhou
- Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Key Laboratory of Agro-ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Xinliang Liu
- Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Key Laboratory of Agro-ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Yong Li
- Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Key Laboratory of Agro-ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Jinshui Wu
- Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Key Laboratory of Agro-ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| |
Collapse
|
29
|
Deteriorated Water Quality of Agricultural Catchments in South China by Net Anthropogenic Phosphorus Inputs. SUSTAINABILITY 2017. [DOI: 10.3390/su9091480] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
30
|
Gao W, Swaney DP, Hong B, Howarth RW, Liu Y, Guo H. Evaluating anthropogenic N inputs to diverse lake basins: A case study of three Chinese lakes. AMBIO 2015; 44:635-46. [PMID: 25698057 PMCID: PMC4591232 DOI: 10.1007/s13280-015-0638-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Revised: 01/12/2015] [Accepted: 02/03/2015] [Indexed: 05/27/2023]
Abstract
The environmental degradation of lakes in China has become increasingly serious over the last 30 years and eutrophication resulting from enhanced nutrient inputs is considered a top threat. In this study, a quasi-mass balance method, net anthropogenic N inputs (NANI), was introduced to assess the human influence on N input into three typical Chinese lake basins. The resultant NANI exceeded 10,000 kg N km(-2) year(-1) for all three basins, and mineral fertilizers were generally the largest sources. However, rapid urbanization and shrinking agricultural production capability may significantly increase N inputs from food and feed imports. Higher percentages of NANI were observed to be exported at urban river outlets, suggesting the acceleration of NANI transfer to rivers by urbanization. Over the last decade, the N inputs have declined in the basins dominated by the fertilizer use but have increased in the basins dominated by the food and feed import. In the foreseeable future, urban areas may arise as new hotspots for nitrogen in China while fertilizer use may decline in importance in areas of high population density.
Collapse
Affiliation(s)
- Wei Gao
- College of Environmental Sciences and Engineering, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Peking University, Beijing, 100871, China.
| | - Dennis P Swaney
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14850, USA.
| | - Bongghi Hong
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14850, USA.
| | - Robert W Howarth
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14850, USA.
| | - Yong Liu
- College of Environmental Sciences and Engineering, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Peking University, Beijing, 100871, China.
| | - Huaicheng Guo
- College of Environmental Sciences and Engineering, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Peking University, Beijing, 100871, China.
| |
Collapse
|
31
|
Du X, Li X, Zhang W, Wang H. Variations in source apportionments of nutrient load among seasons and hydrological years in a semi-arid watershed: GWLF model results. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2014; 21:6506-6515. [PMID: 24464078 DOI: 10.1007/s11356-014-2519-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2013] [Accepted: 01/05/2014] [Indexed: 06/03/2023]
Abstract
Quantifying source apportionments of nutrient load and their variations among seasons and hydrological years can provide useful information for watershed nutrient load reduction programs. There are large seasonal and inter-annual variations in nutrient loads and their sources in semi-arid watersheds that have a monsoon climate. The Generalized Watershed Loading Function model was used to simulate monthly nutrient loads from 2004 to 2011 in the Liu River watershed, Northern China. Model results were used to investigate nutrient load contributions from different sources, temporal variations of source apportionments and the differences in the behavior of total nitrogen (TN) and total phosphorus (TP). Examination of source apportionments for different seasons showed that point sources were the main source of TN and TP in the non-flood season, whereas contributions from diffuse sources, such as rural runoff, soil erosion, and urban areas, were much higher in the flood season. Furthermore, results for three typical hydrological years showed that the contribution ratios of nutrient loads from point sources increased as streamflow decreased, while contribution ratios from rural runoff and urban area increased as streamflow increased. Further, there were significant differences between TN and TP sources on different time scales. Our findings suggest that priority actions and management measures should be changed for different time periods and hydrological conditions, and that different strategies should be used to reduce loads of nitrogen and phosphorus effectively.
Collapse
Affiliation(s)
- Xinzhong Du
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Shuangqing Road 18, Beijing, 100085, China
| | | | | | | |
Collapse
|