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Li Y, Tu Y, Sun T, Duan Y, Kou J, Li W, Gao J. Source apportionment of organic carbon and nitrogen in sediments from river and lake in the highly urbanized Changjiang Delta. JOURNAL OF HAZARDOUS MATERIALS 2024; 478:135590. [PMID: 39178786 DOI: 10.1016/j.jhazmat.2024.135590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 08/03/2024] [Accepted: 08/19/2024] [Indexed: 08/26/2024]
Abstract
While the impact of human activities on organic matter pollution is recognized, how these impacts vary seasonally in the Changjiang Delta needs further investigation. This study addresses this gap by investigating seasonal variations in organic matter sources and ecological responses to human activities in Changjiang Delta sediments. Total organic carbon (TOC), total nitrogen (TN), and carbon (δ13C) and nitrogen (δ15N) isotopic compositions of surface sediments collected from the Taipu River and Dalian Lake wetland were analyzed. Both water bodies exhibited similar seasonal trends for TOC and TN, with the Taipu River containing an average of 0.46% and 0.03% higher concentrations of TOC and TN, respectively, compared to Dalian Lake. Additionally, the organic index (OI) and organic nitrogen (ON) index were elevated in both water bodies during the wet season. Sediments from Dalian Lake remained uncontaminated to moderately contaminated, while those from the Taipu River were generally classified as moderately to heavily contaminated. Stable isotope analysis identified terrestrial C3 plants (averaging 25.5%), C4 plants (averaging 16.0%), and municipal wastewater (averaging 16.0%) as the main contributors to organic matter in the sediments. These findings suggest that terrestrial plant material and municipal wastewater are key targets for managing organic matter contamination in the Changjiang Delta. Implementing strategic land-use planning and targeted interventions to minimize these inputs can significantly improve water quality and ecosystem health.
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Affiliation(s)
- Yalong Li
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
| | - Yaojen Tu
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China; Yangtze River Delta Urban Wetland Ecosystem National Field Observation and Research Station, Shanghai Normal University, Shanghai 200234, China.
| | - Tingting Sun
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
| | - Yanping Duan
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China; Yangtze River Delta Urban Wetland Ecosystem National Field Observation and Research Station, Shanghai Normal University, Shanghai 200234, China
| | - Jiayi Kou
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
| | - Weikun Li
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
| | - Jiaxin Gao
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
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Li M, Bian J, Wang Y, Cui X, Ding Y, Sun X, Wang F, Lou Y. Identifying interactions of linked irrigated lake-groundwater system by combining hydrodynamic and hydrochemical method. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:91956-91970. [PMID: 37480540 DOI: 10.1007/s11356-023-28884-0] [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: 04/03/2023] [Accepted: 07/16/2023] [Indexed: 07/24/2023]
Abstract
During the irrigation period, the interactions between the linked lake-groundwater systems are complicated and change. This is because natural and human activities are happening at the same time, which makes it harder to identify the interactions. This study uses data on water level, hydrochemistry, and hydrogen-oxygen stable isotopes to analyze the hydrodynamics, electrical conductivity (EC), isotopic characteristics, and spatial distribution of lake water and groundwater to reveal lake-groundwater interactions. The results indicate that the hydrochemical type of Chagan Lake and groundwater is dominated by the HCO3-Na type. The key hydrochemical indicator EC obtained by principal component analysis (PCA) can be used to reveal the lake-groundwater interaction, and the interaction should be identified by location according to the significant correlation between hierarchical clustering results and regional distribution. The lake body's geographic coefficient of variation for EC and δ18O is small, and irrigation return flow is one factor in the region's surface water's significant spatial variation for EC and δ18O. The three study methods indicate that the groundwater supplies the lake in the vicinity of the Huoling River-Hongzi Pool, while in other sections, the lake water leaks and replenishes the groundwater, exhibiting geographic inconsistency. The isotope method was employed as a support tool to determine that groundwater might recharge the lake at Xinmiao Pool. According to the calculations of the Mix SIAR model, the groundwater recharge contribution rate in the Xinmiao Pool section is approximately 51%, while in the remaining sections, the contribution rate of lake water to groundwater ranges from approximately 25% to 52%. Therefore, the identification of the interaction is crucial for the linked irrigated lake-groundwater system where water sources are scarce and threatened by agricultural pollution.
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Affiliation(s)
- MuRong Li
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
- College of New Energy and Environment, Jilin University, Changchun, 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Jianmin Bian
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
- College of New Energy and Environment, Jilin University, Changchun, 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Yu Wang
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China.
- College of New Energy and Environment, Jilin University, Changchun, 130021, China.
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China.
| | - Xinying Cui
- Songliao River Water Resources Commission of Ministry of Water Resources, Changchun, 130021, China
- Bureau of Hydrology, Songliao River Water Resources Commission of Ministry of Water Resources, Changchun, 130021, China
| | - Yuanfang Ding
- Songliao River Water Resources Commission of Ministry of Water Resources, Changchun, 130021, China
- Bureau of Hydrology, Songliao River Water Resources Commission of Ministry of Water Resources, Changchun, 130021, China
| | - Xiaoqing Sun
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
- College of New Energy and Environment, Jilin University, Changchun, 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Fan Wang
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
- College of New Energy and Environment, Jilin University, Changchun, 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Yuqi Lou
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
- College of New Energy and Environment, Jilin University, Changchun, 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
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Wang F, Bian J, Zheng G, Li M, Sun X, Zhang C. A modeling approach to the efficient evaluation and analysis of water quality risks in cold zone lakes: a case study of Chagan Lake in Northeast China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:34255-34269. [PMID: 36508101 DOI: 10.1007/s11356-022-24262-4] [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: 08/10/2022] [Accepted: 11/14/2022] [Indexed: 06/18/2023]
Abstract
Due to the influence of complex regional climate, water quality perturbation factors of lakes in cold regions are complicated, and the uncertainty of each factor needs further study. This study coupled two algorithms (clustering and EM) to establish a water quality uncertainty model of Chagan Lake, a typical cold region lake in China. A BN model containing nine influencing factors (including water temperature (WT), total phosphorus (TP), total nitrogen (TN), etc.) was established and optimized, and sensitivity analysis was also performed. The results indicate that the water quality status of the lake is class III and 27.47% risk of exceeding the standard. The water quality of the lake is more susceptible to disturbance during the freezing period (WT < 1 °C). TP is the most sensitive factor for water quality disturbance in the lake followed by chemical oxygen demand (COD), TN, and fluoride (F). Parameter control result displays, and the multifactor synergistic control scheme could reduce the water quality risk of the lake by 36.47%. This study demonstrates that our proposed method can be used to predict both sudden water quality events and the overall trend of water quality fluctuation, which is important for rapid water quality evaluation and management decisions.
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Affiliation(s)
- Fan Wang
- Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Jilin University, Changchun, 130021, People's Republic of China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, People's Republic of China
| | - Jianmin Bian
- Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Jilin University, Changchun, 130021, People's Republic of China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, People's Republic of China
| | - Guochen Zheng
- Hebei Institute of Environmental Engineering, Qinhuangdao, 066102, China
| | - Murong Li
- Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Jilin University, Changchun, 130021, People's Republic of China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, People's Republic of China
| | - Xiaoqing Sun
- Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Jilin University, Changchun, 130021, People's Republic of China.
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, People's Republic of China.
| | - Chunpeng Zhang
- Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Jilin University, Changchun, 130021, People's Republic of China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, People's Republic of China
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4
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Xu P, Bian J, Li Y, Wu J, Sun X, Wang Y. Characteristics of fluoride migration and enrichment in groundwater under the influence of natural background and anthropogenic activities. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 314:120208. [PMID: 36162561 DOI: 10.1016/j.envpol.2022.120208] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 09/11/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
Excessive enrichment of fluoride threatens ecological stability and human health. The high-fluoride groundwater in the Chagan Lake area has existed for a long time. With the land consolidation and irrigation area construction, the distribution and migration process of fluoride have changed. It is urgent to explore the evolution of fluoride under the dual effects of nature and human. Based on 107 groundwater samples collected in different land use periods, hydrogeochemistry and isotope methods were combined to explore the evolution characteristics and hydrogeochemical processes of fluoride in typical high-fluoride background area and elucidate the impact of anthropogenic activities on fluoride migration. The results indicate that large areas of paddy fields are developed from saline-alkali land, and its area has increased by nearly 30%. The proportion of high-fluoride groundwater (>2 mg/L) has increased by nearly 10%, mainly distributed in the new irrigation area. Hydrogeochemical processes such as dissolution of fluorine-containing minerals, precipitation of carbonate minerals and exchange of Na+, Ca2+ on the water-soil interface control the enrichment of fluoride. The groundwater d-excess has no obvious change with the increase of TDS, and human activities are one of the reasons for the increase of fluoride. The concentration of fluoride is diluted due to years of diversion irrigation in old irrigation area, whereas the enrichment of δ2H, δ18O and Cl- in new irrigation area indicates that the vertical infiltration of washing alkali and irrigation water brought fluoride and other salts to groundwater. Fertilizer and wastewater discharges also contribute to the accumulation of fluoride, manifesting as co-increasing nitrate and chloride salts. The results of this study provide a new insight into fluoride migration under anthropogenic disturbance in high-fluoride background areas.
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Affiliation(s)
- Peng Xu
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Jianmin Bian
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China.
| | - Yihan Li
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Juanjuan Wu
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Xiaoqing Sun
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Yu Wang
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
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Asare EA, Assim Z, Wahi R, Bakeh T, Dapaah SS. Trend analysis of anthropogenic activities affecting trace metals deposition in core sediments from the coastal and four rivers estuary of Sarawak, Malaysia. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:16294-16310. [PMID: 34647212 DOI: 10.1007/s11356-021-17008-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 10/08/2021] [Indexed: 06/13/2023]
Abstract
This study reports the concentrations of trace metals in core sediments profile from the coastal and four rivers estuary in the Kuching Division of Sarawak, Malaysia, and the controlling mechanisms influencing their availability in sediments of the studied area. The bonding of trace metals with non-mobile fractions was confirmed with the sequential extraction. Inductively coupled plasma-optical emission spectroscopy (ICP-OES) was used to measure the concentrations of the trace metals. Granulometric analyses were performed using normalized sieve apertures to determine the textural characteristics of the sediments. Enrichment factor was used to evaluate the level of metal enrichment. Heavy metals concentrations in sediment samples varied in the range: Pb (8.9-188.9 mg/kg d.w.), Zn (19.4-431.8 mg/kg d.w.), Cd (0.014-0.061 mg/kg d.w.), Ni (6.6-33.4 mg/kg d.w.), Mn (2.4-16.8 mg/kg d.w.), Cu (9.4-133.3 mg/kg d.w.), Ba (1.3-9.9 mg/kg d.w.), As (0.4-7.9 mg/kg d.w.), Co (0.9-5.1 mg/kg d.w.), Cr (1.4-7.8 mg/kg d.w.), Mg (68.8-499.3 mg/kg d.w.), Ca (11.3-64.9 mg/kg d.w.), Al (24.7-141.7 mg/kg d.w.), Na (8.8-29.4 mg/kg d.w.), and Fe (12,011-35,124.6 mg/kg d.w.). The estimated results of the enrichment factor suggested enrichments of Pb, Zn, and Cu in all the core sediment samples and depths at all sites. The other trace metals showed no enrichments in almost all the sampled stations. Continuous accumulation of Pb, Zn, and Cu metals over a period can be detrimental to living organisms and the ecology. The results obtained from the statistical analyses suggested that the deposition of trace metals in the studied sites is due to anthropogenic inputs from the adjacent land-based sources.
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Affiliation(s)
- Ebenezer Aquisman Asare
- Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, 94300, Kota Samarahan, Sarawak, Malaysia.
- Department of Nuclear Science and Applications, Graduate School of Nuclear and Allied Sciences, University of Ghana, AE1, Kwabenya-Accra, Ghana.
| | - Zaini Assim
- Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, 94300, Kota Samarahan, Sarawak, Malaysia
| | - Rafeah Wahi
- Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, 94300, Kota Samarahan, Sarawak, Malaysia
| | - Tomy Bakeh
- Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, 94300, Kota Samarahan, Sarawak, Malaysia
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Yin K, Wang D, Zhao H, Wang Y, Guo M, Liu Y, Li B, Xing M. Microplastics pollution and risk assessment in water bodies of two nature reserves in Jilin Province: Correlation analysis with the degree of human activity. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 799:149390. [PMID: 34358746 DOI: 10.1016/j.scitotenv.2021.149390] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 07/08/2021] [Accepted: 07/28/2021] [Indexed: 06/13/2023]
Abstract
As a new type of environmental pollutant, microplastics (MPs) are widely present in freshwater systems. The ecological risks of MPs pollution in nature reserves and the correlation between human activities and the abundance of MPs are still unclear. This is the first survey of MPs in freshwater systems in Northeast China. The content and composition of MPs in 19 water samples were investigated in Chagan lake and Xianghai. The abundance of MPs samples in Chagan Lake averages 3.61 ± 2.23 particles/L, and in Xianghai averages 0.29 ± 0.11 particles/L. The main types of MPs in Chagan Lake are PA (23.7%) and PS (53.2%); while in Xianghai are PP (56%) and PS (32.7%). Foam, white and <1 mm are the main shapes, colors and sizes of Chagan Lake MPs, while of Xianghai are film, transparent and <1 mm. This may be related to the well-developed tourism and fishing industry (foam and fishing line) in Chagan Lake and aquaculture in Xianghai (foam and plastic film). The hazard index (HI) indicated a Hazard Level III for MPs pollution in Chagan Lake and Xianghai. Pollution load index (PLI) and potential ecological risk index (RI) indicate that the pollution risk of MPs polymers in the two places is relatively small. The degree of human activity is quantified to analyze the correlation of MPs abundance. The quantified scores are positively correlated with the abundance of MPs at different sampling points (Chagan lake: P < 0.05, 95% Cl; Xianghai: P < 0.05, 95% Cl).
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Affiliation(s)
- Kai Yin
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, Heilongjiang, PR China
| | - Dongxu Wang
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, Heilongjiang, PR China
| | - Hongjing Zhao
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, Heilongjiang, PR China
| | - Yu Wang
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, Heilongjiang, PR China
| | - Menghao Guo
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, Heilongjiang, PR China
| | - Yachen Liu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, Heilongjiang, PR China
| | - Baoying Li
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, Heilongjiang, PR China
| | - Mingwei Xing
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, Heilongjiang, PR China.
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Lv J, Yuan R, Wang S. Water diversion induces more changes in bacterial and archaeal communities of river sediments than seasonality. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 293:112876. [PMID: 34098351 DOI: 10.1016/j.jenvman.2021.112876] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 05/01/2021] [Accepted: 05/21/2021] [Indexed: 06/12/2023]
Abstract
Previous studies have demonstrated that seasonal variation is often the most important factor affecting aquatic bacterial assemblages. Whether anthropogenic activities can dominate community dynamics remains unknown. Based on 16S rRNA high-throughput sequencing technology, this study revealed and compared the relative influence of water diversions and seasonality on bacterial and archaeal communities in river sediments from a region with obvious seasonality. The results indicate that the influence of water diversion on bacteria and archaea in water-receiving river sediments exceeded the influence of seasonal variation. Water diversion affected microbes by increasing EC, salinity, water flow rate, and organic matter carbon and nitrogen contents. Seasonal variations affected microbes by altering water temperature. Diversion responders but no season responders were classified by statistical methods in the microbial community. Diversion responder numbers were related to nitrogen concentrations, complex organic carbon contents and EC values, which were mainly affected by water diversion. With the joint impact of water diversion and seasonality, the correlations of bacterial and archaeal numbers with environmental factors were obviously weakened due to the increases in the ecological niche breadths of microorganisms. Natural seasonal changes in bacterial and archaeal communities were totally altered by changes in salinity, nutrients, and hydrological conditions induced by anthropogenic water diversions. These results highlight that human activity may be a stronger driver than natural seasonality in the alteration of bacterial and archaeal communities.
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Affiliation(s)
- Jiali Lv
- College of Environmental and Resource Sciences, Shanxi University, Taiyuan, 030006, China; Shanxi Laboratory for Yellow River, Taiyuan, 030006, China; Key Laboratory of Agricultural Water Resources Research, Innovation Academy for Seed Design, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050021, China; Sino-Danish College of University of Chinese Academy of Sciences, Beijing, 101408, China; Sino-Danish Centre for Education and Research, Beijing, 101408, China
| | - Ruiqiang Yuan
- College of Environmental and Resource Sciences, Shanxi University, Taiyuan, 030006, China; Shanxi Laboratory for Yellow River, Taiyuan, 030006, China.
| | - Shiqin Wang
- Key Laboratory of Agricultural Water Resources Research, Innovation Academy for Seed Design, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050021, China
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Xu P, Bian J, Wu J, Li Y, Li J, Zeng X, Lin Z. Simulation study on the migration of F - in soil around Chagan Lake, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:45155-45167. [PMID: 33864210 DOI: 10.1007/s11356-021-13635-w] [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: 12/03/2020] [Accepted: 03/22/2021] [Indexed: 06/12/2023]
Abstract
Chagan Lake is located in the high-fluorine area of western Jilin, with high fluoride content in surface water, soil, and groundwater around it. Due to its unique topography and hydrogeological conditions, Chagan Lake collects surrounding water and is closely connected with groundwater. The complex surrounding water not only affects the groundwater quality through Chagan Lake, but also affects groundwater through the infiltration of vadose zone. In order to further study the characteristics of the migration of F- in the soil around Chagan Lake along with water flow in the vadose zone and its impact on groundwater, soil column experiments were carried out using soil collected in the field, combined with HYDRUS-1D to simulate the migration characteristics of F-. The model was verified by measured data, the sensitivity of each parameter was analyzed by the single-factor disturbance method, and the effect of F- on groundwater was simulated and predicted. The results showed that (1) the soil column experiment was carried out using transport solutions of different pH value. The time required for F- to penetrate the soil column under alkaline conditions was shorter, and the HYDRUS model used has a high degree of fitting. (2) The single-factor disturbance method is used to analyze the sensitivity of the parameters. The parameters that have a greater impact on the migration of fluoride ions in the soil are saturated hydraulic conductivity, adsorption coefficient, and soil bulk density. (3) In the prediction scenario, due to the adsorption and interception of the vadose zone, as the depth increases, the time it takes for F- to accumulate is also longer. The groundwater around Chagan Lake is relatively shallow, and surface F- in alkaline environment reaches the underground aquifer within 2 days. The F- concentration in the groundwater reaches its maximum before the end of the irrigation period. In neutral environment, the F- concentration in groundwater did not reach the maximum before the end of the irrigation period.
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Affiliation(s)
- Peng Xu
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
- College of New Energy and Environment, Jilin University, Changchun, 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Jianmin Bian
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China.
- College of New Energy and Environment, Jilin University, Changchun, 130021, China.
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China.
| | - Juanjuan Wu
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
- College of New Energy and Environment, Jilin University, Changchun, 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Yihan Li
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
- College of New Energy and Environment, Jilin University, Changchun, 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Jialin Li
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
- College of New Energy and Environment, Jilin University, Changchun, 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Xia Zeng
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
- College of New Energy and Environment, Jilin University, Changchun, 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Zuo Lin
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
- College of New Energy and Environment, Jilin University, Changchun, 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China
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9
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Ecological Risk Assessment and Contamination History of Heavy Metals in the Sediments of Chagan Lake, Northeast China. WATER 2021. [DOI: 10.3390/w13070894] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The study deals with the spatio-temporal distribution of heavy metals in the sediments of Chagan lake, Northeast China. The pollution history of heavy metals is studied simultaneously through the 210Pb dating method by analyzing the characteristic of As, Hg, Cd, Cr, Ni, Cu, Pb, and Zn concentration-depth profiles. The potential ecological risk index (RI) and geo-accumulation index (Igeo) were used to evaluate the contamination degree. Principal component analysis (PCA), based on the logarithmic transformation and isometric log-ratio (ilr) transformed data, was applied with the aim of identifying the sources of heavy metals. The element concentrations show that the heavy metals are enriched in the surface sediment and sediment core with a varying degree, which is higher in the surficial residue. The results of Igeo indicate that the Cd and Hg in the surface sediment have reached a slightly contaminated level while other elements, uncontaminated. The results of RI show that the study area can be classified as an area with moderate ecological risk in which Cd and Hg mostly contribute to the overall risk. For the sediment core, the 210Pb dating results accurately reflect the sedimentary history over 153 years. From two evaluation indices (RI and Igeo) calculated by element concentration, there is no contamination, and the potential ecological risk is low during this period. The comparative study between raw and ilr transformed data shows that the closure effect of the raw data can be eliminated by ilr transformation. After that, the components obtained by robust principal component analysis (RPCA) are more representative than those obtained by PCA, both based on ilr transformed dataset, after eliminating the influence of outliers. Based on ilr transformed data with RPCA, three primary sources could be inferred: Cr, Ni, As, Zn, and Cu are mainly derived from natural sources; the main source of Cd and Hg are associated with agricultural activities and energy development; as for Pb, it originated from traffic and coal-burning activities, which is consistent with the fact that the development of tourism, fishery, and agriculture industries has led to the continuous increasing levels of anthropogenic Pb in Chagan Lake. The summarized results and conclusions will undoubtedly enhance the governmental awareness of heavy metal pollution and facilitate appropriate pollution control measures in Chagan Lake.
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Study on Environmental Factors of Fluorine in Chagan Lake Catchment, Northeast China. WATER 2021. [DOI: 10.3390/w13050629] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The Chagan Lake Catchment is located in the midwest of Songnen Plain, which is a typical high fluoride groundwater area. High fluoride water has an important impact on the economic development and ecosystem stability of Chagan Lake. In this study, the spatial distribution characteristics and influencing factors of fluorine in Chagan Lake Catchment are discussed by using hydrochemistry and mathematical statistical analysis. The groundwater in the study area was characterized as Na+-rich and Ca2+-poor, with a high pH value and high HCO3– content. The average concentration of F– was 3.02 mg/L, which was the highest in Qian’an County. The dissolution of fluorine-containing minerals and the desorption of F– in soil provided the source of F– in groundwater, while calcite and dolomite precipitation, cation exchange, and evaporation concentration provided favorable conditions for F– dissolving, migration, and enrichment in water. In addition, the concentration of F– in surface water was 4.56 mg/L, and the highest concentration was found in Hongzi Pool and Hua’ao Pool. The elevated concentrations of F– in both surface water and groundwater in the study were affected by human factors, such as rice planting and water conservancy project construction.
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Zhuo Y, Zeng W. Using stable nitrogen isotopes to reproduce the process of the impact of human activities on the lakes in the Yunnan Guizhou Plateau in the past 150-200 years. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 741:140191. [PMID: 32615422 DOI: 10.1016/j.scitotenv.2020.140191] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 05/27/2020] [Accepted: 06/11/2020] [Indexed: 06/11/2023]
Abstract
Nitrogen deposition in lake sediment is an important factor reflecting the evolution of lake environments. Over the past 150-200 years, lakes in China have been affected by natural factors and anthropogenic factors, and nitrogen deposition has increased. As a result, it is critical to reconstruct the spatiotemporal variation trend of nitrogen deposition and analyse the nitrogen source and driving factors. On a regional scale, based on the sediment TN, δ15N and C: N ratio variation trends, this study analysed the buried nitrogen variation trend in Yunnan-Guizhou Plateau lakes over the past 150-200 years. The effects of lake morphology on nitrogen deposition were also analysed by using natural lake parameters. At the watershed scale, the δ15N isotope in the sediment was used to distinguish the sediment sources. On this basis, this study analysed the relationship between nitrogen deposition in nine lakes and the socioeconomic conditions during 1949-2010. The results show that (1) during the last 150-200 years, the TN, δ15N and the C: N ratio in the sediments increased. (2) Lake depth and area are the main natural factors affecting the extent of nitrogen deposition. (3) Before 1950, the nitrogen in the lake sediments in the region was sourced mainly from natural sources such as precipitation, woodland, grassland and aquatic plants. After 1950, man-made sources such as sewage and farmland became the main sources of nitrogen. (4) Human social and economic activities have an increasingly significant influence on the lake water environment in the Yunnan-Guizhou Plateau and are also the main factors leading to the deterioration of the aquatic environment.
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Affiliation(s)
- Yue Zhuo
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Weihua Zeng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China.
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Nawrot N, Wojciechowska E, Matej-Łukowicz K, Walkusz-Miotk J, Pazdro K. Spatial and vertical distribution analysis of heavy metals in urban retention tanks sediments: a case study of Strzyza Stream. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2020; 42:1469-1485. [PMID: 31598821 PMCID: PMC7261270 DOI: 10.1007/s10653-019-00439-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 09/25/2019] [Indexed: 06/10/2023]
Abstract
Concentrations of seven heavy metals (HMs): Zn, Cu, Pb, Cd, Ni, Cr, and Fe in core samples of bottom sediments from four retention tanks (RTs) located along the Strzyza Stream in northern Poland (Gdansk) were measured to obtain a general view of sediment quality. The recognition of contamination and potential environmental impacts is the main aim of this paper. A total of 96 sediment samples were collected from eight sampling sites at depths of 0-2 cm, 8-10 cm, 16-18 cm, 24-26 cm. Concentrations of Cu, Zn, Pb, Fe, Ni, and Cr were measured with AAS while Cd concentration was measured with ICP-MS. Granulometric analyses with normalized sieve apertures were carried out. Geochemical indices: enrichment factor, anthropogenic factor, and modified degree of contamination (mCd) were used to assess the contamination level. Concentrations of HMs in sediments changed in the range: Cu (3.24-119 mg/kg d.w.), Zn (12.5-584 mg/kg d.w.), Pb (4.91-309 mg/kg d.w.), Cd (0.003-0.716 mg/kg d.w.), Ni (1.57-25.8 mg/kg d.w.), Cr (2.45-74.5 mg/kg d.w.), and Fe (3993-63817 mg/kg d.w.). The sequential extraction verified the bonding of HMs with non-mobile fractions. Geochemical indices showed widespread pollution by Cu, Pb, Cd, and Zn. Cluster and factor analysis distinguished three related subgroups of HMs: Pb, Ni-Cr, and Fe-Cd-Cu-Zn, suggesting possible common source of each subgroup. Strongly contaminated sediments were distinguished in sediment cores in two middle stream RTs characterized by intense urbanization in their direct catchments.
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Affiliation(s)
- N Nawrot
- Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Narutowicza 11/12, 80-233, Gdańsk, Poland.
| | - E Wojciechowska
- Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Narutowicza 11/12, 80-233, Gdańsk, Poland
| | - K Matej-Łukowicz
- Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Narutowicza 11/12, 80-233, Gdańsk, Poland
| | - J Walkusz-Miotk
- Marine Geotoxicology Laboratory, Institute of Oceanology of the Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland
| | - K Pazdro
- Marine Geotoxicology Laboratory, Institute of Oceanology of the Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland
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Mao G, Liu J, Han F, Meng Y, Tian Y, Zheng Y, Zheng C. Assessing the interlinkage of green and blue water in an arid catchment in Northwest China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2020; 42:933-953. [PMID: 31494783 PMCID: PMC7188737 DOI: 10.1007/s10653-019-00406-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Accepted: 08/21/2019] [Indexed: 06/10/2023]
Abstract
Water resource assessment is crucial for human well-being and ecosystem health. Assessments considering both blue and green water are of great significance, as green water plays a critical but often ignored role in the terrestrial ecosystem, especially in arid and semi-arid regions. Many approaches have been developed for green and blue water valuation; however, few approaches consider the interrelationship between green and blue water. This study proposed a new framework for green and blue water assessment by considering the interactions between green and blue water and the connections between human and natural ecosystems in an arid endorheic river basin where hydrological cycling is dramatically altered by human activities. The results show that even though green water is the dominant water resource, blue water is also critical. Most of the blue water is redirected back into the soil through physical and human-induced processes to meet the water demand of the ecosystem. The blue and green water regimes are found to be totally different in different ecosystems due to the temporal and spatial variability in water supply and consumption. We also found that humans are using an increasing proportion of water, resulting in decreasing water availability. Extensive water use by humans reduces the water availability for the natural ecosystem. Approximately 38.6% of the vegetation-covered area, which is dominated by farmland and forest, may face a moderate or high risk of increased conflict and tension over freshwater. This study provides crucial information to better understand the interactions between green and blue water and the relations between humans and nature by explicitly assessing water resources. It also provides crucial information for water management strategies that aim to balance humankind and nature.
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Affiliation(s)
- Ganquan Mao
- School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, China
- School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072, China
| | - Junguo Liu
- School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, China.
| | - Feng Han
- School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, China
| | - Ying Meng
- School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, China
| | - Yong Tian
- School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, China
| | - Yi Zheng
- School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, China
| | - Chunmiao Zheng
- School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, China
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Human Activities and Climate Variability Affecting Inland Water Surface Area in a High Latitude River Basin. WATER 2020. [DOI: 10.3390/w12020382] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Spatiotemporal changes in the surface area of inland water bodies have important implications in regional water resources, flood control, and drought hazard prediction. Although inland water bodies have been investigated intensively, few studies have looked at the effect of human activities and climate variability on surface area of inland waters at a larger scale over time and space. In this study, we used MODIS (MOD13Q1) images to determine water surface area extent at 250 m spatial resolution. We then applied this algorithm with MOD13Q1 images taken at 16-day intervals from 2000 to 2018 to a large river basin in China’s northeast high latitude region with dense stream network and abundant wetlands to investigate spatiotemporal distribution and dynamics of inland water bodies. The study identified 209 ponds, lakes, and reservoirs with an average total surface area of 2080 km2 in the past 19 years. The total water surface area fluctuated largely from 942 km2 to 5169 km2, corresponding to rainfall intensity and flood. We found that the total water surface area in this high latitude river basin showed an increasing trend during the study period, while the annual precipitation amount in the river basin also had an increasing trend concurrently. Precipitation and irrigation significantly contributed to the monthly change of water surface area, which reached the highest during June and August. The increase of water surface area was significant in the lower basin floodplain region, where agricultural irrigation using groundwater for rice production has progressed. Four nationally important wetland preserves (Zhalong, Xianghai, Momoge, and Chagan Lake) in the river basin made up nearly 50% of the basin’s total water surface area, of which Zhalong, Xianghai, and Momoge are designated by The Ramsar Convention as wetland sites of international importance. Seasonally, these water bodies reached their maximal surface area in August, when both the monsoon weather and agricultural discharge prevailed. This study demonstrates that water surface area in a high latitude river basin is affected by both human activities and climate variation, implying that high latitude regions will likely experience more changes in surface water distribution as global climate change continues and agriculture becomes intensified.
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Lu Y, Xu J, Wang H, Liu X, Li W. Distribution, sources and health risk assessment of contaminations in water of urban park: A case study in Northeast China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2019; 41:2473-2489. [PMID: 31037580 DOI: 10.1007/s10653-019-00293-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 04/10/2019] [Indexed: 06/09/2023]
Abstract
This case study was performed to determine whether the pollutants in water of urban park could bring health risk to human engaging in water-related activities such as swimming and provide evidence demonstrating the critical need for strengthened recreational water resources management of urban park. TN, NH4+-N, TP, Cu, Mn, Zn, Se, Pb, As, Cd and Cr(VI) contents were determined to describe the spatial distribution of contaminations; sources apportionment with the method of correlation analysis, factor analysis and cluster analysis were followed by health risk assessment for swimmers of different age groups. The results reveal that element contents in all sites do not exceed Chinese standard for swimming area and European Commission standard for surface water; all detected elements except Cr(VI) have a tendency to accumulate in the location of lake crossing bridge; Mn and Zn are considered to have the same pollution source including geogenic and anthropogenic sources by multivariable analysis. Carcinogenic risks of different age groups descend in the same order with non-carcinogenic risks. Among all elements, Zn and Mn contribute the lowest non-carcinogenic risk (5.1940E-06) and the highest non-carcinogenic risk (7.9921E-04) through skin contact pathway, respectively. The total average personal risk for swimmers in swimming area is 1.9693E-03, and this site is not suitable for swimming. Overall, it is possible that swimmers are exposed to risk via the dermal route when carrying out water-related activities, it is recommended that necessary precautions and management should be taken in other similar locations around the world.
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Affiliation(s)
- Yue Lu
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Changchun, 130117, China
- School of Environment, Northeast Normal University, Changchun, 130117, China
- Jilin Provincial Key Laboratory of Ecological Restoration and Ecosystem, Changchun, 130117, China
- Jilin Provincial Science and Technology Innovation Center of Wetland Restoration and Function Development, Changchun, 130117, China
| | - Jianling Xu
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Changchun, 130117, China.
- School of Environment, Northeast Normal University, Changchun, 130117, China.
- Jilin Provincial Key Laboratory of Ecological Restoration and Ecosystem, Changchun, 130117, China.
- Jilin Provincial Science and Technology Innovation Center of Wetland Restoration and Function Development, Changchun, 130117, China.
| | - Hanxi Wang
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Changchun, 130117, China
- School of Environment, Northeast Normal University, Changchun, 130117, China
- Jilin Provincial Key Laboratory of Ecological Restoration and Ecosystem, Changchun, 130117, China
- Jilin Provincial Science and Technology Innovation Center of Wetland Restoration and Function Development, Changchun, 130117, China
| | - Xuejun Liu
- Jilin Province Academy of Education and Science, Changchun, 130022, China
| | - Wei Li
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Changchun, 130117, China
- School of Environment, Northeast Normal University, Changchun, 130117, China
- Jilin Provincial Key Laboratory of Ecological Restoration and Ecosystem, Changchun, 130117, China
- Jilin Provincial Science and Technology Innovation Center of Wetland Restoration and Function Development, Changchun, 130117, China
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