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Wang H, Wang J, Ni J, Cui Y, Yan S. Spatial scale effects of integrated landscape indicators on river water quality in Chaohu Lake basin, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:100892-100906. [PMID: 37644263 DOI: 10.1007/s11356-023-29482-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 08/20/2023] [Indexed: 08/31/2023]
Abstract
Climate change and rapid urbanization have changed the characteristics of basin landscapes. Non-point-source (NPS) pollution affects river water quality. Exploring the impact of landscapes on river water quality is crucial for the control of water pollution in a basin. Current researchers focus on the impact of landscape pattern change on NPS pollution in the basin, but few consider climate, terrain, soil, and other geographical factors. In this study, we selected a subtropical agricultural basin in China named Chaohu Lake basin as the study area, added precipitation, soil erosion resistance, and slope to the original landscape pattern indicators. We quantified the spatial scale effect and seasonal dependence of integrated landscape indicators on water quality and comprehensively analyzed the optimal spatial scale and key landscape indicators. According to the nonlinear relationship between the key landscape indicators and river nutrients, we also determined the Type-1 threshold values of key landscape indicators for water quality protection in the basin. The results showed that the rivers in Chaohu Lake basin were mainly polluted by nitrogen and phosphorus. The strength of interpretation of the integrated landscape indicators of river water quality increased with riparian zone width. We determined the subbasin scale to be the optimal spatial scale. The key landscape indicators affecting water quality in the wet season at the optimal scale were precipitation and aggregation index of construction land (AIbul), whereas those in the dry season were AIbul and COHESION. The interpretation of the key landscape indicators in the wet season was slightly higher than that in the dry season. The above conclusions provide a scientific reference for NPS pollution control and water quality protection in subtropical agricultural basins.
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Affiliation(s)
- Huanbin Wang
- College of Resources and Environmental Engineering, Anhui University, Hefei, 230601, China
| | - Jie Wang
- College of Resources and Environmental Engineering, Anhui University, Hefei, 230601, China.
- Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei, 230601, China.
- Engineering Center for Geographic Information of Anhui Province, Anhui University, Hefei, 230601, China.
| | - Jianhua Ni
- College of Resources and Environmental Engineering, Anhui University, Hefei, 230601, China
- Engineering Center for Geographic Information of Anhui Province, Anhui University, Hefei, 230601, China
| | - Yuhuan Cui
- College of Science, Anhui Agricultural University, Hefei, 230036, China
| | - Shijiang Yan
- College of Resources and Environmental Engineering, Anhui University, Hefei, 230601, China
- Engineering Center for Geographic Information of Anhui Province, Anhui University, Hefei, 230601, China
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Leng M, Feng L, Wu X, Ge X, Lin X, Song S, Xu R, Sun Z. Assessment of Water Eutrophication at Bao'an Lake in the Middle Reaches of the Yangtze River Based on Multiple Methods. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4615. [PMID: 36901625 PMCID: PMC10002378 DOI: 10.3390/ijerph20054615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/02/2023] [Accepted: 03/03/2023] [Indexed: 06/18/2023]
Abstract
Based on the monthly monitoring of Bao'an Lake in Hubei Province from 2018 to 2020, the eutrophication level of Bao'an Lake in the middle reaches of the Yangtze River is investigated using the comprehensive trophic level index (TLI), chromophoric dissolved organic matter (CDOM) absorption coefficient, and the phytoplankton water quality biological method. The influencing factors are then identified. The results demonstrate that the overall water quality of Bao'an Lake remained at levels III-V during 2018-2020. Due to different eutrophication assessment methods, the results are different, but all show that Bao'an Lake is in a eutrophication state as a whole. The eutrophication level of Bao'an Lake is observed to vary with time, exhibiting an increasing then decreasing trend between 2018-2020, while levels are high in summer and autumn, and low in winter and spring. Moreover, the eutrophication level of Bao'an Lake presents an obviously varying spatial distribution. Potamogeton crispus is the dominant species of the Bao'an Lake, the water quality is good in spring when Potamogeton crispus vigorously grows, but poor in summer and autumn. The permanganate index (CODMn) and total phosphorous (TP), total nitrogen (TN), and chlorophyll a (Chl-a) contents are identified as the main influencing factors of the eutrophication level of Bao'an Lake, with a significant relationship observed between Chl-a and TP (p < 0.01). The above results provide a solid theoretical basis for the ecological restoration of Bao'an Lake.
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Affiliation(s)
- Mingkai Leng
- College of Urban and Environmental Sciences, Hubei Normal University, Huangshi 435002, China
| | - Lian Feng
- College of Urban and Environmental Sciences, Hubei Normal University, Huangshi 435002, China
| | - Xiaodong Wu
- College of Urban and Environmental Sciences, Hubei Normal University, Huangshi 435002, China
- Hubei Key Laboratory of Pollutant Analysis & Reuse Technology, Hubei Normal University, Huangshi 435002, China
| | - Xuguang Ge
- College of Urban and Environmental Sciences, Hubei Normal University, Huangshi 435002, China
| | - Xiaowen Lin
- College of Urban and Environmental Sciences, Hubei Normal University, Huangshi 435002, China
| | - Shixing Song
- College of Urban and Environmental Sciences, Hubei Normal University, Huangshi 435002, China
| | - Rui Xu
- College of Urban and Environmental Sciences, Hubei Normal University, Huangshi 435002, China
| | - Zhenhua Sun
- College of Urban and Environmental Sciences, Hubei Normal University, Huangshi 435002, China
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