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Assessing river water quality using water quality index in Lake Taihu Basin, China
Abstract
Lake Taihu Basin, one of the most developed regions in China, has received considerable attention due to its severe pollution. Our study provides a clear understanding of the water quality in the rivers of Lake Taihu Basin based on basin-scale monitoring and a water quality index (WQI) method. From September 2014 to January 2016, four samplings across four seasons were conducted at 96 sites along main rivers. Fifteen parameters, including water temperature, pH, dissolved oxygen (DO), conductivity, turbidity (tur), permanganate index (COD Mn ), total nitrogen, total phosphorus, ammonium (NH 4 -N), nitrite, nitrate (NO 3 -N), calcium, magnesium, chloride, and sulfate, were measured to calculate the WQI. The average WQI value during our study period was 59.33; consequently, the water quality was considered as generally "moderate". Significant differences in WQI values were detected among the 6 river systems, with better water quality in the Tiaoxi and Nanhe systems. The water quality presented distinct seasonal variation, with the highest WQI values in autumn, followed by spring and summer, and the lowest values in winter. The minimum WQI (WQI min ), which was developed based on a stepwise linear regression analysis, consisted of five parameters: NH 4 -N, COD Mn , NO 3 -N, DO, and tur. The model exhibited excellent performance in representing the water quality in Lake Taihu Basin, especially when weights were fully considered. Our results are beneficial for water quality managem…
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“can be associated with inorganic components discharged from domestic and industrial activities as well as several point and nonpoint sources [61].”
From Multivariate analysis of water quality in the Dhaleshwari River, Bangladesh: identifying pollution sources and environmental implications (2024) · cites this paper as [61]
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Metadata
- Authors
- Wu, Z., Wang, X., Chen, Y., Cai, Y., & Deng, J.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 612
- Pages
- 914-922
- ISSN
- 0048-9697
- Cited by
- 569
- References
- 1
- Language
- en
- Funders
- Major Science and Technology Program for Water Pollution Control and Treatment (2014ZX07101-011)
- Basic Work of Science and Technology (2013FY111802)
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