水质
环境科学
营养物
富营养化
水文学(农业)
分水岭
点源污染
污染
营养状态指数
构造盆地
流域
非点源污染
水污染
生态学
地质学
地理
生物
古生物学
岩土工程
地图学
机器学习
计算机科学
作者
Shengyue Yu,Xinzhong Du,Qiuliang Lei,Xue Wang,Shengcai Wu,Hongbin Liu
标识
DOI:10.1016/j.scitotenv.2023.165776
摘要
Many studies have investigated water quality changes in freshwater lakes, however, studies examining long-term relationships between lake water quality and total nitrogen (TN) and total phosphorus (TP) load inputs and investigating the causes that indicate improvements in water quality are limited. In this study, we utilized the LOADEST model to estimate TN and TP load inputs, assessed lake trophic status using the integrated nutrient index method, and explored trends and relationships between nutrient load inputs and water quality in Wuliangsuhai Lake, a large shallow lake of Yellow River Basin in China. Additionally, we identified the causes for recent water quality improvements and proposed future management strategies to further improve the water quality. Our findings revealed that water quality in Wuliangsuhai Lake of Yellow River basin has been improved mainly due to the abatements of nutrient load inputs from the watershed. Between 2010 and 2020, TN and TP loads from the watershed decreased significantly by 65.12 % and 89.4 %, respectively. TN and TP concentrations also notably decreased across the lake areas, including the inlet (91.21 % and 95.59 %), central (73.49 % and 87.12 %), and outlet (40.68 % and 40.54 %) areas. Correlation analysis confirms a strong positive relationship between lake water quality and nutrient load inputs (excluding the outlet area), highlighting the impact of nutrient inputs on lake water quality. The results indicated that the recent water quality improvements in the lake was mainly because of effective control for point source pollution from industrial wastewater and domestic sewage and the non-point source pollution control holds the potential to further improve the water quality.
科研通智能强力驱动
Strongly Powered by AbleSci AI