[Objective] To study the characteristics and effects of inorganic nitrogen in east water-source and inflow rivers of Chaohu Lake. [Method] The speciation and distribution characteristics of dissolvable inorganic nitro...[Objective] To study the characteristics and effects of inorganic nitrogen in east water-source and inflow rivers of Chaohu Lake. [Method] The speciation and distribution characteristics of dissolvable inorganic nitrogen （DIN） in east water-source and inflow rivers of Chaohu Lake were investigated, and their effects on water qual- ity were examined. [Result] The concentrations of NH3-N and NO2--N were the high in flood season, and low in non-flood season, while the concentration of NO3--N pre- sented the opposite trend; the concentration of NO3--N was the highest in Shuangqiao estuary, where the pollution was the worst. DIN in Zhegao estuary and Xiaozhegao estuary was mainly caused by domestic sewage and industrial wastewaters; surface runoff and pollution from ships contribute the most to the DIN content in Shuangqiao estuary. [Conclusion] This study provided basic data and theoretical basis for the control and management of eutrophication in Chaohu Lake.展开更多
The pollutants from the 15 rivers inflowing into Lake Taihu accounted for about 80% of the total amount of the pollutants inflowing into Lake Taihu. Therefore, overall treatment of the inflowing rivers of Taihu Lake i...The pollutants from the 15 rivers inflowing into Lake Taihu accounted for about 80% of the total amount of the pollutants inflowing into Lake Taihu. Therefore, overall treatment of the inflowing rivers of Taihu Lake is of great importance to the improvement of water environment in the valley and the eutrophication status in th lake. Firstly, the basic ideas, key taches and main methods for water pollution control of inflow rivers of Taihu Lake was put forward in this article, Basic on these theories, the pollutant source status in the comprehensive treatment zone of the 15 major inflow rivers was analysized, the countermeasures of pollution control and main regulation projects were introduced, and the total abatement of pollutants was predicted. With the implement of regulation projects, the number of rivers with water quality worse than Grade V among the 15 major inflow rivers had come from 9 to 3, and the eutrophication status of Taihu Lake had changed from medium level to light level. The overall treatment of the major inflow rivers of the Taihu Lake had achieved initial success.展开更多
An extreme drought occurred in the Yangtze River Basin in 2022,inflicting huge impacts nationwide.To provide a reference for drought prevention and mitigation,this paper presents a comprehensive analysis of the drough...An extreme drought occurred in the Yangtze River Basin in 2022,inflicting huge impacts nationwide.To provide a reference for drought prevention and mitigation,this paper presents a comprehensive analysis of the drought in the Yangtze River Basin in terms of its characteristics,causes,impacts,and response strategies.It concludes that this extreme drought stood out by its long duration,wide impact range,and severe intensity,as a combined result of abnormal hightemperature weather and massive social water consumption.Serious impacts are observed in various fields of the economy,including agricultural irrigation,urban and rural water supply,power generation,and navigation.Finally,drought mitigation measures and effects are examined,and future drought response and mitigation strategies are proposed.展开更多
Lake ecosystems,vital freshwater resources,are increasingly threatened by pollution from riverine inputs,making the management of these loads critical for preventing ecological degradation.Predicting the combined effe...Lake ecosystems,vital freshwater resources,are increasingly threatened by pollution from riverine inputs,making the management of these loads critical for preventing ecological degradation.Predicting the combined effects of multiple rivers on lake water quality is a significant challenge;traditional mechanistic models are computationally intensive and data-dependent,while conventional machine learning methods often fail to capture the system's multifaceted nature.This complexity creates a critical need for an integrated predictive tool for effective environmental management.Here we show a multi-task deep neural network(MTDNN)that can accurately and simultaneously predict four key water quality indicators—permanganate index,total phosphorus,total nitrogen,and algal density—at multiple locations within a complex lake system using data from its inflowing rivers.Our model,applied to Dianchi Lake in China,improves predictive precision by up to 56.3%compared to established mechanistic and single-task deep learning models.Furthermore,the model pinpoints the specific contributions of each river and identifies water temperature and wastewater effluent as dominant,sitespecific drivers of pollution.Scenario-based forecasting demonstrates that using reclaimed water for lake replenishment is a viable strategy that does not cause deterioration.This MTDNN framework offers a powerful and transferable tool for data-driven lake management,enabling targeted interventions and sustainable water resource protection.展开更多
The agricultural and livestock activities surrounding the rivers flowing into the lakes have caused non-point source pollution, leading to excessive amounts of nutrient salts in downstream rivers. Introducing river wa...The agricultural and livestock activities surrounding the rivers flowing into the lakes have caused non-point source pollution, leading to excessive amounts of nutrient salts in downstream rivers. Introducing river water into constructed wetlands along river course has proven to be an effective solution for decreasing nitrogen(N) and phosphorus(P) loads. This paper reports 9 years of monitoring the Yong’an River and its surrounding constructed wetlands in the upper reaches of Erhai Lake, located in Yunnan Province, China. This study analyzed the main types of pollutants in the river, and evaluated the removal efficiency of pollutants by the constructed wetlands. The findings indicate that total nitrogen(TN) and nitrate nitrogen(NO_(3)^(–)-N) are the primary pollutants in the Yong’an River, which exhibit variation throughout the year corresponding to the alternating wet and dry seasons. Although constructed wetlands are effective in removing NO_(3)^(-)-N and P, their efficacy in removing ammonium nitrogen(NH_(4)^(+)-N)and organic pollutants is limited. This limitation can be attributed to the lack of timely disposal of aquatic plant residues. This research contributes to the understanding of the potential issues that may arise during the extended use of constructed wetlands and provides solutions to address them.展开更多
基金Supported by the Special Fund for the Control and Management of Chaohu Lake of the National Key Technology R&D Program,China(2008ZX07103-005)the Special Fund for the Control and Management of Huaihe River of the National Key Technology R&D Program,China(2008ZX07010-004)+1 种基金National Natural Science Foundation of China(40073030,40972092,41172121)the Natural Science Foundation of Anhui Province,China(090413083)~~
文摘[Objective] To study the characteristics and effects of inorganic nitrogen in east water-source and inflow rivers of Chaohu Lake. [Method] The speciation and distribution characteristics of dissolvable inorganic nitrogen （DIN） in east water-source and inflow rivers of Chaohu Lake were investigated, and their effects on water qual- ity were examined. [Result] The concentrations of NH3-N and NO2--N were the high in flood season, and low in non-flood season, while the concentration of NO3--N pre- sented the opposite trend; the concentration of NO3--N was the highest in Shuangqiao estuary, where the pollution was the worst. DIN in Zhegao estuary and Xiaozhegao estuary was mainly caused by domestic sewage and industrial wastewaters; surface runoff and pollution from ships contribute the most to the DIN content in Shuangqiao estuary. [Conclusion] This study provided basic data and theoretical basis for the control and management of eutrophication in Chaohu Lake.
文摘The pollutants from the 15 rivers inflowing into Lake Taihu accounted for about 80% of the total amount of the pollutants inflowing into Lake Taihu. Therefore, overall treatment of the inflowing rivers of Taihu Lake is of great importance to the improvement of water environment in the valley and the eutrophication status in th lake. Firstly, the basic ideas, key taches and main methods for water pollution control of inflow rivers of Taihu Lake was put forward in this article, Basic on these theories, the pollutant source status in the comprehensive treatment zone of the 15 major inflow rivers was analysized, the countermeasures of pollution control and main regulation projects were introduced, and the total abatement of pollutants was predicted. With the implement of regulation projects, the number of rivers with water quality worse than Grade V among the 15 major inflow rivers had come from 9 to 3, and the eutrophication status of Taihu Lake had changed from medium level to light level. The overall treatment of the major inflow rivers of the Taihu Lake had achieved initial success.
基金funded by the National Key R&D Program of China(2018YFE0206400,2021YFC3000202)the National Natural Science Foundation of China(National Natural Science Foundation of China Grant No.42001039)the China Institute of Water Resources and Hydropower Research,Research and Development Support Program(JZ110145B0052021,F0203982012).
文摘An extreme drought occurred in the Yangtze River Basin in 2022,inflicting huge impacts nationwide.To provide a reference for drought prevention and mitigation,this paper presents a comprehensive analysis of the drought in the Yangtze River Basin in terms of its characteristics,causes,impacts,and response strategies.It concludes that this extreme drought stood out by its long duration,wide impact range,and severe intensity,as a combined result of abnormal hightemperature weather and massive social water consumption.Serious impacts are observed in various fields of the economy,including agricultural irrigation,urban and rural water supply,power generation,and navigation.Finally,drought mitigation measures and effects are examined,and future drought response and mitigation strategies are proposed.
基金supported by the National Natural Science Foundation of China(No.52293442,52221004,52470043)。
文摘Lake ecosystems,vital freshwater resources,are increasingly threatened by pollution from riverine inputs,making the management of these loads critical for preventing ecological degradation.Predicting the combined effects of multiple rivers on lake water quality is a significant challenge;traditional mechanistic models are computationally intensive and data-dependent,while conventional machine learning methods often fail to capture the system's multifaceted nature.This complexity creates a critical need for an integrated predictive tool for effective environmental management.Here we show a multi-task deep neural network(MTDNN)that can accurately and simultaneously predict four key water quality indicators—permanganate index,total phosphorus,total nitrogen,and algal density—at multiple locations within a complex lake system using data from its inflowing rivers.Our model,applied to Dianchi Lake in China,improves predictive precision by up to 56.3%compared to established mechanistic and single-task deep learning models.Furthermore,the model pinpoints the specific contributions of each river and identifies water temperature and wastewater effluent as dominant,sitespecific drivers of pollution.Scenario-based forecasting demonstrates that using reclaimed water for lake replenishment is a viable strategy that does not cause deterioration.This MTDNN framework offers a powerful and transferable tool for data-driven lake management,enabling targeted interventions and sustainable water resource protection.
基金supported by National Key Research and Development Program of China(2021YFD1700400)Yunnan Fundamental Research Projects(202201AU070001)Startup Fund for Young Faculty at SJTU(22X010500256).
文摘The agricultural and livestock activities surrounding the rivers flowing into the lakes have caused non-point source pollution, leading to excessive amounts of nutrient salts in downstream rivers. Introducing river water into constructed wetlands along river course has proven to be an effective solution for decreasing nitrogen(N) and phosphorus(P) loads. This paper reports 9 years of monitoring the Yong’an River and its surrounding constructed wetlands in the upper reaches of Erhai Lake, located in Yunnan Province, China. This study analyzed the main types of pollutants in the river, and evaluated the removal efficiency of pollutants by the constructed wetlands. The findings indicate that total nitrogen(TN) and nitrate nitrogen(NO_(3)^(–)-N) are the primary pollutants in the Yong’an River, which exhibit variation throughout the year corresponding to the alternating wet and dry seasons. Although constructed wetlands are effective in removing NO_(3)^(-)-N and P, their efficacy in removing ammonium nitrogen(NH_(4)^(+)-N)and organic pollutants is limited. This limitation can be attributed to the lack of timely disposal of aquatic plant residues. This research contributes to the understanding of the potential issues that may arise during the extended use of constructed wetlands and provides solutions to address them.
