Climate change and human activities have great impacts on runoff. With the gradual development of cascade hydropower in the watershed, the reservoirs have increasingly impacted runoff. However, the current study mainly focuses on quantifying the impacts of human activities and climate change on runoff, lacking the exploration of the impacts of cascade reservoirs, and the attribution results are relatively rough. Therefore, this study utilized data-driven models to establish a runoff attribution framework with the basic steps of "interval runoff prediction and scheduling rule extraction", which achieved the spatial scale separation of the impacts of cascade and individual reservoirs on the runoff, and the analysis of the impacts of each factor at multiple time scales. Taking the upper reaches of the Yangtze River mainstem as an example, we verified the applicability and accuracy of the framework, explored the impacts of climate change, human activities (without reservoir scheduling), and reservoir scheduling on runoff during the period 1980-2018. The research found: (1) Compared to the base period 1980-2005, the average multi-year runoff changes at Pingshan Station (during 2013-2018), Yichang Station (during 2006-2012) and Yichang Station (during 2013-2018) were - 2.61 %, -4.33 % and - 0.89 %, respectively, with decreasing, increasing, and flattening trends over time. (2) Reservoir scheduling is the main factor leading to runoff change, showing negative impacts during flood season and positive impacts during non-flood season. (3) Under the control domain of single and cascade reservoirs, the annual scale impacts of climate change, human activities, and reservoir scheduling on runoff accounted for approximately 1:1:8 and 2:2:6, respectively, showing a complex nonlinear relationship between the impacts of single and cascade reservoirs on runoff. This study provides ideas for quantitatively assessing the impacts of cascade reservoirs on runoff and provide a basis for comprehensively assessing the ecosystem and socio-economic impacts of reservoirs on future runoff changes.
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http://dx.doi.org/10.1016/j.scitotenv.2024.172784 | DOI Listing |
Amyotroph Lateral Scler Frontotemporal Degener
January 2025
Stan Cassidy Centre for Rehabilitation, Fredericton, New Brunswick, Canada.
Objective: Previous studies have hinted at an association between water exposure and the development of ALS. However, proximity measures to these water sources have been limited to questionnaires or large buffers due to a lack of fine geospatial measures. They also do not distinguish the various classes of hydrographic features.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
LEESU, Ecole des Ponts Paris Tech, UPEC, AgroParisTech, F-77455 Marne-la-Vallée, Paris, France.
Urban reservoirs are frequently exposed to impacts from high population density, polluting activities, and the absence of environmental control measures and monitoring. In this study, we investigated the use of satellite imagery to assess restoration measures and support decision-making in a hypereutrophic urban reservoir. Since 2016, Lake Pampulha (Brazil) has undergone restoration measures, including the application of Phoslock®, to mitigate its poor water quality conditions.
View Article and Find Full Text PDFEnviron Pollut
January 2025
Department of Zoology, Faculty of Science, University of Peradeniya, Peradeniya 20400, Sri Lanka. Electronic address:
The microbial pollution status of river surface water is important to ensure a river-based quality drinking water supply for the public. The present study aimed to investigate bacterial contamination status in the upper Mahaweli River, the main drinking water supplier to the hill country of Sri Lanka. Both the raw surface water and treated water, taken at 14 drinking water treatment plants (DWTPs) along the river segment of 60 km between Kotmale and Victoria reservoirs, were tested for total bacterial counts (TBC), total coliform counts (TCC) and faecal coliform counts (FCC).
View Article and Find Full Text PDFSci Rep
December 2024
School of Civil Engineering, Chongqing Three Gorges University, Chongqing, 404100, China.
Runoff fluctuations under the influence of climate change and human activities present a significant challenge and valuable application in constructing high-accuracy runoff prediction models. This study aims to address this challenge by taking the Wanzhou station in the Three Gorges Reservoir area as a case study to optimize various prediction models. The study first selects artificial neural network (ANN) and support vector machine (SVM) as the base models.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Department of Civil and Environmental Engineering, Stanford University, Stanford, California 94305, United States.
California's Bay-Delta watershed encompasses 40% of the state's runoff and serves water supply and irrigation needs throughout the state. A recently amended policy attempts to rebalance water supply and ecological outcomes by requiring 40% of the flow to remain in-stream in the Tuolumne River and other tributaries between February 1 and June 30 each year. This policy impacts water supply diversions serving millions of customers in the San Francisco Bay Area.
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