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| http://dx.doi.org/10.1073/pnas.1803987115 | DOI Listing |
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Spatiotemporal Variation Assessment and Improved Prediction Of Cyanobacteria Blooms in Lakes Using Improved Machine Learning Model Based on Multivariate Data.
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Key Laboratory of Integrated Regulation and Resources Development on Shallow Lakes of Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China.
Cyanobacterial blooms in shallow lakes pose a significant threat to aquatic ecosystems and public health worldwide, highlighting the urgent need for advanced predictive methodologies. As impounded lakes along the Eastern Route of the South-to-North Water Diversion Project, Lakes Hongze and Luoma play a key role in water resource management, making the prediction of cyanobacterial blooms in these lakes particularly important. To address this, satellite remote sensing data were utilized to analyze the spatiotemporal dynamics of cyanobacterial blooms in these lakes.
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71 Smith Ave., Bureau of Water Supply, New York City Department of Environmental Protection, Kingston, NY, 12401, USA.
The paired watershed monitoring approach is widely used to investigate hydrologic processes and water quality, providing streamflow and water quality records for long-term trend analysis, as well as data for developing and testing hydrologic models. In this study we use 20 years of streamflow and water quality data, along with a watershed model, to examine sources of stream nutrients and their changes over time in two small streams within the New York City water supply system. We compare sources and trends in stream nitrate and dissolved phosphorus in the urbanized Amawalk watershed with those of the predominantly forested Boyd Corners watershed in the Croton system of reservoirs.
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View Article and Find Full Text PDFNatural and anthropogenic factors controlling organic carbon storage in riverine wetlands along South Korea's four rivers.
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Division of Earth and Environmental System Sciences, Department of Oceanography, Pukyong National University, 45 Yongso-ro, Nam-gu, 48513, Busan, Republic of Korea.
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Gateway Antarctica, University of Canterbury, Christchurch, New Zealand.
The Tibetan Plateau is home to numerous glaciers that are important for freshwater supply and climate regulation. These glaciers, which are highly sensitive to climatic variations, serve as vital indicators of climate change. Understanding glacier-fed hydrological systems is essential for predicting water availability and formulating climate adaptation strategies.
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