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Xiuxia Ma, Wenfa Peng, Bingwei Tong, Taiyun Li, Le Wang, Bin Du and Chaochao Li
To comprehensively comprehend the spatiotemporal variations in pollution load within the Sixth Drainage Ditch of the Ningxia Yellow River Diversion Irrigation Area, we employed the LOADEST model. We utilized daily flow data and concentrations of ammonia ...
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Bijay K. Pokhrel
Land use changes are a key factor for altering hydrological response, and understanding its impacts can help to develop a sustainable and pragmatic strategy in order to preserve a watershed. The objective of this research is to estimate the impact of lan...
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Amirreza Sharifi, Haw Yen, Carlington W. Wallace, Gregory McCarty, Wade Crow, Bahram Momen, Megan W. Lang, Ali Sadeghi, Sangchul Lee, Judith Denver and Martin C. Rabenhorst
High frequency in-situ measurements of nitrate can greatly reduce uncertainty in nitrate flux estimates. Water quality databases maintained by various federal and state agencies often consist of pollutant concentration data obtained from periodic grab sa...
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Youn Shik Park and Bernie A. Engel
Water quality samples are typically collected less frequently than flow since water quality sampling is costly. Load Estimator (LOADEST), provided by the United States Geological Survey, is used to predict water quality concentration (or load) on days wh...
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Youn Shik Park, Bernie A. Engel, Jane Frankenberger and Hasun Hwang
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Youn Shik Park and Bernie A. Engel
Water quality data are collected by various sampling frequencies, and the data may not be collected at a high frequency nor over the range of streamflow conditions. Therefore, regression models are used to estimate pollutant data for days on which water ...
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