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Scaling-Based Robust Predictions Of Periodic Stream Water Quality Variables Across The Contiguous U.S., Mohammad Abu Zafer Siddik
Scaling-Based Robust Predictions Of Periodic Stream Water Quality Variables Across The Contiguous U.S., Mohammad Abu Zafer Siddik
Graduate Theses, Dissertations, and Problem Reports
Stream water quality is at the core of the biological and ecological health of streams and rivers. Subject to the environmental variation and in-stream metabolic activities, key water quality indicators such as dissolved oxygen (DO), water temperature (Tw), and chlorophyll a (Chl a, an indicator of primary productivity) typically follow a concave-shaped diurnal cycle. Variation and changes in climatic drivers (e.g., solar radiation, air temperature, and pressure), land uses, and hydrologic variables lead to a high spatiotemporal variability in stream water quality. The spatiotemporal variation challenges the development of robust models for predictions across large scales (e.g., county, state, country), …