Environmental

Oral

398034 - Scaling-based robust modeling and prediction of stream dissolved oxygen (DO) using fraction of DO saturation

Monday, June 4
10:30 AM - 12:00 PM
Location: Lakeshore B
Co-Authors: Omar Abdul-Aziz, Morgantown, WV, U.S.A – West Virginia University; Khandker S. Ishtiaq, Morgantown, WV, U.S.A – West Virginia University

Stream dissolved oxygen (DO) is an important determinant of water quality and an indicator of the general health of an aquatic ecosystem. The model is formulated by normalizing hourly DO observation with corresponding DO saturation (DOsat). Such normalization resulted in a different fraction of DOsat (F*) cycles. The DOsat was estimated as a function of water temperature. A single reference time F* was used to scale the entire F* cycle, which was parameterized by using an extended stochastic harmonic algorithm (ESHA). Hourly DO observation and stream temperature of growing season (May-October) during 2008-2015 data of 52 water quality stations were obtained from USGS database. The water quality stations incorporated a gradient in climate (tropical, temperate, subarctic), land use/cover (agricultural, urban, forest), and hydrology. The model parameters showed notable robustness across growing season of different years and different streams. The model is predicted using both site-specific (temporal averages) and generalized (spatiotemporal averages across sites) ensemble set of parameters showed good model fitting efficiency and accuracy. The robustness of model parameters was further quantified by analytical sensitivity and uncertainty measures. The developed fine-resolution (hourly) DO model can be considered as a useful tool for the dynamic assessment of aquatic ecosystem health.

Mohammad Abu Zafer Siddik

Graduate Research Assistant & Doctoral Student
West Virginia University

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398034 - Scaling-based robust modeling and prediction of stream dissolved oxygen (DO) using fraction of DO saturation



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