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Quantifying the Response of Stream Metabolism to High Flow Resulting from Storms in Urban Watersheds near Cleveland, Oh and Denver, Co
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Quantifying the Response of Stream Metabolism to High Flow Resulting from Storms in Urban Watersheds near Cleveland, Oh and Denver, Co
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Dissertation
Quantifying the Response of Stream Metabolism to High Flow Resulting from Storms in Urban Watersheds near Cleveland, Oh and Denver, Co
2022
Overview
Indices of stormwater management effectiveness focus on the cumulative effect actions have on the hydrologic regimes and levels of erosion mitigation in the watershed. To understand the broader implications of stormwater management can have on water quality and ecosystem health, hydrologic regimes of urban streams are linked to metrics of functional disturbance through long-term monitoring of water chemistry and environmental conditions. High-frequency data from sensors placed in-stream and remote satellite data of solar irradiance were collected over a two-year study period in three streams near Cleveland, Ohio and Denver, Colorado. Daily rates of gross primary production (GPP) and ecosystem respiration (ER), and of gas exchange velocity were estimated through inverse Bayesian modeling of dissolved oxygen dynamics. Estimates of GPP and ER provide point-comparisons of stream ecosystem function before and after storm events, quantifying the resistance of production and respiration to hydrologic pulses. Results show ecosystem respiration to be more less responsive, or more resistant, to high flow than gross primary production, resulting in well-lit streams rarely or never experiences days of net-autotrophic function. Recovery intervals of GPP were often interrupted by frequent high-intensity storms, indicating cumulative degradation of ecosystem function over time.
