M
Michael K. Stenstrom
Researcher at University of California, Los Angeles
Publications - 284
Citations - 8598
Michael K. Stenstrom is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Stormwater & Surface runoff. The author has an hindex of 49, co-authored 279 publications receiving 7789 citations. Previous affiliations of Michael K. Stenstrom include Kongju National University & Gwangju Institute of Science and Technology.
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Sediment characteristics, phosphorus types and phosphorus release rates between river and lake sediments.
TL;DR: Research measures phosphorus release and predicts future releases from bottom sediments of two tributary areas (Chungpyung Lake (CPL) and Jamsil submerged dam (JSD) area in the Han river) and shows that phosphorus release rates ranged from 60 to 80 mg/m2 week in JSD area and ranged from 25 to 40mg/m3 week in CPL sediments.
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Greenhouse gas production: A comparison between aerobic and anaerobic wastewater treatment technology
TL;DR: This paper analyzes greenhouse gas emissions from both aerobic and anaerobic treatment systems, including sludge digestion and the losses of dissolved methane in digested biosolids and process effluents.
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Aeration of large-scale municipal wastewater treatment plants: state of the art
TL;DR: Results obtained with clean- and process-water tests are used to show the beneficial effects of high MCRT operations, the beneficial effect of selectors, and the decline of aeration efficiency due to dissolved surfactants.
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The effect of dissolved oxygen concentration on nitrification
TL;DR: The effect of dissolved oxygen concentration on the rate of nitrification has been investigated by a number of researchers using both pure and mixed cultures, and cultures found in wastewater treatment systems.
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Automatic Calibration of the U.S. EPA SWMM Model for a Large Urban Catchment
TL;DR: In this article, the authors used GIS and stormwater model with a constrained optimization technique to estimate runoff parameters, and ten storms were used for calibration and validation, and the calibrated model predicted the observed outputs with reasonable accuracy.