Ming-Han Li
Michigan State University
79 Papers
308 Citations
Ming-Han Li is an academic researcher from Michigan State University. The author has contributed to research in topics: Stormwater & Surface runoff. The author has an hindex of 18, co-authored 72 publications. Previous affiliations of Ming-Han Li include Texas A&M Transportation Institute & Texas A&M University System.
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Papers
Biotechnical engineering as an alternative to traditional engineering methods: A biotechnical streambank stabilization design approach
Ming-Han Li,Karen E. Eddleman +1 more
TL;DR: In this paper, the authors investigated biotechnical engineering as a viable alternative to traditional channelization and hard-armoring methods for streambank stabilization, focusing on ecologically fragile streams in the US.
129
Predicting stream water quality under different urban development pattern scenarios with an interpretable machine learning approach.
TL;DR: The results of this study provide empirical evidence and a potential mechanistic explanation that stream water quality degradation is a consequence of urban sprawl.
127
The influence of climate on the effectiveness of low impact development: A systematic review.
TL;DR: The results of weighted meta-analysis reveal a greater sensitivity of runoff volume to changing storm frequency thanpeak discharge rates, while the capacity of LID systems to reduce both volume and peak discharge rates diminishes with increasing storm intensity.
91
How does increasing impervious surfaces affect urban flooding in response to climate variability
TL;DR: In this paper, the authors evaluated the impacts of TIA and DCIA on urban runoff in three metropolitan statistical areas (MSAs) in the U.S. state of Texas.
83
Utilizing the Analytic Hierarchy Process to Establish Weighted Values for Evaluating the Stability of Slope Revegetation based on Hydroseeding Applications in South Korea
TL;DR: In this article, the authors identify the major variables identified as important for considering the stabilization of slope revegetation based on hydroseeding applications and evaluate weights of each variable using the analytic hierarchy process (AHP) with both environmental experts and civil engineers.