Runzi Wang
University of Michigan
9 Papers
Runzi Wang is an academic researcher from University of Michigan. The author has contributed to research in topics: Water quality & Computer science. The author has an hindex of 3, co-authored 3 publications. Previous affiliations of Runzi Wang include Michigan State University.
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Papers
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
Investigating sense of place of the Las Vegas Strip using online reviews and machine learning approaches
TL;DR: This study shows how online reviews can provide strong empirical evidence for visitor experience in built environment projects and can be used by landscape architects, urban planners, and policy makers on post-occupancy evaluation and guide redevelopment efforts to provide a full feedback loop.
57
Predicting bioretention pollutant removal efficiency with design features: A data-driven approach
TL;DR: This study suggests that the data-driven approach provides insights into understanding the complex relationship between bioretention design features and pollutant removal performance.
34
How spatial patterns affect urban green space equity at different equity levels: A Bayesian quantile regression approach
TL;DR: In this article , a Bayesian quantile regression model was applied to investigate the nonlinear relationship between spatial pattern and UGS equality in the whole study area and its three subregions of different population density.
31
Comparing stormwater quality and watershed typologies across the United States: A machine learning approach.
TL;DR: Using machine learning techniques, the authors examined how stormwater quality and watershed characteristics are related at a national scale and compared watershed quality across watersheds in diverse climates using the National Stormwater Quality Database (NSQD).
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