globalchange  > 气候变化与战略
DOI: 10.1007/s11069-020-04309-w
论文题名:
Using search-constrained inverse distance weight modeling for near real-time riverine flood modeling: Harris County, Texas, USA before, during, and after Hurricane Harvey
作者: Berens A.S.; Palmer T.; Dutton N.D.; Lavery A.; Moore M.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 105, 期:1
起始页码: 277
结束页码: 292
语种: 英语
中文关键词: Flood modeling ; Harris County ; Hurricane harvey ; Inverse distance weighting ; United states
英文关键词: flood control ; flooding ; hazard assessment ; hazard management ; hurricane event ; public health ; real time ; Harris County [Texas] ; Texas ; United States
英文摘要: Flooding poses a serious public health hazard throughout the world. Flood modeling is an important tool for emergency preparedness and response, but some common methods require a high degree of expertise or may be unworkable due to poor data quality or data availability issues. The conceptually simple method of inverse distance weight modeling offers an alternative. Using stream gauges as inputs, this study interpolated stream elevation via inverse distance weight modeling under 15 different model input parameter scenarios for Harris County, Texas, USA, from August 25th to September 15th, 2017 (before, during, and after Hurricane Harvey inundated the county). A digital elevation model was used to identify areas where modeled stream elevation exceeded ground elevation, indicating flooding. Imagery and observed high water marks were used to validate the models’ outputs. There was a high degree of agreement (between 79 and 88%) between imagery and model outputs of parameterizations visually validated. Quantitative validations based on high water marks were also positive, with a Nash–Sutcliffe efficiency of in excess of.6 for all parameterizations relative to a Nash–Sutcliffe efficiency of the benchmark of 0.56. Inverse distance weight modeling offers a simple, accurate method for first-order estimations of riverine flooding in near real-time using readily available data, and outputs are robust to some alterations to input parameters. © 2020, Springer Nature B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168912
Appears in Collections:气候变化与战略

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作者单位: Geospatial Research, Analysis, and Services Program (GRASP), Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Chamblee, GA 30341, United States; Harris County Flood Control District, Houston, TX, United States

Recommended Citation:
Berens A.S.,Palmer T.,Dutton N.D.,et al. Using search-constrained inverse distance weight modeling for near real-time riverine flood modeling: Harris County, Texas, USA before, during, and after Hurricane Harvey[J]. Natural Hazards,2021-01-01,105(1)
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