气候变化领域集成服务门户(CCPortal): Using search-constrained inverse distance weight modeling for near real-time riverine flood modeling: Harris County, Texas, USA before, during, and after Hurricane Harvey

CCPortal

DOI	10.1007/s11069-020-04309-w
	Using search-constrained inverse distance weight modeling for near real-time riverine flood modeling: Harris County, Texas, USA before, during, and after Hurricane Harvey
	Berens A.S.; Palmer T.; Dutton N.D.; Lavery A.; Moore M.
发表日期	2021
ISSN	0921030X
起始页码	277
结束页码	292
卷号	105 期号:1
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.
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
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206113
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
推荐引用方式 GB/T 7714	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],2021,105(1).
APA	Berens A.S.,Palmer T.,Dutton N.D.,Lavery A.,&Moore M..(2021).Using search-constrained inverse distance weight modeling for near real-time riverine flood modeling: Harris County, Texas, USA before, during, and after Hurricane Harvey.Natural Hazards,105(1).
MLA	Berens A.S.,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".Natural Hazards 105.1(2021).