Modeling and Mapping Flood Hazard with a Flood Risk Assessment Tool: A Case Study of Austin, Texas  

作　　者：Chikodinaka Vanessa Ekeanyanwu Priyanjali Bose Matthew Beavers Yihong Yuan Inioluwa Obisakin Chikodinaka Vanessa Ekeanyanwu;Priyanjali Bose;Matthew Beavers;Yihong Yuan;Inioluwa Obisakin(Department of Geography and Environmental Studies, Texas State University, San Marcos, TX, USA;Ingram School of Engineering, Texas State University, San Marcos, TX, USA)

机构地区：[1]Department of Geography and Environmental Studies, Texas State University, San Marcos, TX, USA [2]Ingram School of Engineering, Texas State University, San Marcos, TX, USA

出　　处：《Journal of Geographic Information System》2022年第4期332-346,共15页地理信息系统（英文）

摘　　要：As a hazard, flood is an extremely important indicator of how a city is resilient to waterborne diseases and epidemics. Over many decades, flood as a hazard has been a major factor in inducing displacement of marginalized section of the people. Austin city within Central Texas has been identified as one of the major hotspots for flooding in recent decades. Thus, the objectives of the paper are two folded: 1) Empirically, we analyzed and mapped out the susceptibility levels from the factors of physical environments to assess the risk of urban flooding (rainfall data, surface water bodies and topography);in Austin, Texas and 2) Methodologically, we created a re-useable ArcGIS scripting tool that can be used by researchers to automate the process of flood risk modelling with certain criteria. The paper showcases a novel time sensitive building of a tool which will enable better visibility of flood within the city of Austin.As a hazard, flood is an extremely important indicator of how a city is resilient to waterborne diseases and epidemics. Over many decades, flood as a hazard has been a major factor in inducing displacement of marginalized section of the people. Austin city within Central Texas has been identified as one of the major hotspots for flooding in recent decades. Thus, the objectives of the paper are two folded: 1) Empirically, we analyzed and mapped out the susceptibility levels from the factors of physical environments to assess the risk of urban flooding (rainfall data, surface water bodies and topography);in Austin, Texas and 2) Methodologically, we created a re-useable ArcGIS scripting tool that can be used by researchers to automate the process of flood risk modelling with certain criteria. The paper showcases a novel time sensitive building of a tool which will enable better visibility of flood within the city of Austin.

关 键 词：MAPPING Texas Flood Risk SUSCEPTIBILITY VULNERABILITY GIS ArcPy 

分 类 号：F42[经济管理—产业经济]