TITLE:
Modeling and Mapping Flood Hazard with a Flood Risk Assessment Tool: A Case Study of Austin, Texas
AUTHORS:
Chikodinaka Vanessa Ekeanyanwu, Priyanjali Bose, Matthew Beavers, Yihong Yuan, Inioluwa Obisakin
KEYWORDS:
Mapping, Texas, Flood Risk, Susceptibility, Vulnerability, GIS, ArcPy
JOURNAL NAME:
Journal of Geographic Information System,
Vol.14 No.4,
August
12,
2022
ABSTRACT: 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.