Watch a 19-minute conference presentation from the Georgia Water Resources Conference that demonstrates the development of an automated geospatial model for predicting flood potential in Hall County, GA. Learn how climate change-induced flooding and flash flooding events can be better anticipated through analysis of soil characteristics, topography, land use, precipitation patterns, and historical storm data. Explore the methodology of processing various geospatial datasets using ArcGIS Pro ModelBuilder and Python scripting to create vulnerability maps. Understand how the Delphi-based weighting system was implemented to enhance prediction accuracy, and see how the model's results were validated against actual flooding events since 2010. Gain insights into a replicable approach that environmental managers and stakeholders can use to implement proactive flood mitigation measures in their regions.
Automated Flood Potential Geospatial Model Development for Management Decision Support
Georgia Water Resources Conference via YouTube
Overview
Syllabus
Introduction
Background
Study Area
Soil Data
Classification
Results
Vector Data
Summary Conclusion
Taught by
Georgia Water Resources Conference