Scalability of CASCADE2001: Gis-Based Flood Risk Screening Tool to Support Watershed Master Planning

Authors

  • Tucker Hindle Florida Atlantic University
  • Frederick Bloetscher Florida Atlantic University
  • Anthony Abbate Florida Atlantic University
  • Jeffery Huber Florida Atlantic University
  • Weibo Liu Florida Atlantic University
  • Daniel E. Meeroff Florida Atlantic University
  • Diana Mitsova Florida Atlantic University
  • S. Nagarajan Florida Atlantic University
  • Colin Polsky Florida Atlantic University
  • Hongbo Su Florida Atlantic University
  • Ramesh Teegavarapu Florida Atlantic University
  • Zhixiao Xie Florida Atlantic University
  • Yan Yong Florida Atlantic University
  • Caiyun Zhang Florida Atlantic University

DOI:

https://doi.org/10.63002/asrp.28.562

Keywords:

Flooding, watershed, drilldown flood modeling, screening tool, risk, infrastructure prioritization

Abstract

Flood risk analysis is the instrument by which floodplain and stormwater utility managers create a sound strategy and adaptation plans to reduce flood potential in their communities. As a result, there is a need to develop a flood risk screening tool to analyze watersheds and find vulnerable areas by leveraging the scientific and technological developments of the last decade to prioritize improvements. Because local municipalities are continuously challenged by the impacts of changes in precipitation and other climatic events, the screening tool needs to be scalable, while providing similar results of spatial inundation extent regardless of the scale.  Likewise, the ability to perform this analysis without overwhelming limited modeling budgets is a goal for local governments who may spend large amounts of money on capital in the future to retrofit their stormwater management systems. The present study investigates the scalability of a GIS-based hydrologic-hydraulic model, CASCADE2001, to support development of watershed-based flood protection plans. The comparative analysis of the predicted flood response at three nested levels of scale were applied in south Florida to a 8-digit hydrologic unit code (HUC) level (the Caloosahatchee Watershed), a 12-digit HUC level (the Ninemile Canal Subwatershed within the Caloosahatchee Watershed), and a local municipal level (City of Clewiston, Florida within the Ninemile Canal subwatershed).  The findings were that the model was scalable and the infrastructure that mattered with respect to results was driven by the scale.   

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Published

31-08-2024