Predictive Modeling of Flood Susceptibility: Phase 1
By Alex John Quijano and Madeline Brown and Ritesh Sharma and Umesh Krishnamurthy
Project Presentation: May 13, 2020
Framing the Problem
Coupled human natural systems issue
People + Place = Natural Disaster
- Climate Change
- Events occurring in areas not prepared or underprepared
- Larger duration, varied spread, varied intensity
- E.g. atmospheric rivers in CA
- Physical Geography and Geology
- Slope: which way is downhill?
- Features: directing water i.e. saddles in ridges, escarpments, etc
- Soil porosity/water retention
- E.g. Less permeable clay has more run off
- Humans
- Outdated or nonexistent infrastructure
- Declaring natural disasters and receiving aid based off financial damage to public infrastructure at the state level (CA)
- Replacement of porous surfaces with concrete
Summary
Additional Materials
Data collection and processing of the factors important to predict flood susceptibility. We have a progress summary of the data that we collected and there is a provided code along with it.
- Summary of Datasets Report
- https://drive.google.com/drive/folders/1MMl7ECQTzpvsS8Rk71PJWeye61AIY9DP?usp=sharing
Constructing and evaluating the model.
- Literature review: Mathematical Modeling Flood Risks Report