CRISIS-Management: Conditional Risk in Stormwater Infrastructure Systems — Resilient Management

This repository contains the codebase for the research paper:

Large-scale flood risk analysis of distributed stormwater infrastructure serving 2,300 catchments in New York State

Overview

This project examines the spatiotemporal dynamics of flood risk within New York State's road networks, with a focus on the performance and behavior of large culvert drainage systems. It includes data preprocessing, hydrologic and hydraulic modeling, model validation, risk analysis, and visualization workflows used in the study.

Figure: Field photographs of culverts observed during a site visit to Upstate New York.

Repository Contents

• Data preprocessing: Prepares raw data for parallel computation by cleaning, formatting, and organizing it appropriately.
• Hydrologic model: Performs watershed delineation, Curve Number (CN) calculation, watershed urbanized portion, and peak hydrologic flow computation.
• Hydraulic model: Calculates the hydraulic capacity of the culverts.
• Validation: Validates each component, including watershed delineation, CN values, peak flow estimations, and hydraulic capacity.
• Result: Conducts risk assessment and visualizes both the temporal and spatial dynamics of the risk.

Getting Started

To run the analysis:

1. Clone the repository:

   git clone https:https://github.com/omidemam/flood_risk_dynamics.git
   cd flood_risk_dynamics
   

📬 Contact

For questions, feedback, or collaboration opportunities, please email me at: omid.emamjomehzadeh@nyu.edu

📚 Citation

If you use this repository in your research or projects, please cite it as follows:

BibTeX format:

@misc{emamjomehzadehandWani(2025),
  author       = {Omid Emamjomehzadeh, Omar Wani},
  title        = {Large-scale flood risk analysis of distributed stormwater infrastructure serving 2,300 catchments in New York State},
  year         = {2025},
  publisher    = {Nature},
  journal      = {Nature communications},
  howpublished = {\url{https://github.com/omidemam/flood_risk_dynamics}},
}