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.
The repository is organized into sequential modules that follow the full flood-risk modeling pipeline:
-
1. Data preprocessing/
Preparation and cleaning of raw datasets, including formatting, filtering, and structuring data for scalable and parallel processing. -
2. Hydraulic model/
Implementation of hydraulic computations for estimating culvert discharge capacity. -
3. Hydrologic model/
Watershed delineation, hydrologic parameter estimation, and peak-flow calculations. -
4. Validation/
Evaluation and verification of hydrologic and hydraulic outputs against reference data and independent models. -
5. Results/ Confident batch/
Spatio-temporal flood-risk analysis results and generation of spatial and temporal visualizations across the study region.
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A.1 AMC/
Analysis related to Antecedent Moisture Conditions (AMC) and their effect on runoff and peak-flow estimation. -
Environment/
Environment configuration file and dependencies required to reproduce the computational workflow. -
Image/
Figures used in the README and related materials.
Note:
The folders are intended to be executed in order, starting from data preprocessing and proceeding through modeling, validation, and results generation.
To run the analysis:
- Clone the repository:
git clone https:https://github.com/omidemam/CRISIS_Management.git cd CRISIS_Management
For questions, feedback, or collaboration opportunities, please email me at: omid.emamjomehzadeh@nyu.edu
If you use this repository in your research or projects, please cite it as follows:
BibTeX format:
@misc{emamjomehzadeh_wani_2026,
author = {Emamjomehzadeh, Omid and Wani, Omar},
title = {Scalable flood-risk analysis for New York State culvert infrastructure reveals patterns of dependence},
year = {2026},
doi = {https://doi.org/10.1038/s43247-026-03550-8},
note = {Communications Earth \& Environment}
}


