Investigating Approaches for Representing Pluvial Flooding within NOAA’s NextGen Modeling Framework

This repository supports a study evaluating the spatial reliability and predictive accuracy of the NextGen National Water Model for localized pluvial flooding. It includes tools for processing storm event data, computing pluvial flood indices (PFIs), and visualizing flood responses across diverse catchment sizes and urban land covers. The workflow helps benchmark NextGen’s applicability for site-specific flood detection and urban hydrology analysis.

Methodological approach

In this study, we adopted the methodological framework represented in below Figure. We develop an operational framework that integrates the local storm reports, insurance data for isolating pluvial flood events, runs the NextGen Conceptual Functional Equivalent (CFE) model for the selected events, and determines the pluvial events based on the indices developed. The following subsections describe the data preparation and determination of the pluvial indices in detail.

Code

Clone the Repository

git clone https://github.com/NWC-CUAHSI-Summer-Institute/hydropulse
cd hydropulse

Create a virtual environment

python -m venv venv
source venv/bin/activate   # macOS/Linux
venv\Scripts\activate      # Windows

Install Dependencies

pip install -r requirements.txt

Dataset

All the dataset used in this study is available in this Hydroshare link: https://www.hydroshare.org/resource/a20de1de8cdf4c5197f46319cb911242/

For More Information

For more information, do contact team Hydropulse- Supath Dhital ([email protected]), Yogesh Bhattarai ([email protected]) and Samrin Sauda ([email protected])