Here are some ideas to integrate hydrologic approaches for realizing Digital Twin
🙋♀️ 1. Development of Digital Twin Core Engine for Hydrologic Approaches
🌈 2. Collection of Global and Local Data for Model Input Preparation
👩💻 3. Modeling Output Visualization on Digital Twin Platform
🍿 4. Computer Vision for Emergency Detection
🧙 5.
Forked from Deltares/pyflwdir
Fast methods to work with hydro- and topography data in pure Python.
Python
Forked from DavidChoi76/hydromt_wflow
Wflow plugin for HydroMT
Python
Forked from DavidChoi76/hydromt_wflow
Wflow plugin for HydroMT
Python
Forked from oreopie/flood-compounding-drivers
Identification of compounding drivers of river floods
Jupyter Notebook
Forked from patelanjali7/flood_inundation_hand
A notebook for processing Digital Elevation Models (DEM) into flood inundation maps based Highest Above Nearest Drainage (HAND) values.
Jupyter Notebook
Flood inundation mapping and evaluation software configured to work with U.S. National Water Model.
A river mapping library to take .shp files and create River Network Zarr stores
Repository to house information on FloodNet data including CSV exports and API
Identification of compounding drivers of river floods
A novel differentiable modeling framework to perform routing and to learn a “parameterization scheme” (a systematic way of inferring parameters from more rudimentary information) for routing flows on the river network.
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