Optimization of a Network of Hydrometric Stations: Case of the Sota River Basin, Benin
The table below presents the datasets used in this research.
| Description | Format | Reference |
|---|---|---|
| Topographic data: CGIAR-CSI global digital elevation model (SRTM 90m database) | Tag Image File Format (TIF) | Reuter H.I., Nelson A., Jarvis A. (2007) |
| Precipitation data: CHIRPS global and spatially distributed daily precipitation data from 1981 to 2010 | NetCDF4 (NC) | Funk C., Peterson P., Landsfeld M. et al. (2015) |
| Soil data: ORSTOM spatially distributed soil data in Benin | Shapefile (SHP) | ORSTOM (1978) |
| River, forest and road data: IGN shapefiles | Shapefile (SHP) | IGN (2002) |
| Metadata of hydrometric stations: coordinates and installation date | Texte (TXT) | DG-EAU (2008) |
CGIAR-CSI: Consortium for Spatial Information, CHIRPS: Climate Hazards group Infrared Precipitation with Stations, DGEAU: Direction Générale de l’Eau, IGN: Institut Géographique National, ORSTOM: Overseas Scientific and Technical Research Office
The notebooks should be viewed in the following order:
- Download CHIRPS data on SRB: downloads CHIRPS precipitation data and clips it over the study area with Google Colab
- Homogeneous Climate Zone: determines the homogeneous climate zones
- Homogeneous Permeability Zone: determines the homogeneous permeability zones
- Homogeneous Relief Zone: determines the homogeneous relief zones
- Theoretically Homogeneous Hydrological Zones: determines the theoretically homogeneous hydrological zones
- Station Location: suggests locations for new hydrometric stations
- Other: justifies the optimization step and calculates the percentage of forest
Install local environment using an Anaconda Prompt:
conda env create pyaj/GIS
Or download environment requirements here