Coupling remote sensing and hydrological model for evaluating the impacts of climate change on streamflow in data-scarce environment
The Kabul River Basin (KRB) in Afghanistan is densely inhabited and heterogenic. The basin’s water resources are limited, and climate change is anticipated to worsen this problem. Unfortunately, there is a scarcity of data to measure the impacts of climate change on the KRB’s current water resources...
| Autores principales: | , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2021
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/118276 |
Ejemplares similares: Coupling remote sensing and hydrological model for evaluating the impacts of climate change on streamflow in data-scarce environment
- Metrics assessment and streamflow modeling under changing climate in a data-scarce heterogeneous region: a case study of the Kabul River Basin
- Understanding hydrological processes with scarce data in a mountain environment
- Streamflow trends and climate linkages in the Zagros Mountains, Iran
- Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration
- Calibration of a semi-distributed hydrological model using discharge and remote sensing data
- Coupling land-use change and hydrologic models for quantification of catchment ecosystem services