Akademik Veri Yönetim Sistemi
ARABIAN JOURNAL OF GEOSCIENCES, cilt.16, ss.1-12, 2023 (Hakemli Dergi)
In the case of changing climate and water crises, the design of every hydraulic structure requires hydrological modeling to investigate the effects of climate change in the region. For this purpose, climate data are the key factor in making a model. However, data scarcity is an issue in developing countries and remote areas. Satellite-based and remote sensing data are an alternative option to be used instead of ground-based meteorological data. Various satellite-based data sets are available to be employed in modeling; nevertheless, the researchers face the challenge of choosing the most precise and reliable data set that should be well suited to the targeted area. In this study, three satellite-based precipitation datasets were investigated using Soil & Water Assessment Tool (SWAT) to analyze their accuracy in the hydrological modeling of the Shakardara watershed, located in the Northwest of Kabul city in Afghanistan. In this research, hydrological modeling was performed using precipitation data from Tropical Rainfall Measurement Mission (TRMM_3B42), Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS_v2), and NASA Prediction of Worldwide Energy Resource (NASA POWER) datasets separately. The models were calibrated and validated based on observed river discharge. The acquired result shows the TRMM_3B42 as the most precise and compatible with the region than CHIRPS_v2 and NASA POWER data sets. This research can be used as a reference for hydrologists and water infrastructure designers in the area and other data-scarce regions.