关键词:
Remote and satellite sensing
Groundwater storage
Downscaling method
Alluvial aquifers
Iran
摘要:
A method to downscale annual groundwater storage variations from large-scale, satellite-derived estimates to individual aquifers is presented, employing a simple linear regression approach based on the water balance principle. The method relies on groundwater storage changes derived from the gravity recovery and climate experiment (GRACE). Seven alluvial aquifers, ranging in area from approximately 145 to 1300 km(2) in Fars Province, Iran, were selected as case studies to evaluate the applicability of the proposed downscaling method. The results indicate that groundwater storage at the GRACE scale (similar to 31,416 km(2)) has depleted by 229 million cubic meters (MCM) per year during the study period (2002-2015). The correlation coefficients between downscaled and actual groundwater storage depletions varies from 0.655 to 0.891, with an average of similar to 0.82 across the seven aquifers, demonstrating the method's ability to provide acceptable downscaling results. Downscaling results indicate that the alluvial aquifers of Aspas, Namdan, Beiza-Zarghan, Dehbid, Abadeh-Eghlid, Bakan, and Sidan-Farugh have experienced groundwater storage depletions of 17.71, 34.49, 46.21, 13.88, 14.11, 6.78, and 22.62 MCM per year, respectively, from 2002 to 2015, which correspond to water table declines of 0.915, 0.656, 0.822, 0.538, 0.725, 1.395, and 1.435 m/year, respectively. As a final point, this study proposes a downscaling method that can be applied to address groundwater storage variations at aquifer scales, particularly in regions with unavailable or limited data.