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:: Volume 11, Issue 2 (9-2023) ::
jgit 2023, 11(2): 63-82 Back to browse issues page
Assessing groundwater level variation in Aspas alluvial aquifer using satellite-based GRACE data combined with global (GLDAS) and locally-parametrized (SWAT) hydrological models
Mohammadhosein Fakourian * , Gholamreza Joodaki , Mostafa Naderi
University of Zanjan
Abstract:   (461 Views)
Optimal and sustainable water use requires assessment of water balance for water resources (surface and ground waters). Evaluating storage change in water resources, especially in groundwater resources, is provided by large-scale assessment of satellite-based GRACE and GRACE FO data. This study aims to evaluate groundwater storage variation in Aspas alluvial aquifer (726.81 km2) of northern Fars Province during the period 2002-2015. Satellite-based GRACE and GRACE FO data provides large-scale groundwater storage variation, leading to large uncertainties for groundwater storage variation at the scale of an aquifer. Thus, GRACE-scale groundwater storage variation is evaluated and then change in Aspas groundwater storage is assessed using a simple downscaling method. Real groundwater storage depletion (evaluated using groundwater level measurements) in Aspas aquifer is compared to downscaled GRACE-based groundwater storage depletion to validate the results. Downscaled GRACE-based data for Aspas alluvial aquifer shows annual groundwater storage depletion by 25 million cubic meter which is near the measurement-based annual groundwater storage depletion by 33 million cubic meter.  
Keywords: Aspas aquifer, Fars Province, groundwater storage, hydrological model, downscaling, GRACE
Full-Text [PDF 1716 kb]   (134 Downloads)    
Type of Study: Research | Subject: Geodesy
Received: 2023/06/27 | Accepted: 2023/09/9 | ePublished ahead of print: 2023/10/10 | Published: 2023/10/10
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fakourian M, joodaki G, naderi M. Assessing groundwater level variation in Aspas alluvial aquifer using satellite-based GRACE data combined with global (GLDAS) and locally-parametrized (SWAT) hydrological models. jgit 2023; 11 (2) :63-82
URL: http://jgit.kntu.ac.ir/article-1-921-en.html


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Volume 11, Issue 2 (9-2023) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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