Spatiotemporal evaluation of future groundwater recharge in arid and semi-arid regions under climate change scenarios

被引:7
|
作者
Andaryani, Soghra [1 ,2 ,11 ]
Nourani, Vahid [1 ,2 ,8 ]
Pradhan, Biswajeet [3 ,4 ,5 ]
Ansarudi, Tahereh Jalali [6 ]
Ershadfath, Farnaz [7 ,9 ]
Haghighi, Ali Torabi [10 ]
机构
[1] Univ Tabriz, Ctr Excellence Hydroinformat, Tabriz, Iran
[2] Univ Tabriz, Fac Civil Engn, Tabriz, Iran
[3] Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Adv Modelling & Geospatial Informat Syst CAMG, Ultimo, NSW, Australia
[4] Abdulaziz Univ, Ctr Excellence Climate Change Res, Jeddah, Saudi Arabia
[5] Univ Kebangsaan Malaysia, Earth Observat Ctr, Inst Climate Change, Bangi, Malaysia
[6] Univ Tabriz, Fac Planning & Environm Sci, Dept Climatol, Tabriz, Iran
[7] Aarhus Univ, Dept Agroecol, Tjele, Denmark
[8] Near East Univ, Fac Civil & Environm Engn, Mersin, Turkey
[9] Sari Agr Sci & Nat Resources Univ, hWater Engn Dept, Sari, Iran
[10] Univ Oulu, Water Energy & Environm Engn Res Unit, Oulu 90570, Finland
[11] Geol Survey Denmark & Greenland, GEUS, Oster Voldgade 10, DK-1350 Copenhagen K, Denmark
关键词
groundwater recharge; climate change; HELP model; GIS; Tasuj Plain aquifer; Iran; DIFFERENT GCMS; WATER-BALANCE; IMPACTS; VARIABILITY; COVER; MODEL; PERFORMANCE; AQUIFERS; SURFACE; WEST;
D O I
10.1080/02626667.2022.2050732
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
In this study, the Hydrologic Evaluation of Landfill Performance (HELP3.8D) model was developed to evaluate the spatiotemporal distribution of potential groundwater recharge (GWR) in Tasuj aquifer, northwestern Iran. High-resolution future climatic data from second-generation Canadian Earth System Model (CanESM2) general circulation models (GCMs) was produced under different scenarios of Representative Concentration Pathways (RCP2.6, RCP4.5, and RCP8.5). The analysis of climate parameters demonstrated that under RCP2.6, climatic variation will be substantially similar to that of the observed period (1961-2005), while moderate and severe droughts are anticipated under scenarios RCP4.5 and RCP8.5, respectively, over 2017-2030. The projection results showed that GWR will be altered by climate change, on average, from 31 mm/year at baseline to 32 (+3%), 28.5 (-8%) and 11.5 (-63%) mm/year under the RCP2.6, RCP4.5 and RCP8.5 scenarios, respectively. This approach can be easily replicated by other researchers and could be beneficial for monitoring water security and managing groundwater resources in other catchment areas.
引用
收藏
页码:979 / 995
页数:17
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