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

  • Soghra Andaryani
  • , Vahid Nourani
  • , Biswajeet Pradhan
  • , Tahereh Jalali Ansarudi
  • , Farnaz Ershadfath
  • , Ali Torabi Haghighi

Research output: Contribution to journalArticleResearchpeer-review

18 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)979-995
Number of pages17
JournalHydrological Sciences Journal
Volume67
Issue number6
DOIs
Publication statusPublished - 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • climate change
  • GIS
  • groundwater recharge
  • HELP model
  • Iran
  • Tasuj Plain aquifer

Programme Area

  • Programme Area 2: Water Resources

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