A Critical Review of Climate Change Impacts on Groundwater Resources: A Focus on the Current Status, Future Possibilities, and Role of Simulation Models
The Earth’s water resources, totalling 1.386 billion cubic kilometres, predominantly consist of saltwater in oceans. Groundwater plays a pivotal role, with 99% of usable freshwater supporting 1.5–3 billion people as a drinking water source and 60–70% for irrigation. Climate change, with temperature...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/15/1/122 |
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| author | Veeraswamy Davamani Joseph Ezra John Chidamparam Poornachandhra Boopathi Gopalakrishnan Subramanian Arulmani Ettiyagounder Parameswari Anandhi Santhosh Asadi Srinivasulu Alvin Lal Ravi Naidu |
| author_facet | Veeraswamy Davamani Joseph Ezra John Chidamparam Poornachandhra Boopathi Gopalakrishnan Subramanian Arulmani Ettiyagounder Parameswari Anandhi Santhosh Asadi Srinivasulu Alvin Lal Ravi Naidu |
| author_sort | Veeraswamy Davamani |
| collection | DOAJ |
| description | The Earth’s water resources, totalling 1.386 billion cubic kilometres, predominantly consist of saltwater in oceans. Groundwater plays a pivotal role, with 99% of usable freshwater supporting 1.5–3 billion people as a drinking water source and 60–70% for irrigation. Climate change, with temperature increases and altered precipitation patterns, directly impacts groundwater systems, affecting recharge, discharge, and temperature. Hydrological models are crucial for assessing climate change effects on groundwater, aiding in management decisions. Advanced hydrological models, incorporating data assimilation and improved process representation, contribute to understanding complex systems. Recent studies employ numerical models to assess climate change impacts on groundwater recharge that could help in the management of groundwater. Groundwater vulnerability assessments vary with the spatial and temporal considerations, as well as assumptions in modelling groundwater susceptibility. This review assesses the vulnerability of groundwater to climate change and stresses the importance of accurate assessments for sustainable water resource management. It highlights challenges in assumptions related to soil and aquifer properties, multiple stressors, adaptive capacity, topography and groundwater contamination processes, gradual sea level rise scenarios, and realistic representations of the region of study. With the advancements in hydrological modelling, including the integration of uncertainty quantification and remote sensing data, artificial intelligence could assist in the efforts to improve models for assessing the impacts of climate change on hydrological modelling. |
| first_indexed | 2024-03-08T11:06:12Z |
| format | Article |
| id | doaj.art-47a9cc788ab441e7936ea41ca3af9de9 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-08T11:06:12Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-47a9cc788ab441e7936ea41ca3af9de92024-01-26T15:02:34ZengMDPI AGAtmosphere2073-44332024-01-0115112210.3390/atmos15010122A Critical Review of Climate Change Impacts on Groundwater Resources: A Focus on the Current Status, Future Possibilities, and Role of Simulation ModelsVeeraswamy Davamani0Joseph Ezra John1Chidamparam Poornachandhra2Boopathi Gopalakrishnan3Subramanian Arulmani4Ettiyagounder Parameswari5Anandhi Santhosh6Asadi Srinivasulu7Alvin Lal8Ravi Naidu9Global Centre for Environmental Remediation (GCER), College of Engineering, Science & Environment, ATC Building, The University of Newcastle, Callaghan, NSW 2308, AustraliaDepartment of Environment and Climate Change, Tamil Nadu Government, Chennai 600015, IndiaDepartment of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore 641003, IndiaICAR-National Institute of Abiotic Stress Management, Baramati 413115, IndiaDepartment of Chemistry, Bannari Amman Institute of Technology, Erode 638401, IndiaDepartment of Environmental Sciences, Directorate of Natural Resource Management, Tamil Nadu Agricultural University, Coimbatore 641003, IndiaGlobal Centre for Environmental Remediation (GCER), College of Engineering, Science & Environment, ATC Building, The University of Newcastle, Callaghan, NSW 2308, AustraliaGlobal Centre for Environmental Remediation (GCER), College of Engineering, Science & Environment, ATC Building, The University of Newcastle, Callaghan, NSW 2308, AustraliaGlobal Centre for Environmental Remediation (GCER), College of Engineering, Science & Environment, ATC Building, The University of Newcastle, Callaghan, NSW 2308, AustraliaGlobal Centre for Environmental Remediation (GCER), College of Engineering, Science & Environment, ATC Building, The University of Newcastle, Callaghan, NSW 2308, AustraliaThe Earth’s water resources, totalling 1.386 billion cubic kilometres, predominantly consist of saltwater in oceans. Groundwater plays a pivotal role, with 99% of usable freshwater supporting 1.5–3 billion people as a drinking water source and 60–70% for irrigation. Climate change, with temperature increases and altered precipitation patterns, directly impacts groundwater systems, affecting recharge, discharge, and temperature. Hydrological models are crucial for assessing climate change effects on groundwater, aiding in management decisions. Advanced hydrological models, incorporating data assimilation and improved process representation, contribute to understanding complex systems. Recent studies employ numerical models to assess climate change impacts on groundwater recharge that could help in the management of groundwater. Groundwater vulnerability assessments vary with the spatial and temporal considerations, as well as assumptions in modelling groundwater susceptibility. This review assesses the vulnerability of groundwater to climate change and stresses the importance of accurate assessments for sustainable water resource management. It highlights challenges in assumptions related to soil and aquifer properties, multiple stressors, adaptive capacity, topography and groundwater contamination processes, gradual sea level rise scenarios, and realistic representations of the region of study. With the advancements in hydrological modelling, including the integration of uncertainty quantification and remote sensing data, artificial intelligence could assist in the efforts to improve models for assessing the impacts of climate change on hydrological modelling.https://www.mdpi.com/2073-4433/15/1/122climate changegroundwaterhydrological modelsmodel calibration |
| spellingShingle | Veeraswamy Davamani Joseph Ezra John Chidamparam Poornachandhra Boopathi Gopalakrishnan Subramanian Arulmani Ettiyagounder Parameswari Anandhi Santhosh Asadi Srinivasulu Alvin Lal Ravi Naidu A Critical Review of Climate Change Impacts on Groundwater Resources: A Focus on the Current Status, Future Possibilities, and Role of Simulation Models Atmosphere climate change groundwater hydrological models model calibration |
| title | A Critical Review of Climate Change Impacts on Groundwater Resources: A Focus on the Current Status, Future Possibilities, and Role of Simulation Models |
| title_full | A Critical Review of Climate Change Impacts on Groundwater Resources: A Focus on the Current Status, Future Possibilities, and Role of Simulation Models |
| title_fullStr | A Critical Review of Climate Change Impacts on Groundwater Resources: A Focus on the Current Status, Future Possibilities, and Role of Simulation Models |
| title_full_unstemmed | A Critical Review of Climate Change Impacts on Groundwater Resources: A Focus on the Current Status, Future Possibilities, and Role of Simulation Models |
| title_short | A Critical Review of Climate Change Impacts on Groundwater Resources: A Focus on the Current Status, Future Possibilities, and Role of Simulation Models |
| title_sort | critical review of climate change impacts on groundwater resources a focus on the current status future possibilities and role of simulation models |
| topic | climate change groundwater hydrological models model calibration |
| url | https://www.mdpi.com/2073-4433/15/1/122 |
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