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<p>Coupled Model Intercomparison Project Phase 6 (CMIP6) is a more advanced climate modeling framework, that includes updated emissions scenarios (Shared Socioeconomic Pathways − SSPs) to their CMIP5 previous generations, which used Representative Concentration Pathways−RCPs. This study assesses groundwater recharge potential zones by using projected rainfall maps derived from both RCP and SSP scenarios. Nine factors, including rainfall, are used to identify these recharge zones. Furthermore, the study identifies the best locations for recharge wells based on the most suitable recharge zones. The delineation results show that, in some cases such as the ‘low risk with average trade-off’, the recharge zones are more refined, with an observed increase in the extent of ‘very-good’ zones, particularly under SSP scenarios. Conversely, scenarios like ‘low-risk with no trade-off’ exhibit minor to no changes in recharge zones across both RCP and SSP scenarios. Furthermore, comparing RCP and SSP scenarios, the number of locations for recharge increases from 13 to 22. These findings emphasize the importance of utilizing developments in climate modeling to improve the precision of groundwater recharge investigations.</p>

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Optimizing groundwater recharge potential zone using integrated climate projections: a case study with RCP and SSP scenarios

  • 期刊论文

  • 发表日期：

    2025年3月6日

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  • Shweta Kodihal,
  • M. P. Akhtar

摘要

Coupled Model Intercomparison Project Phase 6 (CMIP6) is a more advanced climate modeling framework, that includes updated emissions scenarios (Shared Socioeconomic Pathways − SSPs) to their CMIP5 previous generations, which used Representative Concentration Pathways−RCPs. This study assesses groundwater recharge potential zones by using projected rainfall maps derived from both RCP and SSP scenarios. Nine factors, including rainfall, are used to identify these recharge zones. Furthermore, the study identifies the best locations for recharge wells based on the most suitable recharge zones. The delineation results show that, in some cases such as the ‘low risk with average trade-off’, the recharge zones are more refined, with an observed increase in the extent of ‘very-good’ zones, particularly under SSP scenarios. Conversely, scenarios like ‘low-risk with no trade-off’ exhibit minor to no changes in recharge zones across both RCP and SSP scenarios. Furthermore, comparing RCP and SSP scenarios, the number of locations for recharge increases from 13 to 22. These findings emphasize the importance of utilizing developments in climate modeling to improve the precision of groundwater recharge investigations.