Groundwater recharge is a crucial process for the conservation of water resources, especially in regions with water scarcity. This review aims to evaluate the different methods used to assess groundwater recharge, highlighting the benefits of integrated approaches. Traditional methods such as the water balance method, hydrograph analysis and tracer techniques are discussed alongside modern techniques such as remote sensing, geophysical methods and numerical modeling. By combining these methods, integrated approaches provide a more robust and comprehensive assessment of groundwater recharge. The paper presents case studies from different geographical areas to demonstrate the application and effectiveness of these integrated methods. Technological advances such as GIS, machine learning and IoT sensor networks are explored for their potential to improve groundwater recharge assessment. Environmental and policy implications are discussed, highlighting the importance of sustainable water management and informed policy making. The report identifies current research gaps and suggests future directions to improve the assessment of groundwater recharge. Through this comprehensive analysis, the paper aims to contribute to the development of more accurate and sustainable groundwater management practices.

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Groundwater Recharge Assessment with Integrated Approaches

  • C. Thivya,
  • S. Venkatramanan,
  • K. Radhakrishnan,
  • K. Sivakumar,
  • Karung Phaisonreng Kom,
  • P. Karthick

摘要

Groundwater recharge is a crucial process for the conservation of water resources, especially in regions with water scarcity. This review aims to evaluate the different methods used to assess groundwater recharge, highlighting the benefits of integrated approaches. Traditional methods such as the water balance method, hydrograph analysis and tracer techniques are discussed alongside modern techniques such as remote sensing, geophysical methods and numerical modeling. By combining these methods, integrated approaches provide a more robust and comprehensive assessment of groundwater recharge. The paper presents case studies from different geographical areas to demonstrate the application and effectiveness of these integrated methods. Technological advances such as GIS, machine learning and IoT sensor networks are explored for their potential to improve groundwater recharge assessment. Environmental and policy implications are discussed, highlighting the importance of sustainable water management and informed policy making. The report identifies current research gaps and suggests future directions to improve the assessment of groundwater recharge. Through this comprehensive analysis, the paper aims to contribute to the development of more accurate and sustainable groundwater management practices.