This study analyzed rainfall–runoff estimation for a 60-acre area with significant runoff during the rainy season. Using rain gauge records, data from 2019 to 2023 were analyzed for trends. The runoff coefficient for the selected area was determined, and monthly as well as annual runoff volumes were estimated at various probability levels. Groundwater estimation was done using the infiltration index (ϕ) and infiltration volume, coupled with groundwater investigation through the Schlumberger method using a resistivity meter. From the analysis, it is noted that both runoff and infiltration volumes peaked in 2023, which could be attributed to above-average rainfall compared to previous years. Predicted monthly runoff had a steady increase at lower probability levels, and annual runoff was aligned with the intensity of rainfall. Geophysical surveys indicated that sedimentary rocks dominated the area, with resistivity values ranging from 10 Ω-m to 100 Ω-m, indicating low potential for groundwater recharge. These results point out the difficulties in effective water resource management in sedimentary terrains and the necessity of targeted recharge interventions.

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Estimation of Rainfall–Runoff and Determination of Groundwater by Resistivity Meter: A Case Study

  • Lalitesh Sinha,
  • Devaanshi Jagwani,
  • Manya Madhu,
  • Archana Keerti Chowdhary

摘要

This study analyzed rainfall–runoff estimation for a 60-acre area with significant runoff during the rainy season. Using rain gauge records, data from 2019 to 2023 were analyzed for trends. The runoff coefficient for the selected area was determined, and monthly as well as annual runoff volumes were estimated at various probability levels. Groundwater estimation was done using the infiltration index (ϕ) and infiltration volume, coupled with groundwater investigation through the Schlumberger method using a resistivity meter. From the analysis, it is noted that both runoff and infiltration volumes peaked in 2023, which could be attributed to above-average rainfall compared to previous years. Predicted monthly runoff had a steady increase at lower probability levels, and annual runoff was aligned with the intensity of rainfall. Geophysical surveys indicated that sedimentary rocks dominated the area, with resistivity values ranging from 10 Ω-m to 100 Ω-m, indicating low potential for groundwater recharge. These results point out the difficulties in effective water resource management in sedimentary terrains and the necessity of targeted recharge interventions.