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Determination of Infiltration Rate and Soil Indices using Double Ring Infiltrometer and Implementing it by GIS and RS for Selected Areas in Zaheerabad, India


  • DCET, Hyderabad - 500001, Telangana, India
  • Department of Civil Engineering, GITAM University, Visakhapatnam - 530045, Andhra Pradesh, India


Background/Objectives: Infiltration is important process due to which rainwater percolates into the soil and moves down to join the groundwater. Methods/Statistical Analysis: There are two methods used for measuring infiltration like indirect method and direct method. In indirect method, infiltrometer, rain simulators are used. Direct method is done by the analysis of runoff hydrograph resulting from natural precipitation. For small watersheds, like milli and micro infiltrometer values and storm hydrograph analysis gives best results. Findings: The infiltration process is affected by surface runoff, ground water recharge and erosion of soil. At a certain moment the infiltration capacity of soil is indicated by maximum infiltration rate. By adopting Ф index, which gives average rate throughout the rainfall, it is well suited for calculating maximum run off from a major storm on wet soils. In this study constant infiltration rates of the soils under different soil conditions were studied, compared with the infiltration rates and were verified with IS code 15792-2008. Because of highest infiltration rate in Malchalma village surface water is available even in summer. It has been proved that maximum infiltration results in excess of ground water. Application/Improvements: It is a strenuous task to measure infiltration in the field. The infiltration rates can be estimated from the proposed model by using ArcGIS 10.2.2 different images have been developed.


GIS and RS, Ground Water, Infiltration, Infiltration Index, Rainfall, Soil Condition.

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  • Kalam MA, Ramesh M. Morphometric analysis of milli watershed area in Zaheerabad. IJEERT. 2015; 3(11):97–101.
  • Kumar MR, Meenambal T, Kumar V. Simulation model for predicting the effects of changes in land use on watershed hydrology. Indian Journal of Science and Technology. 2016 Jan; 9(2):1–12.
  • Thiagarajan S, Ganesan M. Ammonia behaviour in wastewater reclamation by soil aquifer treatment. Indian Journal of Science and Technology. 2015; 8(14):1–10.
  • Kalam MA, Ramesh M. Sediment and runoff analysis of milli watershed area in Zaheerabad. IJEERT. 2016; 4(1):90– 5.
  • Dar IA. Deciphering groundwater potential zones in hard rock terrain using geospatial technology. Environmental Monitoring and Assessment. 2011 Feb; 173(1):597–610.
  • Kalam MA, Ramesh M. Ground water quality assessment of milli watershed area in Zaheerabad. IJAER. 2016; 11(4):2620–4.
  • Das RK. Sediment yield estimation for watershed prioritization: A remote sensing study. Indian Journal of Science and Technology. 2012 Mar; 5(3):1–5.
  • Reddy KR, Murthy RS, Patode RS. Thematic integration approach for watershed and land management. Indian Journal of Science and Technology. 2013 Oct; 6(10):1–6.
  • Yunusa GH, Kassim A, Gofar N. Effect of surface flux boundary conditions on transient suction distribution in homogeneous slope. Indian Journal of Science and Technology. 2014; 7(12):2064–75.
  • Punmia BC. Text book on Irrigation and Water Power Engineering. 2006.
  • Chow. Handbook of Applied Hydrology. 1964.
  • Nassif SH, Wilson EM. The influence of slope and rain intensity on runoff and infiltration. Hydrological Sciences Bulletin. 1975; 20(4):539–53.


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