Abstract
In recent decades, increasing population activities are a complex task throughout the world. The scarcity of water in southern India is high as compared to the global average. Progressive development of the aquifer system by artificial recharging can be considered as a tool for increasing groundwater resource. The water conservation techniques had been used for increasing groundwater storage in the hard rock. ‘This research focuses on estimation of groundwater recharges using empirical model through artificial recharge structures, which plays a major role to enhance recharge. The groundwater recharge by water table fluctuation is estimated in context of recharge structures. It is an important role as sustainable development of groundwater resources. The normal groundwater renews by an annual rainfall varied from 11 to 16%. The total recharge is estimated 173.12 ha m in which the influence by conservation recharge structures varies from 0.34 to 26.33 which indicates the groundwater storage optimal maintained in the Pappireddipatti watershed (total number of structures is 22), whereas Vaniyar sub-basin groundwater recharge is estimated 530.30 ha m (total number of structures is 138). The performance of artificial recharge structures is to reduce extra surface runoff in the watershed. The optimal performances need to maintain for continuous withdrawal of groundwater through natural and artificial recharge structures. An empirical approach is used for the assessment of the recharge from rainfall with reasonable accuracy on the periodic groundwater recharge in the hard rock aquifer. The rainfall based on Thiessen polygon method was prepared by annual fall from three-gauge station in the watershed. The effective depth of precipitation of the rainfall is 915.31 mm. Hence, the recharge rate could be increased in close to suitable recharge site in the watershed. A GIS approach was utilized to incorporate six contributing variables: lithology, land use/land cover, soil types, geomorphology, drainage, and slope. The outcome of benefits showed that around 72% of the evaluation zone is assigned as good to moderate potential groundwater recharge whereas low bring down potential groundwater energize ranges with poor potential groundwater recharge covers 38% in the area. The outcomes demonstrate that the groundwater recharge potential zone is focusing on sustainable groundwater development. Further, there is improved in water level in low recharge area to moderate recharge with respect to rainfall influence at recharge structures. It confirms the interconnection of the aquifer.
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Ala-aho, P., Rossi, P. M., & Klove, B. (2015). Estimation of temporal and spatial variations in groundwater recharge in unconfined sand aquifers using Scots pine inventories. Hydrology and Earth System Science,19, 1961–1976. https://doi.org/10.5194/hess-19-1961-2015.
Albhaisi, M., Brendonck, L., & Batelaan, O. (2013). Predicted impacts of land use change on groundwater recharge of the upper Berg catchment, South Africa. Water SA,39(2), 211–220. https://doi.org/10.4314/wsa.v39i2.4.
Bhaduri, B., Harbor, J., Engel, B. A., & Grove, M. (2000). Assessing watershed-scale, long-term hydrologic impacts of land use change using a GIS-NPS model. Environmental Management,26(6), 643–658.
Bhattacharjee formula (1954). Annual report of AICRP on groundwater utilization, 2006–07
Bosch, J. M., & Hewlett, J. D. (1982). A review of catchment experiments to determine the effect of vegetation changes on water yield and evapotranspiration. Journal of Hydrology,55(1/4), 3–23.
Brown, T. C., Foti, R., & Ramirez, J. A. (2013). Projected freshwater withdrawals in the United States under a changing climate. Water Resources Research,49, 1259–1276.
CGWB. (2009). Detailed guidelines for implementing the ground water estimation. Methodology, Central Ground Water Board, Ministry of Water Resources, Government of India.
Chatterjee, R., & Purohit, R. R. (2009). Estimation of replenishable groundwater resources of India and their status of utilization. Current Science,96(12), 1581–1591.
Chaturvedi, R. S. (1936). A note on the investigation of ground water resources in western districts of Uttar Pradesh. In Annual Report; U.P. Irrigation Research Institute Bahadrabad, India, 1973, pp. 86–122.
Dams, J., Woldeamlak, S. T., & Batelaan, O. (2008). Predicting land-use change and its impact on the groundwater system of the Kleine Nete catchment, Belgium. Hydrology and Earth System Sciences,12, 1369–1385.
Dhakate, R., Rao, B., Raju, J., Mahesh, S. Rao, & Sankaran, S. (2013). Integrated approach for identifying suitable sites for rainwater harvesting structures for groundwater augmentation in Basaltic Terrain. Water Resources Management: An International Journal,27(5), 1279–1299.
Fetter, C. W. (2001). Applied hydrogeology (4th ed.). Englewood Cliffs, NJ: Prentice Hall.
Freeze, A. R., & Cherry, J. A. (1979). Groundwater (pp. 84–387). Englewood Cliffs, NJ: Prentice Hall Inc.
Gontia, N. K., & Patil, P. Y. (2012). Assessment of groundwater recharge through rainfall and water harvesting structures in Jamka microwatershed using remote sensing and GIS. Journal of the Indian Society of Remote Sensing,40, 639. https://doi.org/10.1007/s12524-011-0176-1.
Groundwater Resource Estimation Methodology. (1997). Report of the Groundwater Resource Estimation Committee (GEC). New Delhi: Central Ground Water Board (CGWB), Ministry of Water Resources, Government of India.
Helweg, O. J. (Ed.). (1985). Role of artificial recharge in groundwater basin management. In Artificial recharge of groundwater books, Chapter 2 (pp. 21–33). California State Water Resources Control Board.
Hornbeck, J. W., Adams, M. B., Corbett, E. S., Verry, E. S., & Lynch, J. A. (1993). Long-term impacts of forest treatments on water yield: a summary for northeastern USA. Journal of Hydrology,150(2–4), 323–344.
Hosseinimarandi, H., Mahdavi, M., Ahmadi, H., Motamedvaziri, B., & Adelpur, A. (2014). Assessment of groundwater quality monitoring network using cluster analysis, Shib-Kuh Plain, Shur watershed, Iran. Journal of Water Resource and Protection,6, 618–624. https://doi.org/10.4236/jwarp.2014.66060.
Jinno, K., Tsutsumi, A., Alkaeed, O., Saita, S., & Berndtsson, R. (2009). Effects of land-use change on groundwater recharge model parameters. Hydrological Sciences Journal,54(2), 300–315. https://doi.org/10.1623/hysj.54.2.300.
Kumar, C. P., & Seethapathi, P. V. (2002). Assessment of natural ground water recharge in upper Ganga canal command area. Journal of Applied Hydrology,15(4), 13–20.
Leterme, B., & Mallants, D. (2011). Climate and land use change impacts on groundwater recharge. In Models: Repositories of knowledge, Proceedings ModelCARE2011 held at Leipzig, Germany, in September 2011. IAHS Publ. 3XX, 201X.
Loveland, P. J., & Whalley, W. R. (1991). Particle size analysis. In K. A. Smith & C. E. Mullins (Eds.), Soil analysis, physical methods. New York: Marcel Dekker inc.
Narjary, B., Kumar, S., Kamra, S. K., Bundela, D. S., & Sharma, D. K. (2014). Impact of rainfall variability on groundwater resources and opportunities of artificial recharge structure to reduce its exploitation in fresh groundwater zones of Haryana. Current Science,107(8), 1305–1312.
Oke, M. O., Martins, O., Idowu, O., & Aiyelokun, O. (2013). Comparative analysis of empirical formulae used in groundwater recharge in Ogun–Oshun river basins. Journal of Scientific Research & Reports,2(2), 692–710.
Ott, B., & Uhlenbrook, S. (2004). Quantifying the impact of land-use changes at the event and seasonal time scale a process-oriented catchment model. Hydrology and Earth System Sciences,8(62–78), 2004.
Pandey, V. P., Shrestha, S., Chapagain, S. K., & Kazama, F. (2011). A framework for measuring groundwater sustainability. Environmental Science & Policy,14(4), 396–407.
Parsa, V. A., Yavari, A., & Nejadi, A. (2016). Spatio-temporal analysis of land use/land cover pattern changes in Arasbaran Biosphere Reserve: Iran. Modeling Earth Systems and Environment,2, 178. https://doi.org/10.1007/s40808-016-0227-2.
Raju, T. S., Agashe, R. M., & Romani, S., (1994). Manual on artificial recharge of ground water. Technical series/Central Ground Water Board. M; no. 3. Central Ground Water Board, Faridabad, 215 pp.
Rao, K. L. (1970). India’s water wealth. Telangana: Orient Longman.
Raposo, J. R., Dafonte, J., & Molinero, J. (2013). Assessing the impact of future climate change on groundwater recharge in Galicia-Costa, Spain. Hydrogeology Journal,21, 459–479. https://doi.org/10.1007/s10040-012-0922-7.
Redlich, C. (2010). Check dam impact assessment, Report by Action for Social advancement (ASA). http://www.asaindia.org.
Renganayaki, S. P., & Elango, L. (2013). A review on managed aquifer recharge by check dams: A case study near Chennai, India. ISSN 2319–1163.
Renganayaki, S. P., & Elango, L. (2018). Quantification of groundwater recharge and river bed clogging by daily water level measurements in a check dam. Arabian Journal of Geosciences,11, 174. https://doi.org/10.1007/s12517-018-3511-9.
Richard, W. H., & Cook, P. G. (2002). Using groundwater levels to estimate recharge. The Geological Society of America. Hydrogeology Journal, 10, 91–109.
Robinson, M., Cognard-Plancq, A. L., Cosandey, C., David, J., Durand, P., Fuhrer, H. W., et al. (2003). Studies of the impact of forests on peak flows and base flows: A European perspective. Forest Ecology,186, 85–97.
Sakthivadivel, R. (2007). The agricultural groundwater revolution: Opportunities and threats to development and the groundwater recharge movement in India. In Comprehensive assessment, Chapter 10 (Vol. 3, pp. 195–210). Wallingford: CABI Publ.
Sashikkumar, M. C., Selvam, S., Lenin Kalyanasundaram, V., & Colins Johnny, J. (2017). GIS based groundwater modeling study to assess the effect of artificial recharge: A case study from Kodaganar river basin, Dindigul District, Tamil Nadu. Journal Geological Society of India,89, 57–64.
Satheeshkumar, S., Venkateswaran, S., & Kannan, R. (2017). Rainfall-runoff estimation using SCS-CN and GIS approach in the Pappireddipatti watershed of the Vaniyar sub basin, South India. Modeling Earth Systems and Environment,3(1), 24. https://doi.org/10.1007/s40808-017-0301-4.
Sethi, R. R., Kumar, A., & Sharma, S. P. (2009). Quantification of groundwater recharge in a hard rock terrain of Orissa: A case study. Water Science & Technology—WST,60(5), 1319–1326.
Sophocleous, M. (2002). Interactions between groundwater and surface water: The state of the science. Hydrogeology Journal,2002(10), 52–67. https://doi.org/10.1007/s10040-001-0170-8.
Stiefel, J. M., Melesse, A. M., McClain, M. E., et al. (2009). Effects of rainwater-harvesting-induced artificial recharge on the groundwater of wells in Rajasthan, India. Hydrogeology Journal,17, 2061. https://doi.org/10.1007/s10040-009-0491-6.
Tang, Z., Engel, B. A., Pijanowski, B. C., & Lim, K. J. (2005). Forecasting land use change and its environmental impact at a watershed scale. Journal of Environmental Management,76, 35–45.
UPIRI Formula (1954). A report by Uttar Pradesh Irrigation Research Institute, Roorkee (1954), (as follows by Kumar, 1996).
Van Ty, T., Sunada, K., Ichikawa, Y., & Oishi, S. (2012). Scenario-based impact assessment of land use/cover and climate changes on water resources and demand: A case study in the Srepok River Basin, Vietnam Cambodia. Water Resources Management,26, 1387–1407. https://doi.org/10.1007/s11269-011-9964-1.
Varni, M., Comas, R., Weinzettel, P., & Dietrich, S. (2013). Application of the water table fluctuation method to characterize groundwater recharge in the Pampa plain, Argentina. Hydrological Sciences Journal,58(7), 1445–1455. https://doi.org/10.1080/02626667.2013.833663.
Venkateswaran, S., Satheeshkumar, S., & Kannan, R. (2016). Land use/land cover change detection and efficacy of artificial recharge structures in Vaniyar Sub Basin of the Ponnaiyar River. South India Using Remote Sensing and GIS Techniques, IJRET. https://doi.org/10.15623/ijret.2016.0530002.
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Satheeshkumar, S., Venkateswaran, S. Influence of groundwater recharge in Vaniyar sub-basin, South India: inference to socioeconomic benefits. Environ Dev Sustain 22, 1211–1239 (2020). https://doi.org/10.1007/s10668-018-0246-4
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DOI: https://doi.org/10.1007/s10668-018-0246-4