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GIS-based Methodology for Identification of Suitable Locations for Rainwater Harvesting Structures

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Abstract

Presently, the water resources across the world are being continuously depleted. It is essential to find sustainable solutions for this shortage of water. Rainwater harvesting is one such promising solution to this problem. This paper presents a new GIS-based methodology to identify suitable locations for rainwater harvesting structures using only freely available imageries/remote sensing data and data from other sources. The methodology has been developed for the semi-arid environment of Khushkhera-Bhiwadi-Neemrana Investment Region (KBNIR) in Alwar district of Rajasthan. For identifying locations suitable for rainwater harvesting structures, the layers of surface elevation (ASTER-DEM), landuse/landcover, soil map, drainage map and depression map are used and further analyzed for their depression volume, and availability of surface runoff using Soil Conservation Service - Curve Number (SCS-CN) method. Based on the proposed criteria total seven locations were identified, out of which two locations are excellent; three locations are good, (if provisions of overflow structure are made for them) and two locations are not suitable for rain water harvesting. The total rainwater harvesting potential of the study area is 54.49 million cubic meters which is sufficient to meet the water requirements if harvested and conserved properly. This methodology is time-saving and cost-effective. It can minimize cost of earthwork and can be utilized for the planning of cost effective water resource management.

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References

  • Abdulla FA, Al-shareef AW (2009) Roof rainwater harvesting systems for household water supply in Jordan. Desalination 243(1–3):195–207. https://doi.org/10.1016/j.desal.2008.05.013

    Article  Google Scholar 

  • Adham A, Riksen M, Ouessar M, Ritsema C (2016) Identification of suitable sites for rainwater harvesting structures in arid and semi-arid regions: a review. Int Soil Water Conserv Res 4(2):108–120. https://doi.org/10.1016/j.iswcr.2016.03.001

    Article  Google Scholar 

  • FAO 56 (1998) FAO Irrigation and drainage paper 56, food and Agriculture Organisation of United Nations Rome

  • Farreny R, Morales-Pinzón T, Guisasola A, Tayà C, Rieradevall J, Gabarrell X (2011) Roof selection for rainwater harvesting: quantity and quality assessments in Spain. Water Res 45(10):3245–3254. https://doi.org/10.1016/j.watres.2011.03.036

    Article  Google Scholar 

  • Goyal R (2014) Rooftop rainwater harvesting: issues & challenges. Indian plumbing today125 Collector’s Edition, pp 148-161. www.ipt.co.in

  • Gurung TR, Sharma A (2014) Communal rainwater tank systems design and economies of scale. J Clean Prod 67:26–36. https://doi.org/10.1016/j.jclepro.2013.12.020

    Article  Google Scholar 

  • Gwenzi W, Nyamadzawo G (2014) Hydrological impacts of urbanization and urban roof water harvesting in water-limited catchments: a review. Environ Process 1(4):573–593. https://doi.org/10.1007/s40710-014-0037-3

    Article  Google Scholar 

  • IMSD (1995) Technical guidelines, integrated mission for sustainable development, national remote sensing agency (NRSA). Department of Space, Government of India

  • Jasrotia AS, Majhi A, Singh S (2009) Water balance approach for rainwater harvesting using remote sensing and GIS techniques, Jammu Himalaya, India. Water Resour Manag 23:3035–3055. https://doi.org/10.1007/s11269-009-9422-5.

    Article  Google Scholar 

  • Jothiprakash V, Sathe MV (2009) Evaluation of rainwater harvesting methods and structures using analytical hierarchy process for a large scale industrial area. J Water Resour Prot:427–438. https://doi.org/10.4236/jwarp.2009.1

  • Kadam AK, Kale SS, Pande NN, Pawar NJ, Sankhua RN (2012) Identifying potential rainwater harvesting sites of a semi-arid, basaltic region of western India, using SCS-CN method. Water Resour Manag 26(9):2537–2554. https://doi.org/10.1007/s11269-012-0031-3

    Article  Google Scholar 

  • Khanduri K, Singh A, Singh P, Tiwari K (2012) Geomorphic evaluation of valley of flower region Bhyunder ganga catchment, Chamoli District, Uttarakhand using: remote sensing & GIS technology. Earth Sci Res 1(1):114–120. https://doi.org/10.5539/esr.v1n1p114

    Google Scholar 

  • Krois J, Schulte A (2014) GIS-based multi-criteria evaluation to identify potential sites for soil and water conservation techniques in the Ronquillo watershed, northern Peru. Appl Geogr 51:131–142. https://doi.org/10.1016/j.apgeog.2014.04.006

    Article  Google Scholar 

  • Kumar US, Ansari MA, Deodhar A (2013) Isotopic, hydrologic and geomorphologic approach for the rejuvenation of few drying springs in mountainous region of Dhouli Rao and Kandela, Himachal Pradesh, India. Arab J Geosci 7:2667–2677

    Article  Google Scholar 

  • Mishra SK, Kansal AK (2014) A procedure for determination of design runoff curve number for a watershed. J Indian Water Resour Soc 34(3):46–55

    Google Scholar 

  • NRCS (2004) Hydrologic soil-cover complexes, national engineering handbook, part 630 hydrology, chapter 9. Washington, DC:United States Department of Agriculture, Natural Resources Conservation Service

  • Pachpute JS, Tumbo SD, Sally H, Mul ML (2009) Sustainability of rainwater harvesting Systemsin rural catchment of sub-Saharan Africa. Water Resour Manag 23:2815–2839. https://doi.org/10.1007/s11269-009-9411-8

    Article  Google Scholar 

  • Ramakrishnan D, Bandyopadhyay A, Kusuma KN (2009) SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali watershed, Mahi River basin, India. J Earth Syst Sci 118(4):355–368. https://doi.org/10.1007/s12040-009-0034-5

    Article  Google Scholar 

  • Rawat JS, Biswas V, Kumar M (2013) Changes in landuse/landcover using geospatial techniques: a case study of Ramnagar town area, district Nainital, Uttarakhand, India. Egypt J Remote Sens Space Sci 16(1):111–117. https://doi.org/10.1016/j.ejrs.2013.04.002

    Google Scholar 

  • Rejani R, Rao KV et al (2017) Identification of potential rainwater-harvesting sites for the sustainable Management of a Semi-Arid Watershed. Irrig Drain 66:227–237. https://doi.org/10.1002/ird.2101

    Article  Google Scholar 

  • RWRD (2016) Rainfall Data, http://www.water.rajasthan.gov.in/content/water/en.html. Accessed 10 June 2016

  • Sarkar A, Kumar R (2012) Artificial neural networks for event based rainfall-runoff modeling. J Water Resour Prot 4:891–897. https://doi.org/10.4236/jwarp.2012.410105

    Article  Google Scholar 

  • SCS (1956) Hydrology. National Engineering Handbook, Supplement A, Section 4. Soil Conservation Service. US Department of Agriculture, Washington, DC

  • Selvam S, Magesh NS, Chidambaram S, Rajamanickam M, Sashikkumar MC (2015) A GIS based identification of groundwater recharge potential zones using RS and IF technique: a case study in Ottapidaram taluk, Tuticorin district, Tamil Nadu. Environ Earth Sci 73(7):3785–3799. https://doi.org/10.1007/s12665-014-3664-0

    Article  Google Scholar 

  • Selvarani AG, Maheswaran G, Elangovan K (2017) Identification of artificial recharge sites for Noyyal River basin using GIS and remote sensing. J Indian Soc Remote Sens 45(1):67–77

    Article  Google Scholar 

  • Singh RK, Prasad VH, Bhatt CM (2004) Remote sensing and GIS approach for assessment of the water balance of a watershed / evaluation par télédétection et SIG du bilan hydrologique d’un bassin versan. Hydrol Sci J 49(1):131–141. https://doi.org/10.1623/hysj.49.1.131.53997

    Article  Google Scholar 

  • Singh JP, Singh D, Litoria PK (2009) Selection of suitable sites for water harvesting structures in Soankhad watershed, Punjab using remote sensing and geographical information system (RS&GIS) approach- a case study. J Indian Soc Remote Sens 37(1):21–35. https://doi.org/10.1007/s12524-009-0009-7

    Article  Google Scholar 

  • Singh PK, Yaduvanshi BK, Patel S, Ray S (2013) SCS-CN based quantification of potential of rooftop catchments and computation of ASRC for rainwater harvesting. Water Resour Manag 27(7):2001–2012. https://doi.org/10.1007/s11269-013-0267-6

    Article  Google Scholar 

  • Singhal V, Goyal R (2012) A methodology based onspatial distribution of parameters for understanding affect of rainfalland vegetation density on groundwater recharge. Eur J Sustain Dev 1(2):85–96

    Google Scholar 

  • Tiwari K, Khanduri K (2011) Land use / land cover change detection in Doon valley (Dehradun Tehsil), Uttarakhand : using GIS & Remote Sensing Technique. Int J Geomatics Geosci 2(1):34–41

    Google Scholar 

  • Tiwari K, Goyal R, Sarkar A, Munoth P (2015) Integrated water resources management with special reference to water security in Rajasthan, india. Discovery 41(188):93–101

    Google Scholar 

  • UN General assembly report (2004) Resolution adopted by the General Assembly Fifty-eighth session. Agenda item 95

  • USGS (2016) ASTER data, http://earthexplorer.usgs.gov/

  • Weerasinghe H, Schneider UA, Löw A (2011) Water harvest- and storage- location assessment model using GIS and remote sensing. Hydrol Earth Syst Sci Discuss 8:3353–3381. https://doi.org/10.5194/hessd-8-3353-2011

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Acknowledgements

This study has been conducted in the framework of the part of a PhD programme. Authors are thankful of Ministry of Human Resource Development (MHRD) and MNIT to provide scholarship to first author during research period.

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Authors and Affiliations

  1. Department of Civil Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Kuldeep Tiwari & Rohit Goyal

  2. National Institute of Hydrology, Roorkee, Uttarakhand, India

    Archana Sarkar

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  1. Kuldeep Tiwari
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  2. Rohit Goyal
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  3. Archana Sarkar
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Correspondence to Kuldeep Tiwari.

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Tiwari, K., Goyal, R. & Sarkar, A. GIS-based Methodology for Identification of Suitable Locations for Rainwater Harvesting Structures. Water Resour Manage 32, 1811–1825 (2018). https://doi.org/10.1007/s11269-018-1905-9

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