Abstract
Burgeoning population growth and subsequent demand for freshwater, besides competition among irrigation, domestic, and industrial sectors, coupled with a changing climate, have necessitated prudent and effective management of water resources. Rainwater harvesting (RWH) is considered one of the most effective strategies for water management. However, the location and design of RWH structures are essential for proper implementation, operation, and maintenance. An attempt has been made in this study to locate the most suitable site for RWH structure and design using one of the robust multi-criteria decision analysis techniques, viz. analytic hierarchy process, using geospatial tools in the Gambhir watershed, Rajasthan, India. High-resolution Sentinel-2A data and a digital elevation model of the Advanced Land Observation Satellite were used in this study. Five biophysical parameters, viz. land use and land cover, slope, soil texture, surface runoff, and drainage density, were considered to identify suitable locations for RWH structures. It was observed that runoff is the prime factor in determining the location of RWH structures compared to other parameters. It was revealed that 75.54 km2 (13% of the total area) was very highly suited for the construction of RWH structures, while 114.56 km2 (19%) was highly suitable. A total of 43.77 km2 (7%) of land was determined to be unsuitable for the construction of any type of RWH structure. Farm ponds, check dams, and percolation ponds were suggested for the study area. Furthermore, Boolean logic was used to target a particular type of RWH structure. The study indicated that a total of 25 farm ponds, 14 check dams, and 16 percolation ponds can be constructed at identified locations in the watershed. Water resource development maps of the watershed generated using an analytical approach would be useful for policymakers and hydrologists for targeting and implementing RWH structures in the study watershed.
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The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Adham A, Sayl KN, Abed R, Abdeladhim MA, Wesseling JG, Riksen M, ..., Ritsema CJ (2018) A GIS-based approach for identifying potential sites for harvesting rainwater in the Western Desert of Iraq. Int Soil Water Conserv Res 6(4):297–304. https://doi.org/10.1016/j.iswcr.2018.07.003
Agarwal R, Garg PK, Garg RD (2013) Remote sensing and GIS based approach for identification of artificial recharge sites. Water Resour Manage 27(7):2671–2689. https://doi.org/10.1007/s11269-013-0310-7
Ahmad I, Verma MK (2018) Application of analytic hierarchy process in water resources planning: a GIS based approach in the identification of suitable site for water storage. Water Resour Manage 32(15):5093–5114. https://doi.org/10.1007/s11269-018-2135-x
Akter A, Ahmed S (2015) Potentiality of rainwater harvesting for an urban community in Bangladesh. J Hydrol 528:84–93. https://doi.org/10.1016/j.jhydrol.2015.06.017
Al-Adamat R, Diabat A, Shatnawi G (2010) Combining GIS with multicriteria decision making for siting water harvesting ponds in Northern Jordan. J Arid Environ 74(11):1471–1477. https://doi.org/10.1016/j.jaridenv.2010.07.001
Al-Ghobari H, Dewidar AZ (2021) Integrating GIS-based MCDA techniques and the SCS-CN method for identifying potential zones for rainwater harvesting in a semi-arid area. Water 13(5):704. https://doi.org/10.3390/w13050704
Alphonce CB (1997) Application of the analytic hierarchy process in agriculture in developing countries. Agric Syst 53(1):97–112. https://doi.org/10.1016/S0308-521X(96)00035-2
Al-Shamiri A, Ziadat FM (2012) Soil-landscape modeling and land suitability evaluation: the case of rainwater harvesting in a dry rangeland environment. Int J Appl Earth Obs Geoinf 18:157–164. https://doi.org/10.1016/j.jag.2012.01.005
Alwan IA, Aziz NA, Hamoodi MN (2020) Potential water harvesting sites identification using spatial multi-criteria evaluation in Maysan Province. Iraq ISPRS Int J Geo-Inf 9(4):235. https://doi.org/10.3390/ijgi9040235
Ammar 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
Behera MD, Biradar C, Das P, Chowdary VM (2019) Developing quantifiable approaches for delineating suitable options for irrigating fallow areas during dry season—a case study from Eastern India. Environ Monit Assess 191(3):1–18. https://doi.org/10.1007/s10661-019-7697-4
Benítez J, Delgado-Galván X, Izquierdo J, Pérez-García R (2012) Improving consistency in AHP decision-making processes. Appl Math Comput 219(5):2432–2441. https://doi.org/10.1016/j.amc.2012.08.079
Carrasco L, O’Neil AW, Morton RD, Rowland CS (2019) Evaluating combinations of temporally aggregated Sentinel-1, Sentinel-2 and Landsat 8 For land cover mapping with Google Earth Engine. Remote Sens 11(3):288. https://doi.org/10.3390/rs11030288v
CGWB (2017) Report On Aquifer Mapping and Ground Water Management District Karauli, Rajasthan. https://cgwb.gov.in/AQM/NAQUIM_REPORT/Rajasthan/karauli.pdf. Accessed 7 June 2018
Chahal M, Singh O, Bhardwaj P, Ganapuram S (2021) Exploring spatial and temporal drought over the semi-arid Sahibi river basin in Rajasthan, India. Environ Monit Assess 193(11):1–25. https://doi.org/10.1007/s10661-021-09539-4
Chen HY, Luo Y, Reich PB, Searle EB, Biswas SR (2016) Climate change-associated trends in net biomass change are age dependent in western boreal forests of Canada. Ecol Lett 19(9):1150–1158. https://doi.org/10.1111/ele.12653
Chowdary VM, Chakraborthy D, Jeyaram A, Murthy YK, Sharma JR, Dadhwal VK (2013) Multi-criteria decision-making approach for watershed prioritization using analytic hierarchy process technique and GIS. Water Resour Manage 27(10):3555–3571. https://doi.org/10.1007/s11269-013-0364-6
Chowdhury A, Jha MK, Chowdary VM (2009) Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques. Environ Earth Sci 59(6):1209–1222. https://doi.org/10.1007/s12665-009-0110-9
Chowdhury M, Paul PK (2021) Identification of suitable sites for rainwater harvesting using fuzzy AHP and fuzzy gamma operator: a case study. Arab J Geosci 14(7):1–19. https://doi.org/10.1007/s12517-021-06607-4
Critchley W, Siegert K, Chapman C, Finket M (2013) Water harvesting: a manual for the design and construction of water harvesting schemes for plant production. Scientific Publishers. FAO, Rome (1991). https://www.fao.org/docrep/u3160e/u3160e07.htm. Accessed 5 May 2018
Dhakate R, Rao VVS, Raju BA, Mahesh J, Rao ST, Sankaran S (2013) Integrated approach for identifying suitable sites for rainwater harvesting structures for groundwater augmentation in basaltic terrain. Water Resour Manage 27(5):1279–1299. https://doi.org/10.1007/s11269-012-0238-3
Dhorde AG, Patel NR (2016) Spatio-temporal variation in terminal drought over western India using dryness index derived from long-term MODIS data. Eco Inform 32:28–000
Doulabian S, GhasemiTousi E, Aghlmand R, Alizadeh B, Ghaderi Bafti A, Abbasi A (2021) Evaluation of integrating swat model into a multi-criteria decision analysis towards reliable rainwater harvesting systems. Water 13(14):1935. https://doi.org/10.3390/w13141935
Dweiri F, Kumar S, Khan SA, Jain V (2016) Designing an integrated AHP based decision support system for supplier selection in automotive industry. Expert Syst Appl 62:273–283. https://doi.org/10.1016/j.eswa.2016.06.030
Emrouznejad A, Ho W (2017) Fuzzy analytic hierarchy process. CRC Press
Ezzeldin M, Konstantinovich SE, Igorevich GI (2022) Determining the suitability of rainwater harvesting for the achievement of sustainable development goals in Wadi Watir, Egypt using GIS techniques. J Environ Manag 313:114990. https://doi.org/10.1016/j.jenvman.2022.114990
FAO (2003) Land and water digital media series, 26. Training Course on RWH (CD-ROM). Planning of water harvesting schemes, Unit 22. Food and Agriculture Organization: Rome, Italy
Gaaloul N, Eslamian S, Katlane R (2021) Tunisian experiences of traditional water harvesting, conservation, and recharge. Handbook of Water Harvesting and Conservation: Case Studies and Application Examples 171–198. https://doi.org/10.1002/9781119776017.ch12
Haile G, Suryabhagavan KV (2018) GIS-based approach for identification of potential rainwater harvesting sites in Arsi Zone, Central Ethiopia. Model Earth Syst Environ 5(1):353–367. https://doi.org/10.1007/s40808-018-0537-7
Harker PT (1987) Incomplete pairwise comparisons in the analytic hierarchy process. Math Model 9(11):837–848. https://doi.org/10.1016/0270-0255(87)90503-3
Hashim HQ, Sayl KN (2021) Detection of suitable sites for rainwater harvesting planning in an arid region using geographic information system. Appl Geomatics 13(2):235–248. https://doi.org/10.1007/s12518-020-00342-3
Horton RE (1932) Drainage‐basin characteristics. Eos, transactions american geophysical union 13(1):350–361. https://doi.org/10.1029/TR013i001p00350 https://ui.adsabs.harvard.edu/link_gateway/1932TrAGU..13..350H. Accessed 13 Apr 2021
Hussain S, Mubeen M, Karuppannan S (2022) Land use and land cover (LULC) change analysis using TM, ETM+ and OLI Landsat images in district of Okara, Punjab Pakistan. Phys Chem Earth Parts A/B/C 126:103117. https://doi.org/10.1016/j.pce.2022.103117
Ibrahim GRF, Rasul A, Ali Hamid A, Ali ZF, Dewana AA (2019) Suitable site selection for rainwater harvesting and storage case study using Dohuk Governorate. Water 11(4):864. https://doi.org/10.3390/w11040864
Ibrahim-Bathis K, Ahmed SA (2016) Geospatial technology for delineating groundwater potential zones in Doddahalla watershed of Chitradurga district, India. Egypt J Remote Sens Space Sci 19(2):223–234. https://doi.org/10.1016/j.ejrs.2016.06.002
Javed A, Wani MH (2009) Delineation of groundwater potential zones in Kakund watershed, Eastern Rajasthan, using remote sensing and GIS techniques. J Geol Soc India 73(2):229–236. https://doi.org/10.1007/s12594-009-0079-8
Jha MK, Chowdary VM, Kulkarni Y, Mal BC (2014) Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis. Resour Conserv Recycl 83:96–111. https://doi.org/10.1016/j.resconrec.2013.12.003
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 Manage 26(9):2537–2554. https://doi.org/10.1007/s11269-012-0031-3
Kahinda JM, Lillie ESB, Taigbenu AE, Taute M, Boroto RJ (2008) Developing suitability maps for rainwater harvesting in South Africa. Phys Chem Earth Parts A/B/C 33(8–13):788–799. https://doi.org/10.1016/j.pce.2008.06.047
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
Kubler S, Derigent W, Voisin A, Robert J, Le Traon Y, Viedma EH (2018) Measuring inconsistency and deriving priorities from fuzzy pairwise comparison matrices using the knowledge-based consistency index. Knowl-Based Syst 162:147–160. https://doi.org/10.1016/j.knosys.2018.09.015
Kumar T, Jhariya DC (2017) Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and geographical information system techniques. Geocarto Int 32(12):1367–1388. https://doi.org/10.1080/10106049.2016.1213772
Kumar V, Jain SK, Singh Y (2010) Analysis of long-term rainfall trends in India. Hydrol Sci J-J des Sci Hydrologiques 55(4):484–496. https://doi.org/10.1080/02626667.2010.481373
Kurttila M, Pesonen M, Kangas J, Kajanus M (2000) Utilizing the analytic hierarchy process (AHP) in SWOT analysis—a hybrid method and its application to a forest-certification case. Forest Policy Econ 1(1):41–52. https://doi.org/10.1016/S1389-9341(99)00004-0
Li R, Shi Y, Alsaedi M, Wu M, Shi L, Wang P (2018) Hybrid hydrogel with high water vapor harvesting capacity for deployable solar-driven atmospheric water generator. Environ Sci Technol 52(19):11367–11377. https://doi.org/10.1021/acs.est.8b02852
Liu X, Liu W, Tang Q, Liu B, Wada Y, Yang H (2022) Global agricultural water scarcity assessment incorporating blue and green water availability under future climate change. Earth’s Future 10(4):e2021EF002567. https://doi.org/10.1029/2021EF002567
Mahmoud SH, Tang X (2015) Monitoring prospective sites for rainwater harvesting and stormwater management in the United Kingdom using a GIS-based decision support system. Environ Earth Sci 73(12):8621–8638. https://doi.org/10.1007/s12665-015-4026-2
Mahmoud SH, Adamowski J, Alazba AA, El-Gindy AM (2016) Rainwater harvesting for the management of agricultural droughts in arid and semi-arid regions. Paddy Water Environ, 14(1):231–246. https://doi.org/10.1007/s12665-015-4026-2
Mallick J, Khan RA, Ahmed M, Alqadhi SD, Alsubih M, Falqi I, Hasan MA (2019) Modeling groundwater potential zone in a semi-arid region of Aseer using fuzzy-AHP and geoinformation techniques. Water 11(12):2656. https://doi.org/10.3390/w11122656
Matomela N, Li T, Ikhumhen HO (2020) Siting of rainwater harvesting potential sites in arid or semi-arid watersheds using GIS-based techniques. Environ Process 7(2):631–652. https://doi.org/10.1007/s40710-020-00434-7
Mbilinyi BP, Tumbo SD, Mahoo H, Mkiramwinyi FO (2007) GIS-based decision support system for identifying potential sites for rainwater harvesting. Phys Chem Earth Parts A/B/C 32(15–18):1074–1081. https://doi.org/10.1016/j.pce.2007.07.014
Mishra SK, Singh VP, Sansalone JJ, Aravamuthan V (2003) A modified SCS-CN method: characterization and testing. Water Resour Manage 17(1):37–68. https://doi.org/10.1023/A:1023099005944
Misra M, Kumar D, Shekhar S (2020) Assessing machine learning based supervised classifiers for built-up impervious surface area extraction from sentinel-2 images. Urban Forest Urban Green 53:126714. https://doi.org/10.1016/j.ufug.2020.126714
Mitri G, Nader M, Abou Dagher M, Gebrael K (2020) Investigating the performance of sentinel-2A and Landsat 8 imagery in mapping shoreline changes. J Coast Conserv 24(3):1–9. https://doi.org/10.1007/s11852-020-00758-4
Mugo GM, Odera PA (2019) Site selection for rainwater harvesting structures in Kiambu County-Kenya. Egypt J Remote Sens Space Sci 22(2):155–164. https://doi.org/10.1016/j.ejrs.2018.05.003
Naseef TAU, Thomas R (2016) Identification of suitable sites for water harvesting structures in Kecheri River basin. Procedia Technol 24:7–14. https://doi.org/10.1016/j.protcy.2016.05.003
Ossandón Á, Rajagopalan B, Tiwari AD, Thomas T, Mishra V (2022) A Bayesian hierarchical model combination framework for real‐time daily ensemble streamflow forecasting across a rainfed river basin. Earth’s Future e2022EF002958.https://doi.org/10.1029/2022EF002958
Panda A, Sahu N (2019) Trend analysis of seasonal rainfall and temperature pattern in Kalahandi, Bolangir and Koraput districts of Odisha, India. Atmos Sci Lett 20(10):e932. https://doi.org/10.1002/asl.932
Ponce VM, Hawkins RH (1996) Runoff curve number: has it reached maturity? J Hydrol Eng 1(1):11–19. https://doi.org/10.1061/(ASCE)1084-0699(1996)1:1(11)
Rais S, Javed A (2014) Identification of artificial recharge sites in Manchi Basin, Eastern Rajasthan (India) using remote sensing and GIS techniques. J Geogr Inf Syst 6:162–175. http://www.scirp.org/journal/PaperInformation.aspx?PaperID=44992. Accessed 22 Feb 2018
Rajasekhar M, Gadhiraju SR, Kadam A, Bhagat V (2020) Identification of groundwater recharge-based potential rainwater harvesting sites for sustainable development of a semiarid region of southern India using geospatial, AHP, and SCS-CN approach. Arab J Geosci 13(1):1–19. https://doi.org/10.1007/s12517-019-4996-6
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 118:355–368. https://doi.org/10.1007/s12040-009-0034-5
Riaz F, Riaz M, Arif MS, Yasmeen T, Ashraf MA, Adil M, Fahad S (2020) Alternative and non-conventional soil and crop management strategies for increasing water use efficiency. In Environment, climate, plant and vegetation growth (pp. 323–338). https://doi.org/10.1007/978-3-030-49732-3_13
Rodell M, Velicogna I, Famiglietti JS (2009) Satellite-based estimates of groundwater depletion in India. Nature 460(7258):999–1002. https://doi.org/10.1038/nature08238
Rodriguez VS, Mokrova N (2020) Spatial analysis methodologies using multicriteria evaluation approaches. Mag Civ Eng 7:9902–9902
Saaty T (1980) The analytic hierarchy process (AHP) for decision making. In Kobe, Japan (pp. 1–69)
Samra JS, Sharda VN, Sikka AK (2002) Water harvesting and recycling. Central Soil & Water Conservation Research & Training Institute
Segarra J, Buchaillot ML, Araus JL, Kefauver SC (2020) Remote sensing for precision agriculture: Sentinel-2 improved features and applications. Agronomy 10(5):641. https://doi.org/10.3390/agronomy10050641
Sethi RR, Ambast SK, Panda B, Das M (2020) Quantification of recharge from the rainwater harvesting structures—a case study in hard rock area of Odisha (India). Sustain Water Resour Manag 6(5):1–12. https://doi.org/10.1007/s40899-020-00443-2
Singh DK, Singh AK (2002) Groundwater situation India: problems and perspective. Int J Water Resour Dev 18(4):563–580. https://doi.org/10.1080/0790062022000017400
Singh LK, Jha MK, Chowdary VM (2017) Multi-criteria analysis and GIS modeling for identifying prospective water harvesting and artificial recharge sites for sustainable water supply. J Clean Prod 142:1436–1456. https://doi.org/10.1016/j.jclepro.2016.11.163
Singh O, Saini D, Bhardwaj P (2021) Characterization of meteorological drought over a dryland ecosystem in north western India. Nat Hazards 109(1):785–826
Singhai A, Das S, Kadam AK, Shukla JP, Bundela DS, Kalashetty M (2019) GIS-based multi-criteria approach for identification of rainwater harvesting zones in upper Betwa sub-basin of Madhya Pradesh, India. Environ Dev Sustain 21(2):777–797. https://doi.org/10.1007/s10668-017-0060-4
Tiwari K, Goyal R, Sarkar A (2018) GIS-based methodology for identification of suitable locations for rainwater harvesting structures. Water Resour Manage 32(5):1811–1825. https://doi.org/10.1007/s11269-018-1905-9
Toosi AS, Tousi EG, Ghassemi SA, Cheshomi A, Alaghmand S (2020) A multi-criteria decision analysis approach towards efficient rainwater harvesting. J Hydrol 582:124501. https://doi.org/10.1016/j.jhydrol.2019.124501
Tsiko RG, Haile TS (2011) Integrating geographical information systems, fuzzy logic and analytical hierarchy process in modelling optimum sites for locating water reservoirs. A case study of the Debub District in Eritrea. Water 3(1):254–290. https://doi.org/10.3390/w3010254
White RE (2005) Principles and practice of soil science: the soil as a natural resource. John Wiley & Sons
World Bank (2016) High and dry: Climate change, water, and the economy. The World Bank
Wu RS, Molina GLL, Hussain F (2018) Optimal sites identification for rainwater harvesting in northeastern Guatemala by analytical hierarchy process. Water Resour Manage 32(12):4139–4153. https://doi.org/10.1007/s11269-018-2050-1
Yazar A, Kuzucu M, Celik I, Sezen SM, Jacobsen SE (2014) Water harvesting for improved water productivity in dry environments of the Mediterranean region case study: pistachio in Turkey. J Agron Crop Sci 200(5):361–370. https://doi.org/10.1111/jac.12070
Zhang TX, Su JY, Liu CJ, Chen WH (2019) Potential bands of sentinel-2A satellite for classification problems in precision agriculture. Int J Autom Comput 16(1):16–26. https://doi.org/10.1007/s11633-018-1143-x
Ziadat F, Bruggeman A, Oweis T, Haddad N, Mazahreh S, Sartawi W, Syuof M (2012) A participatory GIS approach for assessing land suitability for rainwater harvesting in an arid rangeland environment. Arid Land Res Manag 26(4):297–311. https://doi.org/10.1080/15324982.2012.709214
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Conceptualization: Kishor Gavhane, Dr. Anil Kumar Mishra, Dr.Arjamadatta Sarangi, Dr. D. K. Singh.
Data curation: Kishor Gavhane, Dr. Anil Kumar Mishra.
Formal analysis: Kishor Gavhane, Dr. Anil Kumar Mishra, Dr. SusamaSudhishri.
Investigation: Kishor Gavhane, Dr. Anil Kumar Mishra.
Methodology: Kishor Gavhane, Dr. Anil Kumar Mishra, Dr. Arjamadutta Sarangi.
Project administration; Dr. Anil Kumar Mishra, Dr. D. K. Singh.
Resources: Dr. Anil Kumar Mishra, Dr. Arjamadutta Sarangi, Dr. D. K. Singh, Dr. SusamaSudhishri.
Software: Dr. Arjamadutta Sarangi, Kishor Gavhane.
Supervision: Dr. Anil Kumar Mishra, Dr. Arjamadutta Sarangi, Dr. D. K. Singh.
Validation: Kishor Gavhane, Dr. Anil Kumar Mishra.
Visualization: Kishor Gavhane, Dr. Anil Kumar Mishra.
Roles/writing—original draft: Kishor Gavhane.
Writing—review and editing: Dr. Anil Kumar Mishra, Dr. Arjamadutta Sarangi.
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Gavhane, K.P., Mishra, A.K., Sarangi, A. et al. Targeting of rainwater harvesting structures using geospatial tools and analytical hierarchy process (AHP) in the semi-arid region of Rajasthan (India). Environ Sci Pollut Res 30, 61682–61709 (2023). https://doi.org/10.1007/s11356-023-26289-7
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DOI: https://doi.org/10.1007/s11356-023-26289-7