Abstract
Jalgaon District falls in the northwestern region of Maharashtra state in India. Groundwater is a primary source for drinking and irrigation in this region. The study aims at identifying the various parameters affecting groundwater of Jalgaon District and demarcates vulnerable zones using weighted overlay analysis with the application of geographic information system (GIS) and remote sensing (RS). This study has primarily understood groundwater depletion trends, and eight parameters such as distance from major residential area, distance from major roads, LULC, slope, drainage density, rainfall, net groundwater recharge, and average groundwater level which have been identified are responsible for groundwater vulnerability. The subordinate stage was to assign weights to the parameters by the Delphi technique.
Further, using weighted overlay analysis, eight thematic maps were generated and superimposed to demarcate vulnerable areas. The results show that 17% of the total study area is under high or more vulnerability zones. Vulnerability within the region increases while moving toward the north of the study region. The southern part is under very low to low vulnerability, the central part is under low to moderate vulnerability, and the northern part of the district comes under the high vulnerability zone. Suggestions have been provided for the immediate improvement of the highly vulnerable groundwater zones.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Almodaresi SA, Mohammadrezaei M, Dolatabadi M, Nateghi MR (2019) Qualitative analysis of groundwater quality indicators based on Schuler and Wilcox diagrams: IDW and Kriging models. J Environ Health Sustain Dev 4:903
Arjun PN, Shivaji SD, Madhukar KA (2017) Strategies for water balance and deficit in drought–prone areas of Jalgaon District (MS) India. Int J Eng Res Techno (IJERT) 6:167–171
Aslam RA, Shrestha S, Pandey VP (2018) Groundwater vulnerability to climate change: a review of the assessment methodology. Sci Total Environ 612:853–875
Aydi A (2018) Evaluation of groundwater vulnerability to pollution using GIS-based multi-criteria decision analysis. Groundw Sustain Dev 7:204–211
Basharat M, Shah HR, Hameed N (2016) Landslide susceptibility mapping using GIS and weighted overlay method: a case study from NW Himalayas, Pakistan. Arab J Geosci 9(4):1–19
Bhardwaj K, Mishra V (2021) Drought detection and declaration in India. Water Sec 14:100104
Bhattacharya AK (2010) Artificial groundwater recharge with a special reference to India. Int J Res Rev Appl Sci 4(2):214–221
Bhuiyan C, Singh RP, Kogan FN (2006) Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data. Int J Appl Earth Obs Geoinf 8(4):289–302
Carter TR, Jones RN, Lu X, Bhadwal S, Conde C, Mearns LO et al (2007) New assessment methods and the characterisation of future conditions. In: Climate change 2007: impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 133–171
Central Ground Water Board (CGWB) (2015) Maharashtra district profile. Retrieved from cgwb.gov.in. http://cgwb.gov.in/District_Profile/Maharashtra/Jalgaon.pdf
Cronin AA, Prakash A, Priya S, Coates S (2014) Water in India: situation and prospects. Water Policy 16(3):425–441
David R, Pyne G (2017) Groundwater recharge and wells: a guide to aquifer storage recovery. CRC Press, America
ENVIS Centre: Maharashtra (2015) Climate. Retrieved from mahenvis. http://mahenvis.nic.in/Climate.aspx
Ghazavi R, Babaei S, Erfanian M (2018) Recharge wells site selection for artificial groundwater recharge in an urban area using the fuzzy logic technique. Water Resour Manag 32(12):3821–3834
Ghosh A, Tiwari AK, Das S (2015) A GIS-based DRASTIC model for assessing groundwater vulnerability of Katri Watershed, Dhanbad, India. Model Earth Syst Environ 1(3):1–14
Hallegatte S, Ranger N, Bhattacharya S, Bachu M, Priya S, Dhore K, Farhat Rafique F, Mathur P, Naville N, Henriet F, Patwardhan A, Narayanan K, Ghosh S, Karmakar S, Patnaik U, Abhayankar A, Pohit S, Corfee-Morlot J, Herweijer C (2010) Flood risks, climate change impacts and adaptation benefits in Mumbai: an initial assessment of socio-economic consequences of present and climate change induced flood risks and of possible adaptation options, OECD environment working papers, no. 27. OECD Publishing, Paris
Heynen N, Kaika M, Swyngedouw E (eds) (2006) In the nature of cities: urban political ecology and the politics of urban metabolism, vol 3. Taylor & Francis, Hoboken
INDIA, P (2011) Census of India 2011 provisional population totals. Office of the Registrar General and Census Commissioner, New Delhi
Ingle ST, Patil SN, Mahale NK, Mahajan YJ (2018) Analysing rainfall seasonality and trends in the North Maharashtra region. Environ Earth Sci 77(18):1–12
Janipella R, Quamar R, Sanam R, Jangam C, Jyothi V, Padmakar C, Pujari PR (2020) Evaluation of groundwater vulnerability to pollution using GIS-Based DRASTIC method in Koradi, India—a case study. J Geol Soc India 96(3):292–297
Jha MK, Peiffer S (2006) Applications of remote sensing and GIS technologies in ground water hydrology: past, present, and future. BayCEER, Bayreuth, p 201
Jha MK, Chowdhury A, Chowdary VM, Peiffer S (2007) Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints. Water Resour Manag 21(2):427–467
Jie C, Hanting Z, Hui Q, Jianhua W, Xuedi Z (2013, June) Selecting proper method for groundwater interpolation based on spatial correlation. In: 2013 Fourth international conference on digital manufacturing & automation, IEEE, pp 1192–1195
Kemper KE (2004) Groundwater—from development to management. Hydrogeol J 12(1):3–5
Li Z, Wang K, Ma H, Wu Y (2018, November) An adjusted inverse distance weighted spatial interpolation method. In: Proceedings of the 2018 3rd international conference on communications, information management and network security (CIMNS 2018), pp 128–132
Mallick J, Singh CK, Al-Wadi H, Ahmed M, Rahman A, Shashtri S, Mukherjee S (2015) Geospatial and geostatistical approach for groundwater potential zone delineation. Hydrol Process 29(3):395–418
Mapani BS (2005) Groundwater and urbanisation, risks and mitigation: the case for the city of Windhoek, Namibia. Phys Chem Earth Parts A/B/C 30(11–16):706–711
Mapani BS, Schreiber U (2008) Management of city aquifers from anthropogenic activities: Example of the Windhoek aquifer, Namibia. Phys Chem Earth Parts A/B/C 33(8–13):674–686
Mohan D, Sinha S (2009) Vulnerability assessment of people, livelihoods and ecosystems in the Ganga Basin. World Wildlife Fund, Delhi
Muthuwatta LP, Ahmad MUD, Bos MG, Rientjes THM (2010) Assessment of water availability and consumption in the Karkheh River Basin, Iran—using remote sensing and geo-statistics. Water Resour Manag 24(3):459–484
Nagamallesh G, Mathur RR (2019) Sustainable groundwater resources for environmental management in watershed areas–a case study. Int J Sci Eng Sci 3:68–75
Narasimha Prasad NB (2003) Assessment of groundwater resources in Nileshwar Basin. J Appl Hydrol XVI:52–60
Nobre RCM, Rotunno Filho OC, Mansur WJ, Nobre MMM, Cosenza CAN (2007) Groundwater vulnerability and risk mapping using GIS, modeling and a fuzzy logic tool. J Contam Hydrol 94(3–4):277–292
Palenzuela P, Alarcón-Padilla DC, Zaragoza G (2015) Concentrating solar power and desalination plants: engineering and economics of coupling multi-effect distillation and solar plants. Springer, Cham
Patil N, Suryawanshi D (2017) Water demand in drought-prone areas of Jalgaon district, Maharashtra state: past, present and future. Int J Recent Adv Multidiscip Res 04
Rahman A (2008) A GIS-based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India. Appl Geogr 28(1):32–53
Rose RS, Krishnan N (2009) Spatial analysis of groundwater potential using remote sensing and GIS in the Kanyakumari and Nambiyar basins, India. J Ind Soc Remote Sen 37(4):681–692
Setianto A, Triandini T (2013) Comparison of kriging and inverse distance weighted (IDW) interpolation methods in lineament extraction and analysis. J Appl Geol 5(1):21–29
Sharma M (2021) Groundwater analytics for measuring quality and quantity. In: Geospatial technology and smart cities. Springer, Cham, pp 415–430
Singh CK, Shashtri S, Mukherjee S, Kumari R, Avatar R, Singh A, Singh RP (2011) Application of GWQI to assess the effect of land-use change on groundwater quality in lower Shiwaliks of Punjab: remote sensing and GIS-based approach. Water Resour Manag 25(7):1881–1898
Solomon S (2007, December) IPCC (2007): climate change the physical science basis. In: Agu fall meeting abstracts, vol. 2007, pp U43D-01
Starke P, Göbel P, Coldewey WG (2010) Urban evaporation rates for water-permeable pavements. Water Sci Technol 62(5):1161–1169
Stempvoort DV, Ewert L, Wassenaar L (1993) Aquifer vulnerability index: a GIS-compatible method for groundwater vulnerability mapping. Can Water Resour J 18(1):25–37
Takal JK, Quaye-Ballard JA (2018) Bacteriological contamination of groundwater in relation to septic tanks location in Ashanti Region, Ghana. Cog Environ Sci 4(1):1556197
Tillery BW, Day JA, Hawkins GS, Picker L, Ridky RW (1987) Fresh water. Heath Earth Science. D.C. Heath and Company, Lexington
Ulrich RS, Simons RF, Losito BD, Fiorito E, Miles MA, Zelson M (1991) Stress recovery during exposure to natural and urban environments. J Environ Psychol 11(3):201–230
Wakode HB, Baier K, Jha R, Ahmed S, Azzam R (2014) Assessment of the impact of urbanisation on groundwater resources using GIS techniques-case study of Hyderabad, India. Int J Environ Res 8(4):1145–1158
Acknowledgement
All the authors would like to thank the Groundwater Surveys and Development Agency (GSDA) of Jalgaon for making the groundwater-related data available. The authors also would like to thank all the experts for their quick response to the online questionnaire survey.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Mawale, K., Chhabda, J.K., Petkar, A.S. (2022). Assessment of Groundwater Vulnerability to Climate Change of Jalgaon District (M.S.), India, Using GIS Techniques. In: Chatterjee, U., Akanwa, A.O., Kumar, S., Singh, S.K., Dutta Roy, A. (eds) Ecological Footprints of Climate Change . Springer Climate. Springer, Cham. https://doi.org/10.1007/978-3-031-15501-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-031-15501-7_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-15500-0
Online ISBN: 978-3-031-15501-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)