Abstract
Urbanization and industrialization are responsible for pollution of streams, dilapidation of grounds and weakened air property in environment. Quality indicators are used towards estimate of the conditions of these media. The proposed work is working on assessment of the water quality index (WQI) for the groundwater of Jafrabad taluka, Dist Jalna. Jafrabad taluka is surrounded by Purna River. At Takarkheda Bhagile village,Tq. Deogaoraja, Dist.Buldhana, Khadakpurna dam is sited over Purna River and backwater of this dam up-to 30 km from the dam location which cover south-east location of Jafrabad taluka. Agriculture Water, Drinking Water, Industry Water, Daily Need Water is supplied from this backwater. Green algae are major problem of this backwater. In agriculture field, used of fertilizer and pesticide is more so this source is affected. Public releases of household sewage, in-appropriate waste structure, public excretion, septic tanks, soak pits, contaminated water pools and unorganized solid waste dumping are sources of city water contamination. The practical approach of this study is to assess the influence of anthropogenic movements on groundwater quality. To identify the groundwater probable geographical zone for drinking water construction using GIS is one role of this study. Collection of groundwater samples and subjecting the samples to a comprehensive physicochemical analysis is stage of this research. The extreme cost of WQI has been discovered to be primarily from the higher values of iron, nitrate, total dissolved solids, hardness, fluorides, bicarbonate and manganese in the groundwater. The results of investigations have been worked to indicate prototypes for expecting water quality. Fuzzy expert scheme becomes feasible to merge certitude points for appropriateness of water based on an authorized factor. Fuzzy logic gives an effective and beneficial mechanism for sorting intake water excellence built on inadequate studies.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Golekar, R.B., Bartakke, V.V., Patil, S.N., Baride, M.V.: Groundwater quality assessment from Tarali river sub basin of Krishna, Western Maharashtra (India). Int. J. Adv. Geosci. 2, 8–12 (2014)
Golekar, R.B., Baride, M.V., Patil, S.N.: Geomedical health hazard due to groundwater quality from Anjani – Jhiri River Basin, Northern Maharashtra, India. Int. Res. J. Earth Sci. 2(1), 1–14 (2014). ISSN 2361–2567
Yilmaz, I.: Fuzzy evaluation of water quality classification. Ecol. Ind. 7, 710–718 (2007)
BIS 10500, Drinking Water Standard, New Delhi (1991). http://bis.org.in/bis/html/10500.html
Yammani, S.: Groundwater quality suitable zones identification: application of GIS, Chittoor Ara, Andhra Pradesh, India. Environ. Geol. 53(1), 201–210 (2007). https://doi.org/10.1007/s00254-006-0634-1
Shakhovska, N. (ed.): Advances in intelligent systems and computing. AISC, vol. 512. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-45991-2
Paithane, P.M., Kakarwal, S.N., Kurmude, D.V.: Top-down method used for pancreas segmentation. Int. J. Innov. Exploring Eng. (IJITEE) 9(3), 1790–1793 (2020). ISSN 2278–3075
Silvert, W.: Fuzzy indices of environmental conditions. Ecol. Model. 130, 111–119 (2000)
Lion, S.M., Lo, S.L., Hu, C.Y.: Application of two stage fuzzy set theory to river quality evaluation in Taiwan. Water Res. 37, 1406–1416 (2003)
Giusti, E., Marsili-Libelli, S., Mattioli, S.: A fuzzy quality index for the environmental assessment of a restored wetland. Water Science & Technology (2011). chnologyater
Nidhi Mishra, P.J.: Fuzzy expert system for drinking water quality index. Recent Research in science and Technology (2014)
Roveda, R., Henrique, A.: Development of a water quality index using a fuzzy logic: a case study for the sorocaba river. IEEE (2010)
Paithane, P.M., Kinriwala, S.A.: Automatic determination number of cluster for NMKFC means algorithms on image segmentation. IOSR J. Comput. Eng. (IOSR-JCE) 17, 12–19 (2015)
Paithane, P.M., Kakarwal, S.N.: Automatic determination number of cluster for multi kernel NMKFCM algorithm on image segmentation. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds.) ISDA 2018. AISC, vol. 941, pp. 870–879. Springer, Cham (2019). Doi: https://doi.org/10.1007/978-3-030-16660-1_85
Patil, S.N., Kachate, N.R., Ingle, S.T.: Estimation of Dar-Zarrouk parameter for groundwater exploration in parts of Chopada Taluka, Jalgao District Maharashtra. J. Ind. Geophys. Union 22(4), 425–435 (2018)
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 paper
Cite this paper
Wagh, S.J., Paithane, P.M., Patil, S.N. (2022). Applications of Fuzzy Logic in Assessment of Groundwater Quality Index from Jafrabad Taluka of Marathawada Region of Maharashtra State: A GIS Based Approach. In: Abraham, A., et al. Hybrid Intelligent Systems. HIS 2021. Lecture Notes in Networks and Systems, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-030-96305-7_33
Download citation
DOI: https://doi.org/10.1007/978-3-030-96305-7_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-96304-0
Online ISBN: 978-3-030-96305-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)