Abstract
Water on the earth is in abundance but its distribution is very much uneven on the land surface. Only 2% of the total water is available for use. Due to its distribution and quality, scarcity of portable water will be the major challenge at global level as most of the water available in surface reservoirs and groundwater are affected by various kind of contaminations of various sources. The situation is more aggravated in arid and semi-arid areas. Rajasthan state of India is located in arid & semi-climatic region with poor water quality. Same is the situation in the Bhilwara district located in the central part of the Rajasthan state where availability of water resource is very poor because of quality, quantity, and distribution issues. At the same time demand for potable water is increasing day by day for irrigation, industrial & domestic purposes. The present study is focused on spatial variability of groundwater quality for the Bhilwara district of Rajasthan, India using geospatial techniques. Four important water quality parameters that is Total dissolved solids, Chloride, Nitrate, and Fluoride (TDS, Cl, NO3, and F) has been taken into consideration for assessment of water quality. Data on these parameters have been collected and classified with the standard parameter values as suggested by the BIS standards (ISI 10,500:2012). After data normalization appropriate weights have been given according to the contribution of individual parameter in water quality and a ground Water Quality Index (WQI) is generated. The scale of WQI is categorized into (1) Very Good, (2) Good, (3) Average, and (4) Poor. The analysis indicates that good water quality is associated with high water level, more thickness of alluvium, deep bedrock, more water-saturated strata, good groundwater recharge areas, nearness from the river, etc. The results are verified in the field at appropriate locations supported by interviews of local farmers. Status of water quality shows that the 24.65 and 20.18% area of district cover by the “Very Good” and “Good” quality of water and 33.72% area show the “Average” quality of water while the 21.45% of area is covered by the “Poor” quality of water.
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Abbreviations
- BOD:
-
Biochemical Oxygen Demand
- CGWB:
-
Central Ground Water Board
- COD:
-
Chemical Oxygen Demand
- CCME WQI:
-
Canadian Council of Ministers of the Environment Water Quality Index
- DO:
-
Dissolved Oxygen
- EC:
-
Electrical Conductivity
- GPS:
-
Global Positioning System
- IDW:
-
Interpolated Distance Weightage
- NSFWQI:
-
National Sanitation Foundation Water Quality Index
- NRSC:
-
National Remote Sensing Centre
- OWQI:
-
Oregon Water Quality Index
- TH:
-
Total Hardness
- TDS:
-
Total Dissolved Solids
- WQI:
-
Water Quality Index
- WHO:
-
World Health Organization
References
Al-Adamat R (2017) Modelling surface water susceptibility to pollution using GIS. J Geogr Inf Syst 9(03):293
Bazargan-Lari MR et al (2009) A conflict-resolution model for the use of surface and groundwater resources that considers water-quality issues: a case study. Environ Manage 43(3):470
Bredehoeft JD, Young RA (1983) Conjunctive use of groundwater and surface water for irrigation agriculture: risk aversion. Water Resour Res 19(5):1111–1121
Chang N-B, Hong Y (2012) Multiscale hydrologic remote sensing: perspectives and applications. CRC Press, Taylor and Francis. ISBN No.: 1439877459
Chapagain AK et al (2006) The water footprint of cotton consumption: an assessment of the impact of worldwide consumption of cotton products on the water resources in the cotton producing countries. Ecol Econ 60(1):186–203
Chaudhary BS et al. (1996) Applications of remote sensing and geographic information systems in ground water (Investigations in Sohna Block, Gurgaon District (India). Int Arch Photogr Remote Sens 31:18–23
Chen Y et al. (2014) GIS and remote sensing in hydrology, water resources and environment. International Association of Hydrological Sciences Press, ISBN No.: 1901502724
Claude R et al. (2005) Remote sensing in northern hydrology: measuring environmental change. American Geophysical Union Press. ISBN No.: 0875904289
Drever JI (2005) Surface and ground water, weathering, and soils: treatise on geochemistry, vol 5. Elsevier
Elamassi KS (2012) Assessment of groundwater quality using multivariate and spatial analyses in Gaza governorate-Palestine. The Islamic University-Gaza, p 106
Engman ET, Gurney RJ (1991) Remote sensing in hydrology. Springer Press. ISBN No.: 9401066701
Fares A (2016) Emerging issues in groundwater resources. Springer Press. ISBN No.: 3319320068
Government of India Ministry of Water Resources Central Ground Water Board (2013) Groundwater Scenrio Bhilwara District, Meja Dam, Bhilwara, Western Region Jaipur
Government of India Ministry of Water Resources, River Development & Ganga Rejuvenation Central Ground Water Board (2017) Central Ground Water Board Western Region Jaipur
Ground Water Department (2013) Rajasthan “Hydrogeological Atlas of Rajasthan Bhilwara District
Gumindoga W et al (2018) Effect of landcover/land-use changes on water availability in and around Ruti Dam in Nyazvidzi catchment Zimbabwe. Water SA 44(1):136–145
Hussain J et al (2013) Fluoride contamination in groundwater of central Rajasthan, India and its toxicity in rural habitants. Toxicol Environ Chem 95(6):1048–1055
Indian Standard for Drinking Water-Specification (1991) IS 10500
Ji W (2007) Wetland and water resource modeling and assessment: a watershed perspective. CRC Press, Taylor and Francis. ISBN No.: 1420064142
Johnson LE (2008) Geographic information systems in water resources engineering. CRC Press, Taylor and Francis
Kaur R, Singh RV (2011) Assessment for different groundwater quality parameters for irrigation purposes in bikaner city, Rajasthan. J Appl Sci Environ Sanitation 6(3).
Khanna RK et al (2008) Solar still an appropriate technology for potable water need of remote villages of desert state of India Rajasthan. Desalination 220(1–3):645–653
Krishan G et al. (2016) Assessment of water quality index (WQI) of groundwater in Rajkot district, Gujarat, India. Earth Sci Clim Change 7(3)
Kumar R et al (2005) Water resources of India. Curr Sci 89(5):794–811
Al-Mamun et al. (2009) Improvement of existing water quality index in Selangor, Malaysia
Lumb A et al (2011) A review of genesis and evolution of water quality index (WQI) and some future directions. Water Qual Expo Health 3(1):11–24
Meena PL et al (2016) Determination of hydro-chemical characteristics of ground water for assessment of quality for drinking and other domestic purposes in North East Bhilwara, Rajasthan, India. Eur J Adv Eng Technol 3(9):20–27
Michelle K et al. (2006) Exploring water resources: GIS investigation for the earth sciences. ArcGIS Edition, Brooks Cole Press. ISBN No.: 0495115126
Mishra P et al. (2014) Assessment of groundwater quality of Lalitpur District, Uttar Pradesh using GIS mapping. IOSR J Environ Sci Toxicol Food Technol (IOSR-JESTFT) e-ISSN: 2319–2402, pp ISSN: 2319–2399.vol 8, Issue 12 Ver. IV
Mujumdar PP et al. (2001) Floods in a changing climate: hydrologic modeling. Cambridge University Press. ISBN No.: 1107033276
Munoth P et al (2015) Fluoride and nitrate groundwater contamination in Rajasthan. Hydro international, India, p 20
Musy A et al. (2014) Hydrology: a science for engineers. CRC Press, Taylor and Francis. ISBN No.: 1466590599
Nikam NG et al (2015) Optimal operation of multipurpose reservoir for irrigation planning with conjunctive use of surface and groundwater. J Water Resour Prot 7(8):636
Noori MJ et al (2014) Spatial estimation of rainfall distribution and its classification in Duhok governorate using GIS. J Water Resour Prot 6(2):75
O'Mara G (1988) Efficiency in irrigation: the conjunctive use of surface and groundwater resources. The World Bank
Pandey N et al. (2016) Analysis of spatial interpolation techniques for rainfall data using various methods: a case study of Bisalpur Catchment Area. In: NCACE-2016 conference proceedings, international journal of engineering research & technology (IJERT)
Peranginangin N et al (2004) Water accounting for conjunctive groundwater/surface water management: case of the Singkarak-Ombilin River basin, Indonesia. J Hydrol 292(1):1–22
Prashant K et al. (2016) Geospatial technology for water resources application. CRC Press, Taylor and Francis. ISSN No.: 9781498719681
Ramesh H et al. (2012) Conjunctive use of surface water and groundwater for sustainable water management. INTECH Open Access Publisher
Rathore MS et al (2005) Groundwater exploration and augmentation efforts in Rajasthan: A review. Institute of Development Studies, Jaipur
Rwanga SS, Ndambuki JM (2017) Approach to quantify groundwater recharge using gis based water balance model: a review
Schoups G et al. (2006) Reliable conjunctive use rules for sustainable irrigated agriculture and reservoir spill control. Water Resour Res 42(12)
Schoups G et al. (2006b) Reliable conjunctive use rules for sustainable irrigated agriculture and reservoir spill control. Water Res Res 42(12)
Schultz GA, Engman ET (2000) Remote sensing in hydrology and water management. Springer Press. ISBN No.: 3642640362
Sehgal KK et al (1960) Rajasthan district gazetteers Bhilwara. Government of Rajasthan, Jaipur, p 1975
Sekar I, Randhir TO (2007) Spatial assessment of conjunctive water harvesting potential in watershed systems. J Hydrol 334(1):39–52
Shah KA, Joshi GS (2017) Evaluation of water quality index for River Sabarmati, Gujarat, India. Appl Water Sci 7(3):1349–1358
Shankar K et al (2010) GIS based groundwater quality mapping in Paravanar river sub-basin, Tamil Nadu, India. Int J Geomatics Geosci 1(3):282
Sharma PK et al (2015) Characterization of groundwater quality of Tonk District, Rajasthan, India using factor analysis. Int J Environ Sci 6:4–2015
Sharma S, Chhipa RC (2016) Seasonal variations of ground water quality and its agglomerates by water quality index. Global J Environ Sci Manage 2(1):79–86
Shishodia A. (1994). Ph.D Thesis, economic and Environmental aspects of conjunctive water use in the Mahi Right Bank Command area, Gujarat.
Siddique-E-Akbor AHM et al (2014) Satellite precipitation data–driven hydrological modeling for water resources management in the Ganges, Brahmaputra, and Meghna Basins. Earth Interact 18(17):1–25
Sirajudeen J, Vahith AR (2014) Applications of water quality index for groundwater quality assessment on Tamil Nadu and Pondicherry, India. J Environ Res Develop 8(3):443
Subramanya K (2013) Engineering hydrology. Published by McGraw Hill Education (India) Private LimitedP-24. ISBN (13): 978-1-25902997-4
Subramoniam SR et al (2011) Estimating variograms of soil salinity properties by Kriging, remote sensing and GIS techniques in Indira Gandhi Nahar Pariyojana irrigation command of Rajasthan, India. Ann Arid Zone 50(2):93–97
Sukumar S, Sankar K (2011) Statistical study on pre & post monsoon variation of groundwater level in Theni district, Tamil Nadu, India. Int J Environ Sci 1(5):798
Thenkabail PS (2015) Remote sensing of water resources, disasters, and urban studies. CRC Press, Taylor and Francis. ISBN No.: 1482217910
Tyagi NK et al. (1995) Modelling conjunctive use of water resources: hydraulic and economic optimization
Tyagi S et al (2013) Water quality assessment in terms of water quality index. Am J Water Resour 1(3):34–38
Van Dijk A, Bos MG (2001) GIS and remote sensing techniques in land and water management. Springer Press. ISBN No.: 940106492X
Waikar ML, Nilawar AP (2014) Identification of groundwater potential zone using remote sensing and GIS technique. Int J Innov Res Sci Eng Technol 3(5):12163–12174
Wang M et al (2017) Comparison of spatial interpolation and regression analysis models for an estimation of monthly near surface air temperature in China. Remote Sensing 9(12):1278
Woessner WW (2000) Stream and fluvial plain ground water interactions: rescaling hydrogeologic thought. Ground Water 38(3):423–429
Yadav AK et al (2010) Water quality index assessment of groundwater in Todarai Singh Tehsil of Rajasthan State, India-A Greener Approach. J Chem 7(S1):S428–S432
Yang CS et al. (2004) Twelve different interpolation methods: A case study of Surfer 8.0. In: Proceedings of the XXth ISPRS congress, vol 35, pp 778–785
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Acknowledgements
The authors are thankful to Birla Institute of Scientific Research (BISR) Jaipur for providing the resources that enabled us to carry out this study. The author also acknowledge the help provided by School of Earth Sciences Banasthali Vidyapith.
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Pandey, N., Sharma, C., Punia, M.P. (2021). Status of Groundwater Water Quality in Bhilwara District of Rajasthan: A Geospatial Approach. In: Sharma, P. (eds) Geospatial Technology and Smart Cities. The Urban Book Series. Springer, Cham. https://doi.org/10.1007/978-3-030-71945-6_24
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