Evaluation of groundwater quality in the Chotanagpur plateau region of the Subarnarekha river basin, Jharkhand State, India

Gautam, Sanjay K.; Maharana, Chinmaya; Sharma, Divya; Singh, Abhay Kumar; Tripathi, Jayant K.; Singh, Sudhir Kumar

doi:10.1016/j.swaqe.2015.06.001

Cited by 150 publications

(52 citation statements)

References 47 publications

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“…Total hardness is very important parameter in decreasing the toxic effect of poisonous element and important criterion in determining the suitability of water samples for domestic and industrial purposes as it involved in making the water hard (Rawat et al 2012(Rawat et al , 2013Laluraj and Gopinath 2006;Gautam et al 2015;Thakur et al 2013;Thakur et al 2015). Hardness of the water results from the presence of divalent metallic cations of which calcium and magnesium are the most abundant in groundwater.…”

Section: (Th)mentioning

confidence: 99%

“…Concern of groundwater quality in urban and rural areas are reported by many researchers (Singh et al 2012(Singh et al , 2013a(Singh et al , b, 2015Srivastava et al 2013;Gupta et al 2014;Gautam et al 2015;Tharkur et al 2015). Generally ground water quality is affected by many factors such as rainfall, hydrologic fluctuation and climate (Balakrishnan 2008;Kumaresan and Riyazuddin 2005;Singh et al 2009Singh et al , 2015.…”

Section: Introductionmentioning

confidence: 99%

“…The quality of water depends on geology of an area and may vary with depth of water table, seasonal changes, composition of dissolved salts depending upon source of the salt and soil, and subsurface environment etc. (Uphori and Toth 1988;Gautam et al 2015). Statistical analysis and principal component analysis (PCA) has offered a great tool for the identification of such similarities among the variables or samples (Liu et al 2003;Singh et al 2013aSingh et al , b, 2015Singh et al , 2016.…”

Section: Introductionmentioning

confidence: 99%

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Hydrogeochemical characterization of groundwater of peninsular Indian region using multivariate statistical techniques

et al. 2016

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confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hydrogeochemical characterization of groundwater of peninsular Indian region using multivariate statistical techniques

et al. 2016

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“…Water scarcity and over-exploitation of groundwater resources are common in several parts of India (Garg and Hassan 2007;Tiwari et al 2009;Tiwari and Singh 2014). The principal cities and towns in India are facing serious problems related to groundwater-level depletion and groundwater quality deterioration (CGWB 2000(CGWB , 2001Gagan et al 2016;Gautam et al 2015;Krishan et al 2014;Raju et al 2011;Rodell et al 2009;Verma and Singh 2013;Verma et al 2016;Yadav et al 2012). The decreasing water level and the adverse impact of industrial and agricultural activities, mining, urbanization, and global climate change are increasing the pressure on groundwater resources.…”

Section: Introductionmentioning

confidence: 99%

Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India

et al. 2017

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The West Bokaro coalfield is a richest coalmining belt in the Damodar Valley, India. The extensive mining of the area has resulted in disruption of the groundwater availability in terms of both quantity and quality. This has led to a drinking water crisis, especially during the pre-monsoon period in the West Bokaro coalfield area. The characterization of the hydrogeological system and the artificial recharging of the aquifers might help to better manage the problem of the groundwater-level depletion. For this purpose, seven important hydrogeological factors (water depth, slope, drainage, soil, infiltration, lithology, and landuse) have been considered to define the most suitable locations for artificial groundwater recharging in the mining area. Different thematic maps were prepared from existing maps and data sets, remote-sensing images, and field investigations for identification of the most suitable locations for artificial recharge. Thematic layers for these parameters were prepared, classified, weighted, and integrated into a geographic information system (GIS) environment by means of fuzzy logic. The results of the study indicate that about 29 and 31% of the area are very suitable and suitable for recharging purposes in the West Bokaro coalfield. However, the rest of the area is moderate to unsuitable for recharging due to the ongoing mining and related activities in the study area. The groundwater recharging map of the study area was validated with measured electrical conductivity (EC) values in the groundwater, and it indicated that validation can be accepted for the identification of groundwater recharging sites. These findings are providing useful information for the proper planning and sustainable management of the groundwater resources in the study area.

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“…In recent decades, the developing countries are witnessed of water pollution after industrialization, and unprecedented population growth (Singh et al 2013a, b, c, d;Oişte 2014;Thakur et al 2015;Gautam et al 2015). The increasing population around the urban lake has continuously encroached lake area due to demand of land and water (Singh et al 2010) and acts as waste dumping sites which have many adverse effects on humans (Rast ; Mishra and Garg 2011).…”

Section: Introductionmentioning

confidence: 99%

Appraisal of urban lake water quality through numerical index, multivariate statistics and earth observation data sets

Singh

Gautam

2015

Int. J. Environ. Sci. Technol.

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The earth observation data sets were employed to study the land use/land cover change in study area from year 2000-2010. Vegetation, built-up area and agriculture classes had shown maximum changes. The lake water samples were analyzed, and further, Water Quality Index (WQI) was computed to categorize the lake water. The average value of WQI is 64.52, 52.23 and 42.45 in premonsoon, monsoon and post-monsoon seasons, respectively. Generally, pre-monsoon samples have higher number of polluted samples. Moreover, we applied the multivariate statistical techniques for handling large and complex data sets in order to get better information about the lake water quality. Factor analysis and principal component analysis are applied to understand the latent structure of the data sets, and we have identified a total of four factors in pre-monsoon, three factors in monsoon and three factors in post-monsoon season, which are responsible for the whole data structure. These factors have explained that 90.908, 89.078 and 85.456 % of the cumulative percentage variance of the pre-monsoon, monsoon and post-monsoon data sets. Overall analysis reveals that the agricultural runoff, waste disposal, leaching and irrigation with wastewater, land transformation in the surrounding areas are the main causes of lake water pollution followed by some degree of pollution from geogenic sources such as rock weathering. Hence, there is an urgent need of proper attention and management of resources.

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Evaluation of groundwater quality in the Chotanagpur plateau region of the Subarnarekha river basin, Jharkhand State, India

Cited by 150 publications

References 47 publications

Hydrogeochemical characterization of groundwater of peninsular Indian region using multivariate statistical techniques

Hydrogeochemical characterization of groundwater of peninsular Indian region using multivariate statistical techniques

Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India

Appraisal of urban lake water quality through numerical index, multivariate statistics and earth observation data sets

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