International Journal of Current Research and Review
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IJCRR - 9(11), June, 2017

Pages: 10-15

Date of Publication: 12-Jun-2017


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Water Quality Assessment of Pit-Lakes in Raniganj Coalfields Area, West Bengal, India

Author: Debnath Palit, Debalina Kar, Sharmila Roychoudhury, Aparajita Mukherjee

Category: General Sciences

Abstract:Aim: The aim of the study was to monitor the water quality of ten pitlakes which were located in Raniganj coal field area, West Bengal for three successive seasons during April 2014 to March 2015.
Methodology: In this study, physicochemical parameters of water samples were analyzed following standard methods. Statistical analyses were used to indicate the role of each parameter.
Result: Significant positive correlation was noted within hardness and chloride. The nature of the pitlakes is generally alkaline. A mean value of pH 7.65 were recorded which ranged between 6.70 and 9.10 during the study period. Significant variation found among other parameters of pitlakes. PCA reveals three most important and key influential parameters \? Hardness, Chloride and Nitrate Nitrogen content of pitlake water.
Conclusion: This observation indicates that mine waters differ in its composition with seasonal changes and having capability to change their nature with time.

Keywords: Water quality, Pitlakes, Raniganj coal field, Physico-chemical characters

Full Text:

INTRODUCTION

The opencast coal extraction method is one of the best and appropriate in the mining industries of India resulting into a void or pit which is eventually filled up by surface runoff and groundwater seepage becoming a pit-lake, the potential water reservoir (Ghosh, 2012). In India, coal is a major resource and most important primary source of energy. Coal mining activities changes drastically different sectors of our environment. The major environmental impacts on the surrounding areas and on human health are well documented by several authors’ in different times (Dhar, 1993; Ripley et al., 1996; Peplow and Edmonds, 2002; Younger, 2004; Pal et al., 2013).

Pit lakes have unique physical property than other water body. Nevertheless, pit lake waters often constitute a vast resource but of limited beneficial use (due to water quality issues); with a potential to contaminate regional surface and ground water resources (Kumar et al., 2009). Their value as resources for recreation, fisheries, water supply, and wildlife habitat depends mostly on their topography, their safety. Pit lakes may have long-term benefits as a water source for industrial activities rather than relying on natural systems. Several records were available on the assessment of the water quality of different pitlakes in India (Ghosh et al., 2005; Singh et al., 2009 and Singh et al., 2010)

Thus quality assessments of selected pit lakes in RCF has been carried out during 2014 -2015 in order to assess the present hydrological conditions, bio-profile and efficacy to evolve strategies for an ecological restoration, conservation and management.

MATERIALS AND METHODS

Study area

Raniganj Coalfield is the birth place of coal mining in the country. Area of Raniganj Coalfield is 1530 Km-2 spreading over Burdwan, Birbhum, Bankura and Purulia Districts in West Bengal and Dhanbad District in Jharkhand. Heart of Raniganj Coal Field (RCF) is, however, in Burdwan District bounded by Ajoy River in North and Damodar River in South. On the basis of geographic distribution and use pattern, 10 pitlakes were selected for studying the physico- chemical properties of their water in premonsoon, monsoon and post-monsoon, comprising the three principal seasons of a year.

Water sample analysis

Water samples were collected from 10 pitlakes in premonsoon, monsoon and post-monsoon seasons during 2014-2015 using standard protocols and guidelines. The value of each parameter was expressed as mean with standard deviations in the results.

Tests for physicochemical parameters of water samples were performed by following standard methods given by American Public Health Association (APHA, 2005) and Black (1965).

Statistical analysis

Statistical analyses were performed using the statistical package XLSTAT (Addinsoft, 2010). Graphs are drawn using Sci DAvis 1.D005 (Benkert et. al. 2014).

RESULTS

The physic-chemical variables of the ten selected mine pit lakes (PL01, PL02, PL03, PL04, PL05, PL06, PL07, PL08, PL09, PL10) water are represented as the annual mean along with standard deviations, minimum and maximum value in Table 2.

 A mean value of pH 7.65 were recorded which ranged between 6.70 (Western Kajora pitlake) to 9.10 (Real Kajora) during the study period. With a mean value of 0.250 µS/cm the maximum value for conductivity was recorded in PL16 (1.024 µS/cm) and minimum was recorded in PL25 (0.062 µS/cm). The highest value of alkalinity (48 mg/L) was recorded in PL 26 (Chakrambati) with the lowest value (3mg/L) in PL 17 (Khadan kali) respectively. Total hardness value varied between 58 mg/L (Babuisol Colony) to 278 mg/L (Chakrambati) with a mean value of 156.43 mg/L. Chloride concentration ranged between 9.92 mg/L (Babuisol colony) to 69.97 mg/L (Chakrambati) with a mean value of 33.11 mg/L.  Nitrate Nitrogen value varied between 0.01 mg/L to 109.20 mg/L with a mean value of 22.26 mg/L.  Highest value of Phosphate phosphorous (24.58 mg/L) was recorded in Western Kajora pitlake with the lowest value (0.08 mg/L) in Babuisol colony respectively. The variation of water parameters according to seasonal mean value in different pitlakes are shown in Figure 1 to 7.

Correlation Coefficients computed among the chemical parameters of ten pit lakes showed in Table 3. Significant positive correlation was noted within hardness and chloride. Total hardness is also positively correlated with alkalinity in pit lakes. Positive correlations of chloride and alkalinity were also revealed.

Principal components analysis is a multivariate data analytic technique. It reduces a large number of variables to a small number of variables, without sacrificing too much of the information. The PCA was used to reduce water chemical parameters (variables).The contribution of the variables (%) and squared cosines of the variables of PCA analysis is represented in Table 4 and 5.

Figure 1 depicts the dendrogram plot derived from AHC analysis depending on the water quality variables. Three clusters shows the similarity above 90% among the pitlakes they include i.e. Cluster 1 and 2 contain PL 5, 6, 7, 8 and PL 2, 3, 9 having similar limno-chemical environment.

DISCUSSIONS

Variation of physicochemical parameters of ten pitlakes of Raniganj coalfield found with their mean value. Similar findings were also reported by (Palit et al., 2014; Singh, 2006). PCA reveals three most important and key influencial parameters – Hardness, Chloride and Nitrate Nitrogen content of pitlake water. Parameters are positively correlated that indicate their effect on water quality. Hierarchical clustering designates similarity and dissimilarity among pitlakes in respect to their physicochemical parameters. These may be due to the site specific complex hydrological and biological interactions which naturally occur in these ecosystems (Soni, 2007; Kido et al, 2009).

CONCLUSION

Based on the results of present studies of the pitlakes of Raniganj coalfield it can be concluded that water quality shows a prominent change in their quality. It revealed that all pitlakes changes with seasonal variation. Such changes were found in pH, Cnductivity, Alkalinity, Hardness, Chloride, Nitrate nitrogen and Phosphate phosphorous also. Major factors indicate that pitlake water quality have the potentiality to improve and restore itself with due course of time.

ACKNOWLEDGEMENT

Authors express their deep sense of gratitude to Department of Science and Technology, Government of West Bengal for financial support. Authors acknowledge the immense help received from the scholars whose articles are cited and included in references of this manuscript. The authors are also grateful to authors/ editors/ publishers of all those articles, journals and books from where the literature for this article has been reviewed and discussed.

CONFLICT OF INTEREST

As an author we do not have any conflict of interest in the present communication.

References:

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List of Awardees

A Study by Ese Anibor et al. "Evaluation of Temporomandibular Joint Disorders Among Delta State University Students in Abraka, Nigeria" from Vol 13 issue 16 received Emerging Researcher Award


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