Abstract
Once open-pit mining activities are abandoned and dewatering stops, pit lakes emerge. Mining activities started at Raniganj coalfield (RCF) in West Bengal in 1774 during the British East India era, containing about 1306 sq. km. For the last few decades, open-cast mine practice has become increasingly common, and as a result open pit is formed. The main objective of this study is to assess the water quality and landscape dynamics of some selected Pit lakes in RCF, West Bengal, India, with special reference to Andal C.D Block to evaluate the suitability of the pit lake resources in terms of sustainability and socioeconomic aspects. Various physico-chemical parameters (i.e. pH, conductivity, TDS, total alkalinity, total hardness, chloride, nitrate, phosphate, DO and BOD) using pre-monsoon, monsoon and post-monsoon pit lake water sample data, water quality index and geospatial technology adopted to analyse water chemical properties along with their spatial and temporal dimension. Genesis and evolution of these pit lakes are analysed using satellite imagery archive in GIS (Geographic Information System) platform. Spectral indices, land surface temperature and land use/land cover thematic map are prepared in a temporal scale through Landsat satellite imagery (Landsat 5 TM, Landsat7 ETM+ and Landsat8 OLI) using ArcGIS10.1 to gather knowledge about the landscape dynamics surroundings of pit lakes. For the evaluation, the overall hydrological status, landscape dynamics and effectiveness, quality assessments of 12 selected pit lakes in the Andal Block (RCF region) are being carried out to establish approaches for ecological regeneration, management and conservation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Akumtoshi, L. K. R., Singh, M. R., & Puro, N. (2020). Assessment of water quality status of Doyang River, Nagaland, India, using water quality index. Applied Water Science, 10, 46.
American Public Health Association (APHA). (2005). Standard methods for the examination of water and wastewater. APHA-AWWA.
Artis, D. A., & Carnahan, W. H. (1982). Survey of emissivity variability in thermography of urban areas. Remote Sensing of Environment, 12(4), 313–329.
Brown, R. M., McClelIand, N. I., Deininger, R. A., & Tozer, R. G. (1970). A water quality index – Do we dare? Water & Sewage Works, 117, 339–343.
Bureau of Indian Standards, BIS 10500. (2003). Manak Bhavan, New Delhi, India.
Butt, A., Shabbir, R., Ahmad, S. S., & Aziz, N. (2015). Land use change mapping and analysis using remote sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan. Egyptian Journal of Remote Sensing and Space Science, 18(2), 251–259.
Choi, Y., Baek, J., & Park, S. (2020). Review of GIS-based applications for mining: Planning, operation, and environmental management. Applied Sciences, 10, 2266.
Chu, H. J., Liu, C., & Wang, C. (2013). Identifying the relationships between water quality and land cover changes in the Tseng-Wen Reservoir Watershed of Taiwan. International Journal of Environmental Research and Public Health, 10, 478–489.
Davidson, N. C., & Finlayson, C. M. (2007). Earth observation of wetland inventory, assessment and monitoring. Aquatic Conservation: Marine and Freshwater Ecosystems, 17(3), 219–229.
Dennison, W. C., & Orth, R. J. (1993). Assessing water quality with submersed aquatic vegetation. Bioscience, 43, 86–94.
Ding, H., & Shi, W. (2013). Land-use/land-cover change and its influence on surface temperature: a case study in Beijing City. International Journal of Remote Sensing, 34(15), 5503–5517.
Fernald, A., Tidwell, V., Rivera, J., Rodríguez, S., Guldan, S., Steele, C., Ochoa, C., Hurd, B., Ortiz, M., Boykin, K., & Cibils, A. (2012). Modeling sustainability of water, environment, livelihood, and culture in traditional irrigation communities and their linked watersheds. Sustainability, 4(11), 2998–3022.
Gajbhiye, S., & Sharma, S. K. (2013). Land use and land cover change detection of Indra river watershed through remote sensing using multi-temporal satellite data. International Journal of Geomatics and Geosciences, 3(1), 89.
Gajos, M., & Sierka, E. (2012). GIS technology in environmental protection: Research directions based on literature review. Polish Journal of Environmental Studies, 21, 241–248.
Gopalkrushna, M. H. (2011). Determination of physico-chemical parameters of surface water samples in and around Akot city. International Journal of Research in Chemistry and Environment, 1(2), 183–187.
Hu, H. B., Liu, H. Y., Hao, J. F., & An, J. (2012). Analysis of land use change characteristics based on remote sensing and GIS in the Jiuxiang River watershed. International Journal on Smart Sensing and Intelligent Systems, 5(4), 811–823.
Jalal, F. N., & Sanalkumar, M. G. (2013). Water quality assessment of Pampa river in relation to pilgrimage season. International Journal of Research in Chemistry and Environment, 3(1), 341–347.
Khan, A., Khan, H. H., & Umar, R. (2017). Impact of land-use on groundwater quality: GIS-based study from an alluvial aquifer in the western Ganges basin. Applied Water Science, 7(8), 4593–4603.
Khodapanah, L., Sulaiman, W. N. A., & Khodapanah, D. N. (2009). Groundwater quality assessment for different purposes in Eshtehard District, Tehran, Iran. European Journal of Scientific Research, 36(4), 543–553.
Kotadiya Nikesh, G., & Acharya, C. A. (2014). An assessment of lake water quality index of Manipu lake of district Ahmedabad, Gujarat. International Journal of Science and Research, 3(4), 448–450.
Kumar, S. K., Logeshkumara, A., Magesh, N. S., Godson, P. S., & Chandrasekar, N. (2014). Hydrogeochemistry and application of water quality index (WQI) for groundwater quality assessment, Anna Nagar, part of Chennai City, Tamil Nadu, India. Applied Water Science, 5, 335–343.
Landsat Project Science Office. (2002). Landsat 7 science data user’s handbook. http://ltpwww.gsfc.nasa.gov/IAS/handbook/handbook_toc.html. GoddardSpace Flight Center, NASA, Washington, DC.
Li, X., Nian, Y., Zhou, J., & Hu, X. (2014). Impact of land use change on water resource allocation in the middle reaches of the Heihe River Basin in North Western China. Journal of Arid Land, 6(3), 273–286.
Lodh, R., Paul, R., Karmakar, B., & Das, M. K. (2014). Physico chemical studies of water quality with special reference to ancient lakes Udaipur city, Tripura, India. International Journal of Scientific and Research Publications, 4(6), 1–9.
Miller, W. W., Joung, H. M., Mahannah, C. N., & Garrett, J. R. (1986). Identification of water quality differences Nevada through index application. Journal of Environmental Quality, 15(3), 265–272.
Naubi, I., Zardari, N. H., Shirazi, S. M., Ibrahim, N. F. B., & Baloo, L. (2016). Effectiveness of water quality index for monitoring Malaysian river water quality. Polish Journal of Environmental Studies, 25(1), 231–239.
Nichol, J. E. (1994). A GIS-based approach to microclimate monitoring in Singapore’s high-rise housing estates. Photogrammetric Engineering and Remote Sensing, 60, 1225–1232.
Olusola, A., Onafeso, O., & Durowoju, O. S. (2018). Analysis of organic matter and carbonate mineral distribution in shallow water surface sediments. Osun Geographical Review, 1(1), 106–110.
Palit, D., Mondal, S., & Chattopadhyay, P. (2018). Analyzing water quality index of selected Pit-Lakes of Raniganj Coal Field Area, India. Environment and Ecology, 36(4A), 1167–1175.
Patel, S. G., Singh, D. D., & Harshey, D. K. (1983). Pamitae (Jabalpur) sewage polluted water body, as evidenced by chemical and biological indicators of pollution. Journal of Environmental Biology, 4, 437–449.
Rawat, J. S., & Kumar, M. (2015). Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Science, 18(1), 77–84.
Sadat-Noori, S. M., Ebrahimi, K., & Liaghat, A. M. (2014). Groundwater quality assessment using the water quality index and GIS in Saveh-Nobaran aquifer, Iran. Environment and Earth Science, 71, 3827–3843.
Salve, B. S., & Hiware, C. J. (2006). Studies on water quality of Wanparkalpa reservoir, Nagapur, Near ParliVaijinath, Dist Beed, Marathwada region. Journal of Aquatic Biology, 21(2), 113–111.
Schroeter, L., & Glasser, C. (2011). Analyses and monitoring of lignite mining lakes in Eastern Germany with spectral signatures of Landsat TM satellite data. International Journal of Coal Geology, 86, 27–39.
Shah, K. A., & Joshi, G. S. (2017). Evaluation of water quality index for River Sabarmati. Applied Water Science, Gujarat. https://doi.org/10.1007/s13201-015-0318-7
Singh, A. (1989). Digital change detection technique using remotely sensed data. International Journal of Remote Sensing, 10(6), 989–1003.
Singh, P., Gupta, A., & Singh, M. (2014). Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques. Egyptian Journal of Remote Sensing and Space Science, 17(2), 111–121.
Solanki, H. A., & Pandit, B. R. (2004). Trophic status of lentic waters of ponds water of Vadodara, Gujarat, India. International Journal of Bioscience Reporter, 4, 191–198.
Sunkad, B. N. (2008). Water quality assessment of Kanabargi water body (Belgaum). Environment and Ecology, 26, 191–194.
Wang, X., & Xie, H. (2018). A review on applications of remote sensing and geographic information systems (GIS) in water resources and flood risk management. Water, 10, 608.
William, E. R., William, B. M., & Turner, B. L. (1994). Modelling land use and land cover as part of global environmental change. Climate Change, 28, 45–64.
Wright, C. K., & Wimberly, M. C. (2013). Recent land use change in the Western Corn Belt threatens grasslands and wetlands. Proceedings of the National Academy of Sciences of the United States of America, 110(10), 4134–4139.
Yuan, F., & Bauer, M. E. (2007). Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sensing of Environment, 106, 375–386.
Yucel, D. S., Yucel, M. A., & Baba, A. (2014). Change detection and visualization of acid mine lakes using time series satellite image data in geographic information systems (GIS): Can (Canakkale) County, NW Turkey. Environmental Earth Sciences, 72, 4311–4323.
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
Palit, D., Mandal, S., Das, S., Palit, P.N., Bhattacharya, S. (2022). Assessment of Water Quality and Landscape Dynamics in Some Selected Pit Lakes of Andal Block, Paschim Bardhaman, West Bengal, India: A Geospatial Appraisal. In: Bhunia, G.S., Chatterjee, U., Lalmalsawmzauva, K., Shit, P.K. (eds) Anthropogeomorphology. Geography of the Physical Environment. Springer, Cham. https://doi.org/10.1007/978-3-030-77572-8_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-77572-8_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-77571-1
Online ISBN: 978-3-030-77572-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)