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<p>The word water is equated with life, as the existence of lives on this planet cannot be possible without water. Since time immemorial, water has been considered a critical natural resource and a lifeline for human civilisation. This research aims to assess the dynamicity of the Static Water Level with respect to the Mean sea level in m. (SWL wrt. MSL) in response to the changing land use and land cover scenario of the Purba Bardhaman district from 1990 to 2020. Two sets of datasets were collected and used for this study. Satellite images of the last thirty years with five-year intervals were classified and analysed to monitor the changes in the biogeophysical landscape in the area. In addition, the SWL of 47 monitoring wells across the plain regions for 25&#xa0;years (1996–2020) has been retrieved and analysed for this study. The central objective of the study is to find out the changing nature of SWL and the impact of land use and land cover transformation over the extent of SWL fluctuation in this area. Both primary and secondary data used in this study were collected from different sources and fed into the geographical information system platform to prepare thematic maps on various bio-geophysical features such as land use and land cover, geomorphology, geology, aquifer disposition, SWL trend and fluctuations. Landsat satellite images from 1990 to 2020 were used to determine the changes in land use and land cover features using supervised classification techniques. The accuracy assessment of the 2020 classified map was done using ground control points collected during the field survey. The remaining classified maps from 1990 to 2015 were verified using tools like Google Earth Pro and other scientific references available in this area. Subsequently, the change rate of all the land use and land cover categories, along with their pixel-wise transformation, was performed. The annual change rates in SWL, in conjunction with their five-year fluctuations, were analysed as a response to the transformation in LULC features from 1990 to 2020. Results highlighted significant changes in SWL as a function of the drastic alteration of LULC features, especially cropland and built-up areas.</p>

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Land use land cover dynamics and its impact on SWL fluctuation in shallow alluvial aquifers of the Purba Bardhaman plain, West Bengal, India

  • 期刊论文

  • 发表日期：

    2025年1月21日

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  • Mainul Islam,
  • Arijit Majumder

摘要

The word water is equated with life, as the existence of lives on this planet cannot be possible without water. Since time immemorial, water has been considered a critical natural resource and a lifeline for human civilisation. This research aims to assess the dynamicity of the Static Water Level with respect to the Mean sea level in m. (SWL wrt. MSL) in response to the changing land use and land cover scenario of the Purba Bardhaman district from 1990 to 2020. Two sets of datasets were collected and used for this study. Satellite images of the last thirty years with five-year intervals were classified and analysed to monitor the changes in the biogeophysical landscape in the area. In addition, the SWL of 47 monitoring wells across the plain regions for 25 years (1996–2020) has been retrieved and analysed for this study. The central objective of the study is to find out the changing nature of SWL and the impact of land use and land cover transformation over the extent of SWL fluctuation in this area. Both primary and secondary data used in this study were collected from different sources and fed into the geographical information system platform to prepare thematic maps on various bio-geophysical features such as land use and land cover, geomorphology, geology, aquifer disposition, SWL trend and fluctuations. Landsat satellite images from 1990 to 2020 were used to determine the changes in land use and land cover features using supervised classification techniques. The accuracy assessment of the 2020 classified map was done using ground control points collected during the field survey. The remaining classified maps from 1990 to 2015 were verified using tools like Google Earth Pro and other scientific references available in this area. Subsequently, the change rate of all the land use and land cover categories, along with their pixel-wise transformation, was performed. The annual change rates in SWL, in conjunction with their five-year fluctuations, were analysed as a response to the transformation in LULC features from 1990 to 2020. Results highlighted significant changes in SWL as a function of the drastic alteration of LULC features, especially cropland and built-up areas.