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<p>The land use pattern and socio-economic development of an area are significantly influenced by its geomorphic configuration, and understanding this relationship is important for achieving sustainable development goals, particularly in economically marginalised regions. The main objectives of the present study are to: (i) examine how the land use pattern in the Eastern Chhotonagpur Plateau Fringe region is affected by its geomorphic configuration, and (ii) analyse how the spatial association of landform and land use is related to socio-economic development constraints. The geomorphic landforms of the area are delineated using two distinct as well as complementary landform classification approaches, namely TPI (Topographic Position Index) and Geomorphon. TPI classifies landforms based on the elevation difference between the target cell and the neighbourhood cells, while Geomorphon delineates landforms based on the geometric pattern formed by surrounding elevations. To assess socio-economic backwardness (SEB), the multi criteria decision making (MCDM) approach of the entropy weighting method (EWM) is first applied to determine the relative importance of 25 different variables, followed by the hybrid WASPAS (Weighted Aggregated Sum Product Assessment) model. The results reveal that TPI-generated landforms of deep valley, upland drainage, wide valley, open slope, mesa, hills in valley, and mountain top recorded a positive correlation with SEB, while shallow valley, plain, and small hill in plain showed a negative correlation. The Geomorphon-mapped landforms of flat, spur, slope, and hollow are associated with a higher degree of SEB, while plain, ridge, shoulder, footslope, valley, and pit are linked with a lower level. The landforms showing a negative correlation with SEB are characterized by the prominence of agricultural land, often of marginal productivity, while vegetation and scrub/shrub are prominent in landforms with a positive correlation. The study emphasizes landform-sensitive development planning and alternative livelihood models for the sustainable development of the region.</p>

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Geomorphic controls on land use and socio-economic backwardness in the Proterozoic Terrain of the Eastern Chhotanagpur Plateau Fringe: evidence from the Kumari River Basin, India

  • 期刊论文

  • 发表日期：

    2026年4月25日

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  • Dayamoy Mandal,
  • Debasis Ghosh

摘要

The land use pattern and socio-economic development of an area are significantly influenced by its geomorphic configuration, and understanding this relationship is important for achieving sustainable development goals, particularly in economically marginalised regions. The main objectives of the present study are to: (i) examine how the land use pattern in the Eastern Chhotonagpur Plateau Fringe region is affected by its geomorphic configuration, and (ii) analyse how the spatial association of landform and land use is related to socio-economic development constraints. The geomorphic landforms of the area are delineated using two distinct as well as complementary landform classification approaches, namely TPI (Topographic Position Index) and Geomorphon. TPI classifies landforms based on the elevation difference between the target cell and the neighbourhood cells, while Geomorphon delineates landforms based on the geometric pattern formed by surrounding elevations. To assess socio-economic backwardness (SEB), the multi criteria decision making (MCDM) approach of the entropy weighting method (EWM) is first applied to determine the relative importance of 25 different variables, followed by the hybrid WASPAS (Weighted Aggregated Sum Product Assessment) model. The results reveal that TPI-generated landforms of deep valley, upland drainage, wide valley, open slope, mesa, hills in valley, and mountain top recorded a positive correlation with SEB, while shallow valley, plain, and small hill in plain showed a negative correlation. The Geomorphon-mapped landforms of flat, spur, slope, and hollow are associated with a higher degree of SEB, while plain, ridge, shoulder, footslope, valley, and pit are linked with a lower level. The landforms showing a negative correlation with SEB are characterized by the prominence of agricultural land, often of marginal productivity, while vegetation and scrub/shrub are prominent in landforms with a positive correlation. The study emphasizes landform-sensitive development planning and alternative livelihood models for the sustainable development of the region.