Chemical weathering and gully erosion causing land degradation in a complex river basin of Eastern India: an integrated field, analytical and artificial intelligence approach

Subodh Chandra Pal (), Rabin Chakrabortty, Alireza Arabameri, M. Santosh, Asish Saha, Indrajit Chowdhuri, Paramita Roy and Manisa Shit
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Subodh Chandra Pal: The University of Burdwan
Rabin Chakrabortty: The University of Burdwan
Alireza Arabameri: Tarbiat Modares University
M. Santosh: China University of Geosciences Beijing
Asish Saha: The University of Burdwan
Indrajit Chowdhuri: The University of Burdwan
Paramita Roy: The University of Burdwan
Manisa Shit: Raiganj University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 110, issue 2, No 2, 847-879

Abstract: Abstract Hot and humid subtropical plateau regions are susceptible to land degradation in the form of weathering and gully erosion. Here, we investigate chemical weathering, gully erosion and cohesiveness through field-based measurements with a view to understand the controlling factors of potential land degradation, in complex river basin of the Chotanagpur plateau region in Eastern India. The layers of controlling factors of gully erosion were developed and prioritized considering boosted regression tree (BRT), alternative decision tree (ADT), particle swarm optimization (PSO) and random forest (RF) algorithms in the R software, and the results of these methods were also validated using receiver operating characteristic (ROC) curves. The spectroscopic analysis was carried out of collected soil samples to measure the degree of chemical weathering and cohesiveness. Furthermore, the climatic elements like temperature and rainfall were also considered for estimating the chemical weathering. The results of the gully erosion models (i.e., BRT, ADT, PSO and RF) show remarkable accuracy with ROC values of 0.93, 0.89, 0.91 and 0.84, respectively. An advanced decision tree model was integrated with the results of degree of chemical weathering and cohesiveness in geographical information system platform. The land degradation map developed from this approach shows that 10.53% of the study area is highly affected, whereas 17.36% area is moderately affected and the rest of the 73.85% area is less affected by land degradation. Our results provide essential information for policy makers in adopting measures for minimizing and controlling the land degradation. Our novel approach is significant to assess land degradation to a large scale.

Keywords: Land degradation; Weathering; Cohesiveness; Gully erosion; Spectroscopic analysis (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11069-021-04971-8

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