Optimization modelling to establish false measures implemented with ex-situ plant species to control gully erosion in a monsoon-dominated region with novel in-situ measurements.

@article{Saha2021OptimizationMT,
  title={Optimization modelling to establish false measures implemented with ex-situ plant species to control gully erosion in a monsoon-dominated region with novel in-situ measurements.},
  author={Asish Saha and Subodh Chandra Pal and Alireza Arabameri and Indrajit Chowdhuri and Fatemeh Rezaie and Rabin Chakrabortty and Paramita Roy and Manisa Shit},
  journal={Journal of environmental management},
  year={2021},
  volume={287},
  pages={
          112284
        }
}
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References

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The sub-tropical countries like India experience large-scale land degradation due to erosion of the surface soil. So, there is a direct impact of monsoon climate in this region; large-scale…
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TLDR
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TLDR
A new model by combining the geographically weighted regression (GWR) technique with the certainty factor (CF) and random forest (RF) models to produce gully erosion zonation mapping is proposed and can be used by local managers and planners for environmental management.
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Land degradation is very severe in the subtropical monsoon-dominated region due to the uncertainty of rainfall in the long term, and most of the rainfall occurs with high intensity and kinetic energy…
Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment
TLDR
The RS-NBTree ensemble model performed significantly better than the others, suggesting greater flexibility towards unknown data, which may support the applications of these methods in transferable susceptibility models in areas that are potentially erodible but currently lack gully data.
Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling
Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem
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