the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Geomorphic Threshold Estimation for Gully Erosion in the Lateritic Soil of Birbhum, West Bengal, India
Abstract. It is a growing concern that accelerated soil erosion which aggravated by the processes of water erosion (rainsplash, inter-rill, rill, gully erosion and soil piping) in the tropical region and soil loss through crop harvesting represent a seriously threat to soil resource and the ecosystem services that it prevails. The present study examines a quantitative approach to predict critical conditions and locations where gully heads might develop in the lateritic terrain, located at eastern plateau fringe of Rajmahal Basalt Traps, India (Birbhum, West Bengal). The modern concept of geomorphic threshold is applied here on the issue of gully erosion hazard (specially in Indian context) to identify the critical slope of gully head (S) and upstream drainage area (A) with a core relationship of S = a A−b. On the basis of 118 gully heads we have derived statistically significant relationships between slope and drainage area (r = −0.55), overland flow (Q) and slope length (L) (r = 0.69), relative shear stress (τ) and slope (r = 0.92), overland flow detachment rate (H) and eroding force of overland flow (F) (r = 0.98). The established S – A critical relationship, as geomorphic threshold line, is expressed as S = 17.419 A−0.2517, above which gully initiation occurs on the laterites. This equation can be used a predictive model to locate the vulnerable un-trenched slopes (i.e. potential gully erosion locations) in other lateritic areas of West Bengal. The constant b value (0.2517) and Montgomery – Dietrich Envelope suggest a relative dominance of overland flow (52.51 % of gully heads) in the processes of gully erosion. The result of revised MMF model reflects soil loss of 2.33 to 19.9 kg m−2 yr−1 due to overland flow erosion.
- Preprint
(1302 KB) - Metadata XML
- BibTeX
- EndNote
-
RC1: 'Reviewer comments to authors', Anonymous Referee #1, 14 Sep 2016
- AC2: 'Responses of Comments of Referee #1', SANDIPAN GHOSH, 04 Nov 2016
-
RC2: 'Interactive comment on “Geomorphic Threshold Estimation for Gully Erosion in the Lateritic Soil of Birbhum, West Bengal, India” by Sandipan Ghosh and Sanat Kumar Guchhai', Anonymous Referee #2, 18 Sep 2016
- AC3: 'Responses of Comments of Referee #2', SANDIPAN GHOSH, 04 Nov 2016
- AC1: 'Author Response', SANDIPAN GHOSH, 04 Nov 2016
-
RC1: 'Reviewer comments to authors', Anonymous Referee #1, 14 Sep 2016
- AC2: 'Responses of Comments of Referee #1', SANDIPAN GHOSH, 04 Nov 2016
-
RC2: 'Interactive comment on “Geomorphic Threshold Estimation for Gully Erosion in the Lateritic Soil of Birbhum, West Bengal, India” by Sandipan Ghosh and Sanat Kumar Guchhai', Anonymous Referee #2, 18 Sep 2016
- AC3: 'Responses of Comments of Referee #2', SANDIPAN GHOSH, 04 Nov 2016
- AC1: 'Author Response', SANDIPAN GHOSH, 04 Nov 2016
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
843 | 505 | 118 | 1,466 | 113 | 121 |
- HTML: 843
- PDF: 505
- XML: 118
- Total: 1,466
- BibTeX: 113
- EndNote: 121
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
Cited
9 citations as recorded by crossref.
- Water-induced erosion potentiality and vulnerability assessment in Kangsabati river basin, eastern India R. Chakrabortty et al. 10.1007/s10668-021-01576-w
- Sub-watershed prioritization for soil erosion potentiality estimation in tenughat catchment, India S. Sengupta et al. 10.1080/10106049.2021.2017008
- Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India R. Chakrabortty et al. 10.1007/s11069-020-04213-3
- Spatial prediction of susceptibility to gully erosion in Jainti River basin, Eastern India: a comparison of information value and logistic regression models T. Hembram et al. 10.1007/s40808-018-0560-8
- Spatial prediction of gully erosion using ALOS PALSAR data and ensemble bivariate and data mining models A. Arabameri et al. 10.1007/s12303-018-0067-3
- Prioritization of sub-watersheds for soil erosion based on morphometric attributes using fuzzy AHP and compound factor in Jainti River basin, Jharkhand, Eastern India T. Hembram & S. Saha 10.1007/s10668-018-0247-3
- Modelling of gully erosion risk using new ensemble of conditional probability and index of entropy in Jainti River basin of Chotanagpur Plateau Fringe Area, India T. Hembram et al. 10.1007/s12518-020-00301-y
- Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment I. Chowdhuri et al. 10.3390/rs12213620
- Assessing the Importance of Static and Dynamic Causative Factors on Erosion Potentiality Using SWAT, EBF with Uncertainty and Plausibility, Logistic Regression and Novel Ensemble Model in a Sub-tropical Environment R. Chakrabortty et al. 10.1007/s12524-020-01110-x