Rill and gully erosion risk of lateritic terrain in South-Western Birbhum District, West Bengal, India

Jha, Vibhash; Kapat, S.

doi:10.1590/s1982-45132009000200010

Cited by 40 publications

(14 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…High seasonal variability of rainfall (Coefficient of variation = 98.04 %) encourage strong wetting and drying of soil and it often causes vulnerability of soil loss. Apart from all these, strong riling and gulling is another major vector of strong rate vulnerability of soil loss specifically in upper part of the rill and gully heads and in fat, these areas contribute more soil erosion (Kar and Bandopadhyay 1974;Bandopadhyay 1987;Jha and Kapat 2009).…”

Section: Resultsmentioning

confidence: 99%

Identification of soil erosion vulnerable areas in Chandrabhaga river basin: a multi-criteria decision approach

Pal

2015

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

In this present paper on delineation of soil erosion prone areas in a plateau fringe sub basin river Chandrabhaga (length: 26 km and area: 119 sq km), a tributary of Mayurakshi river, drains over lateritic tract of western Birbhum district of West Bengal. Raster based weighted linear combination (WLC) method considering six soil erosion driving parameters have been done in Arc Gis and ERDAS environments. RUSLE is used to quantify the raster based qualitative spatial erosion vulnerable model produced through WLC. This model is also tallied with pegging operation based measurement of surface lowering rates in different soil erosion vulnerable areas for validating the same. Raster based spatial model reveals that out of total basin area, 19.87 % area is extremely prone to soil erosion with a rate of 21.78 Mg/ha/year and total of 51513.86 Mg/year as derived from RUSLE based estimation of soil loss. Estimated weighted average soil erosion rate of this present basin is 9.12 Mg/ha/year. Pegging operation based measurement of surface lowering rate as well as soil loss validates the spatial scaling of soil erosion. Surface lowering rate is 2.5 mm/year in the extremely vulnerable areas followed by and highly vulnerable areas (1.1 mm/year).

show abstract

Section: Resultsmentioning

confidence: 99%

Identification of soil erosion vulnerable areas in Chandrabhaga river basin: a multi-criteria decision approach

Pal

2015

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

show abstract

“…Certainly, this fact is not solely responsible for deteriorating forest quality. Coarse grain lateritite soil (Chokraborty, 1970), and mass scale soil erosion (6-8t/ha/y) are another controlling factors for tree felling and degradation of vegetation (Jha and Kapat, 2009;Pal, 2016). The formation of dust layer on plant body damage plant tissue which reduces rate of photosynthesis.…”

Section: Discussionmentioning

confidence: 99%

“…Transported secondary laterites and lateritic alluvium soils are found at the middle part of the basin (Chakraborty, 1970). These lateriatic regolith is carried out by the main river and tributary system (Jha, 1997;Jha and Kapat, 2003;Jha and Kapat, 2009). These lateritic mater Fine silty alluvium soil is found at the lower catchment of the basin.…”

Section: Fig3 Geological Map Of the Studied Catchmentmentioning

confidence: 99%

Impacts of Stone Mining and Crushing on Stream Characters and Vegetation Health of Dwarka River Basin of Jharkhand and West Bengal, Eastern India

Pal

Mandal

2017

Journal of Environmental Geography

View full text Add to dashboard Cite

Dwarka River basin (3882.71 km 2 ) of Eastern India in the Chotonagpur Plateau and Gangetic Plain is highly affected by stone mining and crushing generated dust. In the middle catchment of this basin, there are 239 stone mines and 982 stone crushing units. These produce approximately 258120 tons of dust every year and this dust enters into the river and coats the leaves of plants. On the one hand, this is aggrading in the stream bed, increasing sediment load, decreasing water quality, specifically increasing total dissolved solid, pH, water colour, and it also degrades the vegetation quality. Vegetation quality is also degraded as indicated by decreasing of NDVI values (maximum NDVI in 1990 was 0.70 and in 2016 it was 0.48). Considering all these issues, the present paper intends to identify dust vulnerable zones based on six major driving parameters and the impact of the dust on river morphology, water quality and vegetation quality in different vulnerable zones. Weighted linear combination method (in Arc Gis environment) is used for compositing the selected parameters and deriving vulnerable zones. Weight to the each parameter is assigned based on analytic hierarchy process, a semi quantitative method. According to the results, 579.64 km 2 (14.93%) of the catchment area is very highly vulnerable: Here 581 rivers have a length of 713 km and these riversare prone to high dust deposition, increased sediment load and water quality deterioration.

show abstract

“…As the important studies done by Ahmad (1968Ahmad ( , 1973, Sharma (1970Sharma ( , 1980Sharma ( , 1986Sharma ( , 2009), Singh and Agnihotri (1987), Kale et al (1994), Singh and Dubey (2002), S. Bandhyopadhyay et al (1995Bandhyopadhyay et al ( , 2004, Jha and Kapat (2003, 2009, 2011) the gullies and ravines of India are generated in different types of soils through various stages under the influence of various factors (viz. neo-tectonic causes in peninsular margin of India, rejuvenation due to Quaternary climate change, land use and land cover change etc.).…”

Section: Introductionmentioning

confidence: 98%

Soil Loss Estimation through USLE and MMF Methods in the Lateritic Tracts of Eastern Plateau Fringe of Rajmahal Traps, India

Ghosh¹,

Guchhait²

2012

Ethiop. J. Env Stud & Manag

View full text Add to dashboard Cite

Laterites of Birbhum district are indentified as the 'low-level laterites' of 'Rarh Plain' of West Bengal and these are very much prone to severe soil erosion (mainly surface and sub-surface water erosion) in the monsoon season (June -September). Laterites and lateritic soils (locally named 'Kankara') of Caniozoic upland (adjoining areas of Rampurhat I block, Birbhum and Shikaripara block, Dumka-the study area), are the direct result of monsoonal wet-dry type of morpho-climatic processes and further laterisation of fluvial deposited materials (formation of surface duricrust) which was coming from Rajmahal Hills of eastern Chotanagpur Plateau (Jharkhand) in late Pleistocene. Such type of vermiform laterites is shaped and dissected by numerous gullies and ravines, giving birth of badland topography (locally named 'Khoai') of both degradation and aggradation processes. Before the soil conservation practices it is helpful if the assessment of soil erosion can be transformed into a statement of how fast soil is being eroded. The estimation of rate of annual soil loss is required in that case, because we must have to predict soil loss through effective models under a wide range of conditions. In this study the entire assessment is focused on the application Universal Soil Loss Equation (USLE) and Morgan, Morgan and Finney (MMF) methods in the soil loss estimation of sample slope segments, and relative comparison and suitability of both methods in the precise estimation of predicting soil loss.

show abstract

Rill and gully erosion risk of lateritic terrain in South-Western Birbhum District, West Bengal, India

Cited by 40 publications

References 10 publications

Identification of soil erosion vulnerable areas in Chandrabhaga river basin: a multi-criteria decision approach

Identification of soil erosion vulnerable areas in Chandrabhaga river basin: a multi-criteria decision approach

Impacts of Stone Mining and Crushing on Stream Characters and Vegetation Health of Dwarka River Basin of Jharkhand and West Bengal, Eastern India

Soil Loss Estimation through USLE and MMF Methods in the Lateritic Tracts of Eastern Plateau Fringe of Rajmahal Traps, India

Contact Info

Product

Resources

About