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Shit, Pravat Kumar
- An Investigation for Methodological Framework to select Grass Roots for Controlling Rill and gully Erosion in Lateritic Area in West Bengal, India
Authors
1 Department of Geography & Environment Management, Vidyasagar University, Medinipur - 721102, West Bengal, IN
2 Department of Botany, Saldiha College, Saldiha-722 173, Bankura, West Bengal, IN
Source
Indian Science Cruiser, Vol 25, No 2 (2011), Pagination: 32-37Abstract
Traditional vegetation techniques to control rill-gully erosion rely mainly on the effects of above ground biomass; whereas little attention has been given to the role of below ground biomass i.e. ischolar_mains system. Yet, in a context where above ground biomass may temporally or specially disappear (e.g. due to temperature or over grazing), ischolar_mains can play an important role in soil erosion rates. This paper presents a methodology to assess the suitability of grass ischolar_mains for rill-gully erosion control and its application to 8 grass species, representative for a semi-arid lateritic rolling environment in western part of West Bengal, India. In this analysis determination of suitable grass species for controlling concentrated flow erosion is based on a multi-criteria analysis. First, two main criteria are determined, i.e. (i) the high potential of grass ischolar_mains to prevent incision by concentrated flow erosion, (ii) the potential of resist to bending by water flow. Then an indicator was used to assess the scores for the two criteria. In total three indicators are selected, i.e. RD, RLD, and RAR. The scores for the indicators are represented on triangulation diagrams. Among the experimental grass species, Eragrostis cynosuroides grass ischolar_mains are found to be more suitable than other species for rill-gully erosion control in lateritic badland topography.
Keywords
Lateritic Soil, Rill-Gully Erosion, Soil Conservation, Grass Roots.
- Gully Erosion Control: Lateritic Soil Region of West Bengal
Authors
1 Department of Geography and Environment Management, Vidyasagar University, Medinipur -721102, IN
Source
Indian Science Cruiser, Vol 28, No 3 (2014), Pagination: 54-61Abstract
Gully erosion management on lateritic soil is a critical issue in West Bengal. In this paper, a combination with vegetation and check dams, for all aspects of lateritic soil erosion management has been discussed. A program for controlling gully erosion was carried out in Rangamati in lateritic soil region of western part of West Bengal from 2011 to 2012 that includes two approaches “Check dam” and “Vegetation cover”. Results indicated that at the initial stage, the percent of sand was the maximum in the upper catchment of each gully basin and the concentration of silt and clay was the least. Gradually as vegetation started trapping, the sediment composition of soil changed registering higher percentage of finer particles. Again, the nutrients detached from the upper catchment were arrested by check dams that induced nutrients supply and water storage, which in turn, increased the growth of vegetation. This proved the significance of vegetation cover with check dams to curb soil erosion. The results obtained may help the planners and managers to take proper decision for the conservation of lateritic soil.
Keywords
Rill-Gully Erosion, Vegetation Cover, Check Dam.- Geospatial Comparison of Three Models to Predict Soil Properties in Semi-Humid Region of West Bengal, India
Authors
1 Department of Geography, F.M. University, Balasore, Orissa, IN
2 Bihar Remote Sensing Application Centre, IGSC Planetarium, Bailer Road, Patna-800001, IN
3 Department of Geography, Cooch Behar College, Cooch Behar, West Bengal, IN
4 Department of Geography, Raja N.L.Khan Women’s College, Gope Palace, Medinipur 721102, West Bengal, IN
5 Regional Development Center, IIT, Kharagpur, IN
Source
Indian Science Cruiser, Vol 32, No 5 (2018), Pagination: 37-47Abstract
Investigation of soil properties are important for sustainable soil nutrient management. This paper presented spatial variability of soil properties at large scale based on GIS based geostatistical model. A total 27 soil samples were collected and physio-chemical analysis in laboratory using standard methods. Three geostatistical models i.e. Inverse distance weighted, radial basis functions and ordinary kriging were used to predict spatial variability of soil properties. The ordinary krigging method has provided is the lowest RMSE, indicated the higher accuracy to predict the soil properties compared to RBF and IDW methods.Keywords
Nitrogen (N), Phosphorous (P), Potassium (K), Organic Carbon (OC), Electrical Conductivity (EC), Geostatistical Modelling.References
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