Geospatial assessment of erosional behaviour of a watershed inAngara block of Ranchi district, Jharkhand
DOI:
https://doi.org/10.53550/Keywords:
Land Use/Land Cover Change (LULC), Remote sensing, Soil erosion, Watershed managementAbstract
Soil erosion assessment was carried out in Dumar Kocha watershed of Ranchi district in Jharkhand state to understand the erosional behavior geospatially using Universal Soil Loss Equation (USLE). It was observed that average annual soil erosion for the watershed ranged from slight (<5 t ha yr ) to very severe (>80 t ha yr ). This was further observed that the watershed areas covered by slight, moderate, high, very high, severe and very severe erosion potential zones were 67, 12.42, 10.98, 3.82, 5.14 and 1.21% of the watershed, respectively. Spatial analysis using remote sensing and geographic information system (GIS) indicated high soil erosion rates in central portion of the watershed, which could be attributed to the severe terrain modifications, inappropriate agricultural practices and forest degradations. Since the areas which are sensitive to soil loss could be demarcated, outcome of the study has the potential to serve as a valuable resource for better land management. Geoinformatics based analysis of erosion behavior in this region at watershed level can help manage natural resources better. Results thus obtained should further help in assessment of appropriate indicators to work upon for conserving water and soil through watershed management and land use planning.
References
Chatterjee, S., Krishna,A.P. and Sharma,A.P. 2013. Geospatial assessment of soil erosion vulnerability at watershed level in some sections of the Upper Subarnrekha river basin, Jharkhand, India. Environ. Earth Sci. (online first: DOI: 10.1007/s12665-013-2439-3).
Dabral, P.P., Baithuri, N. and Pandey,A. 2008. Soil erosion assessment in a hilly catchment of north eastern India using USLE, GIS and remote sensing, Water Resour. Manage, 22:1783-1798.
Gonzalez, A.M.R. 2004 Soil erosion calculation using remote sensing and GIS in Río Grande de Arecibo Watershed, Puerto Rico Department of
Civil Engineering, University of Puerto Rico at Mayaguez http://gers.uprm.edu/geol6225/pdfs/a_rojas.pdf (accessed June 2012).
Joshi, V. and Krishna, A.P. 2000. Control measures for checking soil erosion, landslides and debris flow in Hindu-Kush Himalayan belt of PR of China, Ind. J. Soil Cons, 28:1-6.
Khosrowpanah, Shahram, P.E., Leroy F. Heitz., P.E. Yuming Wen and Park, M. 2007. Developing a GIS-based soil erosion potential model of the Ugum watershed . Water & Environmental Research Institute of the Western Pacific (Technical Report No.117) Uog Station, Mangilao,Guam96923.
Kouli, M., Soupios, P. and Vallianatos, F. 2009. Soil erosion prediction using the revised universal soil loss equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece.v, 57: 483-497 (DOI 10.1007/s00254-008-1318-9).
Krishna, A.P. 1996. Remote sensing approach for watershed based resources management priorities in the Sikkim Himalaya - a case study. J. Indian Soc. Remote Sens, 24(2): 69-83.
Krishna, A.P. and Hemrom, S. 2008. Utilisation of Indian Remote Sensing Satellite (IRS) data for assessment of soil erosion process of a watershed in Chhotanagpur plateau region 37 Committee on Space Research (COSPAR) Scientific Assembly (July 13-20, 2008), Montreal, Canada, http://www.cospar-assembly.org/admin/congress_overview.php?sessionid=1, pp. 1620
Krishna, A.P. and Rai, L.K. 1996. GIS and remote sensing for natural resources management at watershed level in the mountain environment: a conceptual approach. Asian-Pacific Remote Sensing and GIS Journal, UN-ESCAP, Thailand, 9(1): 93-99.
Kumar, Prasanna V., Shiny, R., Geetha, N. and Vijith, H. 2011. Spatial prediction of soil erosion risk by remote sensing, GIS and RUSLE approach: a case study of Siruvani river watershed in Attapady valley, Kerala, India, J. Environ. Earth Sci., 64(4):965-972.
Landi, A., Barzegar, A.R., Sayadi, J. and Khademalrasoul, A. 2011 Assessment of Soil Loss Using WEPP Model and Geographical Information System, J. Spat. Hydrol., 11(1):40-51.
Mushtak, Jabbar T., CAI Chong-Fa, SHI Zhi-Hua and WANG Tian-Wei. 2005. Application of geo-information technology in the study of soil and nutrients loss by water erosion for three different land cover, Amer. J. App. Sci, 2(6):1065-1072.
Rao, Y.P. 1981. Evaluation of cropping management factor in universal soil loss equation under natural rainfall condition of Kharagpur, India , In: Proceedings of the Southeast Asian Regional Symposium on Problems of Soil Erosion and Sedimentation, Asian Institute of Technology, Bangkok, pp. 241-254.
Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K., Yoder, D.C. 1997. Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE), Agriculture Handbook , vol 703. US Department of Agriculture, Washington, pp. 1-251.
Sharma, E., Sundriyal, R.C., Rai, S.C. and Krishna, A.P. 1998. . In: Watershed:A functional unit of management for sustainable development Modern Trends in Ecology and Environment (Ed. Prof. R.S. Ambasht), Backhuys Publishers, Leiden, The Netherlands, pp. 171-185.
Shinde, V., Sharma, A., Tiwari, K.N. and Singh, M. 2011. Quantitative determination of soil erosion and prioritization of micro-watersheds using remote sensing and GIS, J. Indian Soc. Remote Sens, 39(2):181-192 (DOI 10.1007/s12524-011-0064-8).
Singh, G., Babu, R., Narain, P., Bhusan, L.S. and Abrol, I.P. 1992. Soil erosion rates in India, J. SoilWater Cons, 47(1):9799.
Solanki, R.C. and Singh, A. 1996. Soil erosion research on steep slopes in north-eastern hill region of India - a review, Ind. J. Soil Cons.,24(3):187-192.
Stone, R.P. and Hilborn, D. 2000. Fact sheet for agricultural engineering: universal soil loss equation, http://www.gov.on.ca/omafra (accessed in June 2012).
USDA-SCS 1972. 'Hydrology' in SCS national engineering handbook, section 4.USDepartment of Agriculture, Washington DC, USA.
Website: http://soils.usda.gov/technical/handbook/contents/part618.html#58
Wischmeier, W.H. and Smith, D.D. 1978. Predicting soil erosion losses a guide to conservation planning, U.S. Department of Agriculture, Agriculture Handbook No. 537.



