Abstract
This study provides a comparative evaluation of spatio-temporal distribution of soil erosion in Western (Mago Basin) and Eastern (Dibang Basin) basins of Arunachal Pradesh, India as these two basins are vulnerably exposed to soil erosion due to its topographical characteristics of mountainous steep slope and experiences heavy rainfall. The study was carried out for a ten-years period (2003 to 2014) using RUSLE model which encompasses five important factors contributing to soil erosion. Rainfall erosivity (R factor) map was calculated using Climate Prediction Center gridded precipitation. Soil map and soil samples were used to analyze soil erodibility (K factor) map. Slope length and slope steepness (LS factor) maps were computed from SRTM DEM (30 m resolution). MODIS NDVI images were used to obtain cover management (C factor) map. Landuse Landcover map was used to obtained support practice (P factor) map. Higher value in rainfall erosivity and cover management factor was observed in Mago basin which contributed to higher average annual soil loss of 17.423 t ha−1 y−1 in Mago basin and 5.461 t ha−1 y−1 in Dibang basin, whereas the other three factor values were almost the same. The spatial maps showed 56.65% of Mago basin area and 76.27% of Dibang basin area was under the class of slight erosion, with the remaining areas of moderate to severe erosion risk for both the basins. Temporal average soil erosion in Mago basin varied within moderate to very high erosion classes whereas Dibang basin erosion classes varied from slight to moderate. The temporal trend line showed that the overall soil erosion was increasing at an alarming rate for Mago basin whereas a slight increase in Dibang basin was observed.
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References
Agarwal, D., et al. (2016) Soil erosion map** of watershed in Mirzapur district using RUSLE model in GIS environment. Internat. Jour. Students’ Res. in Tech. Managmt., v.4(3), pp.56–63.
Arnoldus, H.M.J. (1980) An approximation of the rainfall factor in the Universal Soil Loss Equation. In: De Boott, M., and Gabriels, D. (Eds.), Assessment of Erosion. Chichester, UK, Wiley, pp.127–131.
Baby, A. and Nair, A. (2016) Soil erosion estimation of Kuttiyadi River Basin Using RUSLE. Internat. Advan. Res. Jour. Sci., Eng. Tech., v.3(3), pp.275–279.
Bhat, S.A., Hamid, I., Dar, M.U.D., Rasool, D., Pandit, B.A. and Khan, S. (2017) Soil erosion modeling using RUSLE & GIS on micro watershed of J & K. Jour. Pharmacognosy and Phytochemistry, v.6(5), pp.838–842.
Buttafuoco, G., Conforti, M., Aucelli, P.P.C., Robustelli, G. and Scarciglia, F. (2012) Assessing spatial uncertainty in map** soil erodibility factor using geostatistical stochastic simulation. Environ. Earth Sci., v.66, pp.1111–1125.
Chalise, D., Kumar L., Spalevic, V. and Skataric, G. (2019) Estimation of Sediment Yield and maximum outflow using the IntEro model in the Sarada river basin of Nepal. Water, v.11(5), pp.952.
Chatterjee, N. (2020) Soil erosion assessment in a humid, Eastern Himalayan watershed undergoing rapid land use changes, using RUSLE, GIS and high-resolution satellite imagery. Model. Earth Syst. Environ., v.6, pp.533–543.
Chatterjee, S., Krishna, A.P. and Sharma, A.P. (2014) Geospatial assessment of soil erosion vulnerability at watershed level in some sections of the Upper Subarnarekha River basin, Jharkhand, India. Environ. Earth Sci., v.71, pp.357–374.
Chen, P., Feng, Z., Mennan, A., Chen, S. and Ullah, T. (2019) Assessment of Soil Loss from Land use/Land cover change and disasters in the Longmen Shan Mountains, China, Appl. Ecol. Environ. Res., v. 17(5), pp.11233–11247.
Chiphang, N., Golom, T., Bandyopadhyay, A. and Bhadra, A. (2022) Modeling the impact of climate change on sediment yield from an Eastern Himalayan River Basin using ArcSWAT. Irab. Jour. Geosci., v.15(3), pp.232.
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. Managmt., v.22(12), pp.1783–1798.
Das, B., Bordoloi, R., Thungon, L.T., Paul, A., Pandey, P.K., Mishra, M. and Tripathi, O.P. (2020) An integrated approach of GIS, RUSLE and AHP to model soil erosion in West Kameng watershed, Arunachal Pradesh. Jour. Earth Syst. Sci., v.129(1), pp.1–18.
Das, B., Paul, A., Bordoloi, R., Tripathi, O.P. and Pandey, P.K. (2018) Soil erosion risk assessment of hilly terrain through integrated approach of RUSLE and geospatial technology: a case study of Tirap District, Arunachal Pradesh. Model. Earth Syst. Environ., v.(1), pp.373–381.
Datta, P.S. and Kirchner, H.S. (2010) Erosion Relevant Topographical Parameters Derived from Different DEMs—A Comparative Study from the Indian Lesser Himalayas. Remote Sens., v.2(8), pp.1941–1961.
Food and Agricultural Organization (FAO) (2019). Soil erosion: the greatest challenge to sustainable soil management.
Foster, G., McCool, D., Renard, K. and Moldenhauer, W. (1981) Conversion of the universal soil loss equation to SI metric units. Jour. Soil Water Conserv., v.36(6), pp.355–359.
Ganasri, B.P. and Ramesh, H. (2016) Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin. Geosci. Front., v.7(6), pp.953–961.
Gayen, A., Saha, S. and Pourghasemi, H.R. (2019) Soil erosion assessment using RUSLE model and its validation by FR probability model. Geocarto Internat., v.35(15), doi:https://doi.org/10.1080/10106049.2019.1581272.
Hajra, P.K., Verma, D.M. and Giri, G.S. (1996) Materials for the flora of Arunachal Pradesh. Botanical Survey of India.
Hickey, R., Smith, A. and Jankowski, P. (1994) Slope length calculations from a DEM within ARC/INFO GRID. Computers, Environ. Urban Syst., v.18(5), pp.365–380.
Imani, R., Ghasemieh, H. and Mirzavand, M. (2014) Determining and map** soil erodibility factor (case study: Yamchi Watershed in Northwest of Iran). Open Jour. Soil Sci.
Javadinejad, S., Dara, R. and Jafary, F. (2020) Climate change scenarios and effects on snow-melt runoff. Civil Eng. Jour., v.6(9), pp.1715–1725.
Kalambukattu, J. and Kumar, S. (2017) Modelling soil erosion risk in a mountainous watershed of Mid-Himalaya by integrating RUSLE model with GIS. Eurasian Jour. Soil Sci., v.6(2), pp.92–105.
Koirala, P., Thakuri, S., Joshi, S. and Chauhan, R. (2019) Estimation of Soil Erosion in Nepal Using a RUSLE Modeling and Geospatial Tool. Geosci., v.9(4), pp.147.
Kothyari, U.C. (1996) Erosion and sedimentation problems in India. IAHS Publications-Series of Proceedings and Reports-Intern Assoc Hydrological Sciences, v.236, pp.531–540.
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. Environ. Geol., v.57, pp.483–497.
Kumar, A., Devi, M. and Deshmukh, B. (2014) Integrated Remote Sensing and Geographic Information System Based RUSLE Modelling for Estimation of Soil Loss in Western Himalaya, India. Water Resour. Managmt., v.28, pp.3307–3317.
Kumar, S. and Kushwaha, S.P.S. (2013) Modelling soil erosion risk based on RUSLE-3D using GIS in a Shivalik sub-watershed. Jour. Earth Syst. Sci., v. 122(2), pp.389–398.
Machiwal, D., Katara, P. and Mittal, H.K. (2015) Estimation of soil erosion and identification of critical areas for soil conservation measures using RS and GIS-based universal soil loss equation. Agricul. Res., v.4, pp.183–195.
McLeod, S. (1973) Studies on wet oxidation procedures for the determination of organic carbon in soils. Notes on soil techniques, pp.73–79.
Milward, A. and Mersey, J.E. (1999) Adapting the RUSLE model soil erosion potential in a mountainous tropical watershed. Catena, v.38(2), pp.102–129.
Mitchell, J.K. and Bubenzer, G.D. (1980) Soil Loss Estimation. In: Kikby, M.J. and Morgan, R.P.C., (Eds.), Soil Erosion, John Wiley and Sns Ltd, Hoboken, pp.17–62.
Nearing, M.A., Pruski, F.F. and O’neal, M.R. (2004) Expecting climate change impacts on soil erosion rates: a review. Jour. Soil Water Conserv., v.59(1), pp.43–50.
Oldeman, L.R. (1992) Global extent of soil degradation. In: Bi-Annual Report 1991-1992/ISRIC (pp. 19–36). ISRIC.
Panagos P., Borrelli P., Meusburger K., Van der Zanden H.E, Jean Poesen J. and Alewell C. (2015) Modelling the effect of support practices (P factor) on the reduction of soil erosion by water at European scale. Environ. Sci. Policy, v.51, pp.23–34.
Pandey, A., Chowdary, V.M. and Mal, B.C. (2007). Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resour. Managemt., v.21, pp.729–746.
Parveen, R. and Kumar, U. (2012) Integrated approach of universal soil loss equation (USLE) and geographical information system (GIS) for soil loss risk assessment in Upper South Koel Basin, Jharkhand. Jour. Geograph. Inform. Syst., v.4, pp.588–596.
Prasannakumar, 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. Environ. Earth Sci., v.64, pp.965–972.
Ranjan, O.J., Anand, S. and Pandey, B.W. (2016) Understanding cultivation Ecology in Tawang-Chu River Basin Arunachal Pradesh. Climate Change and Sustainable Development. Shabdvani Prakashan, New Delhi, pp.189–203.
Renard, P. and De Marsily, G. (1997) Calculating equivalent permeability: a review. Advan. Water Resour., v.20(5–6), pp.253–278.
Saha, S.K. (2003) Water and wind induced soil erosion assessment and monitoring using remote sensing and GIS. Satellite remote sensing and GIS applications in agricultural meteorology, pp.315–330.
Sharda, V.N., Mandai, D. and Ojasvi, P.R. (2013) Identification of soil erosion risk areas for conservation planning in different states of India. Jour. Environ. Biol., v.34(2), pp.219.
Shit, P., Nandi, A. and Bhunia, G. (2015) Soil erosion risk map** using RUSLE model on Jhargram sub-division at West Bengal in India. Modeling Earth Systems and Environment.
Singh, S. (1999) A Resource Atlas of Arunachal Pradesh. Govt. of Arunachal Pradesh, Itanagar, India, pp.57–58.
Singh, T. P., Singh, S., amp; Roy, P. S. (2003) Assessing jhum-induced forest loss in Dibang valley, Arunachal Himalayas—A remote sensing perspective. Jour. Indian Soc. Rem. Sens., v.31, pp.3–9.
Soil Survey Staff. (1983) National soils handbook. US Department of Agriculture-Soil Conservation Service, Agriculture Handbook 430.
Srivastava, P.C. (2000) Soils of Arunachal Pradesh. SLUB Publ. 18, State Land Use Board, Naharlagun-791110 86+ one sheet of soil map.
Stefanidis, S., Alexandridis, V. and Ghosal, K. (2022) Assessment of Water-Induced Soil Erosion as a Threat to Natura 2000 Protected Areas in Crete Island, Greece. Sustainability, v.14, 2738.
Swarnkar, S., Malini, A., Tripathi, S. and Sinha, R. (2018) Assessment of uncertainties in soil erosion and sediment yield estimates at ungauged basins: an application to the Garra River basin, India, Hydrol. Earth Syst. Sci., v.22, pp.2471–2485.
Tang, Q., Xu, Y., Bennett, S.J. and Li, Y. (2015) Assessment of soil erosion using RUSLE and GIS: an application model for Calabria (Southern Italy). Geomorphology, v.112(3–4), pp.228–245.
Thapa, P. (2020) Spatial estimation of soil erosion using RUSLE modeling: a case study of Dolakha district, Nepal. Environ. Syst. Res., v.9(15).
Van, D.K.J., Jones, R. and Montanarella, L. (2000) Soil erosion risk assessment in Europe. Luxembourg: Office for Official Publications of the European Communities.
Vikhe, S.D. and Patil, K.A. (2016). Assessment of soil erosion in Sukhana basin using USLE, GIS and Remote Sensing: A case study. Internat. Jour. Civil, Struct., Environ. Infrastruct. Eng. Res. Develop., v.6(4), pp.71–78.
Wang, G., Gertner, G., Parysow, P. and Anderson, A. (2001) Spatial prediction and uncertainty assessment of topographic factor for revised universal soil loss equation using digital elevation models. ISPRS Jour. Photogram. Rem. Sens., v.56, pp.65–80.
Winchell, M.F., Jackson, S.H., Wadley, A.M. and Srinivasan, R. (2008) Extension and validation of a geographic information system-based method for calculating the Revised Universal Soil Loss Equation length-slope factor for erosion risk assessments in large watersheds. Jour. Soil Water Conserv., v.63(3), pp.105–111.
Wischmeier, W. H., Smith D. D. (1978) Predicting Rainfall Erosion Losses-A Guide to Conservation Planning, Agricultural Handbook No. 282, USDA.
**ao, Yang, Guo, B., Lu, Y., Zhang, R., Zhang, D., … amp; Wang, Z. (2021) Spatial-temporal evolution patterns of soil erosion in the Yellow River Basin from 1990 to 2015: impacts of natural factors and land use change. Geomatics, Natural Hazards and Risk, v.12(1), pp.103–122.
Yue, B.J., Shi. Z.H. and Fang, N.F. (2014) Evaluation of rainfall erosivity and its temporal variation in the Yanhe River catchment of the Chinese Loess Plateau, Natural Hazards, v.74, pp.585–602.
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Munuvelu Vese is currently a Research Scholar in the Department of Agricultural Engineering, NERIST, Arunachal Pradesh. She is working on Soil Erosion susceptibility map** of Arunachal Pradesh under climate and LULC change scenarios.
Waikhom Rahul Singh is currently working at NERC, NIH, Guwahati as Scientist ‘C’. His areas of interest are hydrological modeling, climate change studies, RS and GIS applications in hydrology, soil and water conservation, drought vulnerability analysis, and Springshed management.
Sulika Assumi has completed her B.Tech in Agricultural Engineering from NERIST in 2020. Part of this paper was her B.Tech final year project.
Aditi Bhadra is working as Professor in Department of Agricultural Engineering, NERIST, Arunachal Pradesh. Her areas of interest are Hydrological Modelling, Reservoir-based Canal Irrigation, Cryosphere, and Soil Water Engineering. She received Indo-US Fellowship for Post-doc Research at UC Merced.
Pooja Mishra is currently working as Research Associate in the Department of Agricultural Engineering, NERIST, Arunachal Pradesh. She received her Ph.D. in 2019. Her areas of interest are Eco-hydrological Modelling, and Application of geospatial technologies in Soil Water Engineering.
Punwang Lowang has completed his M.Tech in Soil and Water Conservation Engineering from NERIST in 2022. Before that, he did his B.Tech in Agricultural Engineering from NERIST in 2020. Part of this paper was his B.Tech final year project.
Arnab Bandyopadhyay is currently working as Professor in the Department of Agricultural Engineering, NERIST, Arunachal Pradesh. His areas of interest are Surface Hydrology, Hydroinformatics, Geoinformatics, and Vulnerability to Climate Change. Earlier he worked as Scientist in National Institute of Hydrology.
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Vese, M., Mishra, P., Singh, W.R. et al. Decadal Variations in Area under Different Soil Erosion Classes using RUSLE and GIS: Case Studies of River Basins from Western and Eastern Arunachal Pradesh. J Geol Soc India 99, 1725–1737 (2023). https://doi.org/10.1007/s12594-023-2528-1
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DOI: https://doi.org/10.1007/s12594-023-2528-1