Research article

Soil erosion assessment using revised universal soil loss equation model and geo-spatial technology: A case study of upper Tuirial river basin, Mizoram, India

  • Received: 07 September 2020 Accepted: 01 December 2020 Published: 08 December 2020
  • Soil erosion is one of the major environmental problems in northeast India, and identifying areas prone to severe erosion loss is therefore very crucial for sustainable management of different land uses. Tuirial river basin, where shifting cultivation is a major land use, is prone to severe soil erosion and land degradation, linked to its fragile geo-morpho-pedological characteristics. Though several models are available to estimate soil erosion the Revised Universal Soil Loss Equation (RUSLE) is more appropriate and practical model that can be applied at a local or regional level. The objective of the study was to estimate annual soil loss in the upper Tuirial river basin by using RUSLE where various parameters such as rainfall erosivity factor (R), soil erodibility factor (K), slope length (L), slope steepness factor (S), crop management factor (C) and practice management factor (P) were taken into consideration. Land use land cover (LULC) derived from Satellite data of Sentinel 2A Digital Elevation Model (DEM) were integrated into the model. Our results revealed that the river basin has an average annual soil loss of 115.4 Mg ha−1 yr−1, and annual sediments loss to the tune of 6.161 million Mg yr−1 from the basin. About one-fourth (24.78%) of the total basin could be classed as very high to very severe soil erosion prone area that need immediate conservation measures. Besides, the erosional activities were perceived directly proportional with the slope values in the basin. However, regardless of the rugged mountainous terrain of the basin, the unscientific practice of shifting cultivation, associated with high intensity of rainfall is the principal cause of soil erosion. The results of the study is expected to contribute to adaptation of appropriate soil and water conservation measures in the basin area, and similar studies may also be extended to other unexplored areas for proper watershed management in state of Mizoram.

    Citation: Binoy Kumar Barman, K. Srinivasa Rao, Kangkana Sonowal, Zohmingliani, N.S.R. Prasad, Uttam Kumar Sahoo. Soil erosion assessment using revised universal soil loss equation model and geo-spatial technology: A case study of upper Tuirial river basin, Mizoram, India[J]. AIMS Geosciences, 2020, 6(4): 525-544. doi: 10.3934/geosci.2020030

    Related Papers:

  • Soil erosion is one of the major environmental problems in northeast India, and identifying areas prone to severe erosion loss is therefore very crucial for sustainable management of different land uses. Tuirial river basin, where shifting cultivation is a major land use, is prone to severe soil erosion and land degradation, linked to its fragile geo-morpho-pedological characteristics. Though several models are available to estimate soil erosion the Revised Universal Soil Loss Equation (RUSLE) is more appropriate and practical model that can be applied at a local or regional level. The objective of the study was to estimate annual soil loss in the upper Tuirial river basin by using RUSLE where various parameters such as rainfall erosivity factor (R), soil erodibility factor (K), slope length (L), slope steepness factor (S), crop management factor (C) and practice management factor (P) were taken into consideration. Land use land cover (LULC) derived from Satellite data of Sentinel 2A Digital Elevation Model (DEM) were integrated into the model. Our results revealed that the river basin has an average annual soil loss of 115.4 Mg ha−1 yr−1, and annual sediments loss to the tune of 6.161 million Mg yr−1 from the basin. About one-fourth (24.78%) of the total basin could be classed as very high to very severe soil erosion prone area that need immediate conservation measures. Besides, the erosional activities were perceived directly proportional with the slope values in the basin. However, regardless of the rugged mountainous terrain of the basin, the unscientific practice of shifting cultivation, associated with high intensity of rainfall is the principal cause of soil erosion. The results of the study is expected to contribute to adaptation of appropriate soil and water conservation measures in the basin area, and similar studies may also be extended to other unexplored areas for proper watershed management in state of Mizoram.


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    [1] Meena NK, Gautam R, Tiwari P, et al. (2017) Nutrient losses due to soil erosion. J Pharmacogn Phytochem SPI: 1009–1011.
    [2] Pimental D (2006) Soil erosion: A food and environmental threat. Environ Dev Sustainability 8: 119–137. doi: 10.1007/s10668-005-1262-8
    [3] Raymo ME, Ruddiman WF (1992) Tectonic forcing of Late Cenozoic climate. Nature 359: 117–122. doi: 10.1038/359117a0
    [4] Valdiya KS (1985) Accelerated erosion and landslide-prone zones in the central Himalaya. In Singh JS, Environmental regeneration in Himalaya: concepts and strategies, 122–38.
    [5] Rawat JS, Rawat MS (1994) Accelerated erosion and denudation in the Nana kosi watershed, Central Himalya, India, Part Ⅰ: Sediment load. Monit Res Dev 14: 25–38. doi: 10.2307/3673736
    [6] Markose VJ, Jayappa KS (2016) Soil loss estimation and prioritization of sub-watersheds of Kali River basin, Karnataka, India, using RUSLE and GIS. Environ Monit Assess188: 225. doi: 10.1007/s10661-016-5218-2
    [7] Jain SK, Kumar S, Varghese J (2001) Estimation of soil erosion fora Himalayan watershed using GIS technique. Water Resour Manage 15: 41–54. doi: 10.1023/A:1012246029263
    [8] Al-Abadi AMA, Ghalib HB, Al-QurnawI WS (2016) Estimation of soil erosion in northern Kirkuk gover-norate, Iraq using RUSLE, Remote sensing and GIS. Carpathian J Earth Environ Sci 11: 153–166.
    [9] Blanco H, Lal R (2010) Principles of soil conservation and management. Dordrecht, Springer.
    [10] Verheijen FGA, Jones RJA, Rickson RJ, et al. (2009) Tolerable versus actual soil erosion rates in Europe. Earth-Sci Rev 94: 23–38. doi: 10.1016/j.earscirev.2009.02.003
    [11] Wilkinson BH, McElroy BJ (2007) The impact of humans on continental erosion and sedimentation. Geol Soc Am Bull 119: 140–156. doi: 10.1130/B25899.1
    [12] Dutta S (2016) Soil erosion, sediment yield and sedimentation of reservoir: a review. Model Earth Syst Environ 2: 123. doi: 10.1007/s40808-016-0182-y
    [13] Dabral PP, Baithuri N, 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. doi: 10.1007/s11269-008-9253-9
    [14] Pandey A, Mathur A, Mishra SK, et al. (2009) Soil erosion modeling of a Himalayan watershed using RS and GIS. Environ Earth Sci 59: 399–410. doi: 10.1007/s12665-009-0038-0
    [15] Zonunsanga R (2016) Estimation of Soil loss in Teirei watershed of Mizoram by using the USLE Model. Sci Technol J 4: 43–47. doi: 10.22232/stj.2016.04.01.06
    [16] Adornado HA, Yoshida M, Apolinares H (2009) Erosion Vulnerability Assessment in REINA, Quezon Province, Philippines with Raster-based Tool Built within GIS Environment. Agric Inf Res 18: 24–31.
    [17] Kisan MV, Khanindra P, Narayan TK, et al. (2016) Remote sensing and GIS based assessment of soil erosion and soil loss risk around hill top surface mines situated in Saranda forest, Jharkhand. J Water Clim Change 7: 68–82. doi: 10.2166/wcc.2015.100
    [18] Naqvi RH, Mallick J, Devi LM, et al. (2013) Multi-temporal annual soil loss risk mapping employing Revised Universal Soil Loss Equation (RUSLE) model in Nun Nadi Watershed, Uttrakhand (India). Arabian J Geosci 6: 4045–4056. doi: 10.1007/s12517-012-0661-z
    [19] Mandal D, Sharda VN (2011) Appraisal of soil erosion risk in the eastern Himalayan region of India for soil conservation planning. Land Degrad Dev 24: 430–437.
    [20] Benavidez R, Jackson B, Maxwell D, et al. (2018) A review of the (revised) universal soil loss equation (R/USLE): with a view to increasing its global applicability and improving soil loss estimates. Hydrol Earth Syst Sci Discuss 22: 6059–6086. doi: 10.5194/hess-22-6059-2018
    [21] Tessema YM, Jasinska J, Yadeta LT, et al. (2020) Soil loss estimation for conservation planning in Welmel Watershed of the Geale Dawa basin, Ethiopia. Agronomy 10: 777. doi: 10.3390/agronomy10060777
    [22] Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses, USDA Agricultural Research Services. Handbook 537. Washington, DC: USDA, 57.
    [23] Renard KG, Foster GA, Weesies DK, et al. (1977) Predicting Soil Erosion by Water: A Guide to Conservation Planning with Revised Soil Loss Equation (RUSLE). Handbook No. 703, Department of Agriculture, Washington DC, USA, 384.
    [24] Cohen MJ, Shepard KD, Walsh MG (2005) Empirical reformulation of universal soil loss equation risk assessment in a tropical watershed. Geoderma 124: 235–252. doi: 10.1016/j.geoderma.2004.05.003
    [25] Saha R, Chaudhary RS, Somasundaram J (2018) Soil health management under hill agroecosystem of northeast India. Appl Environ Soil Sci 2012: 1–9. doi: 10.1155/2012/696174
    [26] Bera A (2017) Assessment of soil loss by universal soil loss equation (USLE) model using GIS techniques: A case study of Gumti river basin, Tripura, India. Model Earth Syst Environ 3: 29. doi: 10.1007/s40808-017-0289-9
    [27] Ghosh K, De SK, Bandyopadhyaya S, et al. (2013) Assessment of soil loss of the Dhalai river basin, Tripura, India using USLE. Int J Geosci 4: 11–23. doi: 10.4236/ijg.2013.41002
    [28] Kumar JM, Nurual A (2020) The impact of land use dynamics on the soil erosion in the Panchnoi river basin, northeast India. J Geogr Inst Cvijic 70: 1–14. doi: 10.2298/IJGI2001001J
    [29] Das R, Gogoi B, Jaiswal MK (2020) Soil loss assessment in Sadiya region, Assam, India using remote sensing and GIS. Indian J Sci Technol 13: 2319–2327. doi: 10.17485/IJST/v13i23.588
    [30] Olaniya M, Bora PK, Day S, et al. (2020) Soil erodibility indices under different land uses in Ri-Bhoi district of Meghalaya (India). Sci Rep 10: 14986. doi: 10.1038/s41598-020-72070-y
    [31] Gaubi I, Chaabani A, Ben Mammou A, et al. (2017) A GIS-based soil erosion prediction using the revised universal soil loss equation (rusle) (lebna watershed, cap bon, tunisia). Nat Hazards 86: 219–239. doi: 10.1007/s11069-016-2684-3
    [32] Rahaman SA, Aruchamy S, Jegankumar R, et al. (2015) Estimation of annual average soil loss, based on RUSLE model in Kallar watershed, Bhavani basin, Tamil Nadu, India. ISPRS Ann Photogram Remote Sens Spat Inf Sci 2: 207–214. doi: 10.5194/isprsannals-II-2-W2-207-2015
    [33] Fernandez C, Wu JQ, McCool DK, et al. (2003) Estimating water erosion and sediment yield with GIS, RUSLE, and SEDD. J Soil Water Conserv 58: 128–136.
    [34] Kouli M, Soupios P, Vallianatos F (2009) Soil erosion prediction usingthe Revised Universal Soil Loss Equation (RUSLE) in a GIS frame-work, Chania, Northwestern Crete, Greece. Environ Geol 57: 483–497. doi: 10.1007/s00254-008-1318-9
    [35] Panagos P, Borelli P, Poesen J, et al. (2015) The new assessment of soil loss by water erosion in Europe. Environ Sci Policy 54: 438–447. doi: 10.1016/j.envsci.2015.08.012
    [36] 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 6: 533–543. doi: 10.1007/s40808-019-00700-0
    [37] Dutta D, Das S, Kundu A, et al. (2015) Soil erosion risk assessment in Sanjal watershed, Jharkhand (India) using geo-informatics, RUSLE Model and TRMM data. Model Earth Syst Environ 1: 37. doi: 10.1007/s40808-015-0034-1
    [38] Prasannakumar V, Vijith H, Abinod S, et al. (2012) Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using revised universal soil loss equation (RUSLE) and geo-information technology. Geosci Front 3: 209–215. doi: 10.1016/j.gsf.2011.11.003
    [39] Toumi S, Meddi M, Mahé G, et al. (2013) Cartographie de l'érosiondans le bassin versant de l'Oued Mina enAlgérie par télédétectionet SIG. Hydrol Sci J 58: 1542–1558. doi: 10.1080/02626667.2013.824088
    [40] Pan J, Wen Y (2014) Estimation of soil erosion using RUSLE in Caijiamiao watershed, China. Nat Hazards 71: 2187–2205. doi: 10.1007/s11069-013-1006-2
    [41] Balasubramani K, Veena M, Kumaraswamy K, et al. (2015) Estimation of soil erosion in a semi-arid watershed of Tamil Nadu (India) using revised universal soil loss equation (rusle) model through GIS. Model Earth Syst Environ 1: 10. doi: 10.1007/s40808-015-0015-4
    [42] Terranova O, Antronico L, Coscarelli R, et al. (2009) Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS: an application model for Calabria (southern Italy). Geomorphology 112: 228–245. doi: 10.1016/j.geomorph.2009.06.009
    [43] Ghosal K, Bhattacharya SD (2020) A Review of RUSLE Model. J Indian Soc Remote Sens 48: 689–707. doi: 10.1007/s12524-019-01097-0
    [44] Singh G, Chandra S, Babu R (1981) Soil loss and prediction research in India. Central Soil and Water Conservation Research Training Institute, Bulletin No.T-12/D9.
    [45] Khal M, Algouti A, Algouti A, et al (2020) Evaluation of open Digital Elevation Models: estimation of topographic indices relevant to erosion risk in the Wadi M'Goun watershed, Morocco. AIMS Geosci 6: 231–257. doi: 10.3934/geosci.2020014
    [46] Das B, Paul A, Bordoloi R, et al. (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 4: 373–381. doi: 10.1007/s40808-018-0435-z
    [47] Renard KG, Foster GR (1983) Soil conservation: principles of erosion by water. In: Dregne HE, Wills WO (Eds.), Dry land Agriculture, American Society of Agronomy, Soil Science Society of America, Madison, WI, USA, 155–176.
    [48] Chatterjee S, Krishna AP, Sharma AP (2014) Geospatial assessment of soil erosion vulnerability at watershed level in some sections of the Upper Subarnarekha river basin, Jharkhand, India. Environ Earth Sci 71: 357–374. doi: 10.1007/s12665-013-2439-3
    [49] Ozsahin E, Duru U, Eroglu I (2018) Land Use and Land Cover Changes (LULCC), a Key to Understand Soil Erosion Intensities in the Maritsa Basin. Water 10: 335. doi: 10.3390/w10030335
    [50] Bhattacharya R, Ghosh BN, Mishra PK, et al. (2015) Soil degradation in India: Challenges and Potential solutions. Sustainability 7: 3528–3570. doi: 10.3390/su7043528
    [51] Flanagan DC, Nearing MA (1995) Hill slope profile and watershed model documentation. Report No. 10, USDA ARS National Soil Erosion Research Laboratory West Lafayette, Indian 47907.
    [52] Saha R, Majumdar B, Das K (2015) Soil conservation management practices for fragile ecosystem of northeast India. In: Bhan S, Arora S (eds), International Conference Proceedings on Natural Resource Management for Food Security and Rural Livelihoods, Soil Conservation Society of India, 1–8.
    [53] Joshi V, Suswara N, Sinha D (2016) Estimating soil loss from a watershed in Western Deccan, India using Revised Universal Soil Loss Equation. Landscape Environ 10: 13–25. doi: 10.21120/LE/10/1/2
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