449
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Prioritization of soil erosion prone areas in upper Brahmaputra River Basin up to Majuli River Island

&
Pages 1999-2017 | Received 22 May 2020, Accepted 28 Jul 2020, Published online: 28 Aug 2020

References

  • Amsalu T, Mengaw A. 2014. GIS based soil loss estimation using rusle model: the case of jabi tehinan woreda, ANRS, Ethiopia. Nat Resour. 5(11):616–626.
  • Angima SD, Stott DE, O’neill MK, Ong CK, Weesies GA. 2003. Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agr Ecosyst Environ. 97(1–3):295–308.
  • Barman S, Bhattacharjya RK. 2015. Change in snow cover area of Brahmaputra river basin and its sensitivity to temperature. Environ Syst Res. 4(1):1–10.
  • Bewket W, Teferi E. 2009. Assessment of soil erosion hazard and prioritization for treatment at the watershed level: case study in the Chemoga watershed, Blue Nile basin. Land Degrad Dev. 20(6):609–622.
  • Bou R, Chadi A, Micael R, Ulrik M. 2008. Landscape and urban planning designing erosion management plans in Lebanon using remote sensing. GIS Decis-Tree Model. 88:54–63.
  • Cai CF, Ding SW, Shi ZH, Huang L, Zhang GY. 2000. Study of applying USLE and geographical information system IDRISI to predict soil erosion in small watershed. J Soil Water Conserv. 14(2):19–24.
  • Conforti M, Aucelli PP, Robustelli G, Scarciglia F. 2011. Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy). Nat Hazards. 56(3):881–898.
  • Da Cunha ER, Bacani VM, Panachuki E. 2017. Modeling soil erosion using RUSLE and GIS in a watershed occupied by rural settlement in the Brazilian Cerrado. Nat Hazards. 85(2):851–868.
  • Donigian AS. 1986. Integration of runoff and receiving water models for comprehensive watershed simulation and analysis of agricultural management alternatives: Agricultural Nonpoint Source Pollution: Model Selection and Application. Amsterdam: Netherlands; p. 265–275.
  • Dutta MK, Barman S, Aggarwal SP. 2010. A study of erosion-deposition processes around Majuli Island, Assam. Earth Science India. 3(4):206–216.
  • Fistikoglu O, Harmancioglu NB. 2002. Integration of GIS with USLE in assessment of soil erosion. Water Resour Manag. 16(6):447–467.
  • Ganasri BP, Ramesh H. 2016. Assessment of soil erosion by RUSLE model using remote sensing and GIS-A case study of Nethravathi Basin. Geosci Front. 7(6):953–961.
  • Gashaw T, Tulu T, Argaw M. 2018. Erosion risk assessment for prioritization of conservation measures in Geleda watershed, Blue Nile basin, Ethiopia. Environ Syst Res. 6(1):1.
  • Goswami DC. 1985. Brahmaputra River, Assam, India: physiography, basin denudation, and channel aggradation. Water Resour Res. 21(7):959–978.
  • Gupta S, Kumar S. 2017. Simulating climate change impact on soil erosion using RUSLE model − A case study in a watershed of mid-Himalayan landscape. J Earth Syst Sci. 126(3):43.
  • Imamoglu A, Dengiz O. 2017. Determination of soil erosion risk using RUSLE model and soil organic carbon loss in Alaca catchment (Central Black Sea region, Turkey). Rend Fis Acc Lincei. 28(1):11–23.
  • Jain MK, Das D. 2010. Estimation of sediment yield and areas of soil erosion and deposition for watershed prioritization using GIS and remote sensing. Water Resour Manag. 24(10):2091–2112.
  • Jain SK, Kumar S, Varghese J. 2001. Estimation of soil erosion for a Himalayan watershed using GIS technique. Water Resour Manag. 15(1):41–54.
  • Jha MK, Paudel RC. 2010. Erosion predictions by empirical models in a mountainous watershed in Nepal. J Spat Hydrol. 10(1):89–102.
  • Kamaludin H, Lihan T, Ali Rahman Z, Mustapha MA, Idris WMR, Rahim SA. 2013. Integration of remote sensing, RUSLE and GIS to model potential soil loss and sediment yield (SY). Hydrol Earth Syst Sci Discuss. 10(4):4567–4596.
  • Kothyari UC, Singh VP. 1996. Rainfall and temperature trends in India. Hydrol Process. 10(3):357–372.
  • Kumar Pradhan R, Srivastava PK, Maurya S, Kumar Singh S, Patel DP. 2020. Integrated framework for soil and water conservation in Kosi River Basin. Geocarto Int. 35(4):391–410.
  • Lazzari M, Gioia D, Piccarreta M, Danese M, Lanorte A. 2015. Sediment yield and erosion rate estimation in the mountain catchments of the Camastra artificial reservoir (Southern Italy): a comparison between different empirical methods. Catena. 127:323–339.
  • Lee GS, Lee KH. 2006. Scaling effect for estimating soil loss in the RUSLE model using remotely sensed geospatial data in Korea. Hydrol Earth Syst Sci Discuss. 3(1):135–157.
  • Memon N, Patel DP, Bhatt N, Patel SB. 2020. Integrated framework for flood relief package (FRP) allocation in semiarid region: a case of Rel River flood, Gujarat, India. Nat Hazards. 100(1):279–311.
  • Mondal A, Khare D, Kundu S. 2018. A comparative study of soil erosion modelling by MMF, USLE and RUSLE. Geocarto Int. 33(1):89–103.
  • Narayana DV, Babu R. 1983. Estimation of soil erosion in India. J Irrig Drain Eng. 109(4):419–434.
  • Panditharathne DLD, Abeysingha NS, Nirmanee KGS, Mallawatantri A. 2019. Application of revised universal soil loss equation (Rusle) model to assess soil erosion in “kalu Ganga” River Basin in Sri Lanka. Appl Environ Soil Sci. 2019:1–15.
  • Renard KG. 1997. Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). Washington, DC, USA: United States Government Printing.
  • Sahay A, Roy N. 2017. Shrinking space and expanding population: socioeconomic impacts of Majuli’s changing geography. Focus Geo. 60(2):NA–NA.
  • Samanta S, Koloa C, Pal DK, Palsamanta B. 2016. Estimation of potential soil erosion rate using RUSLE and E 30 model. Model Earth Syst Environ. 2(3):149.
  • Sankhua RN, Sharma N, Garg PK, Pandey AD. 2005. Use of remote sensing and ANN in assessment of erosion activities in Majuli, the world's largest river island. Int J Remote Sens. 26(20):4445–4454.
  • Sarma D. 2013. Rural risk assessment due to flooding and riverbank erosion in Majuli, Assam, India. University of Twente Faculty of Geo-Information and Earth Observation (ITC).
  • Seidel K, Martinec J. 2001. Snowmelt contributions to runoff in an extremely wide altitude range from large area satellite imagery. 5th International Workshop on the Applications of Remote Sensing in Hydrology, Montpellier, France.
  • Shiferaw A. 2011. Estimating soil loss rates for soil conservation planning in the Borena Woreda of South Wollo Highlands, Ethiopia. JSDA. 13(3):87–106.
  • Shinde V, Tiwari KN, Singh M. 2010. Prioritization of micro watersheds on the basis of soil erosion hazard using remote sensing and geographic information system. Int J Water Resour Environ Eng. 2(3):130–136.
  • Singh, G., Babu, R. and Chandra, S.,1981. Soil loss and prediction research in India. Central Soil and Water Conservation Research Training Institute Bulletin. Vol. 9. T–12.
  • Singh V, Sharma N, Ojha CSP, editors. 2004. The Brahmaputra basin water resources. Vol. 47. Dordrecht, The Netherlands: Springer Science & Business Media.
  • Song X, Duan Z, Niu H, Kono Y. 2009. Estimation of the cover and management factor for modeling soil erosion using remote sensing. J Beijing For Univ. 31(3):58–63.
  • United States Department of Agriculture USDA. 1981. Handbook no. 282, USA.
  • Van Remortel RD, Hamilton ME, Hickey RJ. 2001. Estimating the LS factor for RUSLE through iterative slope length processing of digital elevation data within Arclnfo grid. Cartography. 30(1):27–35.
  • Vatandaşlar C, Yavuz M. 2017. Modeling cover management factor of RUSLE using very high-resolution satellite imagery in a semiarid watershed. Environ Earth Sci. 76(2):65.
  • Walling DE. 1983. The sediment delivery problem. J Hydrol. 65(1–3):209–237.
  • Walling DE. 1988. Erosion and sediment yield research—some recent perspectives. J Hydrol. 100(1–3):113–141.
  • Wawer R, Nowocien E, Podolski B. 2005. Eal and calculated kusle erobility factor for selected Polish soils. Pol J Environ Stud. 14(5):655–658.
  • Wischmeier WH, Smith DD. 1978. Predicting rainfall erosion losses: a guide to conservation planning (No. 537). Department of Agriculture, Science and Education Administration, USDA-ARS, USA.
  • Zare M, Samani AN, Mohammady M, Salmani H, Bazrafshan J. 2017. Investigating effects of land use change scenarios on soil erosion using CLUE-s and RUSLE models. Int J Environ Sci Technol. 14(9):1905–1918.
  • Zhang L, Bai KZ, Wang MJ, Karthikeyan R. 2016. Basin-scale spatial soil erosion variability: pingshuo opencast mine site in Shanxi Province, Loess Plateau of China. Nat Hazards. 80(2):1213–1230.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.