IJEP 42(12): 1509-1516 : Vol. 42 Issue. 12 (December 2022)
Mannu Yadav1 and R. C. Vaishya2*
1. Motilal Nehru National Institute of Technology Allahabad, Geographic Information System (GIS) Cell, Prayagraj – 211 004, Uttar Pradesh, India
2. Motilal Nehru National Institute of Technology Allahabad, Department of Civil Engineering, Prayagraj – 211 004, Uttar Pradesh, India
Abstract
Soil erosion is a major problem for agricultural land in different parts of the world which is mainly affecting the top layer of the soil. Hence, the main aim of this research was to evaluate the average annual soil loss using geospatial tools and techniques with different models for the Ganga river basin in Fatehpur region, Uttar Pradesh, India. In present research work, a comparative study of revised universal soil loss erosion (RUSLE) model and universal soil loss erosion (USLE) model has been done to estimate the annual soil erosion loss in tonne/ha/year. In this study, various datasets have been acquired from different authentic sources for the study area and a conceptual methodology has been applied to calculate the annual average soil loss factor (A). These datasets were processed in ESRI ArcGIS 10.5 and ERDAS imagine software with key informant interview (KII) to prepare the digital thematic layer of input parameters, such as rainfall erosivity factor (R), cover and management factor (C), supporting conservation practice factor (P), slope length and steepness factor (LS) and soil erodibility factor (K). Furthermore, the raster layer of annual soil loss factor (A) has been classified into four categories, such as no erosion, low erosion, moderate erosion and high erosion. As a result, polynomial relationship, using trend analysis, between these two models was analysed as y=0.0119x2+0.362x+2.97 with R2 value to be 0.998. This study would be beneficial for administration for mitigation of soil erosion in the river basin as well as socio-economic activities for the local people.
Keywords
Remote sensing, Soil erosion, RUSLE/USLE, Ganga river, GIS
References
- Bangesh, R.F., et al. 2013. Ecosystem services in Mediterranean river basin: Climate change impact on water provisioning and erosion control. Sci. Total Env., 458-460:246-255.
- Belayneh, M., et al. 2022. Potential soil erosion estimation and area prioritization for better conservation planning in Gumara watershed using RUSLE and GIS techniques. Env. Systems Res. 8(1):1-17.
- Chakraborty, R., et al. 2020. The use of RUSLE and GCMs to predict potential soil erosion associated with climate change in a monsoon-dominated region of eastern India. Arabian J. Geosci., 13(20).
- Chiew, F.H.S., et al. 1995. Simulation of the impacts of climate change of runoff and soil moisture in Australian catchments. J. Hydrol., 167(1-4):121-147.
- Devatha, C.P., et al. 2015. Estimation of soil loss using USLE model for Kulhan watershed, Chattis-garh- A case study. Aquatic Procedia. 4:1429-1436.
- Djoukbala, O., et al. 2018. Estimating of water erosion in semiarid regions using RUSLE equation under GIS environment: Case of Wadi El-Ham watershed in Hodna region, Algeria. Env. Earth Sci., 77(9).
- Elaloui, A., et al. 2022. USLE-based assessment of soil erosion by water in the watershed upstream Tessaoute (Central High Atlas, Morocco). Modelling Earth Systems Env., 3(3):873-885.
- Eniyew, S., et al. 2021. Integrating RUSLE model with remote sensing and GIS for evaluation soil erosion in Telkwonz watershed, north-western Ethiopia. Remote Sensing Applications: Soc. Env., 100623.
- Wischmeier, W.H. and D.D. Smith. 1978. Predicting rainfall erosion losses: A guide to conservation planning (USA). United States Department of Agriculture handbook, USA.
- Fu, B.J., et al. 2005. Assessment of soil erosion at large watershed scale using RUSLE and GIS : A case study in the Loess plateau of China. Land Degrad. Develop., 16(1):17.
- Gashaw, T., et al. 2017. Evaluation and prediction of landuse/land cover changes in the Andassa watershed, Blue Nile basin, Ethiopia. Env. Systems Res., 6(1):17.
- Gayer, A. and S. Saha. 2017. Application of weights-of-evidence (WoE) and evidential belief function (EBF) models for the delineation of soil erosion vulnerable zones : A study on Pathro river basin, Jharkhand, India. Modelling Earth Systems Env., 3(3):1123-1139.
- Jiang, J., et al. 2015. Estimation of soil erosion in some sections of lower Jinsha river based on RUSLE. Natural Hazards : J. Int. Soc. Prevention Mitigation Natural Hazards. 76(3):1831-1847.
- Ketema, A. and G.S. Dwarakish. 2020. Prioriti-zation of sub-watersheds for conservation measures based on soil loss rate in Tikur Wuha watershed, Ethiopia. Arabian J. Geosci., 13(19):1-16.
- Maeda, E.E., et al. 2010. Potential impacts of agricultural expansion and climate change on soil erosion in the Eastern Arc mountains of Kenya. Geomorphol., 123(3-4):279-289.
- Moore, I. D. and G. J. Burch. 1986. Physical basis of the length-slope factor in the universal soil loss equation. Soil Sci. Soc. America. 50(5):1294-1298.
- Nearing, M.A., et al. 2005. Modelling response of soil erosion and runoff to changes in precipitation and cover. Catena. 61(2-3):131-154.
- Neitsch, S.L., et al. 2011. Soil and water assessment tool : Theoretical documentation (version 2). College of Agriculture and IFE Sciences.
- Williams, J.R. and H.D.B. Berndt. 1977. Sediment yield prediction based on watershed hydrology. Transactions of the ASAE. American Society of Agricultural Engineers.
- Sinshaw, B.G., et al. 2021. Watershed-based soil errosion and sediment yield modelling in the Rib watershed of the upper Blue Nile basin, Ethiopia. Energy News. 3:100023.
- Tetford, P.E., et al. 2017. Modelling surface geomorphic processes using the RUSLE and specific stream power in a GIS framework, NE Pelopon-nese, Greece. Modelling Earth Systems Env., 3(4):1229-1244.
- Wischmeier, W. and D. Smith. Predicting rainfall erosion losses from cropland east of the Rocky mountains. In Agricultural handbook (no. 282). U.S. Department of Agriculture and Agricultural Research Service, Brooksville.
- Woldemariam, G.M., et al. 2018. Spatial modelling of soil erosion risk and its implication for conservation planning. The case of the Gobele watershed, East Hararghe zone, Ethiopia. Land. 7(1):25.