Soil erosion in future scenario using CMIP5 models and earth observation datasets
نویسندگان
چکیده
Abstract Rainfall and land use/land cover changes are significant factors that impact the soil erosion processes. Therefore, present study aims to investigate of rainfall in current future scenarios deduce losses using state-of-the-art Revised Universal Soil Loss Equation (RUSLE). In this study, we evaluated long-term (period 1981–2040) through statistical measures used subsequently loss prediction. The produced Cellular Automata Markov Chain model (CA-Markov) simulation multi-temporal Landsat datasets, while long term data was obtained from Coupled Model Intercomparison Project v5 (CMIP5) Indian Meteorological Department. total seven CMIP5 projections viz Ensemble mean, MRI-CGCM3, INMCM4, canESM2, MPI-ESM-LR, GFDL-ESM2M GFDL-CM3 were used. (2011–2040) then made after calibrating on historic datasets. applicability proposed method has been tested over Mahi River Basin (MRB), a region key environmental significance India. finding showed rainfall-runoff erosivity gradually decreases 475.18 MJ mm/h/y (1981–1990) 425.72 MJ mm/h/y (1991–2000). A value 428.53 MJ mm/h/y 2001–2010, significantly high values 661.47 MJ mm/h/y reported for 2011–2040 ensemble mean output CMIP5. combined results reveal occurred during 1981–1990 55.23 t/ha/y (1981–1990), which is increased 56.78 t/ha/y 1991–2000 57.35 t/ha/y 2000–2010. projected it would increase 71.46 t/h/y 2011–2040. outcome can be provide reasonable assistance identifying suitable conservation practices MRB.
منابع مشابه
CMIP5 Earth System Models
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ژورنال
عنوان ژورنال: Journal of Hydrology
سال: 2021
ISSN: ['2589-9155']
DOI: https://doi.org/10.1016/j.jhydrol.2020.125851