Prediction of soil erosion risk using earth observation data under recent emission scenarios of CMIP6

被引:17
|
作者
Kumar, Nirmal [1 ]
Singh, Sudhir Kumar [1 ]
Dubey, Amit Kumar [2 ]
Ray, Ram L. [3 ]
Mustak, Sk [4 ]
Rawat, Kishan Singh [5 ]
机构
[1] Univ Allahabad, K Banerjee Ctr Atmospher & Ocean Studies, Prayagraj, Uttar Pradesh, India
[2] Space Applicat Ctr, Land Hydrol Div, Ahmadabad, Gujarat, India
[3] Prairie View A&M Univ, Coll Agr & Human Sci, Prairie View, TX USA
[4] Cent Univ Punjab, Sch Environm & Earth Sci, Dept Geog, Bathinda, Punjab, India
[5] Graph Era Deemed Univ, Civil Engn Dept, Geoinformat, Dehra Dun, Uttarakhand, India
关键词
Shared Socioeconomic Pathways (SSP); rainfall erosivity; Himalayan river; CMIP; 6; earth observation data; LS factor; CLIMATE-CHANGE; SEDIMENT YIELD; WATER EROSION; RUSLE; GIS; MODEL; IMPACT; REGION;
D O I
10.1080/10106049.2021.1973116
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The earth observation data and CMIP6 models were used to predict plausible soil loss from the Ghaghara river basin. The decadal prediction of soil loss (28.64 ton/ha/year) was found high for SSP585 of CanESM5 during 2015-2025. However, the lower value was reported as 21.71 ton/ha/year for SSP245 of MRI-ESM2-0 during 2035-2045. The century level future rainfall erosivity factor was found lowest for SSP245, however highest for SSP585 of Access-ESM1-5, CanESM5, and IPSL-CM6A-LR. The SSP585 (Access-ESM1-5, CanESM5, and IPSL-CM6A-LR) have maximum soil erosion rate as 29.07, 28.03, and 28.0 ton/ha/year, respectively. For the SSP585, increments were observed as 35.93%, 31.04%, and 30%, respectively, compared to the baseline year (2014). Whereas, lowest was reported as 21.7 and 24.9 ton/ha/year and consequently the low increment as 1.31% and 16.55% for both scenarios of MRI-ESM2-0 compared to baseline. We observed that the soil erosion rate is aligned with the predicted rainfall erosivity factor.
引用
收藏
页码:7041 / 7064
页数:24
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