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

被引：22

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

来源：

GEOCARTO INTERNATIONAL | 2022年 / 37卷 / 24期

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

页码：7041 / 7064

页数：24

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