Prediction of soil erosion risk using earth observation data under recent emission scenarios of CMIP6
dc.contributor.author | Kumar, Nirmal | |
dc.contributor.author | Singh, Sudhir Kumar | |
dc.contributor.author | Dubey, Amit Kumar | |
dc.contributor.author | Ray, Ram L. | |
dc.contributor.author | Mustak, Sk. | |
dc.contributor.author | Rawat, Kishan Singh | |
dc.date.accessioned | 2024-01-21T10:51:48Z | |
dc.date.accessioned | 2024-08-14T06:47:39Z | |
dc.date.available | 2024-01-21T10:51:48Z | |
dc.date.available | 2024-08-14T06:47:39Z | |
dc.date.issued | 2021-08-26T00:00:00 | |
dc.description.abstract | 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. � 2021 Informa UK Limited, trading as Taylor & Francis Group. | en_US |
dc.identifier.doi | 10.1080/10106049.2021.1973116 | |
dc.identifier.issn | 10106049 | |
dc.identifier.uri | https://kr.cup.edu.in/handle/32116/4075 | |
dc.identifier.url | https://www.tandfonline.com/doi/full/10.1080/10106049.2021.1973116 | |
dc.language.iso | en_US | en_US |
dc.publisher | Taylor and Francis Ltd. | en_US |
dc.subject | CMIP 6 | en_US |
dc.subject | earth observation data | en_US |
dc.subject | Himalayan river | en_US |
dc.subject | LS factor | en_US |
dc.subject | rainfall erosivity | en_US |
dc.subject | Shared Socioeconomic Pathways (SSP) | en_US |
dc.title | Prediction of soil erosion risk using earth observation data under recent emission scenarios of CMIP6 | en_US |
dc.title.journal | Geocarto International | en_US |
dc.type | Article | en_US |
dc.type.accesstype | Closed Access | en_US |