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DOI10.3390/rs16040661
Rainfall Erosivity Characteristics during 1961-2100 in the Loess Plateau, China
发表日期2024
EISSN2072-4292
起始页码16
结束页码4
卷号16期号:4
英文摘要Rainfall erosivity, which signifies the inherent susceptibility of soil erosion induced by precipitation, plays a fundamental role in formulating a comprehensive soil loss equation (RUSLE). It stands as a crucial determinant among the foundational factors considered in a comprehensive soil loss equation's establishment. Nonetheless, the prediction and quantification of future alterations in rainfall erosivity under the influence of global warming have been relatively limited. In this study, climate change was widely evaluated and 10 preferred global climate models in the Loess Plateau were selected by using the data sets of 27 models simulating climate change and the CN05.1 data set provided by the latest CMIP6. The monthly precipitation forecast data were obtained by using the delta downscaling method. Combined with trend analysis, significance test, and coefficient of variation, the annual rainfall erosivity during 1961-2100 under four SSP scenarios was analyzed and predicted. Among the 27 GCM models used in this paper, the most suitable climate models for simulating monthly precipitation in the Loess Plateau were CMCC-CM2-SR5, CMCC-ESM2, TaiESM1, EC-Earth3, EC-Earth-Veg-LR, INM-CM4-8, CAS-ESM2-0, EC-Earth-Veg, ACCESS-ESM1-5, and IPSL-CM6A-LR. In comparison to the base period (1961-1990), during the historical period (1961-2014), the average annual rainfall erosivity on the Loess Plateau amounted to 1259.64 MJ center dot mm center dot hm-2 center dot h-1 center dot a-1, showing an insignificant downward trend. In the northwest of Ningxia, Yulin City and Yanan City showed a significant upward trend. In the future period (2015-2100), the annual rainfall erosivity continues to constantly change and increase. The potential average increase in rainfall erosivity is about 13.48-25.86%. In terms of spatial distribution, most areas showed an increasing trend. Among these regions, the majority of encompassed areas within Shanxi Province, central Shaanxi, and Inner Mongolia increased greatly, which was not conducive to soil and water conservation and ecological environment construction. This study offers a scientific reference for the projected future erosivity characteristics of the Loess Plateau.
英文关键词global climate model; annual rainfall erosivity; Loess Plateau; emission scenarios; future change projections
语种英语
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:001172357700001
来源期刊REMOTE SENSING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/288112
作者单位North China University of Water Resources & Electric Power
推荐引用方式
GB/T 7714
. Rainfall Erosivity Characteristics during 1961-2100 in the Loess Plateau, China[J],2024,16(4).
APA (2024).Rainfall Erosivity Characteristics during 1961-2100 in the Loess Plateau, China.REMOTE SENSING,16(4).
MLA "Rainfall Erosivity Characteristics during 1961-2100 in the Loess Plateau, China".REMOTE SENSING 16.4(2024).
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