Study on multidimensional changes of rainfall erosivity during 1970-2017 in the North-South Transition Zone, China

被引:3
|
作者
Li, Li [1 ]
Zhu, Wenbo [2 ]
Liu, Junjie [3 ]
Zhang, Li [4 ]
Zhu, Lianqi [2 ]
Wang, Liyuan [2 ]
Chen, Chaonan [2 ]
Ahmed, Naveed [5 ]
Gurung, Sher Bahadur [6 ]
机构
[1] Beijing Normal Univ, Sch Govt, Beijing, Peoples R China
[2] Henan Univ, Coll Geog & Environm Sci, Kaifeng, Peoples R China
[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
[4] Beijing Normal Univ, Coll Water Sci, Beijing, Peoples R China
[5] Natl Univ Comp & Emerging Sci, FAST, Dept Civil Engn, Islamabad, Pakistan
[6] Tribhuvan Univ, Cent Dept Geog, Kirtipur, Nepal
关键词
rainfall erosivity; geographic detectors; relief degree; multidimensional change; Qinling-Daba mountains; SOIL-EROSION; LOESS PLATEAU; TEMPORAL VARIABILITY; RIVER BASIN; PRECIPITATION; PATTERNS; PROVINCE; RUNOFF; TRENDS;
D O I
10.3389/fenvs.2022.969522
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China is one of the world's most seriously affected regions by water and soil erosion. Soil erosion is a major cause and an important component of land degradation, which has a negative impact on ecological protection and sustainable socioeconomic development. Rainfall erosivity (RE) is one of the key parameters to assess the degree of soil erosion. Quantifying the content of RE and the formation mechanism is important to accurately measure the degree of soil erosion and provide a theoretical basis for soil erosion management. Here, this study analyzed the spatial and temporal characteristics of RE and their driving mechanisms in the Qinba Mountains from 1970 to 2017 using a daily rainfall model. Furthermore, geographical detector methods were used to quantitatively identify the dominant factors affecting RE and the dominant factors affecting RE on different topographic reliefs. The results showed that the RE between 1970 and 2017 averaged 4,197.85 MJ mm hm(-2) h(-1) a(-1), with a mutation coefficient of 0.16. The spatial distribution of RE is high in the southeast and low in the northwest, and the mean annual RE declines with the increase in latitude in longitude and increases with the reduction in longitude in latitude. In addition, precipitation and temperature are the main factors affecting the spatial distribution of RE. Among these, precipitation can explain about 97% of the RE and temperature can explain about 65% of the RE. These findings should be essential for managing soil and water loss in the North-South Transition Zone, China.
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页数:14
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