Spatial and Temporal Variability of Rainfall Erosivity in the Niyang River Basin

被引:1
|
作者
Bai, Qingqin [1 ,2 ]
Wang, Lei [3 ]
Cidan, Yangzong [1 ,2 ]
机构
[1] Xizang Agr & Anim Husb Univ, Coll Water Conservancy & Civil Engn, Linzhi 860000, Peoples R China
[2] Xizang Agr & Anim Husb Univ, Res Ctr Civil Hydraul & Power Engn Xizang, Linzhi 860000, Peoples R China
[3] North China Univ Water Resources & Elect Power, Coll Water Resources, Zhengzhou 450046, Peoples R China
关键词
precipitation; rainfall; erosivity; runoff; spatial statistical; correlation analysis; Niyang River Basin; soil erosion; plateau region of China; PRECIPITATION; EROSION;
D O I
10.3390/atmos15091032
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Rainfall erosivity is a crucial factor in the evaluation of soil erosion, significantly influencing the complex relationships among water, soil, and the environment. Understanding its attributes and variations in space and time is essential for effective water resource management, erosion mitigation, and land-use planning. This paper utilizes daily precipitation data from 123 grid points in the Niyang River Basin, spanning from 2008 to 2016, to calculate rainfall erosivity using a straightforward algorithmic model. Ordinary Kriging was used to examine the spatial and temporal variations in rainfall erosivity, while Spearman's correlation analysis was employed to examine the relationships between annual rainfall erosivity and various factors, including multi-year average precipitation, erosive rainfall, dry-season rainfall, wet-season rainfall, temperature, and elevation. The results indicate a year-by-year increase in rainfall erosivity in the basin, with a trend towards stabilization. The average annual rainfall erosivity over the years is 711 MJ<middle dot>mm<middle dot>hm-2<middle dot>h-1, peaking at 1098 MJ<middle dot>mm<middle dot>hm-2<middle dot>h-1 in 2014. A significant 93.9% of rainfall erosivity is concentrated in the wet season, with a maximum of 191 MJ<middle dot>mm<middle dot>hm-2<middle dot>h-1 in July. The left bank of the mainstream, especially the central and lower sections of the main river and its tributaries, experiences the highest rainfall erosivity. Rainfall factors predominantly influence erosivity, with erosive rainfall showing the strongest correlation (rho = 0.93), while temperature and elevation have relatively minor effects. This study enhances the understanding of rainfall erosive forces in the plateau region and provides a scientific basis for predicting soil loss, developing effective erosion control measures, and ensuring sustainable land use.
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页数:20
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