基于地形复杂度的山区水土流失风险评价

doi:10.16843/j.sswc.2023136

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Abstract [Background] In studies related to soil and water loss, the primary emphasis is frequently placed on large-scale regional data, presenting a challenge in effectively articulating the specific conditions found in small-scale mountainous areas. Investigating fine-scale conditions in small mountainous regions is of significant practical importance for assessing soil and water loss. [Methods] This study utilized unmanned aerial vehicle (UAV) data to generate high-precision digital elevation model (DEM) and 3D model. Based on DEM data, multiple terrain factors were calculated, and the classification of terrain factors was achieved through correlation analysis and cluster analysis. Subsequently, the selection and weighting of terrain factors were accomplished using the variation coefficient method and principal component analysis, leading to the establishment of a terrain complexity model. Later, a constant offset was introduced and normalized within the terrain complexity model to derive a soil and water loss risk assessment factor model. Finally, validation analysis was conducted by comparing it with 3D model and on-site reconnaissance data. [Results] 1) Coefficients for slope, surface incision depth, profile curvature, and plan curvature in the soil and water loss risk assessment factor model were 1.933, 0.338, 0.206, and 2.633, respectively. 2) In the entire study area, the medium risk area accounted for 28.50%, with a dispersed distribution. The very high risk area accounted for 4.42%, concentrated in the south and northwest. Overall, the area was predominantly at a medium to low risk. 3) The risk of soil and water loss was higher in regions F1 and F2 due to factors such as steep terrain, low vegetation coverage, and soil desertification. The F3 region exhibited relatively mild soil and water loss due to its flat terrain and extensive cultivation of crops. [Conclusions] The model is capable of accurately delineating areas prone to soil and water loss, providing valuable insights for geoscientific research on soil and water loss and sedimentation in small-scale mountainous regions.

Key words： UAV terrain complexity soil and water loss correlation analysis variation coefficient principal component analysis

Received: 26 September 2023

PACS:

P237

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	Articles by authors
	WEI Xiuyun
	GAN Shu
	YUAN Xiping
	LI Raobo

Cite this article:

WEI Xiuyun,GAN Shu,YUAN Xiping, et al. Terrain complexity-based assessment of soil and water loss risk in mountainous regions[J]. SSWC, 2024, 22(4): 25-33.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2023136 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2024/V22/I4/25

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