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Academic Journal of Environmental Biology, 2022, 3(4); doi: 10.38007/AJEB.2022.030402.

Spatial-temporal Analysis of Soil Erosion Based on Spatial Model and GIS Technology


Lujue Yan

Corresponding Author:
Lujue Yan

College of Humanities and Sciences Northeast Normal University, Changchun, China


In recent years, with the increase of population and economic and social development, unreasonable agricultural farming methods, indiscriminate deforestation, overgrazing and other unreasonable human activities have aggravated the impact of regional soil erosion(SE), seriously affecting the security of land resources. In-depth study of the occurrence mechanism of regional SE, analysis of the distribution pattern and temporal and spatial characteristics of regional SE, and accurate assessment of the amount of regional SE are of great significance for protecting surface soil resources, reducing land degradation, protecting the ecological environment, and alleviating SE problems in my country and the world important meaning. In this paper, combined with spatial model and GIS technology, the RULE model is used to quantitatively evaluate wind erosion and hydraulic erosion in a county, calculate and count the modulus of wind erosion and hydraulic erosion, obtain the spatiotemporal distribution characteristics of SE factors in the county, and master the SE in the county. The spatial and temporal distribution of feng shui erosion. The research results show that the wind erosion factor reached the highest value in the year in May, and the overall space showed a decreasing trend from east to west. The hydraulic erosion is analyzed based on the rainfall erosion factor, which is relatively strong in June, July and August, and relatively weak in other months, and generally shows a decreasing trend from northwest to southeast in space.


Spatial Model, GIS Technology, Soil Erosion, Spatiotemporal Features

Cite This Paper

Lujue Yan. Spatial-temporal Analysis of Soil Erosion Based on Spatial Model and GIS Technology. Academic Journal of Environmental Biology (2022), Vol. 3, Issue 4: 10-17. https://doi.org/10.38007/AJEB.2022.030402.


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