Version 1
: Received: 13 November 2020 / Approved: 16 November 2020 / Online: 16 November 2020 (16:19:22 CET)
How to cite:
ZHOU, P.; GE, Y.; JIANG, Y.; XIE, Y.; SI, Z.; YANG, H.; HUO, H.; YU, J.; WEI, G. Assessment of Soil Erosion by the RUSLE Model Using Remote Sensing and GIS: A Case Study of Jilin Province of China. Preprints2020, 2020110435. https://doi.org/10.20944/preprints202011.0435.v1
ZHOU, P.; GE, Y.; JIANG, Y.; XIE, Y.; SI, Z.; YANG, H.; HUO, H.; YU, J.; WEI, G. Assessment of Soil Erosion by the RUSLE Model Using Remote Sensing and GIS: A Case Study of Jilin Province of China. Preprints 2020, 2020110435. https://doi.org/10.20944/preprints202011.0435.v1
ZHOU, P.; GE, Y.; JIANG, Y.; XIE, Y.; SI, Z.; YANG, H.; HUO, H.; YU, J.; WEI, G. Assessment of Soil Erosion by the RUSLE Model Using Remote Sensing and GIS: A Case Study of Jilin Province of China. Preprints2020, 2020110435. https://doi.org/10.20944/preprints202011.0435.v1
APA Style
ZHOU, P., GE, Y., JIANG, Y., XIE, Y., SI, Z., YANG, H., HUO, H., YU, J., & WEI, G. (2020). Assessment of Soil Erosion by the RUSLE Model Using Remote Sensing and GIS: A Case Study of Jilin Province of China. Preprints. https://doi.org/10.20944/preprints202011.0435.v1
Chicago/Turabian Style
ZHOU, P., Junchuan YU and Guanyuan WEI. 2020 "Assessment of Soil Erosion by the RUSLE Model Using Remote Sensing and GIS: A Case Study of Jilin Province of China" Preprints. https://doi.org/10.20944/preprints202011.0435.v1
Abstract
The accurate assessment and monitoring of soil erosion is of great significance for guiding food production and ensuring ecological security, and it is a current research hotspot. In this paper, remote sensing and geographic information systems (GISs) are combined with the Revised Universal Soil Loss Equation (RUSLE model) to carry out research on soil erosion monitoring and make a quantitative evaluation. According to five factors, including rainfall erosivity, soil erodibility, topography, vegetation cover, crop management and water and soil conservation measures, the distribution of the soil erosion rate in Jilin Province in 2019 was mapped, and the soil erosion rate was divided into 5 levels according to the degree of erosion, including very slight, slight, moderate, severe and extremely severe erosion. Based on the segmented S-slope factor model and the unique topographical features of the study area, the relationships among the soil erosion rate, erosion risk level, erosion area, erosion amount and slope angle (θ) were systematically analysed, and a slope angle of 15° was identified as the threshold for soil erosion on sloped farmland in Jilin Province. The total soil erosion in Jilin Province was 402.14×106 t in 2019, the average soil erosion rate was 21.6 t·ha-1·a-1, and the average soil loss thickness was 1.6 mm·a-1; these values were far greater than the soil erosion rate risk threshold of 10 t ·Ha-1·a-1. Thus, the province has a strong level of soil erosion. We conclude that soil degradation is accelerating, and food production and the ecological environment will face severe challenges. It is suggested that soil erosion control should be carried out according to different types and slopes of land, with an emphasis on the management of forestland and farmland because forestland and farmland are currently the first types of land to be managed in Jilin Province. This paper aims to explore a timely, fast, efficient and convenient soil erosion monitoring and evaluation method and provide effective monitoring tools for agricultural water and soil conservation, ecological safety management and stable food production in Jilin Province and similar black soil areas.
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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