Estimation of soil erosion in loess plateau based on geographic information system

Xinghai Dang; Yajie Sun

doi:10.24294/jgc.v5i1.1410

Estimation of soil erosion in loess plateau based on geographic information system

Xinghai Dang, Yajie Sun

Article ID: 1410
Vol 5, Issue 1, 2022

VIEWS - 424 (Abstract) 261 (PDF)

Abstract

One of the core problems in soil erosion research is the estimation of soil erosion. It is a feasible method and technical approach to estimate soil erosion in Loess Plateau region by using USLE model, GIS and RS technology and using DEM data, meteorological data and land-use type data. With the support of GIS and RS technology, the USLE factors and soil erosion in Loess Plateau region were estimated, and the soil erosion intensity was classified according to the Chinese soil erosion intensity classification standard. The results can provide reference for the development of soil erosion control measures in the Loess Plateau.

Keywords

Loess Plateau; Soil Erosion; General Soil Loss Equation; Geographic Information System; Erosion Intensity; Level

Full Text:

PDF

References

1. Chen J, Shao Q, Deng M, et al. High-resolution remote sensing image retrieval via land-feature spatial relation matching. Journal of Remote Sensing 2016; 20(3): 397–408.

2. Chang H, Zhan F, Yang G, et al. Research on objects-oriented information extraction technology for high resolution remote sensing image. Bulletin of Surveying and Mapping 2015; 37(1): 99–101, 130.

3. Li L, Su G, Kang Y, et al. Evaluation of soil erosion in Xiji County of Loess Plateau based on remote sensing and GIS (in Chinese). Technology Innovation and Application 2016; (36): 44–45.

4. Qu Y. Study on dynamic changes of water and soil erosion along highway of the Loess Plateau area based on RS/GIS [Master’s thesis]. Xi’an: Chang’an University; 2015. p. 66.

5. Wang Y. Analysis of soil and water loss in Kangping County based on GIS and fractal theory method. Technical Supervision in Water Resources 2018; (6): 66–68, 162.

6. Ji J, Han F, Zhou L. Application and data mining of dynamic monitoring and announced project results of national soil and water loss based on GIS. Soil and Water Conservation in China 2018; (11): 49–51.

7. Xie G, Xiao J. Analysis of soil erosion characteristics in karst area of Guizhou based on GIS and RS: A case study on the national key development zone in Longli County. Guizhou Science 2018; (4): 56–61.

8. Zhou X. Spatial information extraction of soil and water loss based on remote sensing and GIS—A case study of Tashkurgan County (in Chinese). Gansu Water Resources and Hydropower Technology 2017; (12): 16–19, 49.

9. Zhang H, Shi W. Effects of hilly slope construction based on GIS on soil erosion—A case study of huahongyuan block in xishan district in Kunming city. Journal of Anhui Agricultural Sciences 2016; (16): 78–82.

10. Cheng H, Leng X, Ma Y. Influencing factors of remolded loess intensity and microscopic interpretation based on nuclear magnetic resonance. Science Technology and Engineering 2018; (20): 142–147.

11. Li Z, Gao X. Study on collapsibility of remolded loess by model test and evaluation of loess collapsibility. Science Technology and Engineering 2018; (3): 319–327.

12. Zhao H. Research on risk assessment of soil and water loss in Qingdao based on RS and GIS [Master’s thesis]. Jinan: Shandong Normal University; 2017.

13. Yuan L, Gu T, Hu W, et al. Experimental study on disintegration of loess in different regions. Science Technology and Engineering 2017; (20): 93–100.

DOI: https://doi.org/10.24294/jgc.v5i1.1410