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Evaluation of soil erosion in hilly gully area of the Loess Plateau based on remote sensing survey and RUSLE model

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DOI: 10.23977/geors.2020.030102 | Downloads: 13 | Views: 752

Author(s)

Hui Kong 1,2

Affiliation(s)

1 1 Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an 710075, China; 2 Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an 710021, China
2 3 Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of Land and Resources, Xi'an 710021, China; 4 Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Xi'an 710021, China

Corresponding Author

Hui Kong

ABSTRACT

Based on the model to quantify the small watershed soil erosion condition, for the loess plateau watershed ecosystem management and regulation of service to provide the basis, with the help of ArcGIS and ENVI platform, using the DEM data to extract the sheepfold ditch basin boundary, and quantify the rainfall erosion force respectively R factor, soil resistance to erosion of K factor, terrain, S L factor, vegetation factor, soil and water conservation measures P factor C, etc., based on the revised universal soil loss equation A RUSLE model to calculate the amount of soil erosion, soil erosion of small watershed of the sheepfold quantitative grading and spatial distribution of the statistics, drawing thematic maps.The specific conclusions are as follows: (1) the soil erosion area of the whole study area accounts for 36.33% of the total area; (2) Pattern quantitative classification standard, the size of erosion distribution areas at all levels is mild & GT;Moderate & gt;Very strong & gt;Strong & gt;Severe; (3) According to the status of land use and vegetation cover, the strong erosion is mostly distributed in farmland cultivation areas, while the vegetation is sparse. The weak erosion is distributed in forests, grasslands and other areas with dense vegetation. (4) From the perspective of spatial distribution, the amount of erosion in the southwest of the basin is greater than that in the northeast, and there is still severe erosion in the southwest.

KEYWORDS

Remote sensing, RUSLE, Hilly gully region, Soil erosion

CITE THIS PAPER

Hui Kong, Evaluation of soil erosion in hilly gully area of the Loess Plateau based on remote sensing survey and RUSLE model. Geoscience and Remote Sensing (2020) Vol. 3: 9-16. DOI: http://dx.doi.org/10.23977/geors.2020.030102.

REFERENCES

[1] Gong Shuyu. Scale soil erosion evaluation in the middle Reaches of the Yellow River basin [D]. Chang 'an University, 2016.
[2] Meusburger K, Konz N, Schaub M, et al. Soil erosion modelled with USLE and PESERA using QuickBird derived vegetation parameters in an alpine catchment [J]. International Journal of Applied Earth Observation and Geoinformation, 2010, 12 (3): 208-215.
[3] Qin Zhijia. Comparative Study of Soil erosion in Guizhou Province based on remote sensing Survey and RUSLE Model [D].Guizhou Normal University, 2017.
[4] Liu Zhihong, Mcvicar R, LingTao, et al.Spatial interpolation of meteorological elements in time series based on ANUSPLIN [J]. Journal of Northwest A&F University: Natural Science, 2008, 36 (10): 227-234.
[5] Wang Xiaofeng, Xiao Feiyan, Yin Lising, et al. Evaluation of soil erosion at different watershed scales in the middle Reaches of the Yellow River [J]. Journal of Anhui Agricultural University, 2017, 44 (6): 1070-1077.
[6] Zhang Xiwang, Zhou Yuemin, LI Xiaosong, YUAN Chao, Yan Nana, Wu Bingfang. (In Chinese)Research Progress of remote sensing for soil erosion Assessment [J]. Soil Bulletin, 2010, 04: 1010-1017.
[7] Wang chao.Research on soil erosion Evaluation in Weihe River Basin based on RS/GIS [D]. Northwest University, 2010.
[8] The data is from the International Scientific Data Mirror website (http://www.gscloud.cn) of The Computer Network Information Center of the Chinese Academy of Sciences.
[9] The data are from the Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences (http://www.resdc.cn).
[10] Data from heihe planning data management center (http://westdc.westgis.ac.cn).

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