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Remote Sensing for Land & Resources    2019, Vol. 31 Issue (4) : 243-249     DOI: 10.6046/gtzyyg.2019.04.31
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Soil erosion in Huaihe River Basin based on GIS and RUSLE:Exemplified by Shangcheng County, Xinyang City
Yaping LI, Xiaoping LU(), Hang ZHANG, Zezhong LU, Shunyao WANG
School of Surveying and Land Informatics, Henan Polytechnic University, Jiaozuo 454003, China
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Abstract  

In this paper, a topographic factor extraction algorithm based on the accumulation of the multiple flow direction up-slope considering the effect of land use/vegetation on the confluence is proposed, which improves the topographic factor extraction algorithm in revised university soil loss equation (RUSLE) and improves the accuracy of soil erosion extraction. The spatial distribution of soil erosion intensity and its relationship with environmental factors in Shangcheng County of Huaihe River basin were studied by using geographic information system (GIS) and remote sensing (RS) techniques. The results show that the average annual soil erosion modulus is 28.16 t·hm -2·a -1, suggesting moderate erosion. The total erosion area reaches 905.95 km 2, soil erosion intensity and erosion modulus also increase significantly with the increase of slope. The study provides a technical example for the application of the RUSLE model to soil erosion assessment in the ecological functional region and provides an effective basis for soil erosion control and environmental sustainable development in this region.

Keywords soil erosion      topography factor      remote sensing      geographic information system      revised universal soil loss equation     
:  TP79  
Corresponding Authors: Xiaoping LU     E-mail: lxp@huyp.edu.cn
Issue Date: 03 December 2019
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Yaping LI
Xiaoping LU
Hang ZHANG
Zezhong LU
Shunyao WANG
Cite this article:   
Yaping LI,Xiaoping LU,Hang ZHANG, et al. Soil erosion in Huaihe River Basin based on GIS and RUSLE:Exemplified by Shangcheng County, Xinyang City[J]. Remote Sensing for Land & Resources, 2019, 31(4): 243-249.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.04.31     OR     https://www.gtzyyg.com/EN/Y2019/V31/I4/243
Fig.1  Flow partition using the multiple flow direction algorithm
土地利
用类型		 产流
系数		 汇流面积
贡献率		 备注
耕地 0.08 0.17 水田、水浇地、旱地
林地 0.15 0.31 有林地、灌木林地及其他林地、园地
草地 0.2 0.42 天然牧草地、人工牧草地及其他草地
裸地和建设用地 0.48 1 裸地、商服用地、工矿仓储用地、交通运输用地、住宅用地等
水体 0 0 河流水面、水库、沟渠、坑塘
湿地 0.22 0.46 沿海滩涂、内陆滩涂
Tab.1  Contribution rate of confluence area for different land uses
Fig.2  Flow chart for extraction of L factor
土地利用类型 水土保持
措施因子		 土地利用类型 水土保持
措施因子
耕地坡度/(°) <5 0.100 林地 0.7
[5,10) 0.221 草地 0.9
[10,15) 0.305 裸地和建设用地 0
[15,20) 0.575 水体 0
[20,25) 0.705 湿地 1
≥25 0.800
Tab.2  P values of different land uses
Fig.3  Soil erosion distribution map
侵蚀等级 微度 轻度 中度 强烈 极强烈 剧烈
微度 9 0 0 0 0 0
轻度 0 15 2 0 0 0
中度 0 0 23 1 0 0
强烈 0 0 0 41 0 0
极强烈 0 0 0 0 19 1
剧烈 0 0 0 0 0 11
Tab.3  Confusion matrix of the method test in this paper
Fig.4  Comparison and verification of two results
坡度/(°) 平均侵蚀模数/
(t·hm-2·a-1)		 面积比例/%
微度 轻度 中度 强烈 极强烈 剧烈
[0,5) 4.90 62.71 62.56 14.67 2.91 0.52 0.04
[5,8) 19.49 6.88 28.47 35.33 10.29 3.61 0.95
[8,15) 40.75 12.41 8.94 48.96 66.16 31.84 14.47
[15,25) 66.13 13.64 0.03 1.04 20.55 55.64 35.22
[25,35) 109.00 4.36 0 0 0.09 8.23 41.70
[35,60.19] 202.43 0 0 0 0 0.16 7.62
Tab.4  Soil erosion distribution of different slope degrees
地类 平均侵蚀模数/
(t·hm-2·a-1)		 面积比例/%
微度 轻度 中度 强烈 极强烈 剧烈
耕地 4.75 40.52 19.06 7.20 3.89 2.42 1.28
林地 48.69 32.13 56.97 75.38 86.18 89.91 92.62
草地 33.07 2.06 21.20 16.31 9.36 7.36 5.83
裸地与建设用地 0 13.51 0 0 0 0 0
水体 0 11.19 0 0 0 0 0
湿地 17.15 0.59 2.77 1.11 0.57 0.31 0.27
Tab.5  Soil erosion distribution of different land uses
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