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[1]XU Qing-yan,ZHOU Yue.Study on Prediction of Soil Erosion Based on GIS and USLE—Taking Dahongshan Iron Mine at Xinping of Yunnan Province as A Case Study[J].Research of Soil and Water Conservation,2009,16(04):72-75.

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Study on Prediction of Soil Erosion Based on GIS and USLE—Taking Dahongshan Iron Mine at Xinping of Yunnan Province as A Case Study

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 16 Number of periods: 2009 04 Page number: 72-75 Column: Public date: 2009-08-20

Title:: Study on Prediction of Soil Erosion Based on GIS and USLE—Taking Dahongshan Iron Mine at Xinping of Yunnan Province as A Case Study

Author(s):: XU Qing-yan¹, ZHOU Yue²; 1. Department of Chemistry and Chemical Engineering, Minjiang University, Fuzhou 350108, China;
2. Faculty of Enivonmental Science and Engineering, Kunming University of Science and Technology, Kunming 650093, China

Keywords:: geographical information system; universal soil loss equation; soil erosion; Dahongshan Iron Mine

CLC:: S157.1;TP79

DOI:: -

Abstract:: Soil loss was predicted and risk areas of soil erosion were identified in Dahongshan Iron Mine at Xinping of Yunnan province by means of combinin geographical information system (GIS) and universal soil loss equation (USLE). The results showed that the area of regional soil erosion was predicted to be 5.54 km², which was 65.17% of the studied area. The annual soil loss is 4.855×10⁴ t. And the erosion area will not change too much in 50 years, but annual soil loss amount will decline to 2.736×10⁴ t, at a reducing rate of 43.65%. The change trend of accomplished vegetation rehabilitation is that the erosion loss amount of highly eroded area will reduce. And the erosion loss amount of low-grade erosion area will increase.

References:: [1] Walsh S J.Geographic information system for natural resource management[J].Soil and water conservation,1985,40:202-205.
[2] Christopher Cox,Chandra M.Application of geographic information systems in watershed management planning in St.Lucia[J].Computer and Electronics in Agricuture,1999,20:229-250.
[3] Wischmeier W H,Smith D D.Predicting rainfall erosion losses[R].USDA Agriculture Handbook:US Department of Agriculture,1978:537.
[4] Renard K G,Foster G R,Yoder D C,et al.RUSLE Revisited:status,questions,answers and the future[J].Soil and Water Conservation,1994,49(3):213-220.
[5] 谢应齐,杨子生.云南省农业自然灾害区划[M].北京:中国农业出版社,1995:170-205.
[6] 符素华,张卫国,刘宝元,等.北京山区小流域土壤侵蚀模型[J].水土保持研究,2002,21(4):114-120.
[7] 马超飞,马建文,布和敖斯尔.USLE模型中植被覆盖因子的遥感数据定量估算[J].水土保持通报,2001,21(4):6-9.
[8] 王万忠,焦菊英.中国的土壤侵蚀因子定量评价研究[J].水土保持通报,1996,16(5):119-123.
[9] 中华人民共和国水利部标准.水土保持实验规范SD239-97[S].北京:水利电力出版社,1986.
[10] 游松财,李文卿.GIS支持下的土壤侵蚀量估算[J].自然资源学报,1999,14(1):62-68.
[11] 卜兆宏,孙金庄,唐永红.水土流失定量遥感方法及其应用的研究[J].土壤学报,1997,34(3):235-244.
[12] 周跃,万晔,汪竹清,等.对研制云南山地水土流失动态监测系统的初步尝试[J].山地学报,2003,20(4):480-484.
[13] 周跃,杨永红,汪竹清.云南滇中丘陵区水土流失动态监测和防治决策系统研究[J].昆明理工大学学报,2002,27(2):111-114.
[14] 蔡崇法,丁树文,史志华,等.应用USLE和地理信息系统IDRISI预测小流域土壤侵蚀量的研究[J].水土保持学报,2000,14(2):19-24.

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