SONG Wen- long1 , ZH ANG Rong-hua2 , GAO Yun-fei3 , LU Jing-x uan1 , YANG Sheng-tian4 , QU Wei1 , ZH AO Dong-jie5
( 1. China I nstitute of Water Resour ces and H y dr op ower Resear ch, Beij ing 100038, China; 2. For es try Col lege of Shandong A gr icultural Univ er sity , K ey Labor ator y of A gr icultur al Ecology and Env ir onment of S handong , Tai. an 271018, China; 3. Yellow Riv er So il and Water Cons er v ation Eco2E nv ironment Monitor ing Center , X i`an 710021, China; 4. Schoo l of Geogr ap hy , Beij ing N ormal Univ er si ty , Beij ing 100875, China; 5. L ingx ian County L and Reso ur ces B ur eau , Dez ho u City , S hand ong Pr ovince , L ingx ian 253500, China) Find this author on AllJournals Find this author on Google Scholar Find this author on BaiDu Find this author on PubMed Search for this author on this site
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Abstract:
Calculatio n of soil ero sion intensity classification based o n field survey , remo te sensing informat ion, and soil erosio n model is an impor tant method to mo nitor and analy ze the long2term reg ional so il erosio n. In this paper , Jingbian Count y of Shaanx i Pr ov ince located in the hilly and g ully reg io n of no rthwest loess plat eau and H eng x ian County o f Guang x i Pr ovince lo2 cated in the so uthw est mo untainous reg ion o f China wer e selected as the study area. Based on f ield inv estig ation and remot e sensing data, r eg io nal so il ero sion quantit y in a 30 m pixel scale was calculated using the CSLE mo del. Soil erosio n intensity clas2 sificat ion index es ( thr ee facto rs method) of the Minist ry o f Water Resources w ere used to classify the so il ero sion intensity in the study area. The results showed that the results obtained fr om the CSLE model ar e better than tho se fr om the three factor s met ho d; compa red w ith r esults f rom t he three factor s method and the seco nd natio nal so il erosion remo te sensing survey pro2 g ram, areas of ex tremely intense so il er osio n and sev ere soil ero sion from the CSLE mo del method account for a lar ger propor2 tion Applicat ion soil ero sion model to monito r and analyze the var iatio n of each index can benefit the lo ng2term monito ring of so il erosio n and pr ov ide r easo nable ex planatio n; how ev er, facto r v alue assig nment can have a gr eat impact o n the model results