基于野外调查、遥感信息和CSLE 模型的 土壤侵蚀强度分级

基于野外调查、遥感信息和土壤侵蚀模型等方法的土壤侵蚀强度分级计算,是开展区域土壤侵蚀长期变化监测的重要途径。选取位于西北黄土高原丘陵沟壑区的陕西省靖边县和位于西南土石山区的广西省横县为研究区,基于野外调查数据和遥感信息,应用CSLE土壤侵蚀模型、水利部土壤侵蚀强度面蚀分级指标(三因子法),计算得到30m像元尺度土壤侵蚀模数,据此划分土壤侵蚀强度等级。对比研究结果表明:CSLE土壤侵蚀模型计算结果总体优于三因子法;与三因子法和第二次全国土壤侵蚀遥感调查结果相比,CSLE土壤侵蚀模型计算结果中极强烈侵蚀和剧烈侵蚀所占比例较大;应用土壤侵蚀模型对各因子进行监测和变化分析,有利于对区域土壤侵蚀变化开展长期监测并做出合理解释,但因子赋值对模型模拟结果影响较大。

Study on soil erosion intensity classification based on field survey, remote sensing data and CSLE model

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