摘要
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。
Calculation of soil erosion intensity classification based on field survey, remote sensing information, and soil erosion model is an important method to monitor and analyze the long-term regional soil erosion. In this paper, Jingbian County of Shaanxi Province located in the hilly and gully region of northwest loess plateau and Hengxian County of Guangxi Province located in the southwest mountainous region of China were selected as the study area. Based on field investigation and remote sensing data, regional soil erosion quantity in a 30 m pixel scale was calculated using the CSLE model. Soil erosion intensity classification indexes （three factors method） of the Ministry of Water Resources were used to classify the soil erosion intensity in the study area. The results showed that the results obtained from the CSLE model are better than those from the three factors method; compared with results from the three factors method and the second national soil erosion remote sensing survey program, areas of extremely intense soil erosion and severe soil erosion from the CSLE model method account for a larger proportion Application soil erosion model to monitor and analyze the variation of each index can benefit the long-term monitoring of soil erosion and provide reasonable explanation; however, factor value assignment can have a great impact on the model results.
出处
《南水北调与水利科技》
CAS
CSCD
北大核心
2014年第5期170-174,共5页
South-to-North Water Transfers and Water Science & Technology
基金
中国水科院专项(遥集1314
减基本科研1453)
国家"863"项目(2012AA12A309
2013AA12A302)
关键词
土壤侵蚀
野外调查
遥感
CSLE
模型
三因子法
soil erosion
field survey
remote sensing
CSLE model
three factors method
