基于RS和GIS的土壤侵蚀量预测应用研究  

Study on Predicting Soil Erosion Based on GIS and RS

作　　者：田静毅[1] 李月芬[2] 王立新[3] 王继斌[3] 

机构地区：[1]吉林大学环境资源学院,长春130026 [2]吉林大学地球科学学院,长春130026 [3]中国环境管理干部学院,秦皇岛066004

出　　处：《吉林农业大学学报》2007年第1期78-82,共5页Journal of Jilin Agricultural University

基　　金：河北省技术研究与发展项目(04276905;05276910)

摘　　要：运用RS、GIS和USLE集成技术,对秦皇岛市土壤侵蚀量进行了定量试验研究。对各相关因子值进行科学的确定,利用ARC/INFO的栅格数据空间分析功能,提取了各因子图,预测了秦皇岛市的土壤侵蚀量。结果表明:秦皇岛市侵蚀总量为每年1 162.139 0万t,平均侵蚀模数为每年1 494.07 t/km2。占区域面积21.19%的土壤侵蚀强度在中度或中度以上,该区域对土壤侵蚀量的贡献率为71.26%。林地和草地的侵蚀量占侵蚀总量的82.37%和9.29%,土壤侵蚀主要发生在北部山区的林地。实践证明,利用RS、GIS和USLE技术进行土壤侵蚀监测与预测是可行的和高效的。An experiment was made to study soil erosion estimation method in Qinhuangdao city in Hebei province based on integration of RS （ Remote Sensing System）, GIS （Geographic Information System） and USLE （Universal Soil Loss Equation）. Reasonable methods were adopted to obtain R, LS, K, C and P factors value. The graphic factors were extracted by the spatial analysis function of the grid data in ARC/ TNFO. Finally, the soil erosion amount of Qinhuangdao city was predicted. Result showed： the soil erosion anaount was 1 162. 1390 t, annual average soil erosion modulus was 1 494.07 t/km^2. The moderate and moderate above eroded area was 21.19% of the studied area,but contributed to 71.26% of soil erosion amount. Soil erosion of wood land and grassland occupied 82.37% and 9.29% of soil erosion amount respectively, so soil erosion mainly occurs in wood land of north mountainous area. The results showed that the application of GIS, RS and USLE in inspecting and predicating soil erosion is feasible and efficient.

关 键 词：RS GIS USLE 土壤侵蚀量 秦皇岛市 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]