摘要
利用空间主成分分析方法，选取降水、坡度、植被、土地利用、土壤类型、人口、高程等作为评价指标，建立空间主成分评价模型Pi=0．78X1＋0．06X2＋0．05X3＋0．04X4，将研究区分为无险型、轻险型、危险型、强险型和极险型五种类型，较为准确地得到了危险度综合评价结果。因此，空间主成分分析模型，在土壤侵蚀危险程度评价方面的应用较为成功，是一种科学有效的研究方法。
In order to analyze evaluationthe soil erosion risk, remote sensing （RS） and geographical information system （GIS） technologies are adopted, and the soil erosion risk model is developed using spatial principle component analysis（SPCA） method. The model contains seven factors including elevation, slope, precipitation, land use, vegetation, soil type, and population density. Using the model （Pi = 0. 78X1 ＋ 0. 06X2 ＋ 0. 05X3 ＋ 0. 04X4 ）, the integrated soil erosion riskindex （Pi） of study area are computed. According to the numerical results, the soil erosion risk is classified into five levels： potential, slight, light, medial, and heavy level, slight. Comparisons with other researches show that the result is in conformity with actual conditions, proving the reasonability and applicability of the SPCA mode 1.
出处
《山地学报》
CSCD
北大核心
2006年第B10期52-56,共5页
Mountain Research
基金
中国科学院西部之光项目和国家自然科学基金课题项目（30470297）
关键词
土壤侵蚀危险度
干热河谷
云南元谋
soil erosion risk assessment, dry-hot valley, Yuanmou County, Yunnan Province
