摘要
为了研究甘肃省公路三级自然区划,选取了平均海拔、平均坡度、切割密度、切割深度、硬岩覆盖度和植被覆盖度6个因子来量化公路工程困难指数指标。基于数字高程数据、岩土和植被专题图以及SPOT/VEGETATION NDVI遥感数据,调用ArcView软件的三维分析、空间分析、水文分析等功能计算以上各因子的值,并采用专家打分法来确定因子的权重。计算结果表明:甘肃省公路工程困难指数存在明显的空间异质性,困难指数最高的区域主要分布在山区,较高的区域主要分布在重丘区,中等和较小的区域分布在平微区和平原区。
Six factors, such as average elevation, average slope, incision density, incision depth, hard rock cover degree and vegetation cover degree were used to quantify the difficulty index of highway engineering in order to study highway three-tier physico-geographic regionalization of Gansu Province. Using digital elevation data, thematic map of rock, soil and vegetation, remote sensing data of SPOT/VEGETATION NDVI, these factors were calculated based on 3-D analysis, spatial analysis, hydrologic analysis supported by ArcView software. The factor weights were confirmed by applying the method of expert estimation. The calculation results indicate that a highly spatial heterogeneity exists in the difficulty index of highway engineering in Gansu Province. The highest values of the difficulty index mainly distribute in mountainous regions and the higher values mainly distribute in hilly terrain regions, while the middle and low values mainly distribute in rolling terrain and plain terrain regions.
出处
《中国公路学报》
EI
CAS
CSCD
北大核心
2007年第2期45-50,共6页
China Journal of Highway and Transport
基金
国家西部交通建设科技项目(200164800053)
关键词
道路工程
公路三级自然区划
遥感
困难指数
GIS
road engineering
highway three-tier physico-geographic regionalization
remote sensing
difficulty index
GIS
