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金属矿山 ›› 2012, Vol. 41 ›› Issue (09): 111-113+116.

• 机电与自动化 • 上一篇    下一篇

遥感与GIS技术在大型排土场选址中的应用

张家铭1,任永强1,付克俭2,刘江2   

  1. 1.中国地质大学工程学院;2.湖北宜巴高速公路建设指挥部
  • 出版日期:2012-09-15 发布日期:2012-10-09
  • 基金资助:

    * 国家自然科学基金项目(编号:2011053034), 湖北省交通厅科技项目(编号:2011056041)。

Application of Remote Sense and GIS to Site Selection of Large Scale Abandoned Dreg Field

Zhang Jiaming1,Ren Yongqiang1,Fu Kejian2,Liu Jiang2   

  1. 1.Faculty of Engineering, China University of Geosciences;2.Hubei Yichang-Badong Expressway Construction Headquarters
  • Online:2012-09-15 Published:2012-10-09

摘要: 高速公路建设排土场的选址规划涉及到高速公路的经济效益与环境污染等问题。GIS的空间叠加、缓冲区分析等强大空间分析功能可为排土场的选址规划提供帮助。应用遥感图像处理和GIS等技术,以宜巴高速郑家垭隧道排土场为实例,对选址地区的地形图进行了矢量化处理,建立了选址区域的数字高程模型(DEM)。通过对选址区域的遥感图像和DEM进行叠置分析、缓冲区分析等相关的GIS空间分析,计算出排土场的最优选址规划位置,之后对选定区域进行了弃方容积计算,计算结果满足预计弃方量。这种将遥感图像处理与GIS技术相结合的研究方法为排土场选址规划提供了新思路,其研究成果对于完善公路排土场的设计施工具有重要的实用价值。

关键词: 排土场, 选址规划, 遥感图像, GIS

Abstract: Site selection planning of abandoned dreg field during expressway construction concerns the economic benefits and the environment contamination et al..GIS has powerful space analysis function, such as space superposition and buffer analysis et al., which is helpful for site selection of abandoned dreg field.With Zhengjiaya tunnel abandoned dreg field of Yichang-Badong expressway as a case, remote sensing image processing and GIS were utilized to process relief map vectorially in site selection area to build Digital Elevation Model (DEM) of the selected area.Based on relative GIS spatial analysis including overlay analysis of remote sense image and DEM, and buffer analysis, the optimum site for site selection planning was selected, and the volume at the chosen site was calculated, which can hold the expected volume of abandoned dreg.This method with combination of remote sensing image processing and GIS provides new ways for site selection planning, and the research results have a practical value for improving the design and construction of expressway abandoned dreg field.

Key words: Abandoned dreg field, Site selection planning, Remote sense image, GIS