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    王武魁, 苏贤明, 施海, 张大红, 孙文祥, 赵天忠. 北京林业生物质资源空间密度分布计算及加工点选址优化[J]. 北京林业大学学报, 2010, 32(6): 71-79.
    引用本文: 王武魁, 苏贤明, 施海, 张大红, 孙文祥, 赵天忠. 北京林业生物质资源空间密度分布计算及加工点选址优化[J]. 北京林业大学学报, 2010, 32(6): 71-79.
    WANG Wu-kui, SU Xian-ming, SHI Hai3, ZHANG Da-hong, SUN Wen-xiang, ZHAO Tian-zhong. Spatial density distribution computing of forest biomass and optimizing selection of disposal sites in Beijing[J]. Journal of Beijing Forestry University, 2010, 32(6): 71-79.
    Citation: WANG Wu-kui, SU Xian-ming, SHI Hai3, ZHANG Da-hong, SUN Wen-xiang, ZHAO Tian-zhong. Spatial density distribution computing of forest biomass and optimizing selection of disposal sites in Beijing[J]. Journal of Beijing Forestry University, 2010, 32(6): 71-79.

    北京林业生物质资源空间密度分布计算及加工点选址优化

    Spatial density distribution computing of forest biomass and optimizing selection of disposal sites in Beijing

    • 摘要: 以研究区域遥感影像数据为基础,利用遥感和地理信息系统工具,计算出归一化植被指数(NDVI);以各区县各林地类型林业生物质资源理论资源总量和NDVI地理图层为基础(NDVI为权数),生成林业生物质资源理论量空间密度分布图层;再利用理论量地理图层计算研究区域林业生物质资源的可用量,最后进行林业生物质资源收集地点和加工地点的选址分析和优化。在选址的定性分析过程中,充分考虑经济和操作可行性,以一系列定性因素作为约束条件,利用GIS的空间数据处理功能,确定出候选区域;在定量分析过程中,以定位配给模型和服务区模型为基础,按照给定的选址分析步骤和优化方法,计算出各候选选址位置(候选区域的质心)的评价指标,用于评价各候选点的优先等级。最后给出了研究区域内生物质燃料加工厂和林业生物质资源收集点的理论上的最优位置,以及现有加工地点和候选加工地点的服务区域。

       

      Abstract: Normalized difference vegetation index (NDVI) of vegetation cover in the study area is computed based on TM images using remote sensing (RS) and geographic information system (GIS) software. NDVI is used as a weight number to calculate a weighed average of theoretical forest biomass potential on different forest land uses in each administrative district.Then all weighed average data as raster values in the study area is applied to generate a GIS layer entitled spatial density distribution (SDD) of theoretical biomass. A GIS layer of available forest biomass potential in the study area is derived from the SDD layer of theoretical biomass. Finally,the layer of available forest biomass potential is applied to analyze site-selection for both collection sites and processing sites to make use of forest biomass and optimize them.In the process of qualitative site-selection analysis,on the basis of constrained factors derived from economic and operational feasibility,GIS with its powerful functions of spatial analysis is adopted to determine candidate zones where the sites should be situated.This paper proposes a quantitatively analytical procedure and an optimization method referenced location-allocation modeling and service-area modeling.Assessment scores of the candidate zones (centroids) are computed through the method and they are applied to setting priority.Finally,this paper theoretically gives optimal sites where collection sites and processing sites may be located,including supply areas around both existing and potential processing sites.

       

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