PM_(2.5)土地利用回归模型地理要素的选取  

The Selection of PM_(2.5) LUR Geographical Factors

作　　者：刘凡[1,2] 翟亮 桑会勇[3] LIU Fan ZHAI Liang SANG Hui - yong(Lanzhou Jiaotong University, Lanzhou 730000, China Chinese Academy of Surveying and Mapping, Beijing 100830, China Gansu Provincial Engineering Laboratory for National Geographical State Monitoring, Lanzhou 730000, China)

机构地区：[1]兰州交通大学,甘肃兰州730000 [2]甘肃省地理国情监测工程实验室,甘肃兰州730000 [3]中国测绘科学研究院,北京100830

出　　处：《测绘与空间地理信息》2017年第9期84-87,共4页Geomatics & Spatial Information Technology

基　　金：专题性地理国情监测项目(B1605);国家测绘地理信息局青年学术和技术带头人科研计划资助课题(E1604);中国测绘科学研究院基本科研业务费项目(7771622)资助

摘　　要：针对PM_(2.5)土地利用回归(Land Use Regression,简称LUR)模型地理要素选取不规范、代表性不明确的问题,本文从地理要素的精度、易获取程度、广泛应用程度及地理要素与PM_(2.5)的经验相关性4个评价指标出发,结合层次分析法(Analytic Hierarchy Process简称AHP)和熵值法,对京津冀地区PM_(2.5)LUR模型构建时各备选地理要素的权重进行综合度量。结果显示,京津冀地区污染企业、交通网络、地表覆盖等优选地理要素的综合权重分别为20%、19%、18%,地理要素与PM_(2.5)的经验相关性和数据精度等优先评价指标的综合权重占××的比例分别次为49%、26%。该方法得出的评价结果符合客观实际,能达到科学选取地理要素的目的,对评估地理要素的代表性和分析LUR的异同性及地方主要污染要素具有重要的参考价值。Due to the selection of PM2.s LUR （land use regression） geographical factors is not clearand the representative is not accu- racy, combined with analytic hierarchy process （AHP） and entropy evaluation method, this paper proceeds from four aspects which separately are the accuracy, the complexity degree of acquisition and the wide usage degree of geographical factors, and the experien- tial correlation between geographical factors and PM2.5, then quantitatively calculates the comprehensive weights of alternative geo- graphical factors while constructing model. Taking Beijing - Tianjin - Hebei region for example, the result shows that, the weighted values of the best alternative geographical factors which contain polluting enterprises, transportation network, land cover are 20% , 19%, 18% separately, the weighted values of the experiential correlation between geographical factors and PM~.5 and the data accuracy are 49% and 26% separately. Through this method, the results of assessment in this paper can conform to the objective reality, attain the goal of choosing geographical factors scientifically, and provide important reference value to analyze the similarities and differences on LUR and local main Pollution elements.

关 键 词：地理要素选取 PM2.5LUR模型 层次分析法 熵值法 

分 类 号：P271[天文地球—测绘科学与技术]