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基于粗糙集和GeoMo3D的城市岩土参数重要性评估与可视化

Significance Evaluation and Visualization for Urban Geotechnical Parameters Based on Rough Sets and GeoMo3D

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【作者】 姜云吴立新车德福徐磊祝文君石晓冬

【Author】 JIANG Yun,WU Li-xin,CHE De-fu,XU Lei,ZHU Wen-jun,SHI Xiao-dong Institute of RS/GPS/GIS & Subsidence Engineering, China University of Mining and Technology ,Beijing 100083; School of Architectural Engineering,Heilongjiang Institute of Science & Technology , Harbin 150027; Center for RS/ GPS /GIS & Digital Mine Research, Northeast University, Shenyang 110004; Department of Civil Engineering, Tsinghua University, Beijing 100084; Beijing Urban Planning Designing Institute, Beijing 100022, China

【机构】 中国矿业大学(北京校区)3S与沉陷工程研究所黑龙江科技学院建筑工程学院 黑龙江 哈尔滨 150027东北大学3S与数字矿山研究中心清华大学土木工程系北京市城市规划设计研究院北京 100083辽宁 沈阳 110004 中国矿业大学(北京校区)3S与沉陷工程研究所北京 100083北京 100084北京 100022

【摘要】 岩土参数是影响地下空间开发利用的重要因素,岩土参数不同,其重要性也不同,并影响城市地下空间开发 利用。依据粗糙集理论,提出利用不可分辨关系、属性集正域及知识依赖度判断岩土参数重要性的评估模型。结 合北京市CBD实例,研究基于粗糙集方法的城市地下空间开发利用岩土参数重要性及其权重,得到与传统层次分 析法(AHP)相一致但更精细的重要性评估结果,并在GeoMo3D系统中进行建模、评估及可视化比较,验证粗糙集方 法的合理性和优越性。

【Abstract】 The underground space is a kind of important natural resource for urban development,and the geotechnical parameters are important index for underground space development - utilization. The significance of each geotechnical parameter is different,and the feasibility of underground space development - utilization is thus affected. Based on rough sets theory, an evaluation model, in which the parameter’s significance is considered,is put forward by using of indiscernibility relation,attribute sets positive domain and dependence degree. Taking the central business district(CBD)of Beijing as an application case, the significance and weight of geotechnical parameter for underground space development - utilization are studied as compared to traditional method, analytic hierarchy process (AHP). It shows that the results from rough sets is in accordance with but more precise than that from AHP. Not only more attribute information could be mined out,but also the subjectivity problem on parameter significance evaluation can be solved by means of rough set method rather than AHP. The reasonability and advantages of rough sets method are proved through the 3D spatial modeling,data treatment,parameter evaluation and visualization comparison on CBD Beijing.

【基金】 北京市自然科学基金重点项目(4041005)教育部“高校青年教师奖”专项基金东北大学长江学者科研基金
  • 【文献出处】 地理与地理信息科学 ,Geography and Geo-Information Science , 编辑部邮箱 ,2005年06期
  • 【分类号】TU452
  • 【被引频次】10
  • 【下载频次】304
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