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| 基于GIS的OWA方法在城市防灾规划中的应用 | |
| 引用本文： | 陈静,代兆立,朱庆杰.基于GIS的OWA方法在城市防灾规划中的应用[J].地理空间信息,2008,6(5):22-24. |
| 作者姓名： | 陈静 代兆立 朱庆杰 |
| 作者单位： | 1. 中国矿业大学资源与安全工程学院,北京,100083;河北理工大学建筑工程学院,河北,唐山,063009 2. 河北理工大学建筑工程学院,河北,唐山,063009;中国石油冀东油田公司,河北,唐山,063200 3. 河北理工大学建筑工程学院,河北,唐山,063009 |
| 摘 要： | 作为一个多准则评价的相对较新概念，基于GIS的OWA方法可以通过权重计算产生多种决策策略。分析了OWA方法与布尔决策和权重线性叠加（WLC）等多准则评价方法在决策策略上的区别，介绍了依据次序重要性来计算次序权重和应用层次分析程序（AHP）构建比较矩阵来计算准则权重的方法，并应用于唐山市防灾规划，计算了唐山市地质灾害影响下的土地利用适宜度。在分析计算结果的基础上，为唐山市土地资源的合理开发提出了建议。 |
| 关 键 词： | GIS 土地利用 适宜度 多准则评价 OWA 唐山 |
Application of GIS-based OWA Method to Land-use Planning for Disaster Prevention |
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| CHEN Jing,DAI Zhaoli,ZHU Qingjie.Application of GIS-based OWA Method to Land-use Planning for Disaster Prevention[J].Geospatial Information,2008,6(5):22-24. | |
| Authors: | CHEN Jing DAI Zhaoli ZHU Qingjie |
| Institution: | CHEN Jing, DAI Zhaoli, ZHU Qingji (1. College of Resources and Safety Engineering, China University of Mining and Technology, Beijing 100083, China; 2. College of Civil Engineering and Architectural, Hebei Polytechnic University, Tangshan 063009, China ; 3. Jidong Oilfield Company, China National Petroleum Corporation, Tangshan 063200, China) |
| Abstract: | As a multi-criteria evaluation procedure,ordered weighted averaging (OWA) is a relatively new concept,which can generate a wide range of decision strategies through weights calculating. The difference in decision strategy between OWA and other GIS-based MCE methods,such as Boolean overlay and weighted linear combination (WLC),is analyzed. The calculation method of order weight based on rank-order approximation,and the construction method of comparison matrix for criterion weight based on analytical hierarchy program (AHP),are introduced. GIS-based OWA method is applied to Tangshan City as an example application,and land-use suitability affected by geological disaster factors in Tangshan City is calculated. Finally,the calculating results are analyzed,and some advice is proposed for rational development of land resource. |
| Keywords: | GIS OWA |
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