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基于离散粒子群算法的城市生态控制线划定方法研究

发表时间:2012-03-31  浏览量:1323  下载量:355
全部作者: 陈明辉,欧金沛,刘小平
作者单位: 广东省东莞市城乡规划局地理信息与规划编制研究中心;中山大学地理科学与规划学院
摘 要: 提出一种基于离散粒子群算法(discrete particle swarm optimizating, DPSO)的城市生态控制线自动生成模型。DPSO是一种改进的优化算法,既继承了传统粒子群算法的优点,又能有效地解决离散空间优化的问题,非常适用于离散化、海量数据的搜索和处理。先利用遥感和地理信息系统(geographical information systems, GIS)快速获取城市用地情况,提取坡度、高程、归一化植被指数(normalized differential vegetation index, NDVI)等数据;然后,通过多准则方法得到生态保护区适宜性数据,并输入到DPSO,经多次迭代后得到最优的生态控制线格局;最后,对该模型进行模拟测试,并应用于珠江三角洲的东莞市。通过与其他方法对比证明:该模型能够有效地生成一个连续、紧凑、优化的生态控制线划定方案,能为相关部门提供决策支持。
关 键 词: 地理信息系统;生态控制线;离散粒子群算法;空间优化
Title: Research on delimiting urban ecological control-line based on discrete particle swarm optimization
Author: CHEN Minghui, OU Jinpei, LIU Xiaoping
Organization: Dongguan City Planning Bureau, Geographic information & Urban Planning Research Center; Geography and Planning School of Sun Yat-Sen University
Abstract: This paper presented a model of auto generation of ecological control- line based on discrete particle swarm optimization (DPSO). DPSO is a kind of improved optimization algorithm, not only inheriting the advantages of traditional particle swarm algorithm, but also solving the problem of discrete space optimization effectively. And it is very suitable for searching and processing the discrete and mass data. In this study, the status, including urban land-use, the slope, the elevation and normalized differential vegetation index (NDVI) etc was firstly acquired with the advantages in remote sensing and geographical information systems (GIS). And then the suitability data of ecological protection area was obtained by using a multi-criteria method, which was further taken into the model to get an optimized pattern after repeated iteration. Afterward, this proposed model had been applied in Dongguan, a city in the Pearl River delta. Through comparing with the other methods, this proposed model is proved that it can effectively generate a continuous, compact, optimizing ecological control-line designated scheme, which could provide decision support for relevant departments.
Key words: geographical information systems; urban ecological control-line; discrete particle swarm optimization; spatial optimization
发表期数: 2012年3月第6期
引用格式: 陈明辉,欧金沛,刘小平. 基于离散粒子群算法的城市生态控制线划定方法研究[J]. 中国科技论文在线精品论文,2012,5(6):559-570.
 
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