基于蚁群优化算法的应急避难场所选址模型研究  

Study on emergency shelter location model based on ant colony optimization algorithm

作　　者：杜浩国 林旭川[2] 张方浩[1] 汤筱麒[1] 卢永坤[1] 曹彦波[1] DU Haoguo;LIN Xuchuan;ZHANG Fanghao;TANG Xiaoqi;LU Yongkun;CAO Yanbo(Yunnan Earthquake Agency,Kunming 650224,China;Institute of Engineering Mechanics,CEA,Harbin 150080,China)

机构地区：[1]云南省地震局,云南昆明650224 [2]中国地震局工程力学研究所,黑龙江哈尔滨150080

出　　处：《自然灾害学报》2021年第2期89-101,共13页Journal of Natural Disasters

基　　金：云南省地震局青年基金项目(2021K01);云南省地震局“传帮带”项目(CQ3-2021001)。

摘　　要：为研究应急避难场所快速有效的选址方法,在阅读大量相关文献的基础上,以传统的选址方法为基础,结合无人机遥感数据以及选定的8个选址指标,以ArcGIS地理空间为基础,采用智能蚁群优化算法,建立基于蚁群优化算法的应急避难场所选址模型。以云南红河县城区作为研究区进行模型选址,并采用穷举法与实地调研方式进行验证,结果表明该选址模型具备一定的实用性和科学性。In order to rapidly and effectively choose the sites for emergency shelters,we refer to a number of previous research results and take the traditional site selection methods as the basis.Combined with UAV remote sensing data and 8 selected site selection indicators and geospatial based,an emergency shelter site selection model based on ant colony optimization algorithm was established by using intelligent ant colony optimization algorithm.The Honghe County urban area was taken as the research area for the model site selection,and the exhaustive method and field investigation method were adopted for verification.The results show that the site selection model is practical and scientific.

关 键 词：应急避难场所 选址方法 选址指标 无人机遥感技术 蚁群优化算法 

分 类 号：X913.4[环境科学与工程—安全科学] TP751[自动化与计算机技术—检测技术与自动化装置]