Design optimization of river sampling network using genetic algorithms

被引：13
|
作者：
Ouyang, Huei-Tau [1 ]
Yu, Hsin [1 ]
Lu, Chin-Huang [1 ]
Luo, Yuan-Hong [1 ]
机构：
[1] Natl Ilan Univ, Dept Civil Engn, Yilan City 26047, Taiwan
来源：
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT | 2008年 / 134卷 / 01期
关键词：
Algorithms; Computation; Monitoring; Optimization; River systems; Sampling; Water Pollution;
D O I：
10.1061/(ASCE)0733-9496(2008)134:1(83)
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
A methodology for determining the optimal spatial distribution of a river pollutant detection network using a geographic information system and genetic algorithms (GAs) is developed. Two case studies are investigated to evaluate the performance of the developed methodology: (1) a hypothesized river system consisting of only 11 reaches; (2) the Logan and Albert Rivers in Southeast Queensland. Plausible results are obtained, encouraging the possibility of applying GAs in designing a river monitoring network.
引用
收藏
页码：83 / 87
页数：5
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