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

页码：83 / 87

页数：5

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