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

共 7 条

[1] De Jong K. A., 1975, ANAL BEHAV CLASS GEN
[2] Review of aquatic monitoring program design
Dixon, W
Chiswell, B
[J]. WATER RESEARCH, 1996, 30 (09) : 1935 - 1948
[3] Optimized selection of river sampling sites
Dixon, W
Smyth, GK
Chiswell, B
[J]. WATER RESEARCH, 1999, 33 (04) : 971 - 978
[4] GILLIES AM, 1985, THESIS U MICHIGAN
[5] Goldberg D.E, 1989, GENETIC ALGORITHMS S
[6] Sanders T.G., 1983, DESIGN NETWORKS MONI
[7] TOPOLOGICALLY OPTIMUM WATER-SAMPLING PLAN FOR RIVERS AND STREAMS
SHARP, WE
[J]. WATER RESOURCES RESEARCH, 1971, 7 (06) : 1641 - &

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