| contributor author | Huei-Tau Ouyang | |
| contributor author | Hsin Yu | |
| contributor author | Chin-Huang Lu | |
| contributor author | Yuan-Hong Luo | |
| date accessioned | 2017-05-08T21:08:20Z | |
| date available | 2017-05-08T21:08:20Z | |
| date copyright | January 2008 | |
| date issued | 2008 | |
| identifier other | %28asce%290733-9496%282008%29134%3A1%2883%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/40131 | |
| description abstract | 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. | |
| publisher | American Society of Civil Engineers | |
| title | Design Optimization of River Sampling Network Using Genetic Algorithms | |
| type | Journal Paper | |
| journal volume | 134 | |
| journal issue | 1 | |
| journal title | Journal of Water Resources Planning and Management | |
| identifier doi | 10.1061/(ASCE)0733-9496(2008)134:1(83) | |
| tree | Journal of Water Resources Planning and Management:;2008:;Volume ( 134 ):;issue: 001 | |
| contenttype | Fulltext | |