OPTIMAL DESIGN OF RAIN GAUGE NETWORK IN JOHOR BY USING GEOSTATISTICS AND PARTICLE SWARM OPTIMIZATION
| Autor: | Mohd. Khairul Bazli Mohd. Aziz, Zalina Mohd. Daud, Fadhilah Yusof, Zulkifli Yusop, Mohammad Afif Kasno |
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| Rok vydání: | 2016 |
| Předmět: |
Optimal design
Environmental Engineering 010504 meteorology & atmospheric sciences Rain gauge Meteorology 0208 environmental biotechnology Soil Science Particle swarm optimization 02 engineering and technology Building and Construction Geostatistics Geotechnical Engineering and Engineering Geology 01 natural sciences Wind speed 020801 environmental engineering Environmental science Selection (genetic algorithm) 0105 earth and related environmental sciences |
| Zdroj: | International Journal of Geomate. |
| ISSN: | 2186-2990 |
| DOI: | 10.21660/2016.25.5137 |
| Popis: | This study proposes particle swarm optimization (PSO) approach to determine the optimal number and locations for the optimal rain gauge network in Johor state. The existing network of 84 rain gauges in Johor is also restructured into new locations by using daily rainfall, humidity, solar radiation, temperature and wind speed data collected during the monsoon season (November - February) of 1975 until 2008. This study used the combination of geostatistics method (variance-reduction method) and particle swarm optimization as the algorithm of optimization during the restructured proses. The numerical result shows that the new rain gauge location provides minimum value of estimated variance. This shows that the proposed method can serve as an analysis tool for a decision making to assist hydrologist in the selection of prime sites for the installation of rain gauge stations. |
| Databáze: | OpenAIRE |
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