Geostatistics and hybrid particle swarm-simulated annealing optimization in rain gauges network simulation
In designing an effective and economic hydraulic structure for flood control, an optimal design of rain gauge network is important as it produces fast, accurate and important rainfall data. In this paper, geostatistical method integrated with hybrid of particle swarm optimization-simulated annealing...
| Үндсэн зохиолчид: | , , , |
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| Формат: | Conference or Workshop Item |
| Хэл сонгох: | English English |
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Universiti Malaysia Pahang
2019
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| Нөхцлүүд: | |
| Онлайн хандалт: | http://umpir.ump.edu.my/id/eprint/26074/1/71.%20Geostatistics%20and%20hybrid%20particle%20swarm-simulated%20annealing.pdf http://umpir.ump.edu.my/id/eprint/26074/2/71.1%20Geostatistics%20and%20hybrid%20particle%20swarm-simulated%20annealing.pdf |
| _version_ | 1825812909625704448 |
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| author | Mohd Khairul Bazli, Mohd Aziz Fadhilah, Yusof Zulkifli, Yusop Mohammad Afif, Kasno |
| author_facet | Mohd Khairul Bazli, Mohd Aziz Fadhilah, Yusof Zulkifli, Yusop Mohammad Afif, Kasno |
| author_sort | Mohd Khairul Bazli, Mohd Aziz |
| collection | UMP |
| description | In designing an effective and economic hydraulic structure for flood control, an optimal design of rain gauge network is important as it produces fast, accurate and important rainfall data. In this paper, geostatistical method integrated with hybrid of particle swarm optimization-simulated annealing is used to simulate the optimal locations and number of raingauges station. The simulation process used different generated rainfall data based on real rainfall data. The rainfall data randomly generated based on the exponential semivariogram model and it showed similar characteristics with the mean and standard deviation that is almost the same with real rainfall data. The proposed method successfully obtained the optimal number of rain gauges despite different sets of generated rainfall data. This situation shows that the proposed method is adequate to be applied in another case study, in other places or different data. |
| first_indexed | 2024-03-06T12:36:08Z |
| format | Conference or Workshop Item |
| id | UMPir26074 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:36:08Z |
| publishDate | 2019 |
| publisher | Universiti Malaysia Pahang |
| record_format | dspace |
| spelling | UMPir260742019-12-20T07:34:36Z http://umpir.ump.edu.my/id/eprint/26074/ Geostatistics and hybrid particle swarm-simulated annealing optimization in rain gauges network simulation Mohd Khairul Bazli, Mohd Aziz Fadhilah, Yusof Zulkifli, Yusop Mohammad Afif, Kasno T Technology (General) In designing an effective and economic hydraulic structure for flood control, an optimal design of rain gauge network is important as it produces fast, accurate and important rainfall data. In this paper, geostatistical method integrated with hybrid of particle swarm optimization-simulated annealing is used to simulate the optimal locations and number of raingauges station. The simulation process used different generated rainfall data based on real rainfall data. The rainfall data randomly generated based on the exponential semivariogram model and it showed similar characteristics with the mean and standard deviation that is almost the same with real rainfall data. The proposed method successfully obtained the optimal number of rain gauges despite different sets of generated rainfall data. This situation shows that the proposed method is adequate to be applied in another case study, in other places or different data. Universiti Malaysia Pahang 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26074/1/71.%20Geostatistics%20and%20hybrid%20particle%20swarm-simulated%20annealing.pdf pdf en http://umpir.ump.edu.my/id/eprint/26074/2/71.1%20Geostatistics%20and%20hybrid%20particle%20swarm-simulated%20annealing.pdf Mohd Khairul Bazli, Mohd Aziz and Fadhilah, Yusof and Zulkifli, Yusop and Mohammad Afif, Kasno (2019) Geostatistics and hybrid particle swarm-simulated annealing optimization in rain gauges network simulation. In: The Ninth International Conference on Geotechnique, Construction Materials and Environment (GEOMATE 2019) , 20-22 November 2019 , Tokyo, Japan. pp. 1-6.. ISBN 978-4-909106025 C3051 (Published) |
| spellingShingle | T Technology (General) Mohd Khairul Bazli, Mohd Aziz Fadhilah, Yusof Zulkifli, Yusop Mohammad Afif, Kasno Geostatistics and hybrid particle swarm-simulated annealing optimization in rain gauges network simulation |
| title | Geostatistics and hybrid particle swarm-simulated annealing optimization in rain gauges network simulation |
| title_full | Geostatistics and hybrid particle swarm-simulated annealing optimization in rain gauges network simulation |
| title_fullStr | Geostatistics and hybrid particle swarm-simulated annealing optimization in rain gauges network simulation |
| title_full_unstemmed | Geostatistics and hybrid particle swarm-simulated annealing optimization in rain gauges network simulation |
| title_short | Geostatistics and hybrid particle swarm-simulated annealing optimization in rain gauges network simulation |
| title_sort | geostatistics and hybrid particle swarm simulated annealing optimization in rain gauges network simulation |
| topic | T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/26074/1/71.%20Geostatistics%20and%20hybrid%20particle%20swarm-simulated%20annealing.pdf http://umpir.ump.edu.my/id/eprint/26074/2/71.1%20Geostatistics%20and%20hybrid%20particle%20swarm-simulated%20annealing.pdf |
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