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...

Full description

Bibliographic Details
Main Authors:	Mohd Khairul Bazli, Mohd Aziz, Fadhilah, Yusof, Zulkifli, Yusop, Mohammad Afif, Kasno
Format:	Conference or Workshop Item
Language:	English English
Published:	Universiti Malaysia Pahang 2019
Subjects:	T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/26074/ 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

id	ump-26074
recordtype	eprints
spelling	ump-260742019-12-20T07:34:36Z 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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	T Technology (General)
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
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.
format	Conference or Workshop Item
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
title	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_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_sort	geostatistics and hybrid particle swarm-simulated annealing optimization in rain gauges network simulation
publisher	Universiti Malaysia Pahang
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26074/ 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
first_indexed	2023-09-18T22:40:23Z
last_indexed	2023-09-18T22:40:23Z
_version_	1777416874844225536

Geostatistics and hybrid particle swarm-simulated annealing optimization in rain gauges network simulation

Similar Items