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Rainfall network optimization in Johor

This paper presents a method for establishing an optimal network design of rain gauge station for the estimation of areal rainfall in Johor. The main problem in this study is minimizing an objective function to determine the optimal number and location for the rain gauge stations. The well-known geo...

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Main Authors: Mohd. Aziz, Mohd. Khairul Bazli, Kasno, Mohammad Afif, Yusof, Fadhilah, Mohd. Daud, Zalina, Yusop, Zulkifli
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/61561/1/FadhilahYusof2014_RainfallNetworkOptimizationinJohor.pdf
http://eprints.utm.my/id/eprint/61561/
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spelling my.utm.615612017-04-26T03:39:03Z http://eprints.utm.my/id/eprint/61561/ Rainfall network optimization in Johor Mohd. Aziz, Mohd. Khairul Bazli Kasno, Mohammad Afif Yusof, Fadhilah Mohd. Daud, Zalina Yusop, Zulkifli QA Mathematics This paper presents a method for establishing an optimal network design of rain gauge station for the estimation of areal rainfall in Johor. The main problem in this study is minimizing an objective function to determine the optimal number and location for the rain gauge stations. The well-known geostatistics method (variance-reduction method) is used in combination with simulated annealing as an algorithm of optimization. Rainfall data during monsoon season (November – February) for 1975 – 2008 from existing 84 rain gauge stations covering all Johor were used in this study. Result shows that the combination of geostatistics method with simulated annealing successfully managed to determine the optimal number and location of rain gauge station. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/61561/1/FadhilahYusof2014_RainfallNetworkOptimizationinJohor.pdf Mohd. Aziz, Mohd. Khairul Bazli and Kasno, Mohammad Afif and Yusof, Fadhilah and Mohd. Daud, Zalina and Yusop, Zulkifli (2014) Rainfall network optimization in Johor. In: International Science Postgraduate Conference (ISPC) 2014, 10-12 Mac, 2014, Skudai, Johor.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Mohd. Aziz, Mohd. Khairul Bazli
Kasno, Mohammad Afif
Yusof, Fadhilah
Mohd. Daud, Zalina
Yusop, Zulkifli
Rainfall network optimization in Johor
description This paper presents a method for establishing an optimal network design of rain gauge station for the estimation of areal rainfall in Johor. The main problem in this study is minimizing an objective function to determine the optimal number and location for the rain gauge stations. The well-known geostatistics method (variance-reduction method) is used in combination with simulated annealing as an algorithm of optimization. Rainfall data during monsoon season (November – February) for 1975 – 2008 from existing 84 rain gauge stations covering all Johor were used in this study. Result shows that the combination of geostatistics method with simulated annealing successfully managed to determine the optimal number and location of rain gauge station.
format Conference or Workshop Item
author Mohd. Aziz, Mohd. Khairul Bazli
Kasno, Mohammad Afif
Yusof, Fadhilah
Mohd. Daud, Zalina
Yusop, Zulkifli
author_facet Mohd. Aziz, Mohd. Khairul Bazli
Kasno, Mohammad Afif
Yusof, Fadhilah
Mohd. Daud, Zalina
Yusop, Zulkifli
author_sort Mohd. Aziz, Mohd. Khairul Bazli
title Rainfall network optimization in Johor
title_short Rainfall network optimization in Johor
title_full Rainfall network optimization in Johor
title_fullStr Rainfall network optimization in Johor
title_full_unstemmed Rainfall network optimization in Johor
title_sort rainfall network optimization in johor
publishDate 2014
url http://eprints.utm.my/id/eprint/61561/1/FadhilahYusof2014_RainfallNetworkOptimizationinJohor.pdf
http://eprints.utm.my/id/eprint/61561/
_version_ 1643655202800140288
score 13.211869

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