Comparison of semivariogram models in rain gauge network design
The well-known geostatistics method (variance-reduction method) is com- monly used to determine the optimal rain gauge network. The main problem in geostatis- tics method to determine the best semivariogram model in order to be used in estimating the variance. An optimal choice of the semivariogram...
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Online Access: | http://eprints.utm.my/id/eprint/84881/1/FadhilahYusof2019_ComparisonofSemivariogramModelsinRainGauge.pdf http://eprints.utm.my/id/eprint/84881/ https://dx.doi.org/10.11113/matematika.v35.n2.1155 |
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my.utm.848812020-02-29T12:39:55Z http://eprints.utm.my/id/eprint/84881/ Comparison of semivariogram models in rain gauge network design Mohd. Aziz, Mohd. Khairul Bazli Yusof, Fadhilah Mohd. Daud, Zalina Yusop, Zulkifli Kasno, Mohammad Afif QA Mathematics The well-known geostatistics method (variance-reduction method) is com- monly used to determine the optimal rain gauge network. The main problem in geostatis- tics method to determine the best semivariogram model in order to be used in estimating the variance. An optimal choice of the semivariogram model is an important point for a good data evaluation process. Three different semivariogram models which are Spherical, Gaussian and Exponential are used and their performances are compared in this study. Cross validation technique is applied to compute the errors of the semivariograms. Rain- fall data for the period of 1975 – 2008 from the existing 84 rain gauge stations covering the state of Johor are used in this study. The result shows that the exponential model is the best semivariogram model and chosen to determine the optimal number and location of rain gauge station. Penerbit UTM Press 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/84881/1/FadhilahYusof2019_ComparisonofSemivariogramModelsinRainGauge.pdf Mohd. Aziz, Mohd. Khairul Bazli and Yusof, Fadhilah and Mohd. Daud, Zalina and Yusop, Zulkifli and Kasno, Mohammad Afif (2019) Comparison of semivariogram models in rain gauge network design. MATEMATIK, 35 (Aug). pp. 157-170. ISSN 0127-9602 https://dx.doi.org/10.11113/matematika.v35.n2.1155 DOI:10.11113/matematika.v35.n2.1155 |
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The well-known geostatistics method (variance-reduction method) is com- monly used to determine the optimal rain gauge network. The main problem in geostatis- tics method to determine the best semivariogram model in order to be used in estimating the variance. An optimal choice of the semivariogram model is an important point for a good data evaluation process. Three different semivariogram models which are Spherical, Gaussian and Exponential are used and their performances are compared in this study. Cross validation technique is applied to compute the errors of the semivariograms. Rain- fall data for the period of 1975 – 2008 from the existing 84 rain gauge stations covering the state of Johor are used in this study. The result shows that the exponential model is the best semivariogram model and chosen to determine the optimal number and location of rain gauge station. |
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Article |
author |
Mohd. Aziz, Mohd. Khairul Bazli Yusof, Fadhilah Mohd. Daud, Zalina Yusop, Zulkifli Kasno, Mohammad Afif |
author_facet |
Mohd. Aziz, Mohd. Khairul Bazli Yusof, Fadhilah Mohd. Daud, Zalina Yusop, Zulkifli Kasno, Mohammad Afif |
author_sort |
Mohd. Aziz, Mohd. Khairul Bazli |
title |
Comparison of semivariogram models in rain gauge network design |
title_short |
Comparison of semivariogram models in rain gauge network design |
title_full |
Comparison of semivariogram models in rain gauge network design |
title_fullStr |
Comparison of semivariogram models in rain gauge network design |
title_full_unstemmed |
Comparison of semivariogram models in rain gauge network design |
title_sort |
comparison of semivariogram models in rain gauge network design |
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Penerbit UTM Press |
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2019 |
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http://eprints.utm.my/id/eprint/84881/1/FadhilahYusof2019_ComparisonofSemivariogramModelsinRainGauge.pdf http://eprints.utm.my/id/eprint/84881/ https://dx.doi.org/10.11113/matematika.v35.n2.1155 |
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