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Optimal design of a rain gauge network models: Review paper

Improved streamflow forecasting is considered an important task for researchers and water resources managers. However, streamflow forecasting is often challenging owing to the complexity of hydrologic systems. The accuracy of streamflow forecasting mainly depends on the input data from rainfall. Hen...

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主要な著者: Nor Sofiza, Abu Salleh, Mohd Khairul Bazli, Mohd Aziz, Noraziah, Adzhar
フォーマット: Conference or Workshop Item
言語:English
出版事項: IOP Publishing 2019
主題:
QD Chemistry
T Technology (General)
オンライン･アクセス:http://umpir.ump.edu.my/id/eprint/25681/13/Optimal%20Design%20of%20a%20Rain%20Gauge%20Network%20Models.pdf
http://umpir.ump.edu.my/id/eprint/25681/
https://iopscience.iop.org/article/10.1088/1742-6596/1366/1/012072
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spelling my.ump.umpir.256812019-12-17T02:09:21Z http://umpir.ump.edu.my/id/eprint/25681/ Optimal design of a rain gauge network models: Review paper Nor Sofiza, Abu Salleh Mohd Khairul Bazli, Mohd Aziz Noraziah, Adzhar QD Chemistry T Technology (General) Improved streamflow forecasting is considered an important task for researchers and water resources managers. However, streamflow forecasting is often challenging owing to the complexity of hydrologic systems. The accuracy of streamflow forecasting mainly depends on the input data from rainfall. Hence, this is important to make the estimation of rainfall as accurate as possible in result to achieve economical design of watershed management, water budget studies, reservoir operation, and flood forecasting and control. Most of the previous research was highlighted, an optimal rain gauge network is necessary to provide high quality rainfall estimates. The goal of this paper is to provide a concise review of recent (1994–present) studies on the optimal design of a rain gauge network models to enhance the accuracy of streamflow forecasting. This study had two components. First, the design of an optimal rain gauge network using the kriging-based geostatistical approach based on the variance reduction framework. Second, the uses of optimization technique for minimizing the kriging variance in order to optimize rain gauge networks. Additionally, a discussion of both techniques to design an optimal rain gauge network is presented. A well designed rain gauge network is capable of providing accurate rainfall estimates with optimal number of rain gauge network density. This paper closes with a set of recommendations for what observations and capabilities are needed in the future to advance our understanding of an optimal rain gauge network design and their location for improving the estimate of aerial rainfall. IOP Publishing 2019 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/25681/13/Optimal%20Design%20of%20a%20Rain%20Gauge%20Network%20Models.pdf Nor Sofiza, Abu Salleh and Mohd Khairul Bazli, Mohd Aziz and Noraziah, Adzhar (2019) Optimal design of a rain gauge network models: Review paper. In: Journal of Physics: Conference Series, 2nd International Conference on Applied & Industrial Mathematics and Statistics (ICoAIMS 2019), 23-25 July 2019 , Kuantan, Pahang, Malaysia. pp. 1-9., 1366 (012072). ISSN 1742-6596 https://iopscience.iop.org/article/10.1088/1742-6596/1366/1/012072
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QD Chemistry
T Technology (General)
spellingShingle QD Chemistry
T Technology (General)
Nor Sofiza, Abu Salleh
Mohd Khairul Bazli, Mohd Aziz
Noraziah, Adzhar
Optimal design of a rain gauge network models: Review paper
description Improved streamflow forecasting is considered an important task for researchers and water resources managers. However, streamflow forecasting is often challenging owing to the complexity of hydrologic systems. The accuracy of streamflow forecasting mainly depends on the input data from rainfall. Hence, this is important to make the estimation of rainfall as accurate as possible in result to achieve economical design of watershed management, water budget studies, reservoir operation, and flood forecasting and control. Most of the previous research was highlighted, an optimal rain gauge network is necessary to provide high quality rainfall estimates. The goal of this paper is to provide a concise review of recent (1994–present) studies on the optimal design of a rain gauge network models to enhance the accuracy of streamflow forecasting. This study had two components. First, the design of an optimal rain gauge network using the kriging-based geostatistical approach based on the variance reduction framework. Second, the uses of optimization technique for minimizing the kriging variance in order to optimize rain gauge networks. Additionally, a discussion of both techniques to design an optimal rain gauge network is presented. A well designed rain gauge network is capable of providing accurate rainfall estimates with optimal number of rain gauge network density. This paper closes with a set of recommendations for what observations and capabilities are needed in the future to advance our understanding of an optimal rain gauge network design and their location for improving the estimate of aerial rainfall.
format Conference or Workshop Item
author Nor Sofiza, Abu Salleh
Mohd Khairul Bazli, Mohd Aziz
Noraziah, Adzhar
author_facet Nor Sofiza, Abu Salleh
Mohd Khairul Bazli, Mohd Aziz
Noraziah, Adzhar
author_sort Nor Sofiza, Abu Salleh
title Optimal design of a rain gauge network models: Review paper
title_short Optimal design of a rain gauge network models: Review paper
title_full Optimal design of a rain gauge network models: Review paper
title_fullStr Optimal design of a rain gauge network models: Review paper
title_full_unstemmed Optimal design of a rain gauge network models: Review paper
title_sort optimal design of a rain gauge network models: review paper
publisher IOP Publishing
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/25681/13/Optimal%20Design%20of%20a%20Rain%20Gauge%20Network%20Models.pdf
http://umpir.ump.edu.my/id/eprint/25681/
https://iopscience.iop.org/article/10.1088/1742-6596/1366/1/012072
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score 13.251813

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