Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique
An adequate and reliable raingauge network is essential for observing rainfall data in hydrology and water resource applications. A raingauge network developed for a catchment area is commonly extended periodically to increase data accuracy. Due to financial constraints, the network is reviewed for...
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my.um.eprints.225552019-09-25T07:13:38Z http://eprints.um.edu.my/22555/ Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique Ali, Mohd Zaharifudin Muhamad Othman, Faridah TA Engineering (General). Civil engineering (General) An adequate and reliable raingauge network is essential for observing rainfall data in hydrology and water resource applications. A raingauge network developed for a catchment area is commonly extended periodically to increase data accuracy. Due to financial constraints, the network is reviewed for the optimal number of stations. A new optimization approach is developed in this study by coupling a cross-validation technique with a geostatistical method for raingauge network optimization to prioritize raingauge stations. The spatial interpolation error of the spatial rainfall distribution, measured as the root mean square error (Erms) optimization criterion is applied to a raingauge network in a tropical urban area. The results indicate that this method can successfully optimize the number of rainfall stations in an existing raingauge network, as the stations are prioritized based on their importance in the network. Taylor & Francis 2018 Article PeerReviewed Ali, Mohd Zaharifudin Muhamad and Othman, Faridah (2018) Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique. Hydrological Sciences Journal, 63 (3). pp. 474-491. ISSN 0262-6667 https://doi.org/10.1080/02626667.2018.1437271 doi:10.1080/02626667.2018.1437271 |
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TA Engineering (General). Civil engineering (General) Ali, Mohd Zaharifudin Muhamad Othman, Faridah Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique |
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An adequate and reliable raingauge network is essential for observing rainfall data in hydrology and water resource applications. A raingauge network developed for a catchment area is commonly extended periodically to increase data accuracy. Due to financial constraints, the network is reviewed for the optimal number of stations. A new optimization approach is developed in this study by coupling a cross-validation technique with a geostatistical method for raingauge network optimization to prioritize raingauge stations. The spatial interpolation error of the spatial rainfall distribution, measured as the root mean square error (Erms) optimization criterion is applied to a raingauge network in a tropical urban area. The results indicate that this method can successfully optimize the number of rainfall stations in an existing raingauge network, as the stations are prioritized based on their importance in the network. |
format |
Article |
author |
Ali, Mohd Zaharifudin Muhamad Othman, Faridah |
author_facet |
Ali, Mohd Zaharifudin Muhamad Othman, Faridah |
author_sort |
Ali, Mohd Zaharifudin Muhamad |
title |
Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique |
title_short |
Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique |
title_full |
Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique |
title_fullStr |
Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique |
title_full_unstemmed |
Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique |
title_sort |
raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique |
publisher |
Taylor & Francis |
publishDate |
2018 |
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http://eprints.um.edu.my/22555/ https://doi.org/10.1080/02626667.2018.1437271 |
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1646210274757181440 |
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13.18916 |