Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique
| Autor: | Mohd Zaharifudin Muhamad Ali, Faridah Othman |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
geography
geography.geographical_feature_category 010504 meteorology & atmospheric sciences Rain gauge Mean squared error 0208 environmental biotechnology 02 engineering and technology Urban area 01 natural sciences Cross-validation 020801 environmental engineering Multivariate interpolation Hydrology (agriculture) Coupling (computer programming) Environmental science Catchment area 0105 earth and related environmental sciences Water Science and Technology Remote sensing |
| Zdroj: | Hydrological Sciences Journal. 63:474-491 |
| ISSN: | 2150-3435 0262-6667 |
| DOI: | 10.1080/02626667.2018.1437271 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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