Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique
Document Type
Article
Publication Date
1-1-2018
Abstract
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.
Keywords
raingauge network, cross-validation, geostatistical analysis, optimization, root mean square error
Divisions
fac_eng
Funders
University of Malaya Research Grant [Grant number FL001-13SUS and RP017C-15SUS]
Publication Title
Hydrological Sciences Journal
Volume
63
Issue
3
Publisher
Taylor & Francis