Spatiotemporal Scaling Effect on Rainfall Network Design Using Entropy

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Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/29166

Title:	Spatiotemporal Scaling Effect on Rainfall Network Design Using Entropy
Authors:	Wei, Chiang Yeh, Hui-Chung Chen, Yen-Chang
Contributors:	土資系
Keywords:	scaling effect rainfall network design entropy
Date:	2014-08
Issue Date:	2015-01-22 09:08:36 (UTC+8)
Abstract:	Because of high variation in mountainous areas, rainfall data at different spatiotemporal scales may yield potential uncertainty for network design. However, few studies focus on the scaling effect on both the spatial and the temporal scale. By calculating the maximum joint entropy of hourly typhoon events, monthly, six dry and wet months and annual rainfall between 1992 and 2012 for 1-, 3-, and 5-km grids, the relocated candidate rain gauges in the National Taiwan University Experimental Forest of Central Taiwan are prioritized. The results show: (1) the network exhibits different locations for first prioritized candidate rain gauges for different spatiotemporal scales; (2) the effect of spatial scales is insignificant compared to temporal scales; and (3) a smaller number and a lower percentage of required stations (PRS) reach stable joint entropy for a long duration at finer spatial scale. Prioritized candidate rain gauges provide key reference points for adjusting the network to capture more accurate information and minimize redundancy.
Relation:	ENTROPY 卷: 16 期: 8 頁碼: 4626-4647
Appears in Collections:	[Department of Natural Resources ] journal articles

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