Next Article in Journal
Entropy Production in Pipeline Flow of Dispersions of Water in Oil
Next Article in Special Issue
Sensitivity Analysis for Urban Drainage Modeling Using Mutual Information
Previous Article in Journal
Exergetic and Thermoeconomic Analyses of Solar Air Heating Processes Using a Parabolic Trough Collector
Previous Article in Special Issue
The Role of Vegetation on the Ecosystem Radiative Entropy Budget and Trends Along Ecological Succession
Open AccessArticle

Spatiotemporal Scaling Effect on Rainfall Network Design Using Entropy

The Experimental Forest, College of Bio-Resources and Agriculture, National Taiwan University, No.12 Chien-Shan Rd. Sec.1 Jushan Township, Nantou 55750, Taiwan
Department of Natural Resources, Chinese Culture University, Taipei 11114, Taiwan
Department of Civil Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
Author to whom correspondence should be addressed.
Entropy 2014, 16(8), 4626-4647;
Received: 28 January 2014 / Revised: 26 May 2014 / Accepted: 7 August 2014 / Published: 18 August 2014
(This article belongs to the Special Issue Entropy in Hydrology)
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. View Full-Text
Keywords: scaling effect; rainfall network design; entropy scaling effect; rainfall network design; entropy
MDPI and ACS Style

Wei, C.; Yeh, H.-C.; Chen, Y.-C. Spatiotemporal Scaling Effect on Rainfall Network Design Using Entropy. Entropy 2014, 16, 4626-4647.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Back to TopTop