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Water 2015, 7(5), 2239-2253; doi:10.3390/w7052239

Spatiotemporal Analysis of Extreme Hourly Precipitation Patterns in Hainan Island, South China

1
School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
2
Hydrology and Water Resources Survey Bureau of Hainan, Hainan 571126, China
3
State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510640, China
*
Author to whom correspondence should be addressed.
Academic Editor: Athanasios Loukas
Received: 9 April 2015 / Revised: 2 May 2015 / Accepted: 8 May 2015 / Published: 13 May 2015
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Abstract

To analyze extreme precipitation patterns in Hainan Island, hourly precipitation datasets from 18 stations, for the period from 1967 to 2012, were investigated. Two precipitation concentration indices (PCI) and 11 extreme precipitation indices (EPI) were chosen. PCI1 indicated a moderate seasonality in yearly precipitation and PCI2 showed that at least 80% of the total precipitation fell in 20% of the rainiest hours. Furthermore, the spatial variations of PCI1 and PCI2 differed. Linear regression indicated increasing trends in 11 of the calculated EPI. Principal component analysis found that the first recalculated principal component represented the 11 EPI. The recalculated principal component revealed an increasing trend in precipitation extremes for the whole island (except the interior section). Trend stability analysis of several of EPI suggested that the southern parts of Hainan Island, and especially the city of Sanya, should receive more attention to establish the drainage facilities necessary to prevent waterlogging. View Full-Text
Keywords: extreme precipitation pattern; hourly datasets; extreme precipitation indices (EPI); principal component analysis (PCA); trend; stability extreme precipitation pattern; hourly datasets; extreme precipitation indices (EPI); principal component analysis (PCA); trend; stability
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Chen, W.; Chen, C.; Li, L.; Xing, L.; Huang, G.; Wu, C. Spatiotemporal Analysis of Extreme Hourly Precipitation Patterns in Hainan Island, South China. Water 2015, 7, 2239-2253.

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