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

• Main Authors: Wenjie Chen, Chenghao Chen, Longbing Li, Litao Xing, Guoru Huang, Chuanhao Wu
• Format: Article
• Language: English
• Published: MDPI AG 2015-05-01
• Series: Water
• Subjects: extreme precipitation pattern; hourly datasets; extreme precipitation indices (EPI); principal component analysis (PCA); trend; stability
• Online Access: http://www.mdpi.com/2073-4441/7/5/2239

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.