Statistical analysis of sub-daily precipitation extremes in Singapore

被引:43
作者
Beck, Ferdinand [1 ]
Bardossy, Andras [1 ]
Seidel, Jochen [1 ]
Mueller, Thomas [1 ]
Sanchis, Elvira Fernandez [2 ]
Hauser, Andreas [3 ]
机构
[1] Univ Stuttgart, Inst Modelling Hydraul & Environm Syst, Pfaffenwaldring 61, D-70569 Stuttgart, Germany
[2] Siemens AG, Corp Technol, Gunther Scharowsky Str 1, D-91058 Erlangen, Germany
[3] Asia Pacif Pte Ltd, TUV SUD, 04-01 Franklin,3 Sci Pk Dr, Singapore 118223, Singapore
来源
JOURNAL OF HYDROLOGY-REGIONAL STUDIES | 2015年 / 3卷
关键词
Singapore; Precipitation; Trend analysis; Statistical analysis; Monsoon; ENSO;
D O I
10.1016/j.ejrh.2015.02.001
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study region: The study was conducted with data from the city state of Singapore, a densely populated and highly urbanized island state close to the equator. Study focus: The study provides a basic statistical characterization of Singapore's precipitation regime. It quantifies the effects of daily and yearly cycles and the connections to the El Nino Southern Oscillation and Sea Surface Temperature on hourly rainfall amounts. A regional regression analysis was applied to detect trends in hourly and daily precipitation extremes. New hydrological insights for the region: Rainfall events in the early morning and in the afternoon exhibit different spatio-temporal characteristics. Singapore's precipitation activity is influenced by the El Nino Southern Oscillation, but not during the North-East Monsoon season. During the La Nina phase, seasonal precipitation totals are higher and the arrival of the most intense precipitation events is shifted towards morning hours. The rainfall regime has been changing during the investigation period from 1981 to 2010. Rainfall totals as well as hourly and daily extremes increased. The increase in daily extremes was the fastest, changing the temporal scaling of the extremes. The predicted changes in precipitation scaling towards higher daily sums have implications for the management of stormwater run-off. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:337 / 358
页数:22
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