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Regional frequency analysis and spatio-temporal pattern characterization of rainfall extremes
in the Pearl River Basin, China
By: Yang, T (Yang, Tao)[ 1,5 ] ; Shao, QX (Shao, Quanxi) [ 2 ] ; Hao, ZC (Hao, Zhen-Chun) [ 1 ] ; Chen, X (Chen, Xi)[ 1 ] ; Zhang, ZX (Zhang, Zengxin) [ 3 ] ;
78 Times Cited
Xu, CY (Xu, Chong-Yu) [ 4 ] ; Sun, LM (Sun, Limin) [ 1 ]
50 Cited References
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JOURNAL OF HYDROLOGY
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Volume: 380 Issue: 3-4 Pages: 386-405
(data from Web of Science TM Core
Collection)
DOI: 10.1016/j.jhydrol.2009.11.013
Published: JAN 30 2010
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Abstract
83 in All Databases
This paper presents a method for regional frequency analysis and spatio-temporal pattern characterization of rainfall-extreme regimes (i.e. extremes,
78 in Web of Science Core Collection
durations and timings) in the Pearl River Basin (PRB) using the well-known L-moments approach together with advanced statistical tests including
23 in BIOSIS Citation Index
stationarity test and serial correlation check, which are crucial to the valid use of L-moments for frequency analysis. Results indicate that: (1) the entire
Pearl River Basin (40 sites) can be categorized into six regions by cluster analysis together with consideration of the topography and spatial patterns of
6 in Chinese Science Citation
Database
mean precipitation in the basin. The results of goodness-of-fit measures indicate that the GNO, GLO, GEV, and PE3 distributions fit well for most of the
0 in Data Citation Index
basin for different HOM regions, but their performances are slightly different in term of curve fitting; (2) the estimated quantiles and their biases
0 in Russian Science Citation Index
approximated by Monte Carlo simulation demonstrate that the results are reliable enough for the return periods of less than 100 years; (3) excessive
0 in SciELO Citation Index
precipitation magnitude records are observed at Guilin region of Guangxi Province and Fogang region of Guangdong Province, which have sufficient
climate conditions (e.g. precipitation and humidity) responsible for the frequently occurred flood disasters in the regions. In addition, the spatial variations of
precipitation in different return periods (Return period = 1, 10, 50 years to 100 years) increase from the upstream to downstream at the regional scale; (4)
the seasonal patterns of precipitation extremes for different topographical regions are different. The major precipitation events of AM1R, AM3R, AM5R and
AM7R in regions of low-elevation in lower (south-eastern) part of the basin occur mainly in May, June, July and August, while the main precipitation
periods for the mountainous region upstream are June, July and August. Further analysis of the NCAR/NCEP reanalysis data indicates that the eastern
Asian summer monsoon and typhoons (or hurricanes) are major metrological driving forces on the precipitation regimes. Additionally, topographical features
(i.e. elevation, distance to the sea, and mountain's influences) also exert different impacts on the spatial patterns of such regimes. To the best of our
knowledge, this study is the first attempt to conduct a systematic regional frequency analysis on various annual precipitation extremes (based on
consecutive 1-, 3-, 5-, 7-day averages) and to establish the possible links to climate pattern and topographical features in the Pearl River Basin and even
in China. These findings are expected to contribute to exploring the complex spatio-temporal patterns of extreme rainfall in this basin in order to reveal the
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underlying linkages between precipitation and floods from a broad geographical perspective. (C) 2009 Published by Elsevier B.V.
Keywords
Most Recent Citation
Author Keywords: Regional frequency analysis; Rainfall extremes; L-moments; Cluster analysis; Spatial patterns; Large-scale circulation
Wu, Chuanhao. Projection of climate
extremes in the Zhujiang River basin
using a regional climate model .
KeyWords Plus: UNITED-STATES; PRECIPITATION VARIATIONS; WASHINGTON-STATE; CHANGING CLIMATE; YANGTZE-RIVER; L-MOMENTS;
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FLOOD; TRENDS; MAXIMA; LAND
INTERNATIONAL JOURNAL OF
CLIMATOLOGY, MAR 15 2016.
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Reprint Address: Yang, T (reprint author)
Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Peoples R China.
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Addresses:
[ 1 ] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Peoples R China
[ 2 ] CSIRO Math & Informat Sci, Wembley, WA 6913, Australia
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[ 3 ] Nanjing Forestry Univ, Jiangsu Key Lab Forestry Ecol Engn, Nanjing 210037, Peoples R China
[ 4 ] Univ Oslo, Dept Geosci, N-0316 Oslo, Norway
[ 5 ] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
E-mail Addresses: enigama2000@hhu.edu.cn
Funding
Funding Agency
National Natural Science Foundation of China Grant Number
40901016 40830639 National Basic Research Program 2006CB403200 State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering 2009586612 State Key Laboratory of Water Resources and Hydropower Engineering Science 2008B041 Introducing Talents of Discipline to Universities - the 111 Project of Hohai University 1308048 View funding text Publisher
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Categories / Classification
Research Areas: Engineering; Geology; Water Resources
Web of Science Categories: Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
Document Information
Document Type: Article
Language: English
Accession Number: WOS:000274497100014
ISSN: 0022-1694
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Other Information
IDS Number: 555GO
Cited References in Web of Science Core Collection: 50
Times Cited in Web of Science Core Collection: 78
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