Trends in seasonal precipitation extremes - An indicator of 'climate change' in Kerala, India

被引:106
|
作者
Pal, Indrani [1 ]
Al-Tabbaa, Abir [1 ]
机构
[1] Univ Cambridge, Dept Engn GRO, Cambridge CB2 1PZ, England
关键词
Climate change; Time series analysis; Rainfall extreme; Seasonal rainfall; Trend; Kerala;
D O I
10.1016/j.jhydrol.2008.12.025
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Recent news on the occurrence of off-seasonal natural disasters, such as pre-monsoon drought and post-monsoon flooding in India and particularly in the peninsular region, highlight the urgent need to look at the patterns of change in seasonal extremes at the local level. Kerala, the south-western state of the Indian peninsula, comprising of a total of six gridded areas, was chosen for this study focusing on the variability and changes in rainfall extremes in the different seasons. Since other studies by the authors have focused on the monsoon season, this paper considers the winter, spring and autumn seasons only. A set of indices derived from the daily rainfall time series is defined and used to examine the changes in extreme rainfall through assessing long-term trends by non-parametric Mann-Kendall technique. The trends are determined over the period of 1954-2003, which are also tested for significance. The results show that there are large intra-regional differences in the trends in different seasons. Local changes were found different from the large spatial scale averages in Kerala. Winter and autumn extreme rainfall were found having an increasing tendency with statistically significant changes in some regions indicating more occurrences of winter and autumn floods. On the other hand the spring seasonal extreme rainfall showed decreasing trends, which together with increasing frequency of the dry days is mainly affecting the total seasonal precipitation, which mainly point towards the vulnerability of Kerala to increasing probability of water scarcity in the pre-monsoon time and a delaying monsoon onset. Overall, the results of this study are good indicators of local climate changes over the five decades that will assist in seasonal forecasting and risk management. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:62 / 69
页数:8
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