气候变化下SPEI指数在嘉陵江流域的干旱评估应用

doi:10.11870/cjlyzyyhj201506007

长江流域资源与环境 >> 2015, Vol. 24 >> Issue (06): 943-948.doi: 10.11870/cjlyzyyhj201506007

气候变化下SPEI指数在嘉陵江流域的干旱评估应用

叶磊^1,2, 周建中^1,2, 曾小凡^1,2, 张海荣^1,2, 卢鹏^1,2

1. 华中科技大学水电与数字化工程学院, 湖北武汉 430074;
2. 华中科技大学数字流域科学与技术湖北省重点实验室, 湖北武汉 430074

收稿日期:2014-05-12 修回日期:2014-06-30 出版日期:2015-06-20
作者简介:叶磊(1989~ ),男,博士研究生,主要从事水文预报及水文分析计算等研究.E-mail:yelei@hust.edu.cn*
基金资助:
国家自然科学基金重点项目(51239004);国家自然科学基金(51309105)

APPLICATION OF SPEI FOR THE CHANGES OF DROUGHT IN JIALING RIVER BASIN UNDER CLIMATE CHANGE

YE Lei^1,2, ZHOU Jian-zhong^1,2, ZENG Xiao-fan^1,2, ZHANG Hai-rong^1,2, LU Peng^1,2

1. College of Hydropower & Information Engineering, Huazhong University of Science & Technology, Wuhan 430074, China;
2. Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

Received:2014-05-12 Revised:2014-06-30 Online:2015-06-20
Contact: 周建中 E-mail:jz.zhou@hust.edu.cn

摘要/Abstract

摘要： 基于嘉陵江流域1962~2010年实测月降水和月平均气温数据,利用不同时间尺度(3、6、9、12个月)的SPI和SPEI指数分析了近50 a来流域干旱趋势的时空演变规律。对不同时间尺度的SPI及SPEI指数分析表明,1962~2010年嘉陵江流域整体呈干旱增加趋势,特别是流域西部和北部呈现出明显的干旱增加趋势,而流域东部的干旱增加趋势并不明显,个别站点附近还呈现出微弱的干旱减少趋势。SPI及SPEI指数的变化还表明,嘉陵江流域在大时间尺度上的干旱增加趋势更为明显,大时间尺度的干旱事件主要由降雨量决定,而气温变化对干旱趋势的影响则在小时间尺度上更为显著。此外,对于相同的时间尺度,SPEI指数相较于SPI指数检验出更为明显的干旱增加趋势,表明考虑气温影响的SPEI干旱指数更能够检测干旱事件的变化规律,因此SPEI干旱指数更适用于气候变化条件下流域干旱演变特征分析。

关键词: 干旱, SPEI, 时空变化, 嘉陵江流域, 趋势分析

Abstract: In order to scientifically analyze spatial and temporal changes of drought, this paper selects the Jialing river Basin as the research basin and SPI and SPEI indices are used as indices of drought. To analyze the spatial and temporal changes of drought in the Jialing River basin, both SPI and SPEI drought indices for time scales of 3, 6, 9 and 12 months are calculated first, based on observed monthly precipitation data and monthly average temperature data from the basin. The data covers the period from 1962 to 2010. Subsequently, the MK test is used to detect the trend of SPI and SPEI series. The SPI and SPEI indices of most stations are characterized by negative MK values for different time scales. Furthermore most of the stations pass significant test at >95% confidence level, some of them even pass significant test at >99% confidence level. The MK values of SPI and SPEI drought show that drought has an increasing trend in most of the basin. The spatial changes of drought show that significant drought increasing trend is detected by the MK values of both SPI and SPEI in the western and northern basin, while drought doesn't have obvious increasing trend in eastern basin, even several stations in eastern basin show a slight decreasing tendency for drought. Mathematically, the SPEI is very similar to the SPI, but it includes the role of temperature. The SPI and SPEI variations on different time scales also show that the Jialing River Basin has a more obvious increasing trend for drought on the large time scale. The SPI and SPEI indices show obvious differences in detecting spatial changes of drought trend for time scales of 3 and 6 months. The drought trend detected by SPEI is more significant which shows temperature changes has an important influence on drought for small time scales. However, the difference in the SPI and SPEI indices is smaller for time scales of 9 and 12 months which indicates that trend of drought on the large time scale is dominated by the precipitation mainly. In addition, for the same time scale, drought in the Jialing River basin shows a more severe increasing trend by applying SPEI index compared to SPI, which shows SPEI index considering the effects of temperature can test out the increasing trend of drought in a more effective way. Therefore, SPEI index is more suitable for the analysis of drought evolution characteristics of river basin under the condition of climate change.

Key words: drought, SPEI, spatial and temporal changes, Jialing River Basin, trend analysis

中图分类号:

TV122

叶磊, 周建中, 曾小凡, 张海荣, 卢鹏. 气候变化下SPEI指数在嘉陵江流域的干旱评估应用[J]. 长江流域资源与环境, 2015, 24(06): 943-948.

YE Lei, ZHOU Jian-zhong, ZENG Xiao-fan, ZHANG Hai-rong, LU Peng. APPLICATION OF SPEI FOR THE CHANGES OF DROUGHT IN JIALING RIVER BASIN UNDER CLIMATE CHANGE[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2015, 24(06): 943-948.

参考文献

[1] HOUGHTON J T,MEIRA-FILHO L G,CALLANDER B A,et al.Climate change 1995:The science of climate change[M].New York:Cambridge University Press,1996.
[2] STAROSOLSZKY O,MELDER O M.Hydrology of Disasters[M].London:WMO,1989.
[3] RIEBSAME W E,CHANGNON S A J,KARL T R.Drought and natural resources management in the United States,impacts and implications of the 1987-1989 Drought[M].Boulder:Westview Press,1991.
[4] WILHITE D A.Drought as a natural hazard:Concepts and definitions[C]//WILHITE D A,ed.Drought:A Global Assessment.London & New York:Routledge,2000:3-18.
[5] 严登华,袁喆,杨志勇,等.1961年以来海河流域干旱时空变化特征分析[J].水科学进展,2013,24(1):34-41.
[6] 庄少伟,左洪超,任鹏程,等.标准化降水蒸发指数在中国区域的应用[J].气候与环境研究,2013,18(5):617-625.
[7] VICENTE-SERRANO S M,BEGUERÍA S,LÓPEZ-MORENO J I.A multi-scalar drought index sensitive to global warming:The Standardized Precipitation Evapotranspiration Index-SPEI[J].J Climate,2010,23:1696-1718.
[8] 许武成,王文,黎明.嘉陵江流域洪水等级的建议划分标准[J].自然灾害学报,2005,14(3):51-55.
[9] 韩萍,王鹏新,王彦集,等.多尺度标准化降水指数的ARIMA模型干旱预测研究[J].干旱地区农业研究,2008,26(2):212-218.
[10] MCKEE T B,DOESKIN N J,KLEIST J.The relationship of drought frequency and duration to time scales[C]//Proceeding of 8^th Conference on Applied Climatology.Boston:American Meteorological Societ,1993:179-184.
[11] THORNTHWAITE C W.An approach toward a rational classification of climate[J].Geographical Review,1948,38(1):55-94.
[12] KENDALL M G.Rank correlation methods[M].London:Charles Griffin,1975:1-202.

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