Extreme Precipitation in 1960-2011 over Hedong Area of Gansu, China
Received date: 2012-10-24
Revised date: 2012-11-27
Online published: 2012-11-27
选取甘肃河东地区13个气象站点1960—2011年的日降水资料,运用气候线性趋势、Mann-Kendall检验、Morlet小波分析、反距离加权法和R/S方法,分析了甘肃河东地区极端降水的时空分布,并预测了未来变化趋势。结果表明:（1）河东地区近52年持续干旱日数呈显著增加趋势,而其余极端降水指标呈减少趋势,其中只有中雨日数通过了显著性检验;各极端降水指标在河东季风区和河东高寒区存在明显差异;在河东季风区,中雨日数、R95极端降水量和降水强度显著减少,而持续干旱日数显著增加;在河东高寒区持续降水日数显著减少。（2）空间分布上,除持续干旱日数大多数区域增加外,其余极端降水指标大部分区域减少,减少区域集中在河东中部和河东东南部。（3）极端降水指标主要以20年和5～8年的周期为主,在不同的时间序列信号强弱不同\.（4）中雨日数、持续干旱日数、R95极端降水量、降水强度在20世纪70年代发生趋势性突变,持续降水日数和最大5天降水量在80年代转折性突变。（5）除中雨日数、持续降水日数在河东高寒区未来发展不稳定外,其它各指标在各区域未来表现出持续性,与过去变化趋势一致。
关键词： 极端降水; 持续干旱日数; Morlet小波分析; 河东地区
李小亚 , 张 勃 . 1960—2011年甘肃河东地区极端降水变化[J]. 中国沙漠, 2013 , 33(6) : 1884 -1890 . DOI: 10.7522/j.issn.1000-694X.2013.00250
Based on daily precipitation data collected in 13 meteorological stations over Hedong area of Gansu Province, China during 1960-2011, the method of linear regression, inverse distance weighted interpolation, Mann-Kendall test, wavelet analysis and rescaled range analysis are employed to analyze the spatial and temporal variability of extreme precipitation, and the trend of extreme precipitation is also predicted. The results are as follows: (1) During 1960-2011, consecutive dry days have significantly increasing trend. The other indices decrease and only heavy precipitation days decrease significantly at the 0.05 level. There are obvious differences between monsoon sub-area and plateau sub-area. In monsoon sub-area, heavy precipitation days, very wet day precipitation and precipitation on wet days have significantly decreasing trends, whereas consecutive dry days increase significantly. In plateau sub-area, consecutive wet days have asignificantly decreasing trend. (2) Spatially, for consecutive dry days, most of places display increasing trends. The other indices show decreasing trends, mainly concentred in the middle and southeast of Hedong. (3) The departure sequence vibration of the extreme precipitation indices is quasi-20 years and 5-8 years. At the same time, the extreme precipitation indices reflect different structures which are more or less in different time scales. (4) For heavy precipitation days, consecutive dry days, very wet day precipitation and precipitation on wet days, the abrupt change is discovered in the 1970s, whreras the abrupt change of consecutive wet days and maximum 5-day precipitation happen is in the 1980s. (5) In the plateau sub-area, the variation of heavy precipitation days and consecutive wet days is not stable in future. Compared to the past, the other indices are consistent with patterns in future.
Key words： extreme precipitation; consecutive dry days; Morlet analysis; Hedong area
[1]Wang B L,Zhang M J,Wei J L,et al.Change in extreme events of temperature and precipitation over Xinjiang,Northwest China,during 1960-2009[J].Quaternary International,2013,298:141-151.
[2]Changnon S A,Pielk Jr R A,Changnon D,et al.Human factors explain the increased losses from weather and climate extremes[J].Bulletin of the American Meteorological Society,2000,81(3):437-442.
[3]Easterling D R,Evans J L,Ya Groisman P,et al.Observed variability and trends in extreme climate events:a brief review[J]. Bulletin of the American Meteorological Society,2000,81(3):417-425.
[4]王凌,高歌,张强,等.2008年1月我国大范围低温雨雪冰冻灾害分析[J].气象,2008,34(4):95-100.
[5]罗勇,孙颖,高学杰,等.气候变化研究关键科学问题进展[J].气候变化通讯,2003,2(2):15-18.
[6]Moberg A,Jones P D.Trends in indices for extremes in daily temperature and precipitation in central and western Europe,1901-99[J].International Journal of Climatology,2005,25(9)18:1149-1171.
[7]Groisman P Y,Knight R W,Easterling D R,et al.Trends in intense precipitation in the climate record[J].Journal of Climate,2005,18(9):1326-1350.
[8]IPCC.Climate Change 2007:The Physical Science Basis[R].Cambridge,United Kingdom:Cambridge University Press,2007:996.
[9]赵庆云,张武,王式功,等.西北地区东部干早半干早区极端降水事件的变化[J].中国沙漠,2005,25(6):904-909.
[10]翟盘茂,任福民,张强.中国降水极值变化趋势检测[J].气象学报,1999,7(2):208-217.
[11]潘晓华.中国近50年极端温度和降水事件研究[D].北京:中国气象科学研究院,2002.
[12]王颖.1955-2004年极端气温事件的时空变化特征研究[D].南京:南京信息工程大学,2006.
[13]赵庆云,赵红岩,刘新伟.西北东部极端降水事件及异常旱涝季节变化倾向[J].中国沙漠,2006,26(5):745-749.
[14]杨金虎,江志红,杨启国,等.中国西北汛期极端降水事件分析[J].中国沙漠,2007,27(2):320-325.
[15]杨金虎,江志红,王鹏祥,等.中国西北极端降水事件年内非均匀性特征分析[J].中国沙漠,2008,28(1):78-184.
[16]汪宝龙,张明军,魏军林,等.1960-2009年青海省极端降水事件的变化特征[J].水土保持通报,2012,32(4):92-96.
[17]姚宗国,赵光平,王咏青,等.西北太平洋台风对西北地区东部降水的影响分析[J].中国沙漠,2008,28(6):1157-1162.
[18]杨金虎,江志红,白虎志.西北区东部夏季极端降水事件同太平洋SSTA的遥相关[J].高原气象,2008,27(4):331-338.
[19]王兴梅,张勃,戴声佩,等.甘肃省黄土高原区夏季极端降水的时空特征[J].中国沙漠,2011,31(1):223-229.
[20]张延伟,姜逢清,魏文寿,等.1961-2004年新疆降水极值概率分布特征[J].中国沙漠,2012,32(2):503-508.
[21]施雅风,张祥松.气候变化对西北干旱区地表水资源的影响和未来趋势[J].中国科学(B辑),1995,25(9):968-977.
[22]施雅风.气候变化对西北华北水资源的影响[M].济南:山东科学技术出版社,1995:95-119.
[23]李玲萍,李岩瑛,钱莉,等.1961-2005年河西走廊东部极端降水事件变化研究[J].冰川冻土,2010,32(3):497-504.
[24]徐宗学,米艳娇,李占玲,等.和田河流域气温与降水量长期变化趋势及其持续性分析[J].资源科学,2008,30(12):1833-1838.
[25]王洁,徐宗学.白洋淀流域气温与降水量长期变化趋势及其持续性分析[J].资源科学,2009,31(9):1498-1505.
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