1961—2012年甘肃省干湿变化特征及其影响因子

doi:10.7522/j.issn.1000-694X.2014.00014

摘要/Abstract

摘要： 基于1961—2012年甘肃省和青海省祁连山区54个气象站逐日气象数据,分析了甘肃省地表湿润指数的时空变化特征及各气象要素对不同区域干湿变化的影响程度.结果表明:近52年,以黄河为界,甘肃东、西部呈现出不同的干湿变化趋势,河东地区趋于干旱,尤其是陇中和陇东部分地区;河西部分区域趋于湿润,尤其是祁连山中部地区.河东变干主要是秋季显著变干,其中9月最突出;河西变湿主要是冬季变湿,尤其是在12月和1月.敏感性和贡献度分析表明,除降水量外,地表湿润指数对空气相对湿度的敏感性最高,其次是日照时数,再次是最高温度和平均风速,对最低温度的敏感性最低.近52年地表湿润指数-30％～30%的相对变化量中,降水量的贡献最大,贡献量在-30%～25%;其次是风速,贡献量在-4％～12%,最高温度、最低温度、日照时数以及相对湿度的贡献较小,在-4％～4%.

关键词: 甘肃省, 地表湿润指数, 气候变化, 敏感性, 定量分析

Abstract: In this study, the change of the surface wetness index (SWI) was investigated in Gansu province using the observed meteorological data from 54 stations during 1961 to 2012. The results showed that bounded by the Yellow River, SWI were different from east to west, in the east of the Yellow River it tended to dry, especially in Longdong area, and in western part it tended to wet, especially in the central of Qilian Mountain. The dry trends in eastern part mainly happened in autumn, especially in September, and wet in western area occurred in winter, especially in December and January. A differentiation equation method was used to attribute the change in surface wetness index to climate variables. The results indicate that except for precipitation, the surface wetness index was most sensitive to the change in relative humidity, followed by sunshine duration, maximum temperature, and wind speed respectively, the minimum temperature has the lowest sensitivity. The actual relative change of SWI was between -30% to 30% in the past 52 years, and precipitation was the dominant factor which contributed -30% to 25% of the change. followed by wind speed with -4% to 12%,the contribution of maximum temperature, sunshine duration and relative humidity were small than others ,which caused -4% to 4% changes of SWI.

Key words: Gansu, surface wetness index (SWI), climate change, sensitivity

中图分类号:

P426.1

王素萍, 李耀辉, 冯建英, 王劲松, 王静. 1961—2012年甘肃省干湿变化特征及其影响因子[J]. 中国沙漠, 2014, 34(6): 1624-1632.

Wang Suping, Li Yaohui, Feng Jianying, Wang Jinsong, Wang Jing. Changes and Driving Factors of Surface Wetness Indexin Gansu, China form 1961 to 2012[J]. JOURNAL OF DESERT RESEARCH, 2014, 34(6): 1624-1632.

参考文献

[1] Dai A G,Trenberth K T,Qian T T.A global dataset of Palmer drought severity index for 1870-2002:relationship with soil moisture and effects of surface warming[J].Journal of Hydrometeorology,2004,5:1117-1130.
[2] 马柱国,符淙斌.1951～2004年我国北方干旱化的基本事实[J].科学通报,2006,51(20):2429-2439.
[3] 马柱国,任小波.1951-2005年中国区域气候变化与干旱化趋势[J].气候变化研究进展,2007,3(4):195-201.
[4] 申双和,张方敏,盛琼. 1975—2004年中国湿润指数时空变化特征[J].农业工程学报,2009,25(1):11-15.
[5] 吴绍洪,尹云鹤,郑度,等.近30年中国陆地表层干湿状况研究[J].中国科学D辑,2005,35(3):276-283.
[6] 尹云鹤,吴绍洪,郑度,等.近30年我国干湿状况变化的区域差异[J].科学通报,2005,50(15):1636-1642.
[7] Liu X M,Zhang D,Luo Y Z,et al.Spatial and temporal changes in aridity index in northwest China:1960 to 2010[J]. Theoretical and Applied Climatology,2013,112(1/2):307-316.
[8] 杜军,李春,拉巴,等.西藏近35年地表湿润指数变化特征及其影响因素[J].气象学报,2009,67(1):158-164.
[9] 靳立亚,李静,王新,等.近50年来中国西北地区干湿状况时空分布[J].地理学报,2004,59(6):847-854.
[10] 普宗朝,张山清,王胜兰,等.近48 a新疆干湿气候时空变化特征[J].中国沙漠,2011,31(6):1563 -1572.
[11] 杨建平,丁永建,陈仁升,等.近50年来中国干湿气候界线的10年际波动[J].地理学报,2002,57(6):655-661.
[12] 张强,张存杰,白虎志,等.西北地区气候变化新动态及对干旱环境的影响——总体暖干化,局部出现暖湿迹象[J].干旱气象,2010,28(1):1-7.
[13] 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.
[14] 施雅风,沈永平,李栋梁,等,中国西北部气候由暖干向暖湿转型的特征和趋势探讨[J].第四纪研究,2003,23(2):152-164.
[15] 陈志昆,张书余,雒佳丽,等.中国西北地区降水异常的气候分析[J].中国沙漠,2013,33(6):1874-1883.
[16] 高歌,陈德亮,任国玉.1956-2000年中国潜在蒸散量变化趋势[J].地理研究.2006,25(3):378-387.
[17] 王素萍,张存杰,韩永翔.甘肃省不同气候区蒸发量变化特征及其影响因子研究[J].中国沙漠,2010,30(3):675-680.
[18] 王素萍.近40年江河源区潜在蒸散量变化特征及影响因子分析[J].中国沙漠,2009,29(5):960-965.
[19] Allen R G,Pereira L S,Rees D,et al.Crop Evapotranspiration—Guidelines for Computing Crop Water Requirements.[R].Rome,Italy:FAO,1998:56.
[20] Jensen M E,Barman R D,Allen R G.Evapotranspiration and Irrigation Water Requirements[R]. Manuals and Reports on Engineering Practices No.70.New York,USA:ASCE,1990.
[21] McCuen R H.A sensitivity and error analysis of procedures used for estimating evaporation [J].Water Resource Bulletin,1974,10(3):486-498.
[22] Beven K.A sensitivity analysis of the Penman-Monteith actual evapotranspiration estimates[J].Journal of Hydrology,1979,44:169-190.
[23] Gong L B,Chong Y X,Chen D L,et al.Sensitivity of the Penman-Monteith reference evapotranspiration to key climate variables in the Changjiang(Yangtze River)basin[J].Journal of Hydrology,2006,329:620-629.
[24] Yin Y H,Wu S H,Chen G,et al.Attribution analyses of potential evapotranspiration changes in China since the 1960s[J].Theoretical and Applied Climatology,2010,101(1/2):19-28.
[25] 邹旭恺,张强.近半个世纪我国干旱变化的初步研究[J].应用气象学报,2008,19(6):679-687.
[26] Zhai J Q,Su B D,Valentina Krysanova,et al.Spatial variation and trends in PDSI and SPI indices and their relation to stream flow in 10 large regions of China[J].Journal of Climate,2010,23:649-663.
[27] 王春林,陈慧华,唐力生,等.基于前期降水指数的气象干旱指标及其应用[J].气候变化研究进展,2012,8(3):157-163.
[28] 李聪,肖子牛,张晓玲.近60年中国不同区域降水的气候变化特征[J].气象,2012,38(4):419-424.
[29] 王素萍,张存杰,李耀辉,等.基于标准化降水指数的1969-2011年中国不同时间尺度干旱特征[J].中国沙漠,2014,34(3):827-834.