Spatio-temporal Variations of Potential Evapotranspiration around Taklimakan Desert and the Main Influencing Factors

Weather and Climate

Spatio-temporal Variations of Potential Evapotranspiration around Taklimakan Desert and the Main Influencing Factors

DUAN Chun-feng1,2, MIAO Qi-long1,2, CAO Wen1,2

1.Jiangsu Key Lab of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China;
2.College of Applied Meteorology, Nanjing University of Information Science &Technology,Nanjing 210044, China

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Abstract

Potential evapotranspiration (ET0) is a key factor for analyzing regional moisture condition, estimating crop water requirement and managing water resources. In the study, based on the daily meteorological data during 1961-2009 from 16 meteorological stations around the Taklimakan Desert, we computed ET0 with the Penman-Monteith equation recommended by FAO and analyzed its spatio-temporal variations and the influencing factors through the partial correlation analysis. Results showed that there are obviously regional differences in the average yearly ET0 variation and the main determining factor was the diverse topography and climate around the Taklimakan Desert. The annual and seasonal ET0 variations showed a general declining trend in 1961-2009, appearing a secondary increasing trend from the lowest value point since 1990s. In spatial pattern, ET0 decreased more significantly in the north part than in the south part around the Taklimakan Desert; the spatial distributions of seasonal ET0 in spring, summer and autumn had roughly similar pattern compared with that of annual ET0, while the spatial distribution in winter showed more increasing trends at these stations. The absolute values of partial correlation coefficients between ET0 and the climate variables indicated that wind speed played the most important role in the change of ET0 around the Taklimakan Desert; the secondly significant factor was sunshine duration in spring and summer, and it was air temperature in autumn and winter.

Key words: potential evapotranspiration change trend partial correlation coefficient Taklimakan Desert periphery

Received: 15 December 2011 Published: 17 February 2012

ZTFLH:

P426.2



	Articles by authors
	DUAN Chun-feng1
	2
	MIAO Qi-long1
	2
	CAO Wen1
	2

Cite this article:

DUAN Chun-feng1,2, MIAO Qi-long1,2, CAO Wen1,2. Spatio-temporal Variations of Potential Evapotranspiration around Taklimakan Desert and the Main Influencing Factors. JOURNAL OF DESERT RESEARCH, 2012, 32(6): 1723-1730.

URL:

http://www.desert.ac.cn/EN/ OR http://www.desert.ac.cn/EN/Y2012/V32/I6/1723

[1]潘晓玲,王学才,雷加强.关于中国西部干旱半干旱区生态环境演变与调控研究的思考[J].地球科学进展,2001,16(1):24-27.

[2]任朝霞,杨达源.近50 a西北干旱半干旱区气温分区及其变化趋势研究[J].干旱区资源与环境,2006,20(1):99-103.

[3]王劲松,费晓玲,魏锋.中国西北近50 a来气温变化特征的进一步研究[J].中国沙漠,2008,28(4):724-732.

[4]韩建康,刘业祥,刘永健.塔克拉玛干沙漠周边地区20世纪前半叶夏季气温趋势变化[J].干旱区地理,2007,30(1):89-93.

[5]袁玉江,何清,李江风,等.塔克拉玛干地区近40 a来的冷暖变化[J].中国沙漠,1998,18(2):118-122.

[6]袁玉江,李江风,叶玮.塔克拉玛干地区近四十年来的干湿变化[J].干旱区地理,1998,21(1):18-24.

[7]马志福,谭芳,侯勤东.塔克拉玛干沙漠地区温压湿分布规律研究[J].中国沙漠,2000,20(3):289-292.

[8]周宰根,韩建康,李永能,等.塔克拉玛干沙漠周边地区暖季气温、降水的变化特征及其响应分析[J].石河子大学学报(自然科学版),2008,26(1):56-59.

[9]李江风.塔克拉玛干沙漠和周边山区天气气候[M].北京:科学出版社,2003:743-755.

[10]凌裕泉.塔克拉玛干沙漠的气候特征及其变化趋势[J].中国沙漠,1990,10(2):9-19.

[11]杨莲梅.塔克拉玛干地区气候变化对全球变暖的响应[J].中国沙漠,2003,23(5):497-502.

[12]普宗朝,张山清,李景林,等.近47 a塔克拉玛干沙漠周边地区气候变化[J].中国沙漠,2010,30(2):413-421.

[13]施雅风,沈永平,胡汝骥.西北气候由暖干向暖湿转型的信号、影响和前景初步探讨[J].冰川冻土,2002,24(3):219-226.

[14]施雅风,沈永平,李栋梁,等.中国西北气候由暖干向暖湿转型的特征和趋势探讨[J].第四纪研究,2003,3(2):152-164.

[15]施雅风,沈永平,李栋梁,等.中国西北气候由暖干向暖湿转型问题评估[M].北京:气象出版社,2003:17-44.

[16]傅丽昕,陈亚宁,李卫红,等.塔里木河源流区近50 a径流量与气候变化关系研究[J].中国沙漠,2010,30(1):204-209.

[17]徐长春,陈亚宁,李卫红,等.塔里木河流域近50年气候变化及其水文过程响应[J].科学通报,2005,51(增):21-30.

[18]叶茂,徐海量,宋郁东.塔里木河流域水资源利用及其变化趋势分析[J].科学通报,2005,51(增):14-20.

[19]Allen R G,Perreira L S,Raes D,et al. Crop Evapotranspiration: Guidelines For Computing Crop Water Requirements [R].FAO Irrigation and Drainage Paper 56,Rome,1998.

[20]王素萍.近40 a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.

[21]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(5):676-680.

[22]李玲玲,黄高宝.绿洲灌区参考作物蒸散量的测算[J].中国沙漠,2011,31(1):141-148.

[23]普宗朝,张山清.近48年新疆夏半年参考作物蒸散量时空变化[J].中国农业气象,2011,32(1):67-72.

[24]王素萍.近40 a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.

[25]李玉霖,崔建垣,张铜会.参考作物蒸散量计算方法的比较研究[J].中国沙漠,2002,22(4):372-376.

[26]童宏良.我国蒸发力计算的气候学方法[J].南京气象学院学报,1989,12(1):20-33.

[27]Sen P K. Estimates of the regression coefficient based on Kendall’s tau[J].Journal of the American Statistical Association,1968,63:1379-1389.

[28]Kendall M G,Gibbons J D.Rank Correlation Methods[M].London,UK:Edward Arnold,1981.

[29]Libiseller C.A Program For The Computation of Multivariate And Partial Mann-Kendall Test[M].Sweden:University of Linkping,2002.

[30]Zhang J Y,Zhang S L,Wang J X,et al.Study on runoff trends of the six larger basins in China over the past 50 years [J].Advances in Water Science,2007,18(2):230-234.

[31]Gao G,Chen D L,Ren G Y,et al.Spatial and temporal variations and controlling factors of potential evapotranspiration in China:1956-2000[J].Journal of Geographical Sciences,2006,16 (1):3-12.

[32]徐桂荣,万卫星,宁百齐.用偏相关分析电离层NmF2与低层大气等压面高度的相关性[J].科学通报,2007,52(9):1069-1074.

[33]刘翠善.我国不同气候区蒸发能力模拟及其对气候变化的响应[D].南京:南京水利科学研究院,2010:83-103.

[34]尹云鹤,吴绍洪,戴尔阜.1971-2008年我国潜在蒸散时空演变的归因[J].科学通报,2010,55(22):2226-2234.

[35]曹雯,申双和,段春锋.西北地区生长季参考作物蒸散变化成因的定量分析[J].地理学报,2011,66(3):407-415.

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