Arid
DOI10.1007/s11442-014-1075-5
Quantitative estimation of climate change effects on potential evapotranspiration in Beijing during 1951-2010
Liu Haijun1,4; Li Yan1,2; Josef, Tanny3; Zhang Ruihao1; Huang Guanhua2
通讯作者Liu Haijun
来源期刊JOURNAL OF GEOGRAPHICAL SCIENCES
ISSN1009-637X
EISSN1861-9568
出版年2014
卷号24期号:1页码:93-112
英文摘要

Climate change is likely to affect hydrological cycle through precipitation, evapotranspiration, soil moisture etc. In the present study, an attempt has been made to study the climate change and the sensitivity of estimated evapotranspiration to each climatic variable for a semi-arid region of Beijing in North China using data set from 1951 to 2010. Penman-Monteith method was used to calculate reference crop evapotranspiration (ETo). Changes of ETo to each climatic variable was estimated using a sensitivity analysis method proposed in this study. Results show that in the past 60 years, mean temperature and vapor pressure deficit (VPD) were significantly increasing, relative humidity and sunshine hours were significantly decreasing, and wind speed greatly oscillated without a significant trend. Total precipitation was significantly decreasing in corn season (from June to September), but it was increasing in wheat season (from October to next May). The change rates of temperature, relative humidity, VPD, wind speed, annual total precipitation, sunshine hours and solar radiation were 0.42 degrees C, 1.47%, 0.04 kPa, 0.05 m.s(-1), 25.0 mm, 74.0 hours and 90.7 MJ.m(-2) per decade, respectively. In the past 60 years, yearly ETo was increasing with a rate of 19.5 mm per decade, and total ETos in wheat and corn seasons were increasing with rates of 13.1 and 5.3 mm per decade, respectively. Sensitivity analysis showed that mean air temperature was the first key factor for ETo change in the past 60 years, causing an annual total ETo increase of 7.4%, followed by relative humidity (5.5%) and sunshine hours (-3.1%); the less sensitivity factors were wind speed (0.7%), minimum temperature (-0.3%) and maximum temperature (-0.2%). A greater reduction of total ETo (12.3%) in the past 60 years was found in wheat season, mainly because of mean temperature (8.6%) and relative humidity (5.4%), as compared to a reduction of 6.0% in ETo during corn season due to sunshine hours (-6.9%), relative humidity (4.7%) and temperature (4.5%). Increasing precipitation in the wheat season will improve crop growth, while decreasing precipitation and increasing ETo in the corn season induces a great pressure for local government and farmers to use water more efficiently by widely adopting water-saving technologies in the future.


英文关键词climatic variables reference crop evapotranspiration Penman-Monteith equation changing trend sensitivity analysis
类型Article
语种英语
国家Peoples R China ; Israel
收录类别SCI-E
WOS记录号WOS:000328098000007
WOS关键词YANGTZE-RIVER BASIN ; NORTH CHINA PLAIN ; WINTER-WHEAT ; PAN EVAPORATION ; TREND ANALYSIS ; WATER CYCLE ; SENSITIVITY ; RADIATION ; VARIABLES ; IMPACT
WOS类目Geography, Physical
WOS研究方向Physical Geography
来源机构北京师范大学 ; 中国农业大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/183320
作者单位1.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China;
2.China Agr Univ, Coll Water Resources & Civil Engn, Beijing 100083, Peoples R China;
3.Agr Res Org, Volcani Ctr, Inst Soil Water & Environm Sci, IL-50250 Bet Dagan, Israel;
4.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100048, Peoples R China
推荐引用方式
GB/T 7714
Liu Haijun,Li Yan,Josef, Tanny,et al. Quantitative estimation of climate change effects on potential evapotranspiration in Beijing during 1951-2010[J]. 北京师范大学, 中国农业大学,2014,24(1):93-112.
APA Liu Haijun,Li Yan,Josef, Tanny,Zhang Ruihao,&Huang Guanhua.(2014).Quantitative estimation of climate change effects on potential evapotranspiration in Beijing during 1951-2010.JOURNAL OF GEOGRAPHICAL SCIENCES,24(1),93-112.
MLA Liu Haijun,et al."Quantitative estimation of climate change effects on potential evapotranspiration in Beijing during 1951-2010".JOURNAL OF GEOGRAPHICAL SCIENCES 24.1(2014):93-112.
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