AN Bin,ZHANG Shulan,XIAO Weiwei,et al.Spatial and Temporal Characteristics of Extreme Temperature Events in Shaanxi Province During 1955-2017[J].Research of Soil and Water Conservation,2020,27(06):317-323,331.
1955-2017年陕西省极端气温事件时空变化特征
- Title:
- Spatial and Temporal Characteristics of Extreme Temperature Events in Shaanxi Province During 1955-2017
- 文章编号:
- 1005-3409(2020)06-0317-07
- Keywords:
- extreme temperature indices; tendency rate; mutation characteristics; Pearson correlation; Shaanxi Province
- 分类号:
- P467
- 文献标志码:
- A
- 摘要:
- 为了深入认识气候变暖背景下陕西省极端气温事件变化规律,根据陕西省1955—2017年20个气象站逐日最高和最低气温资料,利用软件RClimDex(1.0)计算10种极端气温指数,辅以线性拟合、M-K突变和累积距平、相关分析等方法,分析了陕西省极端气温时空变化特征。结果表明:(1)近63 a陕西省极端最高气温、极端最低气温及表征暖指数的夏日、热夜、暖昼和暖夜日数均呈增加趋势,表征冷指数的霜冻、冰冻、冷昼和冷夜日数呈显著减少趋势,多数极端气温指数突变年份集中在20世纪90年代中后期—21世纪初。(2)空间上,极值指数和表征极端气温暖指数在多数站点呈增加趋势,表征极端气温冷指数在多数站点呈减少趋势; 镇安、定边和铜川站的各指数倾向率变幅最为明显。(3)近63 a来陕西省白昼增温幅度低于夜间增温幅度,暖夜日数上升趋势快于暖昼,冷昼日数下降趋势快于冷夜,存在气温昼夜指数变化的不对称性。陕西省极端气温事件主要受日最高、最低温升高的影响,而日最高温的上升对各指数影响更为明显。
- Abstract:
- In order to have a deep recognition of the variation features of extreme temperature events in Shaanxi Province under the influence of global warming, based on the daily maximum and minimum temperature data of 20 meteorological stations in the period of 1955—2017 in Shaanxi Province, 10 types of extreme temperature indices were calculated by RClimDex(1.0). Thus, spatial and temporal characteristics of extreme temperature events were analyzed by linear fitting, Mann-Kendall(M-K)mutation test, cumulative departure and correlation analysis, etc. The results showed that the occurrence of summer days(SU25), tropical nights(TR20), warm days(TX90), warm nights(TN90)had the obvious increasing trends; the monthly maximum value of daily maximum temperature(TXx)and monthly minimum value of daily minimum temperature(TNn)showed the increasing trends of 0.17℃/decade, 0.19℃/decade; on the contrary, the occurrence of frost days(FD0), ice days(ID0), cool days(TX10)and cool nights(TN10)were found to decrease significantly; most of the sudden changes of extreme temperature indices concentrated from the middle and late 1990s to the beginning of the 21st century; in terms of spatial distribution, most stations of extreme indices as high temperature events and extremal indices showed the increasing trend, while extreme indices as low temperature events showed the inverse trend; the most obvious variations of index tendency rates were found in Zhenan, Dingbian and Tongchuan stations; in recent 63 years, the daily temperature increase was lower than that at night; the increasing trend of TX90 was faster than that of TN90, and the decreasing trend of TX10 was faster than that of TN10. The above results indicate that there is an asymmetry of temperature and diurnal index changes in Shaanxi Province. The extreme temperature events in Shaanxi Province are mainly affected by the rise of the highest and lowest temperature in the day, and the rise of the highest temperature in the day has more obvious influence on each index.
参考文献/References:
[1] IPCC. Climate change 2013: Managing the Risks of Extreme Events and Disaster to Advance Climate Change Adaptation[M]. Cambridge, UK: Cambridge University Press, 2013.
[2] Meehl G A, Tebaldi C. More intense, more frequent, and longer lasting heat waves in the 21st century[J]. Science, 2004,305(5686):994-997.
[3] 中国气象局.中国气候变化蓝皮书[M].北京:中国气象局气候变化中心,2018.
[4] 沈永平,王国亚.IPCC第一工作组第五次评估报告对全球气候变化认知的最新科学要点[J].冰川冻土,2013,35(5):1068-1076.
[5] Karl T R, Jones P D, Knight R W, et al. A new perspective on recent global warming: asymmetric trends of daily maximum and minimum temperature[J]. Bulletin of the American Meteorological Society, 1993,74(6):1007-1024.
[6] Alexander L V, Zhang X B, Peterson T C, et al. Global observed changes in daily climate extremes of temperature and precipitation[J]. Journal of Geophysical Research Atmospheres, 2006,111.DOI:10.1029/2005JD006290.
[7] 杨萍,侯威,封国林.中国极端气候事件的群发性规律研究[J].气候与环境研究,2010,15(4):365-370.
[8] Donat M G, Alexander L V, Yang H. Global land-based datasets for monitoring climatic extremes[J]. Bulletin of the American Meteorological Society, 2013,94(7):997-1006.
[9] 任国玉,封国林,严中伟.中国极端气候变化观测研究回顾与展望[J].气候与环境研究,2010,15(4):337-353.
[10] 黄小燕,王小平,王劲松,等.1960—2013年中国沿海极端气温事件变化特征[J].地理科学,2016,36(4):612-620.
[11] 朱大运,熊康宁,肖华.贵州省极端气温时空变化特征分析[J].资源科学,2018,40(8):1672-1683.
[12] 赵国永,韩艳,刘明华,等.1951—2014年内蒙古自治区极端气温事件时空变化特征[J].干旱区资源与环境,2017,31(12):110-116.
[13] 刘青娥,吴孝情,陈晓宏,等.珠江流域1960—2012年极端气温的时空变化特征[J].自然资源学报,2015,30(8):1356-1366.
[14] 徐兆红.晋陕蒙地区历史时期寒冻灾害研究[D].西安:陕西师范大学,2017.
[15] 李良序,范建忠,鲁渊平,等.陕西灾害性天气气候图集[M].西安:陕西科学技术出版社,2009.
[16] 张宁.近50年来陕西省气温和降水极端事件分析[D].兰州:西北师范大学,2012.
[17] 陈建宇,邵天杰,赵景波.陕西榆林地区1954—2013年极端气温变化特征[J].中国沙漠,2016,36(5):1426-1434.
[18] 赵景波,杨晓玉,许永红,等.陕西安康近50年来极端气温指数变化研究[J].灾害学,2016,31(2):89-94.
[19] 高文兰,李双双,段克勤,等.基于均一化资料的西安极端气温变化特征研究[J].地理科学,2018,38(3):464-473.
[20] 王钰,冯起.陕北地区1960—2013年极端气温指数[J].中国沙漠,2016,36(4):1097-1105.
[21] Zhang X B, Yang F. RClimDex(1.0), User Manual[Z]. Ontario, Canada: Climate Research Branch, Environment Canada Downsview, 2004.
[22] 尹红,孙颖.基于ETCCDI指数2017年中国极端温度和降水特征分析[J].气候变化研究进展,2019,15(4):363-373.
[23] 董思,任志远,张翀,等.陕西省气候变化及其气候生产潜力的时空变化[J].中国农业大学学报,2016,21(8):142-149.
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备注/Memo
收稿日期:2019-12-23 修回日期:2020-01-16
资助项目:国家自然科学基金重点项目(41230852); 陕西省科技厅项目(2017NY-202); 安康学院高层次人才科研专项(182401245); 陕西省教育厅项目(17JK0014)
第一作者:安彬(1988—),男,江西九江人,硕士,讲师,主要从事区域环境与GIS应用研究及教学工作。E-mail:anbinwt@126.com