ZHANG Hansheng,LI Xiehui,LIU Zitang,et al.Spatial and Temporal Change Characteristics of Extreme Climate Events in Yunnan Province in Recent 50 Years[J].Journal of Chengdu University of Information Technology,2021,36(04):434-442.[doi:10.16836/j.cnki.jcuit.2021.04.013]
近50年云南省极端气候事件时空变化特征
- Title:
- Spatial and Temporal Change Characteristics of Extreme Climate Events in Yunnan Province in Recent 50 Years
- 文章编号:
- 2096-1618(2021)04-0434-09
- Keywords:
- applied meteorology; extreme climate; extreme temperature index; extreme precipitation index; spatial and temporal changecharacteristics; Yunnan Province
- 分类号:
- P461
- 文献标志码:
- A
- 摘要:
- 为研究云南省极端气候事件的时空变化特征,利用云南省28个气象站点1965-2014年逐日气象数据,首先分析了年均气温和年均降水量的时空变化特征,然后通过计算22个极端气候指数,对近50年来的12个极端气温指数和10个极端降水指数进行了时空变化特征分析。结果表明:(1)云南省1965-2014年年均气温总体上呈波动上升趋势,年际气温距平升温率为0.3 ℃/10 a,年均降水总体上则呈波动下降趋势,年际降水距平递减率为18.3 mm/10 a,年均气温和降水的空间分布大致都呈现从南向北递减的趋势;(2)12个极端气温指数中,冷夜日数TN10p、冷昼日数TX10p、霜冻日数FD0、冰冻日数ID0和冷持续指数CSDI的线性倾向率都呈下降趋势,暖夜日数TN90p、暖昼日数TX90p、最高气温极大值TXx、最高气温极小值TXn、最低气温极大值TNx、最低气温极小值TNn和热持续指数WSDI的线性倾向率都呈上升趋势,表明冷指数变暖或减少,暖指数变暖或增加;(3)10个极端降水指数中,湿日降水量PRCPTOT、强降水量R95p、极强降水量R99p、低强度降水日数R10mm、中等强度降水日数R20mm、最大5日降水量RX5day和连续湿润日数CWD整体都呈下降趋势,降水强度SDII、最大1日降水量RX1day和连续干旱日数CDD整体都呈上升趋势,表明云南省整体年均降水量和降水次数在减少,但极端降水事件和降水强度反而在增加,干旱化趋势明显。
- Abstract:
- In order to study the spatio-temporal change characteristics of extreme climate events in Yunnan Province, the daily meteorological data of 28 meteorological stations from 1965 to 2014 were used to analyze the temporal and spatial variation characteristics of annual average temperature and annual average precipitation in Yunnan Province. Then, by calculating 22 extreme climate indices, the temporal and spatial change characteristics of 12 extreme temperature indices and 10 extreme precipitation indices in recent 50 years were analyzed. The results show that:(1)The annual average temperature in Yunnan Province from 1965 to 2014 showed an overall upward trend, and the interannual temperature anomaly warming rate was 0.3 ℃/10a, while the annual average precipitation showed a fluctuating downward trend, and the interannual precipitation anomaly decline rate was 18.3 mm/10a. The spatial distribution of annual average temperature and precipitation was decreasing from south to north.(2)Among the 12 extreme temperature indices, the linear tendency rates of TN10p, TX10p, FD0, ID0 and CSDI showed a downward trend, while those of TN90p, TX90p, TXx, TXn, TNx, TNn and WSDI showed an upward trend. These indicated that the cold index was warming or decreasing, and the warm index was warming or increasing;(3)Among the 10 extreme precipitation indices, PRCPTOT, R95p, R99p, R10mm, R20mm, RX5day and CWD all showed a downward trend, while SDII, RX1day and CDD showed an overall upward trend. These indicated that the overall annual average precipitation and precipitation frequency were decreasing, but the numbers of the extreme precipitation events and precipitation intensity were increasing, and the drought trend was obvious in Yunnan Province.
参考文献/References:
[1] T R Kark,G Kukla,V N Razuvayev,et al.Global warming: Evidence for asymmetric diurnal temperature change[J].Geophysical Research Letters,1991,18(12):2253-2256.
[2] P Frich,L V Alexander,P Della-Marta,et al.Observed coherent changes in climatic extremes during the second half of the twentieth century[J].Climate Research,2002,19(3):193-212.
[3] M J Manton,P M Della Marta,K J Haylock,et al.Trends in extreme daily rainfall and temperature in Southeast Asia and the South Pacific:1961-1998[J].International Journal of Climatology,2001,21(3):269-284.
[4] 蒋卓亚.中国极端气温及降水事件的时空特征研究[D].上海:华东师范大学,2017.
[5] 班军梅,缪启龙,李雄.西南地区近50年来气温变化特征研究[J].长江流域资源与环境,2006,15(3):346-351.
[6] 袁文德,郑江坤.1962-2012年西南地区极端温度事件时空变化特征[J].长江流域资源与环境,2015,24(7):1246-1254.
[7] T Stephenson,L Vincent,T Allen,et al.Trends and variability of daily and extreme temperature and precipitation in the Caribbean region,1961-2010[C].EGU General Assembly Conference Abstracts,2013,15.
[8] M Abbasnia,H Toros.Analysis of long-term changes in extreme climatic indices:a case study of the Mediterranean climate,Marmara Region,Turkey[J].Pure Appl.Geophys,2018,175:3861-3973.
[9] 刘学华,季致建,吴洪宝,等.中国近40年极端气温和降水的分布特征及年代际差异[J].热带气象学报,2006(6):618-624.
[10] 严中伟,杨赤.近几十年中国极端气候变化格局[J].气候与环境研究,2000,5(3):267-272.
[11] 罗玉.西南地区极端降水和气温的变化特征及其与高原夏季风的关系研究[D].成都:成都信息工程大学,2015.
[12] 曾少聪.生态人类学视野中的西南干旱——以云南旱灾为例[J].贵州社会科学,2010,251(11):24-28.
[13] 尹明丽,徐华君,赵国永,等.1961-2016年黑龙江省极端气温事件变化特征[J].水土保持研究,2020,27(2):238-245.
[14] 王晓宁,岳大鹏,赵景波,等.黑龙江省1958-2017年极端降水时空变化与灾害效应[J].水土保持研究,2020,27(5):138-146.
[15] 张万诚,郑建萌,马涛,等.1961-2012年云南省极端气温时空演变规律研究[J].资源科学,2015,37(4):710-722.
相似文献/References:
[1]汤 彬,肖国杰,邬 亮.拉萨市近54年气温变化特征[J].成都信息工程大学学报,2019,(01):72.[doi:10.16836/j.cnki.jcuit.2019.01.014]
TANG Bin,XIAO Guojie,WU Liang.Variation Characteristics of Air Temperature in Lhasa City in Recent 54 Years[J].Journal of Chengdu University of Information Technology,2019,(04):72.[doi:10.16836/j.cnki.jcuit.2019.01.014]
[2]雷 蕾,程志刚,冯冬蕾,等.近16年秦巴山区TRMM降水资料的降尺度研究[J].成都信息工程大学学报,2018,(02):190.[doi:10.16836/j.cnki.jcuit.2018.02.014]
LEI Lei,CHENG Zhi-gang,FENG Dong-lei,et al.Statistical Downscaling of TRMM Precipitation Data inQinling-Daba Mountains Area in Recent 16 Years[J].Journal of Chengdu University of Information Technology,2018,(04):190.[doi:10.16836/j.cnki.jcuit.2018.02.014]
[3]刘新超,孙燕玲,朱克云.京昆高速成绵段大雾特征与气象要素分析[J].成都信息工程大学学报,2016,(增刊1):54.
[4]周天财,孙 建,于 欢.1980-2013年青藏高原气候时空变化特征研究[J].成都信息工程大学学报,2017,(05):524.[doi:10.16836/j.cnki.jcuit.2017.05.010]
ZHOU Tian-cai,SUN Jian,YU Huan.Spatial and Temporal Patterns of Climate in the Tibetan Plateau(1980-2013)[J].Journal of Chengdu University of Information Technology,2017,(04):524.[doi:10.16836/j.cnki.jcuit.2017.05.010]
[5]田云杰.基于K指数的四川省3月干旱研究[J].成都信息工程大学学报,2017,(05):571.[doi:10.16836/j.cnki.jcuit.2017.05.018]
TIAN Yun-jie.Study on Drought in March of Sichuan Province based on K Index[J].Journal of Chengdu University of Information Technology,2017,(04):571.[doi:10.16836/j.cnki.jcuit.2017.05.018]
[6]潘文琪,肖国杰,孟林夕,等.杭州市臭氧污染特征及其气象成因分析[J].成都信息工程大学学报,2019,(06):664.[doi:10.16836/j.cnki.jcuit.2019.06.016]
PAN Wenqi,XIAO Guojie,MENG Linxi,et al.Characteristics of Ozone Pollution and Analysis of Meteorological Causes in Hangzhou City[J].Journal of Chengdu University of Information Technology,2019,(04):664.[doi:10.16836/j.cnki.jcuit.2019.06.016]
[7]曹 阳,马 盼,王馨梓,等.呼吸与循环系统疾病死亡与气象条件的关联性[J].成都信息工程大学学报,2020,35(01):123.[doi:10.16836/j.cnki.jcuit.2020.01.017]
CAO Yang,MA Pan,WANG Xinzi,et al.The Associations between Meteorological Conditions and Deaths for Respiratory and Circulatory Diseases[J].Journal of Chengdu University of Information Technology,2020,35(04):123.[doi:10.16836/j.cnki.jcuit.2020.01.017]
[8]阮虞清,李林岑,黄梓芸,等.夏季川渝地区臭氧污染的气象成因研究[J].成都信息工程大学学报,2021,36(04):425.[doi:10.16836/j.cnki.jcuit.2021.04.012]
RUAN Yuqing,LI Lincen,HUANG Ziyun,et al.Meteorological Causes of Ozone Pollution in Sichuan and Chongqing in Summer[J].Journal of Chengdu University of Information Technology,2021,36(04):425.[doi:10.16836/j.cnki.jcuit.2021.04.012]
[9]孙丽君,李谢辉.气候变暖背景下云南省旱灾风险区划研究[J].成都信息工程大学学报,2021,36(04):443.[doi:10.16836/j.cnki.jcuit.2021.04.014]
SUN Lijun,LI Xiehui.Study on Drought Disaster Risk Zoning in Yunnan Province under the Background of Climate Warming[J].Journal of Chengdu University of Information Technology,2021,36(04):443.[doi:10.16836/j.cnki.jcuit.2021.04.014]
[10]林颖仪,王式功,马 盼,等.基于气候季节划分的海南岛气候康养特征探析[J].成都信息工程大学学报,2021,36(06):705.[doi:10.16836/j.cnki.jcuit.2021.06.018]
LIN Yingyi,WANG Shigong,MA Pan,et al.Exploration of the Characteristics of Climatotherapy in Hainan Island based on the Division of Climate Seasons[J].Journal of Chengdu University of Information Technology,2021,36(04):705.[doi:10.16836/j.cnki.jcuit.2021.06.018]
备注/Memo
收稿日期:2020-10-28
基金项目:科技部第二次青藏高原综合科学考察研究资助子项目(2019QZKK0105); 2020年大学生创新创业训练计划资助项目(202010621007)