[1]徐 飞,张汶海,赵玲玲*,等.1960—2018年珠江流域极端气温时空变化特征[J].山地学报,2022,(3):343-354.[doi:10.16089/j.cnki.1008-2786.000676]
　XU Fei,ZHANG Wenhai,ZHAO Lingling*,et al.Spatio-Temporal Variability in Extreme Temperature from 1960 to 2018 inthe Pearl River Basin, China[J].Mountain Research,2022,(3):343-354.[doi:10.16089/j.cnki.1008-2786.000676]
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1960—2018年珠江流域极端气温时空变化特征
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2022年第3期
页码:
343-354
栏目:
山地环境
出版日期:
2022-05-25

文章信息/Info

Title:
Spatio-Temporal Variability in Extreme Temperature from 1960 to 2018 inthe Pearl River Basin, China
文章编号:
1008-2786-(2022)3-343-12
作者:
徐 飞1; 2; 3; 张汶海4; 赵玲玲1; 2; 3*; 王 钧1; 2; 3; 宫清华1; 2; 3
1. 广东省科学院广州地理研究所,广州 510070; 2. 广东省遥感与地理信息系统重点实验室,广州 510070; 3. 广东省地理空间信息技术与应用公共实验室,广州 510070; 4. 澜湄水资源合作中心,北京 100038
Author(s):
XU Fei1; 2; 3;  ZHANG Wenhai4;  ZHAO Lingling1; 2; 3*; WANG Jun1; 2; 3;  GONG Qinghua1; 2; 3
1. Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China; 2. Guangdong Provincial Key Laboratory of Remote Sensing and Geographical Information System, Guangzhou 510070, China; 3. Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou 510070, China; 4. Lancang-Mekong River Resources Cooperation Center, Beijing 100038, China
关键词:
极端气温;  暖指数;  冷指数;  变化趋势;  珠江流域
Keywords:
extreme temperature;  warm indices;  cold indices;  variation tendency;  the Pearl River basin
分类号:
P461
DOI:
10.16089/j.cnki.1008-2786.000676
文献标志码:
A
摘要:
分析流域尺度极端气温事件时空变化特征及其原因,是区域气象灾害预警与风险防控的科学基础。中国疆域辽阔、气候复杂多变,加之地形与地理位置差异、各地极端气温变化表现不一,极端气候呈现出区域差异性的时空变化特征。珠江流域作为我国经济发展的重要增长区,是气候变化和生态环境的敏感区,极端高温事件频发,造成严重的经济损失。珠江流域极端气温时空变化方面的研究,过去并没有考虑地理因子对极端气温变化特征的影响。本文基于1960—2018年珠江流域内57个气象站点逐日平均、最高和最低气温资料,采用12个极端气温指数分析极端气温时空变化特征,预测其未来变化趋势。研究表明:(1)1960—2018年珠江流域极端气温暖指数呈增加趋势,而极端气温冷指数减少,并且极端低温变化趋势大于极端高温变化趋势,致使气温日较差下降。极端气温夜晚变化趋势较白天更为剧烈。(2)基于Hurst指数分析,所有极端气温指数Hurst指数值都大于0.5,表明未来珠江流域极端气温指数仍将保持目前的趋势方向。(3)珠江流域极端气温指数的变化具有明显的空间差异性,东南部低海拔区增温更为剧烈。(4)极端气温冷指数受涛动指数的影响较大,而极端气温暖指数受夏季风指数影响较大。本研究量化区域极端气温时空变化特征,可为流域极端气温预警决策提供科学指导。
Abstract:
A clear understanding of the spatio-temporal variability in extreme temperature events at watershed scale and their mechanism can build a scientific foundation for regional meteorological disaster warning and risk prevention and control. China has a vast territory and a complex and variable climate. The regional differences of the Pearl River basin in topographies, geographical locations, along with the large discrepancy in the formation of extreme temperature occurrences, all of them created a pattern of extreme climate characterized by district spatio-temporal. Being an area with high economic growth rate in China, the Pearl River basin is sensitive to climate change and ecological environment. The basin frequently experiences extreme heat events, resulting in significant economic losses. The impacts of geographic factors on the characteristics of extreme temperature changes were not taken into account on the spatiotemporal variability of extreme temperatures in the Pearl River basin. In this study, based on the daily mean, maximum, and minimum temperature data for 1960 to 2018 from 57 meteorological stations within the Pearl River basin, 12 extreme temperature indices were used to analyze the spatiotemporal variation characteristics of extreme temperatures and forecast their future trends. The study found the following results:(1)From 1960 to 2018, the extreme temperature warm indices in the Pearl River basin displayed an increasing trend, while the extreme temperature cold indices showed a decreasing trend. In addition, the extreme low temperature variation trend was larger than the extreme high temperature variation trend, resulting in a decrease in daily temperature difference. The extreme temperature change trend was more dramatic at night than one in the daytime.(2)The Hurst exponent values of all extreme temperature indices were greater than 0.5, indicating that the extreme climate indices in the Pearl River basin will maintain their current trend directions in the future.(3)The changes of extreme temperature indices in the Pearl River basin showed obvious spatial variability, with more intense temperature increases in the south-eastern low elevation area.(4)Extreme temperature cold indices were influenced by the oscillation index, whereas the extreme temperature warm indices were influenced by the summer wind index. This study can provide scientific information for early warning and decision-making of extreme temperatures in the basin.

参考文献/References:

[1] EASTERLING D R, MEEHL G A, PARMESAN C, et al. Climate extremes: Observations, modeling, and impacts [J]. Science, 2000, 289:2068-2074. DOI: 10.1126/science.289.5487.2068
[2] OLIVER E C J, DONAT M G, BURROWS M T, et al. Longer and more frequent marine heatwaves over the past century [J]. Nature Communications, 2018, 9:1-12. DOI: 10.1038/s41467-018-03732-9
[3] 林思婷,陈兴伟,黄婕. 福建省前后汛期最大一日降水量的时空变化[J]. 山地学报,2020,38(3):384-393. [LIN Siting, CHEN Xingwei, HUANG Jie. Temporal and spatial variations of maximum daily precipitation in the first and the second rainy seasons in Fujian province, China [J]. Mountain Research, 2020, 38(3):384-393] DOI: 10.16089/j.cnki.1008-2786.000518
[4] 甘露,刘睿,冀琴,等. 四川省极端降水事件时空演变特征[J]. 山地学报,2021,39(1):10-24. [GAN Lu, LIU Rui, JI Qin, et al. Spatio-temporal evolution characteristics analysis of extreme precipitation in Sichuan province, China [J]. Mountain Research, 2021, 39(1):10-24] DOI: 10.16089/j.cnki.1008-2786.000572
[5] 黄强,陈子燊. 全球变暖背景下珠江流域极端气温与降水事件时空变化的区域研究[J]. 地球科学进展,2014,29(8):956-967. [HUANG Qiang, CHEN Zishen. Regional study on the trends of extreme temperature and precipitation events in the Pearl River Basin [J]. Advances in Earth Science, 2014, 29(8):956-967] DOI: 10.11867 /j. issn.1001-8166.2014.08.0956
[6] GUAN Yinghui, ZHANG Xunchang, ZHENG Fenli, et al. Trends and variability of daily temperature extremes during 1960—2012 in the Yangtze River Basin, China [J]. Global and Planetary Change, 2015, 124:79-94. DOI: 10.1016/j.gloplacha.2014.11.008
[7] LIU Saiyan, HUANG Shengzhi, XIE Yangyang, et al. Spatial-temporal changes of maximum and minimum temperatures in the Wei River Basin, China: Changing patterns, causes and implications [J]. Atmospheric Research, 2018, 204:1-11. DOI: 10.1016/j.atmosres.2018.01.006
[8] TONG Siqin, LI Xiangqian, ZHANG Jiquan, et al. Spatial and temporal variability in extreme temperature and precipitation events in Inner Mongolia(China)during 1960—2017 [J]. Science of the Total Environment, 2019, 649:75-89. DOI: 10.1016/j.scitotenv.2018.08.262
[9] 汪宝龙,张明军,魏军林,等. 西北地区近50a气温和降水极端事件的变化特征[J]. 自然资源学报,2012,27(10):1720-1733. [WANG Baolong, ZHANG Mingjun, WEI Junlin, et al. The change in extreme events of temperature and precipitation over northwest China in recent 50 years [J]. Journal of Natural Resources, 2012, 27(10): 1720-1733] DOI: 10.11849/zrzyxb.2012.10.010
[10] 李富明,殷淑燕,殷田园. 1960—2017年秦巴山地及邻近区域极端气温时空变化特征[J]. 中山大学学报(自然科学版),2020,59(6):80-92. [LI Fuming, YIN Shuyan, YIN Tianyuan. The spatial-temporal variations of extreme temperatures in the Qinling-Daba mountains and adjacent areas during 1960-2017 [J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2020, 59(6):80-92] DOI:10.13471/j.cnki.acta.snus.2019.11.14.2019D048
[11] 王琼,张明军,王圣杰,等. 1962—2011年长江流域极端气温事件分析[J]. 地理学报,2013,68(5): 611-625. [WANG Qiong, ZHANG Mingjun, WANG Shengjie, et al. Extreme temperature events in Yangtze River Basin during 1962—2011 [J]. Acta Geographica Sinica, 2013, 68(5): 611-625]
[12] LI Zongxing, HE Yuanqing, WANG Puyu, et al. Changes of daily climate extremes in southwestern China during 1961—2008 [J]. Global and Planetary Change, 2012, 80-81:255-272. DOI: 10.1016/j.gloplacha.2011.06.008
[13] 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. [GAO Wenlan, LI Shuangshuang, DUAN Keqin, et al. Changes of extreme temperature events in Xi'an city based on homogenized data [J]. Scientia Geographica Sinica, 2018, 38(3):464-473] DOI: 10.13249/j.cnki.sgs.2018.03.017
[14] 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. [LIU Qing'e, WU Xiaoqing, CHEN Xiaohong, et al. Temporal and spatial variation characteristics of extreme temperature in the Pearl River Basin during 1960-2012 [J]. Journal of Natural Resources, 2015, 30(8): 1356-1366] DOI: 10.11849/zrzyxb.2015.08.010
[15] 王兆礼,陈晓宏,黄国如. 近40年来珠江流域平均气温时空演变特征[J]. 热带地理,2007,27(4):289-294. [WANG Zhaoli, CHEN Xiaohong, HUANG Guoru. Spatio-temporal change characteristics of mean temperature in the Pearl River Basin during 1961—2000 [J]. Tropical Geography, 2007, 27(4):289-294] DOI: 10.3969/j.issn.1001-5221.2007.04.001
[16] 谢毅文,李娟,陈伟荣,等. 1959—2013年珠江流域平均气温时空变化特征[J]. 中山大学学报:自然科学版,2016,55(3):30-38. [XIE Yiwen, LI Juan, CHEN Weirong, et al. Spatio-temporal variation of average temperature over the Pearl River basin during 1959—2013 [J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2016, 55(3):30-38] DOI: 10.13471/j.cnki.acta.snus.2016.03.005
[17] 徐飞,贾仰文,牛存稳,等. 横断山区气温和降水年季月变化特征[J]. 山地学报,2018,36(2):171-183. [XU Fei, JIA Yangwen, NIU Cunwen, et al. Variation character of annual, seasonal and monthly temperature and precipitation [J]. Mountain Research, 2018, 36(2):171-183] DOI: 10.16089/j.cnki.1008-2786.000313
[18] YUE Sheng, PILON P, CAVADIAS G. Power of the Mann-Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series [J]. Journal of Hydrology, 2002, 259(1): 254-271. DOI: 10.1016/S0022-1694(01)00594-7
[19] 姬霖,段克勤. 1960—2017年渭河流域极端气温变化及其对区域增暖的响应[J]. 地理科学,2020,40(3):466-477. [JI Lin, DUAN Keqin. Variations of extreme temperature and its response on regional warming in the Weihe River Basin during 1960—2017 [J]. Scientia Geographica Sinica, 2020, 40(3): 466-477] DOI: 10.13249 / j. cnki.sgs.2020.03.015
[20] TONG Siqin, ZHANG Jiquan, BAO Yuhai, et al. Analyzing vegetation dynamic trend on the Mongolian Plateau based on the Hurst exponent and influencing factors from 1982—2013 [J]. Journal of Geographical Sciences, 2018, 28(5):595-610. DOI: 10.1007/s11442-018-1493-x
[21] 丁之勇,鲁瑞洁,刘畅,等. 环青海湖地区气候变化特征及其季风环流因素[J]. 地球科学进展,2018,33(3):281-292. [DING Zhiyong, LU Ruijie, LIU Chang, et al. Temporal change characteristics of climatic and its relationships with atmospheric circulation patterns in Qinghai Lake Basin [J]. Advances in Earth Science, 2018, 33(3):281-292] DOI: 10.11867/j. issn.1001-8166.2018.03.0281
[22] JIANG Chong, MU Xingmin, WANG Fei, et al. Analysis of extreme temperature events in the Qinling Mountains and surrounding area during 1960—2012 [J]. Quaternary International, 2016, 392:155-167. DOI: 10.1016/j.quaint.2015.04.018
[23] ZHANG Panfeng, REN Guoyu, XU Yan, et al. Observed changes in extreme temperature over the global land based on a newly developed station daily dataset [J]. Journal of Climate, 2019, 32(24):8489-8509. DOI: 10.1175/JCLI-D-18-0733.1
[24] WU Xushu, WANG Zhaoli, ZHOU Xiaowen, et al. Trends in temperature extremes over nine integrated agricultural regions in China, 1961—2011 [J]. Theoretical and Applied Climatology, 2017, 129(3-4):1279-1294. DOI: 10.1007/s00704-016-1848-0
[25] 赵安周,刘宪峰,朱秀芳,等. 1965—2013年黄土高原地区极端气温趋势变化及空间差异[J]. 地理研究,2016,35(4):639-652. [ZHAO Anzhou, LIU Xianfeng, ZHU Xiufang, et al. Trend variations and spatial difference of extreme air temperature events in the Loess Plateau from 1965 to 2013 [J]. Geographical Research, 2016, 35(4): 639-652] DOI: 10.11821/dlyj201604004
[26] 丁之勇,董义阳,鲁瑞洁. 1960—2015年中国天山南、北坡与山区极端气温时空变化特征[J]. 地理科学,2018,38(8):1379-1390. [DING Zhiyong, DONG Yiyang, LU Ruijie, et al. Spatio-temporal variability of temperature extremes in Tianshan Mountains area, northwest China, during 1960—2015 [J]. Scientia Geographica Sinica, 2018, 38(8):1379-1390] DOI: 10.13249/j.cnki.sgs.2018.08.021
[27] 吴子璇,张强,宋长青,等. 珠三角城市化对气温时空差异性影响[J]. 地理学报,2019,74(11):2342-2357. [WU Zixuan, ZHANG Qiang, SONG Changqing, et al. Impacts of urbanization on spatio-temporal variations of temperature over the Pearl River Delta [J]. Acta Geographica Sinica, 2019, 74(11):2342-2357] DOI: 10.11821/dlxb201911011
[28] TIAN Jiyang, LIU Jia, WANG Jianhua, et al. Trend analysis of temperature and precipitation extremes in major grain producing area of China [J]. International Journal of Climatology, 2016, 37(2):672-687. DOI: 10.1002/joc.4732
[29] XU Kai, WU Chuanhao, HU B X. Projected changes of temperature extremes over nine major basins in China based on the CMIP5 multimodel ensembles [J]. Stochastic Environmental Research and Risk Assessment, 2019, 33(1):321-339. DOI: 10.1007/s00477-018-1569-2
[30] 周天军,邹立维,陈晓龙. 第六次国际耦合模式比较计划(CMIP6)评述[J]. 气候变化研究进展,2019,15(5):445-456. [ZHOU Tianjun, ZOU Liwei, CHEN Xiaolong. Commentary on the Coupled Model Intercomparison Project Phase 6(CMIP6)[J]. Climate Change Research, 2019,15(5):445-456] DOI: 10.12006/j.issn.1673-1719.2019.193

相似文献/References:

[1]刘吉峰,李世杰,丁裕国,等.近几十年我国极端气温变化特征分区方法探讨[J].山地学报,2006,(03):291.

备注/Memo

备注/Memo:
收稿日期(Received date):2021-04-21; 改回日期(Accepted date):2022-06-01
基金项目(Foundation item):广东省科学院发展专项资金项目(2020GDASYL-20200301003; 2020GDASYL-20200401001); 国家公园建设项目(2021GJGY029)。[GDAS' Project of Science and Technology Development(2020GDASYL-20200301003; 2020GDASYL-20200401001); National Park Construction Project(2021GJGY029)]
作者简介(Biography):徐飞(1989-),男,博士,助理研究员,主要研究方向:流域水循环模拟。[XU Fei(1989-), male, Ph.D., research assistant, research on water cycle simulation in river basin] E-mail: xufeigz@163.com
*通讯作者(Corresponding author):赵玲玲(1980-),女,博士,研究员,主要研究方向:流域水循环模拟。[ZHAO Lingling(1980-), female, Ph.D., professor, research on water cycle simulation in river basin] E-mail: linglingzhao@gdas.ac.cn
更新日期/Last Update: 2022-06-30