Variations of high temperature from 1961 to 2019 in Liaoning Province, China

doi:10.13287/j.1001-9332.202111.038

Abstract

Abstract: Better understanding of the changes in high-temperature would be helpful for improving the monitoring of hot extremes and mitigating their impacts towards a sustainable regional development. Based on the data of daily maximum temperature, relative humidity, and wind speed from 23 meteorological stations in Liaoning Province in summer (June to August) during 1961 to 2019, we analyzed the variations of daily maximum temperature (Tx), daily maximum apparent temperature (AT), and heat wave events (3 consecutive days ≥35 ℃). The effects of meteorological variables on daily maximum apparent temperature were examined by the grey relational analysis method. The results showed that the average Tx (AT) of all stations was 26.19 (27.35), 28.29 (31.13), and 28.14 (31.08) ℃, respectively, while the average trends in Tx (AT) was 0.17 (0.38), 0.20 (0.35), and 0.17 (0.28) ℃·(10 a)^-1, respectively, in June, July and August during 1961 to 2019. The average AT and its trends in each month were larger than the Tx. From June to August, there was significant negative correlation between Tx (AT) and its climate tendency rate, indicating that the range of warming in the area with low Tx and AT was larger than that in the area with high values. We should therefore pay more attention to the protection against high temperature in the low value area of Tx and AT in summer. From June to August, the average number of hot days with AT ≥ 35 ℃ was 0.85 d·a^-1, with an average increase rate of 0.20 d·(10 a)^-1. Hot days were signifi-cantly more in June and July than in August. The area with more hot days was mainly located in the west of Liaoning, and the area with less hot days was mainly located in the south and coastal areas. The number of heat wave events was 0.071 times per year, which was large in western Liaoning. There was no high temperature heat wave event in the southern and coastal areas of Liaoning. The correlation analysis showed that the AT in June was strongly associated with relative humidity, while AT in July and August had the closest relationship with Tx. Therefore, the importance of relative humidity on the monitoring and forecasting of high temperature and hot weather cannot be ignored.

Key words: maximum temperature, apparent temperature, high temperature and heat wave, relational analysis, Liaoning Province.

LI Zhuo-qun, LIU Xing-cai. Variations of high temperature from 1961 to 2019 in Liaoning Province, China[J]. Chinese Journal of Applied Ecology, 2021, 32(11): 4059-4067.

References 29

[1]	黄小军, 王博, 刘萌萌, 等. 中国城市高温特征及社会脆弱性评价. 地理研究, 2020, 39(7): 1534-1547 [Huang X-J, Wang B, Liu M-M, et al. Characteristics of urban extreme heat and assessment of social vulnerability in China. Geographical Research, 2020, 39(7): 1534-1547]
[2]	Grazzini F, Ferranti L, Lalaurette F, et al. 2003: The exceptional warm anomalies of summer 2003. ECMWF Newsletter, 2003, 99: 2-9
[3]	Liu XC, Tang QH, Zhang XJ, et al. Projected changes in extreme high temperature and heat stress in China. Journal of Meteorological Research, 2018, 32: 351-366
[4]	侯威, 陈峪, 李莹, 等. 2013年中国气候概况. 气象, 2014, 40(4): 482-493 [Hou W, Chen Y, Li Y, et al. Climatic characteristics over China in 2013. Metero-logical Monthly, 2014, 40(4): 482-493]
[5]	尹宜舟, 李多, 孙劭, 等. 2019年全球重大天气气候事件及其成因. 气象, 2020, 46(4): 538-546 [Yin Y-Z, Li D, Sun S, et al. Global major weather and climate events in 2019 and the possible causes. Meterological Monthly, 2020, 46(4): 538-546]
[6]	IPCC AR5. Intergovernmental Panel on Climate Change 2013 Fifth Assessment Report (AR5). Cambridge, UK: Cambridge University Press, 2013
[7]	IPCC SREX. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. Cambridge, UK: Cambridge University Press, 2012
[8]	杨军, 章毅之, 贺浩华, 等. 水稻高温热害的研究现状与进展. 应用生态学报, 2020, 31(8): 2817-2830 [Yang J, Zhang Y-Z, He H-H, et al. Current status and research advances of high-temperature hazards in rice. Chinese Journal of Applied Ecology, 2020, 31(8): 2817-2830]
[9]	徐金芳, 邓振镛, 陈敏. 中国高温热浪危害特征的研究综述. 干旱气象, 2009, 27(2): 163-167 [Xu J-F, Deng Z-Y, Chen M. A summary of studying on characteristics of high temperature and heat wave damage in China. Journal of Arid Meteorology, 2009, 27(2): 163-167]
[10]	盛戎蓉, 高传思, 李畅畅, 等. 全球气候变化对职业人群健康影响. 中国公共卫生, 2017, 33(8): 1259-1263 [Sheng R-R, Gao C-S, Li C-C, et al. Effect of global climate change on health of occupational populations: A review. Chinese Journal of Public Health, 2017, 33(8): 1259-1263]
[11]	姚镇海, 姚叶青, 王传辉, 等. 1987—2016年安徽省暑期体感温度时空变化特征. 干旱气象, 2019, 37(3): 454-459 [Yao Z-H, Yao Y-Q, Wang C-H, et al. Temporal and spatial characteristics of somatosensory temperature in summer holiday in Anhui Province during 1987-2016. Journal of Arid Meteorology, 2019, 37(3): 454-459]
[12]	Wichmann J. Heat effects of ambient apparent temperature on all-cause mortality in Cape Town, Durban and Johannesburg, South Africa: 2006-2010. Science of the Total Environment, 2017, 587-588: 266-272
[13]	World Meteorological Organization (WMO). Climate Change and Human Health: High Temperature and Health. Geneva, Switzerland: WMO, 2020
[14]	Dear DR, Brager GS. The adaptive model of thermal comfort and energy conservation in the built environment. International Journal of Biometeorology, 2001, 45: 100-108
[15]	Heijs W, Stringer P. Research on residential thermal comfort: Some contributions from environmental psycho-logy. Journal of Environmental Psychology, 1988, 8: 235-247
[16]	曹丹, 周立晨, 毛义伟, 等. 上海城市公共开放空间夏季小气候及舒适度. 应用生态学报, 2008, 19(8): 1797-1802 [Cao D, Zhou L-C, Mao Y-W, et al. Microclimate and comfortable degree of Shanghai urban open spaces in summer. Chinese Journal of Applied Ecology, 2008, 19(8): 1797-1802]
[17]	杜家铭, 沈平. 粤北地区暑期体感温度及其等级分布特征. 广东气象, 2020, 42(5): 35-38 [Du J-M, Shen P. On apparent temperature of summer breaks in Northern Guangdong and characteristics of its grade distribution. Guangdong Meteorology, 2020, 42(5): 35-38]
[18]	张嘉仪, 钱诚. 1960—2018年中国高温热浪的线性趋势分析方法与变化趋势. 气候与环境研究, 2020, 25(3): 225-239 [Zhang J-Y, Qian C. Linear trends in occurrence of high temperature and heat waves in China for the 1960-2018 period: Method and analysis results. Climatic and Environmental Research, 2020, 25(3): 225-239]
[19]	贾佳, 胡泽勇. 中国不同等级高温热浪的时空分布特征及趋势. 地球科学进展, 2017, 32(5): 546-559 [Jia J, Hu Z-Y. Spatial and temporal features and trend of different level heat waves over China. Advances in Earth Science, 2017, 32(5): 546-559]
[20]	Steadman RG. A universal scale of apparent temperature. Journal of Climate and Applied Meteorology, 1984, 23: 1674-1687
[21]	何永坤, 郭建平. 1961—2006年东北地区农业气候资源变化特征. 自然资源学报, 2011, 26(7): 1191-1208 [He Y-K, Guo J-P. Characteristics of agricultural climate resources in the three provinces of Northeast China from 1961 to 2006. Journal of Natural Resources, 2011, 26(7): 1191-1208]
[22]	Perkins SE, Alexander LV. On the measurement of heat waves. Journal of Climate, 2013, 26: 4500-4517
[23]	刘思峰, 党耀国, 方国耕. 灰色系统理论及其应用. 北京: 科学出版社, 2004 [Liu S-F, Dang Y-G, Fang G-G. Grey System Theory and Its Application. Beijing: Science Press, 2004]
[24]	张井勇, 吴凌云. 陆-气耦合增加中国的高温热浪. 科学通报, 2011, 56(23): 1905-1909 [Zhang J-Y, Wu L-Y. Land-atmosphere coupling amplifies hot extremes over China. Science Bulletin, 2011, 56(23): 1905-1909]
[25]	祁新华, 程煜, 李达谋, 等. 西方高温热浪研究述评. 生态学报, 2016, 36(9): 2773-2778 [Qi X-H, Cheng Y, Li D-M, et al. A review of high temperature heat wave research in the West. Acta Ecologica Sinica, 2016, 36(9): 2773-2778]
[26]	纪玲玲, 袭祝香, 陈卓, 等. 吉林省高温天气气候特征及其过程等级评估. 气象与环境学报, 2020, 36(3): 49-54 [Ji L-L, Xi Z-X, Chen Z, et al. Study on climatic characteristics and assessment methods of high temperature weatherin Jilin Province. Journal of Meteo-rology and Environment, 2020, 36(3): 49-54]
[27]	陈曦, 李宁, 黄承芳, 等. 综合湿度和温度影响的中国未来热浪预估. 地理科学进展, 2020, 39(1): 36-44 [Chen X, Li N, Huang C-F, et al. Projection of heatwaves by the combined impact of humidity and temperature in China. Progress in Geography, 2020, 39(1): 36-44]
[28]	Willett KM, Sherwood S. Exceedance of heat index thresholds for 15 regions under a warming climate using the wet-bulb globe temperature. International of Journal of Climatology, 2012, 32: 161-177
[29]	孔锋. 透视中国不同强度桑拿天日数的时空分异特征(1961—2017年). 灾害学, 2019, 34(3): 85-92 [Kong F. Spatial-temporal differentiation of sauna days with different intensities in China from 1961 to 2017. Journal of Catastrophology, 2019, 34(3): 85-92]