南京城市化对极端气温的影响

doi:10.11924/j.issn.1000-6850.casb17030046

中国农学通报 ›› 2017, Vol. 33 ›› Issue (21): 118-125.doi: 10.11924/j.issn.1000-6850.casb17030046

所属专题：农业气象

• 资源环境生态土壤气象 • 上一篇下一篇

南京城市化对极端气温的影响

黄蓉^1,2,龚年祖³,刘华玮⁴,胡姗姗³,段春锋²,李璇⁵

(¹南京大学,南京 210023；²安徽省大气科学与卫星遥感重点实验室/安徽省气象科学研究所,合肥 230031；³滁州市气象局,安徽滁州 239000；⁴泰州市气象局,江苏泰州 225300；⁵山东省枣庄市峄城区气象局,山东枣庄 277300）

收稿日期:2017-03-07 修回日期:2017-06-07 接受日期:2017-06-12 出版日期:2017-07-27 发布日期:2017-07-27
通讯作者: 黄蓉
基金资助:
安徽省气象科技发展基金“滁州市短期温度降水多模式集成预报”(KM201404)。

The Impact of Urbanization on Extreme Air Temperature in Nanjing

Huang Rong^1,2, Gong Nianzu³, Liu Huawei⁴, Hu Shanshan³, Duan Chunfeng², Li Xuan⁵

(¹Nanjing University, Nanjing 210023; ²Key Laboratory of Atmospheric Science and Satellite Remote Sensing/Anhui Academy of Meteorological Sciences, Hefei 230031; ³Chuzhou Meteorological Bureau, Chuzhou Anhui 239000; ⁴Taizhou Meteorological Bureau, Taizhou Jiangsu 225300; ⁵Yicheng District Meteorological Bureau of Zaozhuang, Zaozhuang Shandong 277300)

Received:2017-03-07 Revised:2017-06-07 Accepted:2017-06-12 Online:2017-07-27 Published:2017-07-27

摘要/Abstract

摘要： 为了科学认识城市化对极端气温的影响，利用南京地区3个城区气象站和3个周边乡村站1961—2005年日最高、最低气温资料，对比分析城市站和乡村站17个极端气温指数的平均值和变化趋势，并定量估算极端气温变化趋势的城市化影响及贡献。结果表明：近45年南京地区暖事件均为增加趋势，而冷事件多为减少趋势，最高气温、最低气温的平均值和极值均为上升趋势。城市站与乡村站相比，暖事件更多，冷事件更少，最高气温、最低气温的平均值和极值更大。城市化对极端气温变化趋势的影响有两大特点：城市化加速了极端气温指数的变化速率，使得暖事件、平均值、极值的上升趋势和冷事件的下降趋势变得更大；基于最低气温的极端气温指数变化趋势比基于最高气温的极端气温指数受城市化影响更显著。城市化贡献表现为：暖事件大于冷事件，最低气温极值和平均值大于相应的最高气温极值和平均值。

关键词: 桃, 桃, 近核处红色素, 皮下红色素, 中果皮红色素, 遗传规律

Abstract: The paper aims to scientifically understand the impact of urbanization on the extreme air temperatures. Based on the observed daily maximum air temperatures and minimum air temperatures at three urban stations and three rural stations in Nanjing during the period of 1961 to 2005, the average values and change trends of 17 extreme temperature indices for urban and rural stations were analyzed. The impact and contribution of urbanization on the variation trends of extreme temperature indices were also estimated. Results showed that warm events increased, while cold events decreased in Nanjing during 1961 to 2005. However, compared to rural stations, there were more warm events and less cold events for urban stations. Extreme value indices and mean value indices both exhibited increasing trend, and were larger at urban stations than that at rural stations. Impact of urbanization on the variation trends of extreme temperatures showed two characteristics. On one hand, urbanization accelerated the change rates of extreme temperature indices. The increasing rates of warm events, extreme value indices and mean value indices and the decreasing rates of cold events were both improved due to the urbanization. On the other hand, the trends of indices based on daily minimum temperature were more significant than that based on daily maximum air temperature. The contribution of urbanization on change trends was larger for warm events than that for cold events, and larger for extreme value indices and mean value indices of minimum air temperature than that for extreme value indices and mean value indices of maximum air temperature.

中图分类号:

黄蓉,龚年祖,刘华玮,胡姗姗,段春锋,李璇. 南京城市化对极端气温的影响[J]. 中国农学通报, 2017, 33(21): 118-125.

Huang Rong,Gong Nianzu,Liu Huawei,Hu Shanshan,Duan Chunfeng and Li Xuan. The Impact of Urbanization on Extreme Air Temperature in Nanjing[J]. Chinese Agricultural Science Bulletin, 2017, 33(21): 118-125.

参考文献

[1] Solomon S, Qin D, Manning M, et al. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, 2007[R].Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press.
[2] Parker D E. Large-scale warming is not urban[J].Nature,2004,432:290.
[3] Huang Q, Lu Y. Urban heat island research from 1991 to 2015: a bibliometric analysis[J].Theoretical and Applied Climatology,2017:1-13.
[4] Wang J, Yan Z W. Urbanization-related warming in local temperature records: a review[J].Atmospheric and Oceanic Science Letters,2016,9(2):129-138.
[5] Lin S, Feng J, Wang J, et al. Modeling the contribution of long-term urbanization to temperature increase in three extensive urban agglomerations in China[J].Journal of Geophysical Research Atmospheres,2016,121(4):1683-1697.
[6] 张爱英,任国玉,周江兴,等.中国地面气温变化趋势中的城市化影响偏差[J].气象学报,2010,68(6):957-966.
[7] Zhou L M, Dickinson R E, Tian Y H, et al. Evidence for a significant urbanization effect on climate in China[J].Proc. Natl. Acad. Sci. U.S.A,2004,101(26):9540-9544.
[8] Zhang J, Dong W, Wu L, et al. Impact of land use changes on surface warming in China[J].Advances in Atmospheric Science,2005,22(3):343-348.
[9] 唐国利,任国玉,周江兴.西南地区城市热岛强度变化对地面气温序列影响[J].应用气象学报,2008,19(6):722-730.
[10] 康文星,李进,吴耀兴,等.长沙城市热岛的成因分析[J].中国农学通报,2012,28(11):295-300.
[11] 杜莉,王志伟,李燕,等.近50年山西极端冷热事件变化特征[J].中国农学通报,2011,27(32):310-314.
[12] Marotzke J, Jakob C, Bony S, et al. Climate research must sharpen its view[J].Nature Climate Change,2017,7:89-91.
[13] 郑祚芳.北京极端气温变化特征及其对城市化的响应[J].地理科学,2011,31(4):459-463.
[14] 赵娜,刘树华,虞海燕.近48年城市化发展对北京区域气候的影响分析[J].大气科学,2011,5(2):373-385.
[15] 初子莹,任国玉.北京地区城市热岛强度变化对区域温度序列的影响[J].气象学报,2005,63(4):534-540.
[16] 崔林丽,史军,周伟东.上海极端气温变化特征及其对城市化的响应[J].地理科学,2009,29(1):93-97.
[17] 吴燕锋,巴特尔?巴克,阿斯姑力?托合提,等.1958—2012年郑州市极端气温和极端气温事件年际变化特征[J].中国农学通报,2014(23):259-265.
[18] 高红燕,蔡新玲,贺皓,等.西安城市化对气温变化趋势的影响[J].地理学报,2009,64(9):1093-1102.
[19] 陈正洪,王海军,任国玉.武汉市城市热岛强度非对称性变化[J].气候变化研究进展,2007,3(5):282-286.
[20] 周雅清,任国玉.城市化对华北地区最高、最低气温和日较差变化趋势的影响[J].高原气象,2009,28(5):1158-1168.
[21] 陈正洪,王海军,任国玉,等.湖北省城市热岛强度变化对区域气温序列的影响[J].气候与环境研究,2005,10(4):771-779.
[22] 季崇萍,刘伟东,轩春怡.北京城市化进程对城市热岛的影响研究[J].地球物理学报,2006,49(1):69-77.
[23] 朱家其,汤绪,江灏.上海市城区气温变化及城市热岛[J].高原气象,2006,25(6):1154-1160.
[24] 张雷,任国玉,刘江,等.城市化对北京气象站极端气温指数趋势变化的影响[J].地球物理学报,2011,54(5):1150-1159.
[25] 王君,严中伟,李珍,等.近30年城市化对北京极端温度的影响[J].科学通报,2013,58(33):3464-3470.
[26] 周雅清,任国玉.城市化对华北地区极端气温事件频率的影响[J].高原气象,2014 33(6):1589-1598.
[27] Zhou Y, Ren G Y. Change in extreme temperature event frequency over mainland China, 1961-2008[J].Climate Research,2011,50:125-139.
[28] Ren G, Zhou Y. Urbanization effect on trends of extreme temperature indices of national stations over Mainland China, 1961-2008[J].Journal of Climate,2014,27(6):2340-2360.
[29] 吴蓉,孙怡,杨元建,等.城市化对安徽省极端气温事件的影响[J].气候变化研究进展,2016,12(6):527-537.
[30] Yan Z, Xin F Q, Li H G, et al. The urban heat island in Nanjing[J].Quaternary International,2009,208:38-43.
[31] 刘霞,景元书,王春林,等.城市化进程对南京市气温变化影响的主成分分析[J].热带气象学报,2010,26(4):509-512.
[32] Xu D, Chen R. Comparison of urban heat island and urban reflection in Nanjing City of China[J].Sustainable Cities and Society,2017,31:26-36.
[33] Tu L, Qin Z, Li W, et al. Surface urban heat island effect and its relationship with urban expansion in Nanjing, China[J].Journal of Applied Remote Sensing,2016,10(2):026037-026037.
[34] 唐国利,丁一汇.近44年南京温度变化的特征及其可能原因的分析[J].大气科学,2006,30(1):56-68.
[35] Alexander L V, Zhang X, Peterson T C, et al. Global observed changes in daily climate extremes of temperature and precipitation[J].Journal of Geophysical Research: Atmospheres,2006,111(D5):1042-1063.
[36] 魏凤英.现代气候统计诊断预测技术[D].北京:气象出版社,1999:296.
[37] Kendall M G, Gibbons J D. Rank Correlation Methods (5th Ed.)[D].London, UK: Edward Arnold,1981.
[38] Libiseller C. A program for the computation of multivariate and partial Mann-Kendall test[D].Sweden: University of Linkoping,2002.
[39] 周雅清,任国玉.中国大陆1956—2008年极端气温事件变化特征分析[J].气候与环境研究,2010,15(4):405-417.

南京城市化对极端气温的影响

The Impact of Urbanization on Extreme Air Temperature in Nanjing

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