PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (2): 231-242.doi: 10.18306/dlkxjz.2020.02.005
• Articles • Previous Articles Next Articles
XIE Cheng1, HUANG Bo2,3,4,*(), LIU Xiaoqian1, ZHOU Tao1, WANG Yu1
Received:
2019-02-18
Revised:
2019-05-14
Online:
2020-02-28
Published:
2020-04-28
Contact:
HUANG Bo
E-mail:bohuang@cuhk.edu.hk
Supported by:
XIE Cheng, HUANG Bo, LIU Xiaoqian, ZHOU Tao, WANG Yu. Population exposure to heatwaves in Shenzhen based on mobile phone location data[J].PROGRESS IN GEOGRAPHY, 2020, 39(2): 231-242.
Tab.1
High temperature and typhoon warning information for the third quarter of 2018 in Shenzhen"
编号 | 发布时间 | 取消时间 | 预警类型 | 发布区域是否覆盖全境陆地 |
---|---|---|---|---|
1 | 2018-07-11T05:20 | 2018-07-12T18:00 | 高温 | 是 |
2 | 2018-07-16T17:00 | 2018-07-18T06:10 | 台风 | 否 |
3 | 2018-07-17T12:25 | 2018-07-17T20:00 | 高温 | 是 |
4 | 2018-07-21T07:45 | 2018-07-22T15:55 | 高温 | 是 |
5 | 2018-07-22T17:00 | 2018-07-24T11:00 | 台风 | 是 |
6 | 2018-07-28T11:45 | 2018-08-03T17:45 | 高温 | 是 |
7 | 2018-08-06T09:05 | 2018-08-09T19:30 | 高温 | 是 |
8 | 2018-08-09T17:00 | 2018-08-15T17:00 | 台风 | 是 |
9 | 2018-08-25T09:00 | 2018-08-26T15:30 | 高温 | 是 |
10 | 2018-09-11T11:00 | 2018-09-13T06:30 | 台风 | 否 |
11 | 2018-09-14T12:30 | 2018-09-17T14:10 | 台风 | 是 |
12 | 2018-09-14T09:10 | 2018-09-15T20:00 | 高温 | 是 |
Tab.3
Results of correlation between population and urban points of interest (POIs) and collinearity test between variables"
解释变量 | 相关性 | 多重共线性 | |||
---|---|---|---|---|---|
相关系数 | 相关性强弱 | 膨胀系数(VIF) | 共线性强弱 | ||
交通设施 | 0.710 | 强 | 8.49 | 较强 | |
购物场所 | 0.780 | 强 | 6.66 | 无 | |
科教文化 | 0.702 | 强 | 7.35 | 无 | |
餐饮 | 0.810 | 极强 | 19.87 | 较强 | |
商务住宅 | 0.781 | 强 | 5.70 | 无 | |
医疗保健 | 0.772 | 强 | 13.22 | 较强 | |
生活服务 | 0.801 | 极强 | 32.65 | 较强 | |
风景名胜 | 0.268 | 弱 | 1.32 | 无 | |
酒店住宿 | 0.578 | 较强 | 2.24 | 无 | |
金融服务 | 0.585 | 较强 | 3.49 | 无 | |
公司企业 | 0.746 | 强 | 3.52 | 无 |
Tab.4
Percentage of coverage of heatwaves (%)"
日期 | 12:00 | 13:00 | 14:00 | 15:00 | 16:00 | 17:00 | 18:00 |
---|---|---|---|---|---|---|---|
2018-07-26 | 0 | 0 | 2.94 | 0 | 0 | 0 | 0 |
2018-07-27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2018-07-28 | 0 | 0 | 1.00 | 10.88 | 4.10 | 14.70 | 0.45 |
2018-07-29 | 0 | 0 | 52.62 | 86.52 | 86.52 | 74.14 | 1.00 |
2018-07-30 | 83.42 | 100 | 99.76 | 100 | 91.90 | 91.95 | 53.70 |
2018-07-31 | 0 | 0 | 2.72 | 0 | 0 | 0 | 0 |
2018-08-01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tab.5
Percentage of population exposure from 12:00 to 18:00 during the period of heatwaves (%)"
日期 | 12:00 | 13:00 | 14:00 | 15:00 | 16:00 | 17:00 | 18:00 |
---|---|---|---|---|---|---|---|
2018-07-26 | 0 | 0 | 1.47 | 0 | 0 | 0 | 0 |
2018-07-27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2018-07-28 | 0 | 0 | 1.54 | 15.00 | 5.61 | 20.31 | 1.47 |
2018-07-29 | 0 | 0 | 45.12 | 93.26 | 93.17 | 70.69 | 1.16 |
2018-07-30 | 77.43 | 100.00 | 99.80 | 100.00 | 97.72 | 97.55 | 64.33 |
2018-07-31 | 0 | 0 | 2.43 | 0 | 0 | 0 | 0 |
2018-08-01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[1] | IPCC. Climate change 2014: Synbook report. Contribution of working groups I, II and III to the fifth asessment report of the Intergovernmental Panel on Climate Change[M]. Geneva, Switzerland, 2014. |
[2] | Meehl G A, Tebaldi C . More intense, more frequent, and longer lasting heat waves in the 21st Century[J]. Science, 2004,35:994-997. |
[3] | Lin L J, Ge E, Liu X P , et al. Urbanization effects on heat waves in Fujian Province, Southeast China[J]. Atmo- spheric Research, 2018,210:123-132. |
[4] | 金星星, 祁新华, 陆玉麒 , 等. 福建省高温热浪风险评估与空间分异研究[J]. 地球信息科学学报, 2018,20(12):1820-1829. |
[ Jin Xingxing, Qi Xinhua, Lu Yuqi , et al. Evaluation and spatial differentiation of heat waves risk of Fujian Province. Journal of Geo-information Science, 2018,20(12):1820-1829. ] | |
[5] | 聂羽, 韩振宇, 韩荣青 , 等. 中国夏季热浪持续天数的年际变化及环流异常分析[J]. 气象, 2018,44(2):294-303. |
[ Nie Yu, Han Zhenyu, Han Rongqing , et al. Interannual variation of heat wave frequency persistence over China and the associated atmospheric circulation anomaly. Meteorological Monthly, 2018,44(2):294-303. ] | |
[6] | Stillman J H . Heat waves, the new normal: Summertime temperature extremes will impact animals, ecosystems, and human communities[J]. Physiology, 2019,34(2):86-100. |
[7] | 谢盼, 王仰麟, 彭建 , 等. 基于居民健康的城市高温热浪灾害脆弱性评价: 研究进展与框架[J]. 地理科学进展, 2015,34(2):165-174. |
[ Xie Pan, Wang Yanglin, Peng Jian , et al. Health related urban heat wave vulnerability assessment: Research progress and framework. Progress in Geography, 2015,34(2):165-174. ] | |
[8] | 周洋, 祝善友, 华俊玮 , 等. 南京市高温热浪时空分布研究[J]. 地球信息科学学报, 2018,20(11):1613-1621. |
[ Zhou Yang, Zhu Shanyou, Hua Junwei , et al. Spatio-temporal distribution of high temperature heat wave in Nanjing. Journal of Geo-information Science, 2018,20(11):1613-1621. ] | |
[9] | Founda D, Santamouris M . Synergies between urban heat island and heat waves in Athens (Greece), during an extremely hot summer (2012)[J]. Scientific Reports, 2017,27(1):10973. doi: 10.1038/s41598-017-11407-6. |
[10] | Zhao L, Oppenheimer M, Zhu Q , et al. Interactions between urban heat islands and heat waves[J]. Environm- ental Research Letters, 2018,13(3):034003. doi: 10.1088/1748-9326/aa9f73. |
[11] | 李双双, 延军平, 杨赛霓 , 等. 1960—2016 年秦岭—淮河地区热浪时空变化特征及其影响因素[J]. 地理科学进展, 2018,37(4):504-514. |
[ Li Shuangshuang, Yan Junping, Yang Saini , et al. Spatiotemporal variability of heat waves and influencing factors in the Qinling-Huaihe region, 1960-2016. Progress in Geography, 2018,37(4):504-514. ] | |
[12] | Savic S, Markovic V, Seceov I , et al. Heat wave risk assessment and mapping in urban areas: Case study for a midsized Central European city, Novi Sad (Serbia)[J]. Natural Hazards, 2018,91(3):891-911. |
[13] | Lemonsu A, Viguié V, Daniel M , et al. Vulnerability to heat waves: Impact of urban expansion scenarios on u- rban heat island and heat stress in Paris (France)[J]. Urban Climate, 2015,14(4):586-605. |
[14] | 谢盼, 王仰麟, 刘焱序 , 等. 基于社会脆弱性的中国高温灾害人群健康风险评价[J]. 地理学报, 2015,70(7):1041-1051. |
[ Xie Pan, Wang Yanglin, Liu Yanxu , et al. Incorporating social vulnerability to assess population health risk due to heat stress in China. Acta Geographica Sinica, 2015,70(7):1041-1051. ] | |
[15] | 税伟, 陈志淳, 邓捷铭 , 等. 耦合适应力的福州市高温脆弱性评估[J]. 地理学报, 2017,72(5):830-849. |
[ Shui Wei, Chen Zhichun, Deng Jieming , et al. Evaluation of urban high temperature vulnerability of coupling adaptability in Fuzhou, China. Acta Geographica Sinica, 2017,72(5):830-849. ] | |
[16] | Jones B, O'Neill B C, McDaniel L, et al. Future population exposure to US heat extremes[J]. Nature Climate Change, 2015,5(7):652-655. |
[17] | 黄大鹏, 张蕾, 高歌 . 未来情景下中国高温的人口暴露度变化及影响因素研究[J]. 地理学报, 2016,71(7):1189-1200. |
[ Huang Dapeng, Zhang Lei, Gao Ge . Changes in population exposure to high temperature under a future scenario in China and its influencing factors. Acta Geographica Sinica, 2016,71(7):1189-1200. ] | |
[18] | 张蕾, 黄大鹏, 杨冰韵 . RCP4.5情景下中国人口对高温暴露度预估研究[J]. 地理研究, 2016,35(12):2238-2248. |
[ Zhang Lei, Huang Dapeng, Yang Bingyun . Future population exposure to high temperature in China under RCP4.5 scenario. Acta Geographica Sinica, 2016,35(12):2238-2248. ] | |
[19] | 金星星, 祁新华, 程煜 , 等. 流动人口对高温热浪影响的感知与适应: 以福州市为例[J]. 福建师范大学学报(自然科学版), 2016,32(4):111-117. |
[ Jin Xingxing, Qi Xinhua, Chen Yu , et al. The perception and adaptation of floating population to heat waves: A case study in Fuzhou. Journal of Fujian Normal University (Natural Science Edition), 2016,32(4):111-117. ] | |
[20] | 彭朝琼, 余淑苑, 廖玉学 , 等. 深圳市2014年居民热浪期间适应性行为调查[J]. 中国公共卫生, 2017,33(5):802-805. |
[ Peng Chaoqiong, Yu Shuyuan, Liao Yuxue , et al. Adaptive behaviors during heat waves among residents of Shenzhen City, 2014. Chinese Journal of Public Health, 2017,33(5):802-805.] | |
[21] | Ma W J, Zeng W L, Zhou M G , et al. The short-term effect of heat waves on mortality and its modifiers in China: An analysis from 66 communities[J]. Environment International, 2015,75:103-109. |
[22] | Arbuthnott K G, Hajat S . The health effects of hotter summers and heat waves in the population of the Unit- ed Kingdom: A review of the evidence[J]. Environmental Health, 2017,16(S1):119. doi: 10.1186/s12940-017-0322-5. |
[23] | IPCC. Climate change 2014: Impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of working group II to the fifth assessment report of the Intergovernmental Panel on Climate Change [M]. Cambridge,UK and New York, USA: Cambridge University Press, 2014. |
[24] | 陈倩, 丁明军, 杨续超 , 等. 长江三角洲地区高温热浪人群健康风险评价[J]. 地球信息科学学报, 2017,19(11):1475-1484. |
[ Chen Qian, Ding Mingjun, Yang Xuchao , et al. Spatially explicit assessment of heat health risks using multi-source data: A case study of the Yangtze River Delta Region, China. Journal of Geo-information Science, 2017,19(11):1475-1484. ] | |
[25] | 同丽嘎, 李雪铭, 斯琴 , 等. 高温热浪暴露风险评价: 以内蒙古包头市为例[J]. 干旱区地理, 2017,40(2):284-292. |
[ Tong Liga, Li Xueming, Si Qin , et al. Risk assessment of population exposure to heat wave: A case of Baotou City, Inner Mongolia, China. Arid Land Geography, 2017,40(2):284-292. ] | |
[26] | 陈丽娜, 吴升, 陈洁 , 等. 基于手机定位数据的城市人口分布近实时预测[J]. 地球信息科学学报, 2018,20(4):523-531. |
[ Chen Lina, Wu Sheng, Chen Jie , et al. The near-real-time prediction of urban population distributions based on mobile phone location data. Journal of Geo-information Science, 2018,20(4):523-531. ] | |
[27] | 田俊荣, 刘泰山, 白之羽, 等. 鹏城展翅再高飞(壮阔东方潮, 奋进新时代: 庆祝改革开放40年) [N/OL]. 人民日报, 2018- 05- 21(1). . |
[ Tian Junrong, Liu Taishan, Bai Zhiyu , et al. Pengcheng spread wings and flew high again (Expanding the oriental tide, striving for the new era: Celebrating 40 years of reform and opening-up). People's Daily, 2018- 05- 21(1). .] | |
[28] | 俞文政, 刘海涛 . 近35年深圳市气候变化与城市化发展的关联性[J]. 华南师范大学学报(自然科学版), 2018,50(1):85-91. |
[ Yu Wenzheng, Liu Haitao . Correlation between urbanization and climate change of Shenzhen in nearly 35 years. Journal of South China Normal University (Natural Science Edition), 2018,50(1):85-91. ] | |
[29] | 百度地图, 中国城市规划设计研究院. 2018年Q3中国城市活力研究报告 [R/OL]. 百度地图慧眼. . 2018-11-08. |
[ Baidu Map, China Academy of Urban Planning & Design. China urban vitality research report, 2018Q3. Baidu Map Huiyan. . 2018-11-08.] | |
[30] | 百度地图, 中国城市规划设计研究院. 2018年第四季度&年度中国城市活力研究报告 [R/OL]. 百度地图慧眼. . 2019-01-25. |
[ Baidu Map, China Academy of Urban Planning & Design. China urban vitality research report, 2018. Baidu Map Huiyan. . 2019-01-25.] | |
[31] | 林珲, 张鸿生, 林殷怡 , 等. 基于城市不透水面-人口关联的粤港澳大湾区人口密度时空分异规律与特征[J]. 地理科学进展, 2018,37(12):1644-1652. |
[ Lin Hui, Zhang Hongsheng, Lin Yinyi , et al. Spatio-temporal changes of gridded urban population in the Guangdong-Hong Kong-Macao Greater Bay Area based on impervious surface-population correlation. Progress in Geography, 2018,37(12):1644-1652. ] | |
[32] | 中国气象局. 高温科普五: 什么是高温热浪 [R]. 北京: 中国气象报社, 2011. |
[ China Meteorological Administration. High temperature science five: What is high temperature heat wave. Beijing, China: China Meteorological News, 2011. ] | |
[33] | Cai J X, Huang B, Song Y M . Using multi-source geospatial big data to identify the structure of polycentric cities[J]. Remote Sensing of Environment, 2017,202:210-221. |
[34] | Chen B, Song Y M, Jiang T T , et al. Real-time estimation of population exposure to PM2.5 using mobile and station-based big data[J]. International Journal of Enviromental Research and Public Health, 2018,15(4):573. doi: 10.3390/ijerph15040573. |
[35] | 杨喜平, 方志祥, 赵志远 , 等. 城市人群聚集消散时空模式探索分析: 以深圳市为例[J]. 地球信息科学学报, 2016,18(4):486-492. |
[ Yang Xiping, Fang Zhixiang, Zhao Zhiyuan , et al. Exploring urban human spatio-temporal convergence-dispersion patterns: A case study of Shenzhen City. Journal of Geo-information Science, 2016,18(4):486-492. ] | |
[36] | 张子民, 周英, 李琦 , 等. 城市局域动态人口估算方法与模拟应用[J]. 地球信息科学学报, 2010,12(4):503-509. |
[ Zhang Zimin, Zhou Ying, Li Qi , et al. An estimation method of dynamic population within an urban local area. Journal of Geo-information Science, 2010,12(4):503-509. ] | |
[37] | 吴健生, 李博, 黄秀兰 . 小城市居民出行行为时空动态及驱动机制研究[J]. 地球信息科学学报, 2017,19(2):176-184. |
[ Wu Jiansheng, Li Bo, Huang Xiulan . Spatio-temporal dynamics and driving mechanisms of resident trip in small cities. Journal of Geo-information Science, 2017,19(2):176-184. ] |
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