PROGRESS IN GEOGRAPHY ›› 2016, Vol. 35 ›› Issue (10): 1197-1205.doi: 10.18306/dlkxjz.2016.10.003
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Xuemei ZHENG1(), Yi WANG1, Xiaoying WU1, Xi QI1, Xinhua QI1,2,3,*(
)
Online:
2016-10-28
Published:
2016-10-26
Contact:
Xinhua QI
E-mail:zhengxuemei123456@163.com;fjqxh74@163.com
Supported by:
Xuemei ZHENG, Yi WANG, Xiaoying WU, Xi QI, Xinhua QI. Comparison of heat wave vulnerability between coastal and inland cities of Fujian Province in the past 20 years[J].PROGRESS IN GEOGRAPHY, 2016, 35(10): 1197-1205.
Tab.1
Index system for the assessment of vulnerability to heat waves and indicator weights
维度层 | 指标层 | 参数层 | 参数层各指标内涵 | 指标方向 |
---|---|---|---|---|
暴露性(0.32) | 高温(1.00) | 高温天数/天(0.33) | 日最高气温≥35 ℃的天数 | 正向 |
高温热浪频次/次(0.33) | 连续3 d以上的高温天气过程的次数 | 正向 | ||
高温强度/℃(0.34) | 该年日最高气温超过35 ℃部分的全年累计数 | 正向 | ||
敏感性(0.34) | 经济发展(0.20) | 经济增长速度/%(1.00) | 反映某一时期内经济增长程度的相对指标 | 正向 |
城镇化(0.20) | 建成区面积占土地面积的比重/%(1.00) | 反映城市的市中的城市化区域面积相对大小 | 正向 | |
城乡居民收入差距(0.30) | 城镇居民平均每人全年可支配收入与农村平均每人全年纯收入比值(1.00) | 城乡居民收入差距指数,反映区域内部的贫富差距 | 正向 | |
耗水量(0.30) | 生活用水量/万t(1.00) | 应对高温热浪的需水状况 | 正向 | |
适应性(0.34) | 资金(0.23) | 国内生产总值/万元(0.34) | 一定时期内,一个国家或地区的经济中所生产出的全部最终产品和劳务的价值,常被公认为衡量国家或地区经济状况的最佳指标 | 负向 |
地方财政收入/万元(0.32) | 地方财政年度收入,是地方政府履行其职能的物质保障 | 负向 | ||
固定资产投资/万元(0.34) | 通过固定资产投资,可以提高社会再生产规模,提高社会生产的技术水平,调整经济结构,增强国家或地区的经济实力。 | 负向 | ||
医疗卫生(0.20) | 卫生机构床位数/张(1.00) | 反映医疗卫生水平,体现高温热浪引起人员伤亡的应对能力 | 负向 | |
科技教育(0.20) | 科技教育占财政预算支出比(1.00) | 反映辖区对科技、教育的重视程度 | 负向 | |
基础设施(0.18) | 公路通车里程数/km(1.00) | 反映交通便捷程度及区域之间的联系密切程度 | 负向 | |
城市绿化水平(0.19) | 建成区绿化覆盖率/%(1.00) | 可以有效应对城市热岛效应,减缓高温热浪负面影响 | 负向 |
[1] | 陈洪滨, 范学花. 2007. 2006年极端天气和气候事件及其他相关事件的概要回顾[J]. 气候与环境研究, 12(1): 100-112. |
[Chen H B, Fan X H.2007. Some extreme events of weather, climate and related phenomena in 2006[J]. Climatic and Environmental Research, 12(1): 100-112.] | |
[2] | 何杰. 2012. 高温热浪诊断分析及应用[D]. 上海: 华东理工大学. |
[He J.2012. Diagnostic analysis and application of heat waves [D].Shanghai, China: East China of Technology.] | |
[3] | 李国栋, 王乃昂, 张俊华, 等. 2008. 兰州市城区夏季热场分布与热岛效应研究[J]. 地理科学, 28(5): 709-714. |
[Li G D, Wang N A, Zhang J H, et al.2008. Urban thermal field and heat island effect of Lanzhou City in summer[J]. Scientia Geographica Sinica, 28(5): 709-714.] | |
[4] | 刘珂, 许吟隆, 陶生才, 等. 2011. 多模式集合对中国气温的模拟效果及未来30年中国气温变化预估[J]. 高原气象, 30(2): 363-369. |
[Liu K, Xu Y L, Tao S C, et al.2011. Validation of multi-model ensemble to air temperature of China and projection of air temperature change in China for the next three decades[J]. Plateau Meteorology, 30(2): 363-369.] | |
[5] |
谭红建, 蔡榕硕. 2015. 2000年以来福州地区夏季极端高温的新特征及成因探讨[J]. 大气科学, 39(6): 1179-1190.
doi: 10.3878/j.issn.1006-9895.1503.14343 |
[Tan H J, Cai R S.2015. New characteristics of heat extremes in Fuzhou since 2000 and the possible causes[J]. Chinese Journal of Atmosphere Sciences, 39(6): 1179-1190.]
doi: 10.3878/j.issn.1006-9895.1503.14343 |
|
[6] | 谈建国. 2008. 气候变暖、城市热岛与高温热浪及其健康影响研究[D]. 南京: 南京信息工程大学. |
[Tan J G.2008. Global warming, urban heat island, heat wave and human health[D]. Nanjing, China: Nanjing University of Information Science and Technology.] | |
[7] |
谈建国, 郑有飞. 2013. 我国主要城市高温热浪时空分布特征[J]. 气象科技, 41(2): 347-351.
doi: 10.3969/j.issn.1671-6345.2013.02.026 |
[Tan J G, Zheng Y F.2013. Temporal and spatial distribution characteristics of heat waves in main capital cities of China[J]. Meteorological Science and Technology, 41(2): 347-351.]
doi: 10.3969/j.issn.1671-6345.2013.02.026 |
|
[8] | 唐恬, 金荣花, 彭相瑜, 等. 2013. 2013年夏季我国南方区域性高温天气的极端性分析[J]. 气象, 40(10): 1207-1215. |
[Tang T, Jin R H, Peng X Y, et al.2013. Analysis on extremely high temperature over southern China in summer 2013[J]. Meteorological Monthly, 40(10): 1207-1215.] | |
[9] |
谢盼, 王仰鳞, 彭建, 等. 2015. 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, 34(2): 165-174.
doi: 10.11820/dlkxjz.2015.02.005 |
[Xie P, Wang Y L, Peng J, et al.2015. Health related urban heat wave vulnerability assessment: Research progress and framework[J]. Progress in Geography, 34(2): 165-174.]
doi: 10.11820/dlkxjz.2015.02.005 |
|
[10] | 许遐祯, 郑有飞, 尹继福, 等. 2011. 南京市高温热浪特征及其对人体健康的影响[J]. 生态学杂志, 30(12): 2815-2820. |
[Xu X Z, Zheng Y F, Yin J F, et al.2011. Characteristics of high temperature and heat wave in Nanjing City and their impacts on human health[J]. Chinese Journal of Ecology, 30(12): 2815-2820.] | |
[11] | 杨红龙, 许吟隆, 陶生才, 等. 2010. 高温热浪脆弱性与适应性研究进展[J]. 科技导报, 28(19): 98-102. |
[Yang H L, Xu Y L, Tao S C, et al.2010. Vulnerability to heat waves and adaptation: A summary[J]. Science and Technological Review, 28(19): 98-102.] | |
[12] | 杨辉, 李崇银. 2005. 2003年夏季中国江南异常高温的分析研究[J]. 气候与环境研究, 10(1): 80-85. |
[Yang H, Li C Y.2005. Diagnostic study of serious high temperature over south China in 2003 summer[J]. Climatic and Environmental Research, 10(1): 80-85.] | |
[13] | 杨周, 林振山. 2010. 北半球过去2000年气温变化的多尺度分析[J]. 地理科学, 30(2): 295-299. |
[Yang Z, Lin Z S.2010. Multi-scape analysis of northern hemisphere temperature changes over past two millennia[J]. Scientia Geographica Sinica, 30(2): 295-299.] | |
[14] |
叶士琳, 祁新华, 程煜, 等. 2015. 城市居民对高温热浪的感知: 基于福州市的调查[J]. 生态学报, 35(20): 6814-6820.
doi: 10.5846/stxb201403240531 |
[Ye S L, Qi X H, Cheng Y, et al.2015. A study on the perception of heat waves among urban residents: Based on a survey in Fuzhou[J]. Acta Ecologica Sinica, 35(20): 6814-6820.]
doi: 10.5846/stxb201403240531 |
|
[15] | 张立新. 2006. 高温热浪的影响及其成因探讨[C]//陕西省气象学会. 陕西省气象学会2006年学术交流会论文集. 汉中: 汉中市气象局: 101-104. |
[Zhang L X.2006. Gaowen relang de yingxiang jiqi chengyin tantao[C]//Shaanxi Provincial Meteorological Society. Shaanxisheng qixiang xuehui 2006nian xueshu jiaoliu lunwenji. Hanzhong, China: Hanzhong qixiangju: 101-104.] | |
[16] | 张明顺, 王义城. 2015. 北京市高温热浪脆弱性评价[J]. 城市与环境研究, (1): 16-33. |
[Zhang M S, Wang Y C.2015. Research on evaluation system of heat wave vulnerability in Beijing City[J]. Urban and Environmental Study, (1): 16-33.] | |
[17] | 郑祚芳, 高华, 王在文, 等. 2012. 城市化对北京夏季极端高温影响的数值研究[J]. 生态环境学报, 21(10): 1689-1694. |
[Zheng Z F, Gao H, Wang Z W, et al.2012. Numerical simulation for the urbanization effects on a heat wave event around Beijing City[J]. Ecology and Environmental Sciences, 21(10): 1689-1694.] | |
[18] |
Abderrezak B.2004. The 2003 European heat wave[J]. Intensive Care Medicine, 30(1): 1-3.
doi: 10.1007/s00134-003-2062-y |
[19] | Birkmannn J.2006. Measuring vulnerability to natural hazards:Towards disaster resilient societies[J]. Tokyo, Japan: United Nations University Press. |
[20] |
Eakin H, Luers A L.2006. Assessing the vulnerability of social-environmental systems[J]. Annual Review of Environment and Resources, 31: 365-394.
doi: 10.1146/annurev.energy.30.050504.144352 |
[21] |
El-Zein A, Tonmoy F N.2015. Assessment of vulnerability to climate change using a multi-criteria outranking approach with application to heat stress in Sydney[J]. Ecological Indicators, 48: 207-217.
doi: 10.1016/j.ecolind.2014.08.012 |
[22] |
Hayhoe K, Sheridan S, Kalkstein L, et al.2010. Climate change, heat waves, and mortality projections for Chicago[J]. Journal of Great Lakes Research, 36(S2): 65-73.
doi: 10.1016/j.jglr.2009.12.009 |
[23] |
Hémon D, Jougla E.2004. The heat wave in France in August 2003[J]. Revue Dépidémiologie et de Santé Publique, 52(1): 3-5.
doi: 10.1016/S0398-7620(04)99017-7 pmid: 15107688 |
[24] | IPCC. 2001. Climate change 2001: Impacts, adaptation and vulnerability[M]. Cambridge, UK: Cambridge University Press. |
[25] | Janssena M A, Schoon M L, Ke W M, et al.2006. Scholarly networks on resilience, vulnerability and adaptation within the human dimensions of global environmental change[J]. Global Environmental Change, 16(3): 240-252. |
[26] |
Keramitsoglou I, Kiranoudis C T, Maiheu B, et al.2013. Heat wave hazard classification and risk assessment using artificial intelligence fuzzy logic[J]. Environmental Monitoring and Assessment, 185(10): 8239-8258.
doi: 10.1007/s10661-013-3170-y |
[27] | GLP Science Plan and Implementation Strategy (GLP). 2005. IGBP Report No. 53/IHDP Report No.19 [R]. Stockholm, Sweden:GLP. |
[28] |
Polsky C, Neff R, Yarnal B.2007. Building comparable global change vulnerability assessments: The vulnerability scoping diagram[J]. Global Environmental Change, 17(3-4): 472-485.
doi: 10.1016/j.gloenvcha.2007.01.005 |
[29] | Schröer D, Polsky C, Patt A.2003. Assessing vulnerabilities to the effects of global change: An eight step approach[J]. Mitigation & Adaptation Strategies for Global Change, 10(4): 573-595. |
[30] | Timmerman P.1981. Vulnerability, resilience and the collapse of society: A review of models and possible climatic applications[M]. Toronto, Canada: Institute for Environmental Studies, University of Toronto. |
[31] | Wolf T, McGregor G.2013. The development of a heat wave vulnerability index for London, United Kingdom[J]. Weather and Climate Extremes, 1: 59-68. |
[32] |
Zhu Q, Liu T, Lin H, et al.2014. The spatial distribution of health vulnerability to heat waves in Guangdong Province, China[J]. Global Health Action, 7: doi: 10.3402/gha.v7.25051.
doi: 10.3402/gha.v7.25051 pmid: 4212080 |
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