高温热浪风险评估研究综述
Risk Assessment of Heat Waves: A Review
查看参考文献64篇
文摘
|
在全球气候变化大背景下,极端高温事件发生频率及强度明显增多.据相关气象数据统计,若任由灾害肆虐,越来越多的人将死于全球热效应、疟疾、登革热和其他热相关疾病.本文根据近年来国内外学者研究进展,梳理了高温热浪风险评估的基本步骤,讨论了高温热浪风险评估的风险性框架,提出未来可利用遥感技术构建高温热浪风险的空间评估体系,将孕灾环境的暴露度、危险性、系统脆弱性及适应性相结合,综合构建风险评估体系.针对评估因子的选择进行论述,探讨了图层叠置法、主观赋权法、客观赋权法及组合赋权法等多种确定各指标权重的方法,分析比较了不同方法的利弊,将H-AHP与图层叠置结合的方法与简单的加减、乘除法进行对比,论述其在综合评价模型构建中的优势,并针对高温热浪风险等级的划分方法进行了对比,论述了不同方法适用的不同情况及其优势,为未来建立合理高温热浪灾害风险评估体系提供了方法参考,为进一步了解高温热浪危害,建立高温热浪监测、评估、报告制度,进一步完善建立高温热浪灾害预警体系提供有利依据. |
其他语种文摘
|
Affected by global warming, extreme heat has become a serious climate disaster in the recent years. Human health, ecological environment, and socioeconomic development have all been affected by heat waves to varying degrees. This study describes the selection of risk factors for heat wave risk assessment and the method of model construction in the recent years. According to the existing literature, we sorted out the basic steps of risk identification and assessment of heat waves. Then we discussed the framework of heat wave risk assessment. The spatial assessment system, which can be used to construct heat wave risk in the future, was proposed. This space system was based on remote sensing technology. The exposure of hazard-bearing body,the hazard of disaster, the vulnerability of pregnant environment and the comprehensive prevention capability of the region should be combined to build a comprehensive evaluation system. Moreover, the selection of evaluation factors was discussed. Based on the literature, we compared various methods for determining the weight of each indicator, such as the graph stacking method, subjective weighting methods, objective weighting methods, and subjective-objective combined weighting methods. We discussed the merits and demerits of each approach. Through comparing the methods, stacking method combined with H-AHP, stood out with its simple addition and subtraction or the multiplication and division, and can be used in the construction of comprehensive evaluation models. And the TOPSIS method, which determines the relative merits of the object based on the distance between the evaluation object and the ideal target,will be the optimal choice for multi-city heat wave risk rating in the future.We provided a reference for constructing a reasonable heat wave disaster risk assessment system in the future. This paper was intended to serve as a basis for further understanding the heat wave hazard and establishing the monitoring, evaluation, and reporting system, as well as for further fostering the establishment of a heat wave disaster warning system in the future. |
来源
|
地球信息科学学报
,2019,21(7):1029-1039 【核心库】
|
DOI
|
10.12082/dqxxkx.2019.180544
|
关键词
|
高温热浪
;
风险评估
;
脆弱性
;
指标权重
;
模型构建
;
研究综述
|
地址
|
1.
中国科学院地理科学与资源研究所, 资源与环境信息系统国家重点实验室, 北京, 100101
2.
中国科学院大学, 北京, 100049
|
语种
|
中文 |
文献类型
|
综述型 |
ISSN
|
1560-8999 |
学科
|
大气科学(气象学);预防医学、卫生学 |
基金
|
中国科学院战略性先导科技专项
|
文献收藏号
|
CSCD:6538855
|
参考文献 共
64
共4页
|
1.
IPCC.
Climate change 2014: Impacts, adaptation, and vulnerability. Working group II contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change,2014
|
CSCD被引
3
次
|
|
|
|
2.
秦大河.
气候变暖中国经济面临严峻挑战. 中国气象报,2007
|
CSCD被引
1
次
|
|
|
|
3.
谭建国.
高温热浪与人体健康,2009
|
CSCD被引
3
次
|
|
|
|
4.
张书余.
干旱气象学,2008
|
CSCD被引
11
次
|
|
|
|
5.
谭建国. 热浪对人体健康的影响及其研究方法.
气候与环境研究,2004,19(4):680-686
|
CSCD被引
3
次
|
|
|
|
6.
Russo S. Magnitude of extreme heat waves in present climate and their projection in a warming world.
Journal of Geophysical Research Atmospheres,2014,19(22):12500-12512
|
CSCD被引
20
次
|
|
|
|
7.
Zampieri M. Globai assessment of heat wave magnitudes from 1901 to 2010 and implications for the river discharge of the Alps.
Science of the Total Environment,2016,571:1330-1339
|
CSCD被引
5
次
|
|
|
|
8.
Semenza J C. Heat-related deaths during the July 1995 heat wave in Chicago.
New England Journal of Medicine,1996,335(2):84-90
|
CSCD被引
36
次
|
|
|
|
9.
Dousset B. Satellite multi-sensor data analysis of urban surface temperatures and land cover.
ISPRS Journal of Photogrammetry and Remote Sensing,2003,58(1/2):43-54
|
CSCD被引
31
次
|
|
|
|
10.
. A new heat sensitivity index for settlement areas.
Urban Climate,2013,6:63-81
|
CSCD被引
6
次
|
|
|
|
11.
Inostroza L. A heat vulnerability Index: Spatial patterns of exposure, sensitivity and adaptive capacity for Santiago de chile.
PLoS ONE,2016,11(9):e0162464
|
CSCD被引
9
次
|
|
|
|
12.
. 东南亚若推迟采取应对气候变化的行动,将自食恶果.
国际融资,2009(6):67-67
|
CSCD被引
1
次
|
|
|
|
13.
Thirumalai K. Extreme temperatures in southeast asia caused by el nino and worsened by global warming.
Nature Communications,2017,8:15531
|
CSCD被引
10
次
|
|
|
|
14.
Guo Y. Effects of temperature on mortality in Chiang Mai city, Thailand: A time series study.
Environmental Health,2012,11(1):36
|
CSCD被引
8
次
|
|
|
|
15.
Guo Y. Heat Wave and Mortality: A multicountry, multicommunity study.
Environmental Health Perspectives,2017,125(8)
|
CSCD被引
1
次
|
|
|
|
16.
Cunrui H. Mortality burden attributable to heatwaves in Thailand: A systematic assessment incorporating evidence-based lag structure.
Environment International,2018,121(1):41-45
|
CSCD被引
1
次
|
|
|
|
17.
Dung P. Spatial variation of heat-related morbidity: A hierarchical bayesian analysis in multiple districts of the Mekong Delta Region.
Science of the Total Environment,2018(637/638):1559-1565
|
CSCD被引
1
次
|
|
|
|
18.
胡峰. 1951-2000年山东省高温气象灾害的变化趋势和风险特征分析.
中国农学通报,2010,26(19):354-358
|
CSCD被引
5
次
|
|
|
|
19.
中国国家标准化管理委员会.
中华人民共和国国家标准高温热浪等级,2012
|
CSCD被引
1
次
|
|
|
|
20.
张可慧. 河北地区高温热浪时空特征及其对工业、交通的影响研究.
地理与地理信息科学,2011,27(6):90-95
|
CSCD被引
12
次
|
|
|
|
|