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A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units. 热脆弱性指数发展与验证的系统回顾:主要因素、方法和空间单元。
IF 9.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2021-01-01 Epub Date: 2021-04-27 DOI: 10.1007/s40641-021-00173-3
Yanlin Niu, Zhichao Li, Yuan Gao, Xiaobo Liu, Lei Xu, Sotiris Vardoulakis, Yujuan Yue, Jun Wang, Qiyong Liu

Purpose of review: This review aims to identify the key factors, methods, and spatial units used in the development and validation of the heat vulnerability index (HVI) and discuss the underlying limitations of the data and methods by evaluating the performance of the HVI.

Recent findings: Thirteen studies characterizing the factors of the HVI development and relating the index with validation data were identified. Five types of factors (i.e., hazard exposure, demographic characteristics, socioeconomic conditions, built environment, and underlying health) of the HVI development were identified, and the top five were social cohesion, race, and/or ethnicity, landscape, age, and economic status. The principal component analysis/factor analysis (PCA/FA) was often used in index development, and four types of spatial units (i.e., census tracts, administrative area, postal code, grid) were used for establishing the relationship between factors and the HVI. Moreover, although most studies showed that a higher HVI was often associated with the increase in health risk, the strength of the relationship was weak.

Summary: This review provides a retrospect of the major factors, methods, and spatial units used in development and validation of the HVI and helps to define the framework for future studies. In the future, more information on the hazard exposure, underlying health, governance, and protection awareness should be considered in the HVI development, and the duration and location of validation data should be strengthened to verify the reliability of HVI.

Supplementary information: The online version contains supplementary material available at 10.1007/s40641-021-00173-3.

综述目的:通过对热脆弱性指数(HVI)性能的评价,确定了开发和验证HVI的关键因素、方法和空间单元,并讨论了数据和方法的潜在局限性。最近的发现:13项研究表征了HVI发展的因素,并将指数与验证数据联系起来。确定了影响HVI发展的五种因素(即危害暴露、人口特征、社会经济条件、建筑环境和潜在健康),其中排名前五的因素是社会凝聚力、种族和/或民族、景观、年龄和经济地位。主要采用主成分分析/因子分析(PCA/FA),以人口普查区、行政区域、邮政编码、栅格四种空间单元建立因子与HVI的关系。此外,尽管大多数研究表明,较高的艾滋病毒感染指数往往与健康风险增加有关,但这种关系的强度很弱。摘要:本综述回顾了HVI开发和验证中使用的主要因素、方法和空间单元,并有助于确定未来研究的框架。未来,在HVI开发中应考虑更多关于危害暴露、潜在健康、治理和保护意识的信息,并加强验证数据的持续时间和位置,以验证HVI的可靠性。补充资料:在线版本提供补充资料,网址为10.1007/s40641-021-00173-3。
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引用次数: 12
Frontiers in Climate Change Adaptation Science: Advancing Guidelines to Design Adaptation Pathways 气候变化适应科学前沿:推进适应路径设计指南
IF 9.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2020-11-20 DOI: 10.1007/s40641-020-00166-8
A. Magnan, A. Magnan, E. Schipper, V. Duvat
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引用次数: 29
Author Correction: Resolving and Parameterising the Ocean Mesoscale in Earth System Models 作者更正:地球系统模式中海洋中尺度的解析和参数化
IF 9.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2020-11-19 DOI: 10.1007/s40641-020-00167-7
H. Hewitt, M. Roberts, P. Mathiot, A. Biastoch, E. Blockley, E. Chassignet, B. Fox‐Kemper, P. Hyder, D. Marshall, E. Popova, A. Treguier, L. Zanna, A. Yool, Yongqiang Yu, R. Beadling, M. Bell, T. Kuhlbrodt, T. Arsouze, A. Bellucci, F. Castruccio, Bolan Gan, D. Putrasahan, C. Roberts, Luke P. van Roekel, Qiuying Zhang
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引用次数: 0
Resolving and Parameterising the Ocean Mesoscale in Earth System Models 地球系统模式中海洋中尺度的解析和参数化
IF 9.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2020-10-07 DOI: 10.1007/s40641-020-00164-w
H. Hewitt, M. Roberts, P. Mathiot, A. Biastoch, E. Blockley, E. Chassignet, B. Fox‐Kemper, P. Hyder, D. Marshall, E. Popova, A. Treguier, L. Zanna, A. Yool, Yongqiang Yu, R. Beadling, M. Bell, T. Kuhlbrodt, T. Arsouze, A. Bellucci, F. Castruccio, Bolan Gan, D. Putrasahan, C. Roberts, Luke P. van Roekel, Qiuying Zhang
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引用次数: 69
Treatment of International Economic Trade in Intergovernmental Panel on Climate Change (IPCC) Reports 政府间气候变化专门委员会(IPCC)报告中对国际经济贸易的处理
IF 9.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2020-10-01 DOI: 10.1007/s40641-020-00163-x
J. Dawson, Jean E. Holloway, Nathan S. Debortoli, E. Gilmore
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引用次数: 0
Implementing Pre-Emptive Managed Retreat: Constraints and Novel Insights 实施先发制人的管理撤退:约束和新见解
IF 9.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2020-07-03 DOI: 10.1007/s40641-020-00161-z
J. Lawrence, J. Boston, R. Bell, S. Olufson, R. Kool, M. Hardcastle, A. Stroombergen
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引用次数: 47
Data Assimilation Improves Estimates of Climate-Sensitive Seasonal Snow 数据同化提高了对气候敏感的季节性降雪的估计
IF 9.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2020-05-15 DOI: 10.1007/s40641-020-00159-7
M. Girotto, K. Musselman, R. Essery
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引用次数: 22
When Climate Turns Nasty, What Are Recent and Future Implications? Ecological and Human Health Review of Climate Change Impacts 当气候变得恶劣时,近期和未来的影响是什么?气候变化影响的生态与人类健康综述
IF 9.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2020-05-01 DOI: 10.1007/s40641-020-00158-8
A. Ayanlade, C. Sergi, P. Di Carlo, O. S. Ayanlade, D. Agbalajobi
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引用次数: 14
Finding the Fingerprint of Anthropogenic Climate Change in Marine Phytoplankton Abundance 人为气候变化对海洋浮游植物丰度的影响
IF 9.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2020-03-27 DOI: 10.1007/s40641-020-00156-w
Geneviève Elsworth, N. Lovenduski, K. McKinnon, K. Krumhardt, R. Brady
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引用次数: 16
Extratropical Influence on the Tropical Rainfall Distribution 热带外对热带降水分布的影响
IF 9.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2020-03-01 DOI: 10.1007/s40641-020-00154-y
Sarah M. Kang
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引用次数: 29
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