PREEVENTS Track 2: Collaborative Research: SHADE: Surface Heat Assessment for Developed Environments

预防措施轨道 2:协作研究:SHADE:发达环境的表面热评估

基本信息

  • 批准号:
    1664091
  • 负责人:
  • 金额:
    $ 51.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-08-01 至 2021-07-31
  • 项目状态:
    已结题

项目摘要

Extreme heat wave events, exacerbated by the urban heat island effect, can have major impacts on the lives and health of city residents. Projected future temperature increases for many urban areas of the United States will only exacerbate these impacts. This project investigates how various geophysical processes interact to produce this extreme heat, and how heat hazard and the vulnerability and exposure of urban populations to this hazard contribute to the consequences of these extreme events. It will develop and apply methods for the assessment of the magnitude, frequency, and potential consequences of extreme heat events in urban areas at a high resolution in space (throughout a city) and time (throughout a day). Furthermore, these methods will be used to assess how changes to the climate and to the urban fabric, for example via mitigation actions such as adopting green roofs or urban trees, will alter the heat hazard and risk.This project will develop physical and probabilistic models for urban temperature hazards, to accomplish the following project goals: (i) improving the physical modeling of extreme urban heat to better understand its physical precursors, (ii) improving the probabilistic modeling of extreme urban heat to enable more efficient downscaling of its increasing hazard in the future, (iii) understanding and modeling the spatially and temporally varying vulnerability of the urban population to extreme heat, and (iv) combining these improved hazard and vulnerability models to assess the resulting risk and the effectiveness of mitigation strategies that aim to reduce it. The combination of deterministic and probabilistic modeling approaches proposed in this project will allow for more accurate predictions (including appropriate quantification of uncertainties) of current and future high temperature hazards due to the interaction of heat waves and the urban heat island effect in cities. Specific components developed during this research, such as probabilistic temperature models, risk quantification methods, and assessments of the effectiveness of portfolios of risk mitigation strategies will be of interest to other researchers in the scientific community and in industry pursuing related work. The developed methods will be applied to the integrated analysis of cities as Pittsburgh, PA, and Los Angeles, CA.
极端热浪事件,加剧了城市热岛效应,可以对城市居民的生活和健康产生重大影响。预计未来美国许多城市地区的气温升高只会加剧这些影响。该项目研究了各种地球物理过程如何相互作用产生这种极端高温,以及热危害以及城市人口对这种危害的脆弱性和暴露程度如何导致这些极端事件的后果。它将开发和应用在空间(整个城市)和时间(一整天)上以高分辨率评估城市地区极端高温事件的震级、频率和潜在后果的方法。此外,这些方法将用于评估气候和城市结构的变化(例如通过采用绿色屋顶或城市树木等缓解行动)将如何改变热危害和风险。本项目将开发城市温度灾害的物理和概率模型,以实现以下项目目标:(i)改进城市极端高温的物理模拟,以便更好地了解其物理前兆;(ii)改进城市极端高温的概率模拟,以便在未来更有效地缩小其日益增加的危害;(iii)理解和模拟城市人口对极端高温的时空变化脆弱性。(四)将这些改进的危害和脆弱性模型结合起来,评估由此产生的风险以及旨在减少风险的缓解战略的有效性。本项目提出的确定性和概率建模方法的结合,将允许对热浪和城市热岛效应相互作用造成的当前和未来高温危害进行更准确的预测(包括适当的不确定性量化)。在这项研究中开发的具体组成部分,如概率温度模型、风险量化方法和风险缓解战略组合的有效性评估,将引起科学界和从事相关工作的工业界其他研究人员的兴趣。所开发的方法将应用于宾夕法尼亚州匹兹堡和加利福尼亚州洛杉矶等城市的综合分析。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Developing short-term probabilistic forecasts of meso-scale near-surface urban temperature fields
发展中尺度近地表城市温度场的短期概率预测
  • DOI:
    10.1016/j.envsoft.2021.105189
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    4.9
  • 作者:
    Choi, Byeongseong;Berges, Mario;Bou-Zeid, Elie;Pozzi, Matteo
  • 通讯作者:
    Pozzi, Matteo
Designing sensor networks to resolve spatio-temporal urban temperature variations: fixed, mobile or hybrid?
  • DOI:
    10.1088/1748-9326/ab25f8
  • 发表时间:
    2019-07
  • 期刊:
  • 影响因子:
    6.7
  • 作者:
    Jiachuan Yang;E. Bou‐Zeid
  • 通讯作者:
    Jiachuan Yang;E. Bou‐Zeid
Culture and cognition: Understanding public perceptions of risk and (in)action
文化和认知:了解公众对风险和(行动)的看法
Health effects of heat vulnerability in Rio de Janeiro: a validation model for policy applications
里约热内卢热脆弱性对健康的影响:政策应用的验证模型
  • DOI:
    10.1007/s42452-020-03750-7
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
    Prosdocimi, Diogo;Klima, Kelly
  • 通讯作者:
    Klima, Kelly
Surface heat assessment for developed environments: Optimizing urban temperature monitoring
  • DOI:
    10.1016/j.buildenv.2018.05.059
  • 发表时间:
    2018-08
  • 期刊:
  • 影响因子:
    7.4
  • 作者:
    C. Malings;M. Pozzi;K. Klima;M. Berges;E. Bou‐Zeid;P. Ramamurthy
  • 通讯作者:
    C. Malings;M. Pozzi;K. Klima;M. Berges;E. Bou‐Zeid;P. Ramamurthy
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Matteo Pozzi其他文献

Investigating the mechanisms underlying resistance to chemotherapy and to CRISPR-Cas9 in cancer cell lines
  • DOI:
    10.1038/s41598-024-55138-x
  • 发表时间:
    2024-03-05
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Francesca Tomasi;Matteo Pozzi;Mario Lauria
  • 通讯作者:
    Mario Lauria
Cutting-edge technology and automation in the pathology laboratory.
病理实验室的尖端技术和自动化。
Connectivity constraints for eigenvalue reduction in level-set topology optimization
水平集拓扑优化中用于特征值缩减的连通性约束
  • DOI:
    10.1016/j.compstruc.2025.107865
  • 发表时间:
    2025-09-01
  • 期刊:
  • 影响因子:
    4.800
  • 作者:
    Giacomo Bonaccorsi;Matteo Pozzi;Jaeyub Hyun;Hyunsun Alicia Kim;Francesco Braghin
  • 通讯作者:
    Francesco Braghin
Features and outcomes of female and male patients requiring postcardiotomy extracorporeal life support
需要体外循环心脏术后体外生命支持的女性和男性患者的特征及治疗结果
  • DOI:
    10.1016/j.jtcvs.2024.04.033
  • 发表时间:
    2024-12-01
  • 期刊:
  • 影响因子:
    4.400
  • 作者:
    Silvia Mariani;Justine Mafalda Ravaux;Bas C.T. van Bussel;Maria Elena De Piero;Sander M.J. van Kruijk;Anne-Kristin Schaefer;Dominik Wiedemann;Diyar Saeed;Matteo Pozzi;Antonio Loforte;Udo Boeken;Robertas Samalavicius;Karl Bounader;Xiaotong Hou;Jeroen J.H. Bunge;Hergen Buscher;Leonardo Salazar;Bart Meyns;Michael A. Mazzeffi;Sacha Matteucci;Marco Solinas
  • 通讯作者:
    Marco Solinas
Elective Impella Recover LP 5.0 utilization for postcardiotomy low-output syndrome after aortic valve replacement
  • DOI:
    10.1016/j.ijcard.2011.07.025
  • 发表时间:
    2012-03-08
  • 期刊:
  • 影响因子:
  • 作者:
    Ciro Mastroianni;Matteo Pozzi;Michaela Niculescu;Ralouka Makri;Julien Clarissou;Alain Pavie;Pascal Leprince
  • 通讯作者:
    Pascal Leprince

Matteo Pozzi的其他文献

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{{ truncateString('Matteo Pozzi', 18)}}的其他基金

Attitude towards information in multi-agent settings: Understanding and mitigating Avoidance and Over-Evaluation
多主体环境中对信息的态度:理解和减轻回避和过度评估
  • 批准号:
    1919453
  • 财政年份:
    2019
  • 资助金额:
    $ 51.5万
  • 项目类别:
    Continuing Grant
CAREER: Infrastructure Management under Model Uncertainty: Adaptive Sequential Learning and Decision Making
职业:模型不确定性下的基础设施管理:自适应顺序学习和决策
  • 批准号:
    1653716
  • 财政年份:
    2017
  • 资助金额:
    $ 51.5万
  • 项目类别:
    Standard Grant
From Future Learning To Current Action: Long-Term Sequential Infrastructure Planning Under Uncertainty
从未来的学习到当前的行动:不确定性下的长期顺序基础设施规划
  • 批准号:
    1663479
  • 财政年份:
    2017
  • 资助金额:
    $ 51.5万
  • 项目类别:
    Standard Grant
CRISP Type 1/Collaborative Research: A Computational Approach for Integrated Network Resilience Analysis Under Extreme Events for Financial and Physical Infrastructures
CRISP 类型 1/协作研究:金融和物理基础设施极端事件下综合网络弹性分析的计算方法
  • 批准号:
    1638327
  • 财政年份:
    2016
  • 资助金额:
    $ 51.5万
  • 项目类别:
    Standard Grant

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