RAPID: Development of a Nonlinear Activity Response Model for Coronavirus (COVID-19) Scenario Projections Based on the Observations of the Shutdown-Reopening Cycle of China

RAPID:基于对中国关闭-重新开放周期的观察,开发冠状病毒(COVID-19)情景预测的非线性活动响应模型

基本信息

  • 批准号:
    2030425
  • 负责人:
  • 金额:
    $ 19.98万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-05-01 至 2023-04-30
  • 项目状态:
    已结题

项目摘要

This RAPID project will investigate the cycle of shutdown and reopening of businesses in China due to COVID-19, and assess the usefulness of studying this cycle for providing guidance for policymaking in the U.S., European countries, and the countries where the medical testing capability is severely limited. The response to COVID-19 has varied significantly from the epicenter (Wuhan and Hunan province) to the other 25 provinces, 4 provincial-level megacities (Beijing, Shanghai, Tianjin, and Chongqing), and 5 autonomous regions for minority ethnic groups. The proxy data for response activities includes the processed TROPOMI tropospheric vertical NO2 column data and inverse modeling of daily NOx emissions in China. The hypotheses of this project are that (1) the COVID-19 infection data (including coronavirus positive test, hospitalization, and mortality data) and government policies largely shape the responses by the society and businesses; (2) near real-time monitoring of tropospheric column NO2 provide timely high spatiotemporal data for gauging the activity responses by the society and businesses, which are unavailable through conventional means; (3) with the large datasets of varying degrees of COVID-19 infection, governmental policy, and activity responses in different regions of China, a nonlinear response model will be developed and this model can later be corrected with data from US and other countries to provide policymaking guidance through scenario analysis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
这个RAPID项目将调查中国因COVID-19而关闭和重新开放企业的周期,并评估研究这个周期对美国政策制定提供指导的有用性,欧洲国家以及医学检测能力严重受限的国家。从震中(武汉和湖南省)到其他25个省份、4个省级特大城市(北京、上海、天津和重庆)以及5个少数民族自治区,对COVID-19的反应存在显著差异。响应活动的代理数据包括处理后的TROPOMI对流层垂直NO2柱数据和中国NOx日排放量的反演模型。 本项目的假设是:(1)COVID-19感染数据(包括冠状病毒阳性检测、住院和死亡数据)和政府政策在很大程度上影响了社会和企业的反应;(2)对流层NO2柱的近实时监测为衡量社会和企业的活动反应提供了及时的高时空数据,这是通过常规手段无法获得的;(3)通过中国不同地区不同程度的COVID-19感染、政府政策和活动响应的大数据集,美国国家科学基金会将开发一个非线性响应模型,然后利用美国和其他国家的数据对该模型进行修正,以便通过情景分析提供决策指导。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的学术价值和更广泛的影响审查标准。

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)
Optimal estimation of initial concentrations and emission sources with 4D-Var for air pollution prediction in a 2D transport model
使用 4D-Var 对初始浓度和排放源进行优化估计,用于 2D 传输模型中的空气污染预测
  • DOI:
    10.1016/j.scitotenv.2021.145580
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    9.8
  • 作者:
    Liu Caili;Zhang Shaoqing;Gao Yang;Wang Yuhang;Sheng Lifang;Gao Huiwang;Fung J C H
  • 通讯作者:
    Fung J C H
NOx Emission Reduction and Recovery during COVID-19 in East China
  • DOI:
    10.3390/atmos11040433
  • 发表时间:
    2020-04-01
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    Zhang, Ruixiong;Zhang, Yuzhong;Wang, Yuhang
  • 通讯作者:
    Wang, Yuhang
Quantifying the Impacts of COVID-19 Lockdown and Spring Festival on Air Quality over Yangtze River Delta Region
  • DOI:
    10.3390/atmos12060735
  • 发表时间:
    2021-06-01
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    Javed, Zeeshan;Tanvir, Aimon;Liu, Cheng
  • 通讯作者:
    Liu, Cheng
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Yuhang Wang其他文献

cryo-EM Structure of Alternative Complex III/ AA 3 Cytochrome Oxidase Supercomplex from Flavobacterium Johnsoniae
约翰逊黄杆菌替代复合物 III/AA 3 细胞色素氧化酶超级复合物的冷冻电镜结构
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Chang Sun;Padmaja Venkatakrishnan;S. Benlekbir;Yuhang Wang;J. Rubinstein;R. Gennis;Emad Takjhorshid
  • 通讯作者:
    Emad Takjhorshid
Strong Electronic Metal–Support Interaction between Iridium Single Atoms and a WO3 Support Promotes Highly Efficient and Robust CO2 Cycloaddition
铱单原子和 WO3 载体之间强电子金属载体相互作用促进高效、稳健的 CO2 环加成
  • DOI:
    10.1002/adma.202206991
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    29.4
  • 作者:
    Jie Xu;Heng Xu;Anqi Dong;Haotong Zhang;Yitong Zhou;Hao Dong;Boyang Tang;Yifei Liu;Le;Xijun Liu;Jun Luo;Li;Sheng Dai;Yuhang Wang;Xuhui Sun;Yanguang Li
  • 通讯作者:
    Yanguang Li
Privacy-Preserving Deep Learning for Erythemato-Squamous Disease Classification
用于红斑-鳞状疾病分类的隐私保护深度学习
  • DOI:
    10.1109/swc57546.2023.10448834
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yuhang Wang;Hanlin Zhang;Jie Lin;Fanyu Kong;Leyun Yu
  • 通讯作者:
    Leyun Yu
The influence of the oxygen vacancies on the Pt/TiO2 single-atom catalyst—a DFT study
氧空位对 Pt/TiO2 单原子催化剂的影响——DFT 研究
  • DOI:
    10.1007/s00894-022-05123-w
  • 发表时间:
    2021-12
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Yongkang Zhang;Yuhang Wang;Kaibin Su;Fengping Wang
  • 通讯作者:
    Fengping Wang
Protection of steel tube against corrosion using self-prestressing UHPC prepared with expansive agent and steel fibers
膨胀剂和钢纤维制备的自预应力UHPC对钢管的防腐保护
  • DOI:
    10.1016/j.istruc.2021.12.076
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    M. Khan;S.H. Chu;X.W. Deng;Yuhang Wang
  • 通讯作者:
    Yuhang Wang

Yuhang Wang的其他文献

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{{ truncateString('Yuhang Wang', 18)}}的其他基金

Understanding Photochemistry and Export of Ozone and Its Precursors from China
了解光化学和中国臭氧及其前体的出口
  • 批准号:
    1743401
  • 财政年份:
    2018
  • 资助金额:
    $ 19.98万
  • 项目类别:
    Continuing Grant
Ozone Photochemistry in China: Field Measurements and Modeling Analysis
中国的臭氧光化学:现场测量和模型分析
  • 批准号:
    1405805
  • 财政年份:
    2014
  • 资助金额:
    $ 19.98万
  • 项目类别:
    Standard Grant
Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction
合作研究:EaSM2——野火和区域气候变化——机制、建模和预测
  • 批准号:
    1243220
  • 财政年份:
    2013
  • 资助金额:
    $ 19.98万
  • 项目类别:
    Standard Grant
Investigation of Emissions and Ozone Photochemistry over China and Their Environmental Impacts
中国排放和臭氧光化学及其环境影响调查
  • 批准号:
    1158867
  • 财政年份:
    2012
  • 资助金额:
    $ 19.98万
  • 项目类别:
    Standard Grant
Understanding Ozone and Its Precursors in China and Regional Pollution Outflow: Field Measurements and Integrated Modeling Analysis
了解中国的臭氧及其前体和区域污染流出:现场测量和综合建模分析
  • 批准号:
    0710686
  • 财政年份:
    2007
  • 资助金额:
    $ 19.98万
  • 项目类别:
    Continuing Grant
Seasonal Trends of Springtime Ozone, Reactive Nitrogen, Carbon Monoxide, and Hydrocarbons Over North America and the Effects of Anthropogenic Emissions
北美地区春季臭氧、活性氮、一氧化碳和碳氢化合物的季节变化趋势及人为排放的影响
  • 批准号:
    0343854
  • 财政年份:
    2004
  • 资助金额:
    $ 19.98万
  • 项目类别:
    Continuing Grant
Collaborative Research: Modeling and Data Analysis of the Tropospheric Ozone Production about the Spring Equinox (TOPSE) Experiment
合作研究:春分(TOPSE)实验对流层臭氧产生的建模和数据分析
  • 批准号:
    0233751
  • 财政年份:
    2002
  • 资助金额:
    $ 19.98万
  • 项目类别:
    Standard Grant
Collaborative Research: Modeling and Data Analysis of the Tropospheric Ozone Production about the Spring Equinox (TOPSE) Experiment
合作研究:春分(TOPSE)实验对流层臭氧产生的建模和数据分析
  • 批准号:
    0000337
  • 财政年份:
    2000
  • 资助金额:
    $ 19.98万
  • 项目类别:
    Continuing Grant

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