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Yongtao Hu

Researcher at Georgia Institute of Technology

Publications -  131
Citations -  4257

Yongtao Hu is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: CMAQ & Air quality index. The author has an hindex of 34, co-authored 124 publications receiving 3425 citations. Previous affiliations of Yongtao Hu include École Polytechnique Fédérale de Lausanne & Peking University.

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Nonlinear response of ozone to emissions: source apportionment and sensitivity analysis.

TL;DR: This work explores the nonlinear responses of ozone to emissions of its precursors, nitrogen oxides (NOx) and volatile organic compounds, and introduces a method for applying second-order direct sensitivity method to assess the uncertainty of sensitivity and source apportionment estimates arising from uncertainty in an emissions inventory.
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Application of OMI observations to a space-based indicator of NOx and VOC controls on surface ozone formation

TL;DR: In this paper, the authors investigated variations in the relative sensitivity of surface ozone formation in summer to precursor species concentrations of volatile organic compounds (VOCs) and nitrogen oxides (NOx) as inferred from the ratio of the tropospheric columns of formaldehyde to nitrogen dioxide (the "Ratio") from the Aura Ozone Monitoring Instrument (OMI).
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Airport related emissions and impacts on air quality: Application to the Atlanta International Airport

TL;DR: In this paper, the authors quantify the impact of aircraft emissions on regional air quality, especially in regards to PM2.5 and ozone, using the Emissions and Dispersion Modeling System (EDMS).
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Substantial Changes in Nitrogen Dioxide and Ozone after Excluding Meteorological Impacts during the COVID-19 Outbreak in Mainland China

TL;DR: In this paper, the COVID-19 outbreak in China led to dramatic changes in human activities resulting from the sudden infection prevention and control measures, using ground-level observations and model simulators.
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Decoupled direct 3D sensitivity analysis for particulate matter (DDM-3D/PM)

TL;DR: In this article, the decoupled direct method (DDM) and DDM-3D have been implemented in air quality models in order to efficiently compute sensitivities, particularly for species responses to emissions of their "parent" precursor.