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Jia Jung

Government of the United States of America - Pacific Northwest National Laboratory

901 D Street

370 L'Enfant Promenade, S.W.

Washington, DC 20024-2115

United States

SCHOLARLY PAPERS

4

DOWNLOADS

319

TOTAL CITATIONS

5

Scholarly Papers (4)

1.

Impacts of the Large-Scale Use of Passenger Electric Vehicles on Public Health in 30 U.S. Metropolitan Areas

Number of pages: 26 Posted: 08 Jul 2022
Nanjing University of Information Science and Technology, Nanjing University of Information Science and Technology, University of California, Davis - Institute of Transportation Studies, Government of the United States of America - Pacific Northwest National Laboratory, University of Houston and Cornell University - School of Civil and Environmental Engineering
Downloads 153 (488,442)
Citation 5

Abstract:

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Electric vehicles, air quality, health impacts, metropolitan areas, passenger travel, United States

2.

Constraining East Asia Ammonia Emissions Through Satellite Observations and Iterative Finite Difference Mass Balance (iFDMB) and Investigating its Impact on Inorganic Fine Particulate Matter

Number of pages: 44 Posted: 28 Mar 2023
University of Houston, University of Houston - Department of Earth and Atmospheric Sciences, University of Houston, University of Houston, Government of the United States of America - Pacific Northwest National Laboratory, University of Houston, Environment and Climate Change Canada, Environment and Climate Change Canada and Atmospheric and Environmental Research (AER)
Downloads 74 (844,901)

Abstract:

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iFDMB, CrIS, inverse modeling, ammonia, East Asia, inorganic particulate matter

3.

A Coupled Deep Learning Model for Estimating Surface NO2 Levels from Remote Sensing Data: 15-Year Study Over the Contiguous United States

Number of pages: 37 Posted: 13 Dec 2022
University of Houston, University of Houston, University of Houston, University of Houston and Government of the United States of America - Pacific Northwest National Laboratory
Downloads 72 (860,052)

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Satellite remote sensing; Deep learning; partial convolutional neural network; NO2 estimation; United States

4.

Emission uncertainty as a key driver of PM10 exposure prediction errors during Asian dust events: Insights from observation-constrained dust simulations

Number of pages: 36 Posted: 23 May 2026
Pusan National University, Pusan National University, National Oceanic and Atmospheric Administration, Government of the United States of America - Pacific Northwest National Laboratory, Pusan National University, Pusan National University, Pusan National University, Pusan National University and Pusan National University
Downloads 20 (1,459,862)

Abstract:

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Asian dust, PM10 exposure, Emission correction, Air quality prediction, Planetary boundary layer