Grantee Research Project Results
2019 Progress Report: Particulate Matter Prediction and Source Attribution for U.S. Air Quality Management in a Changing World
EPA Grant Number: R835876Title: Particulate Matter Prediction and Source Attribution for U.S. Air Quality Management in a Changing World
Investigators: Liang, Xin-Zhong , Wuebbles, Donald J. , Dickerson, Russell R. , Tao, Zhining , He, Hao , Sun, Chao , Sanyal, Swarnali
Current Investigators: Liang, Xin-Zhong , Wuebbles, Donald J. , Dickerson, Russell R. , Tao, Zhining , He, Hao
Institution: University of Maryland - College Park , University of Illinois Urbana-Champaign , Goddard Earth Sciences Technology & Research
EPA Project Officer: Keating, Terry
Project Period: April 1, 2016 through March 31, 2019 (Extended to March 31, 2021)
Project Period Covered by this Report: April 1, 2019 through March 31,2020
Project Amount: $790,000
RFA: Particulate Matter and Related Pollutants in a Changing World (2014) RFA Text | Recipients Lists
Research Category: Air , Ecological Indicators/Assessment/Restoration , Climate Change
Objective:
The objectives of this study are to better understand how global changes in climate and emissions will affect U.S. pollution, focusing on particulate matter and ozone, project their future trends, quantify key source attributions, and thus provide actionable information for U.S. environmental planners and decision makers to design effective dynamic management strategies, including local controls, domestic regulations and international policies, to sustain air quality improvements in a changing world.
Progress Summary:
We have finished all the model simulation and devoted this year to data analysis and preparation for scientific publications.
Future Activities:
As outlined in our original proposal, we have finished all the tasks proposed and will continue working on data analysis and paper writing.
Journal Articles on this Report : 6 Displayed | Download in RIS Format
| Other project views: | All 8 publications | 6 publications in selected types | All 6 journal articles |
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He H, Liang X-Z, Lei H, Wuebbles DJ. Future U.S. ozone projections dependence on regional emissions, climate change, long-range transport and differences in modeling design. Atmospheric Environment 2016;128:124-133. |
R835876 (2016) R835876 (2017) R835876 (2018) R835876 (2019) R835876 (Final) R833373 (Final) |
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He H, Liang X-Z, Wuebbles DJ. Effects of emissions change, climate change and long-range transport on regional modeling of future U.S. particulate matter pollution and speciation. Atmospheric Environment 2018;179:166-176. |
R835876 (2017) R835876 (2018) R835876 (2019) R835876 (Final) |
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He H, Liang XZ, Sun C, Tao Z, Tong DQ. The long-term trend and production sensitivity change in the US ozone pollution from observations and model simulations. Atmospheric Chemistry & Physics 2020;20(5): 3191-3208. |
R835876 (2019) R835876 (Final) |
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Tao Z, He H, Sun C, Tong D, Liang XZ. Impact of fire emissions on US air quality from 1997 to 2016-a modeling study in the satellite era. Remote Sensing 2020;12(6):913. |
R835876 (2019) R835876 (Final) |
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Sun C, Liang XZ. Improving US extreme precipitation simulation: Sensitivity to physics parameterizations. Climate Dynamics 2020;54:4891-4918. |
R835876 (2019) R835876 (Final) |
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Sun C, Liang XZ. Improving US extreme precipitation simulation: Dependence on cumulus parameterization and underlying mechanism. Climate Dynamics 2020:1-28. |
R835876 (2019) R835876 (Final) |
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Supplemental Keywords:
Air Quality, Global Change, Wildfire EmissionsProgress and Final Reports:
Original AbstractThe perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.