Articles | Volume 20, issue 1
Atmos. Chem. Phys., 20, 499–514, 2020
https://doi.org/10.5194/acp-20-499-2020
Atmos. Chem. Phys., 20, 499–514, 2020
https://doi.org/10.5194/acp-20-499-2020

Research article 14 Jan 2020

Research article | 14 Jan 2020

Mitigation of PM2.5 and ozone pollution in Delhi: a sensitivity study during the pre-monsoon period

Ying Chen et al.

Data sets

The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning C. Wiedinmyer, S. K. Akagi, R. J. Yokelson, L. K. Emmons, J. A. Al-Saadi, J. J. Orlando, and A. J. Soja https://doi.org/10.5194/gmd-4-625-2011

ECMWF interim re-analysis dataset ECMWF http://apps.ecmwf.int/datasets/data/interim-full-daily

WRF-Chem emission tool D. Lowe https://github.com/douglowe/WRF_UoM_EMIT/releases/tag/v1.0

WRF-Chem emission tool for the PROMOTE project of Delhi air quality D. Lowe https://github.com/douglowe/PROMOTE-emissions/releases/tag/v1.0

NCEP sea surface temperature NCEP SST https://polar.ncep.noaa.gov/sst/

Download
Short summary
PM2.5 and O3 are two major air pollutants. Some mitigation strategies focusing on reducing PM2.5 may lead to substantial increase in O3. We use statistical emulation combined with atmospheric transport model to perform thousands of sensitivity numerical studies to identify the major sources of PM2.5 and O3 and to develop strategies targeted at both pollutants. Our scientific evidence suggests that regional coordinated emission control is required to mitigate PM2.5 whilst preventing O3 increase.
Altmetrics
Final-revised paper
Preprint