Zhu, Lei, Loretta J. Mickley, Daniel J. Jacob, Eloïse A. Marais, Jianxiong Sheng, Lu Hu, Gonzalo González Abad, and Kelly Chance. “Long-term (2005–2014) trends in formaldehyde (HCHO) columns across North America as seen by the OMI satellite instrument: Evidence of changing emissions of volatile organic compounds.” Geophysical Research Letters 44, no. 13 (2017): 7079–7086. Publisher's Version
Chan Miller, C., D.J. Jacob, E. A. Marais, K. Yu, K. R. Travis, P. S. Kim, J. A. Fisher, et al.Glyoxal yield from isoprene oxidation and relation to formaldehyde: chemical mechanism, constraints from SENEX aircraft observations, and interpretation of OMI satellite data.” Atmospheric Chemistry and Physics 17, no. 14 (2017): 8725–8738. Publisher's Version
Zhu, Lei, Daniel J. Jacob, Frank N. Keutsch, Loretta J. Mickley, Richard Scheffe, Madeleine Strum, Gonzalo González Abad, et al.Formaldehyde (HCHO) As a Hazardous Air Pollutant: Mapping Surface Air Concentrations from Satellite and Inferring Cancer Risks in the United States.” Environmental Science & Technology 51, no. 10 (2017): 5650-5657. Publisher's Version
Travis, K. R., D.J. Jacob, J. A. Fisher, P. S. Kim, E. A. Marais, L. Zhu, K. Yu, et al.Why do models overestimate surface ozone in the Southeast United States?.” Atmospheric Chemistry and Physics 16, no. 21 (2016): 13561–13577. Publisher's Version
Zhu, L., D.J. Jacob, P. S. Kim, J. A. Fisher, K. Yu, K. R. Travis, L.J. Mickley, et al.Observing atmospheric formaldehyde (HCHO) from space: validation and intercomparison of six retrievals from four satellites (OMI, GOME2A, GOME2B, OMPS) with SEAC⁴RS aircraft observations over the southeast US.” Atmospheric Chemistry and Physics 16, no. 21 (2016): 13477–13490. Publisher's Version
Fisher, J. A., D.J. Jacob, K. R. Travis, P. S. Kim, E. A. Marais, C. Chan Miller, K. Yu, et al.Organic nitrate chemistry and its implications for nitrogen budgets in an isoprene- and monoterpene-rich atmosphere: constraints from aircraft (SEAC4RS) and ground-based (SOAS) observations in the Southeast US.” Atmospheric Chemistry and Physics 16, no. 9 (2016): 5969–5991. Publisher's Version
Yu, K., D.J. Jacob, J. A. Fisher, P. S. Kim, E. A. Marais, C. C. Miller, K. R. Travis, et al.Sensitivity to grid resolution in the ability of a chemical transport model to simulate observed oxidant chemistry under high-isoprene conditions.” Atmospheric Chemistry and Physics 16, no. 7 (2016): 4369–4378. Publisher's Version
Marais, E. A., D.J. Jacob, J. L. Jimenez, P. Campuzano-Jost, D. A. Day, W. Hu, J. Krechmer, et al.Aqueous-phase mechanism for secondary organic aerosol formation from isoprene: application to the southeast United States and co-benefit of SO2 emission controls.” Atmospheric Chemistry and Physics 16, no. 3 (2016): 1603–1618. Publisher's Version
Kim, P. S., D.J. Jacob, J. A. Fisher, K. Travis, K. Yu, L. Zhu, R. M. Yantosca, et al.Sources, seasonality, and trends of southeast US aerosol: an integrated analysis of surface, aircraft, and satellite observations with the GEOS-Chem chemical transport model.” Atmospheric Chemistry and Physics 15, no. 18 (2015): 10411–10433. Publisher's Version
Zhu, Lei, Daniel J Jacob, Loretta J Mickley, Eloïse A Marais, Daniel S Cohan, Yasuko Yoshida, Bryan N Duncan, Gonzalo González Abad, and Kelly V Chance. “Anthropogenic emissions of highly reactive volatile organic compounds in eastern Texas inferred from oversampling of satellite (OMI) measurements of HCHO columns.” Environmental Research Letters 9, no. 11 (2014): 114004. Publisher's VersionAbstract
Satellite observations of formaldehyde (HCHO) columns provide top-down constraints on emissions of highly reactive volatile organic compounds (HRVOCs). This approach has been used previously in the US to estimate isoprene emissions from vegetation, but application to anthropogenic emissions has been stymied by lack of a discernable HCHO signal. Here we show that temporal oversampling of HCHO data from the Ozone Monitoring Instrument (OMI) for 2005–2008 enables detection of urban and industrial plumes in eastern Texas including Houston, Port Arthur, and Dallas/Fort Worth. By spatially integrating the HCHO enhancement in the Houston plume observed by OMI we estimate an anthropogenic HCHO source of 250 ± 140 kmol h −1 . This implies that anthropogenic HRVOC emissions in Houston are 4.8 ± 2.7 times higher than reported by the US Environmental Protection Agency inventory, and is consistent with field studies identifying large ethene and propene emissions from petrochemical industrial sources.
Li, Mengmeng, Xin Huang, Lei Zhu, Jianfeng Li, Yu Song, Xuhui Cai, and Shaodong Xie. “Analysis of the transport pathways and potential sources of \PM10\ in Shanghai based on three methods.” Science of The Total Environment 414 (2012): 525 - 534. Publisher's Version
Huang, Xin, Mengmeng Li, Hans R. Friedli, Yu Song, Di Chang, and Lei Zhu. “Mercury Emissions from Biomass Burning in China.” Environmental Science & Technology 45, no. 21 (2011): 9442-9448. Publisher's Version
Zhu, Lei, Xin Huang, Hui Shi, Xuhui Cai, and Yu Song. “Transport pathways and potential sources of \PM10\ in Beijing.” Atmospheric Environment 45, no. 3 (2011): 594 - 604. Publisher's Version
Song, Yu, Di Chang, Bing Liu, Weijie Miao, Lei Zhu, and Yuanhang Zhang. “A new emission inventory for nonagricultural open fires in Asia from 2000 to 2009.” Environmental Research Letters 5, no. 1 (2010): 014014. Publisher's VersionAbstract
Open fires play a significant role in atmospheric pollution and climatic change. This work aims to develop an emission inventory for nonagricultural open fires in Asia using the newly released MODIS (Moderate Resolution Imaging Spectroradiometer) burned area product (MCD45A1), as the MODIS sensor cannot efficiently detect field crop residue burning. Country-level or province-specific biomass density data were used as fuel loads. Moisture contents were taken into account when calculating combustion factors for grass fuel. During the nine fire years 2000–2008, both burned areas and fire emissions clearly presented spatial and seasonal variations. Extensive nonagricultural open fires were concentrated in the months of February and March, while another peak was between August and October. Indonesia was the most important contributor to fire emission, which was largely attributable to peat burning. Myanmar, India, and Cambodia together contributed approximately half of the total burned area and emission. The annual emissions for CO 2 , CO, CH 4 , NMHC s , NO x , NH 3 , SO 2 , BC, OC, PM 2.5 , and PM 10 were 83 (69–103), 6.1 (4.6–8.2), 0.38 (0.24–0.57), 0.64 (0.36–1.0), 0.085 (0.074–0.10), 0.31 (0.17–0.48), 0.030 (0.024–0.037), 0.023 (0.020–0.028), 0.27 (0.22–0.33), 2.0 (1.6–2.6), and 2.2 (1.7–2.9) Tg yr − 1 , respectively. This inventory has a daily temporal resolution and 500 m spatial resolution, and covers a long period, from April 2000 to February 2009. It could be used in global and regional air quality modeling.
B, Wang, L Zhu, H Gong, R Wang, and S Tao. “Introduction to the methods of parameter estimation for environmental monitoring data set with truncated data below a detection limit.” Acta Science Circumstantiae, 29 (2009): 7. wang_2009.pdf