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Daniel Q. Tong  - - - 
Top co-authors
Robert Mendelsohn

142 shared publications

Yale School of Forestry & Environmental Studies 195 Prospect Street New Haven, CT 06511

Nicholas Muller

25 shared publications

Middlebury College and NBER

39
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Publication Record
Distribution of Articles published per year 
(2004 - 2016)
Total number of journals
published in
 
22
 
Publications See all
Article 1 Read 6 Citations A Systematic Review of Global Desert Dust and Associated Human Health Effects Xuelei Zhang, Lijing Zhao, Guangjian Wu, Mo Dan, Bo Teng, Da... Published: 06 December 2016
Atmosphere, doi: 10.3390/atmos7120158
DOI See at publisher website ABS Show/hide abstract
Dust storms and sandy dust events originating in arid and semi-arid areas can transport particulate material, pollutants, and potential transport long distances from their sources. Exposure to desert dust particles is generally acknowledged to endanger human health. However, most studies have examined anthropogenic particulate sources, with few studies considering contributions from natural desert dust. A systematic literature review was undertaken using the ISI Web of Knowledge and PubMed databases with the objective of identifying all studies presenting results on the potential health impact from desert dust particles across the world. This review reveals an imbalance between the areas most exposed to dust and the areas most studied in terms of health effects. Among the human health effects of dust storms are mortality and morbidity, arising from respiratory system, circulatory system, and other diseases. We summarize the quantitative results of current scientific health research and possible pathological mechanisms, and describe some of the many challenges related to understanding health effects from exposures to desert dust particles. Overall, for respiratory and circulatory mortality, both positive and negative associations have been reported for PM10 of desert dust, but only a positive relationship was reported between PM2.5–10 and mortality, and a positive relationship was also reported between PM2.5 and human mortality. Future pathological studies should continue to focus on those mechanisms causing the most harmful effect of desert dust on respiratory and cardiovascular diseases. More attention should also be paid to the association between desert dust and the morbidity of other diseases, such as those affecting the reproductive system and nervous system.
Article 0 Reads 0 Citations Introduction to a Special Issue of JA&WMA on NOAA’s 7th International Workshop on Air Quality Forecasting Research (IWAQ... Richard Artz, Pius Lee, Rick Saylor, Ariel Stein, Daniel Ton... Published: 08 September 2016
Journal of the Air & Waste Management Association, doi: 10.1080/10962247.2016.1216978
DOI See at publisher website
Article 3 Reads 2 Citations Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from ch... Daniel Tong, Li Pan, Weiwei Chen, Lok Lamsal, Pius Lee, Youh... Published: 05 September 2016
Geophysical Research Letters, doi: 10.1002/2016gl069885
DOI See at publisher website ABS Show/hide abstract
Satellite and ground observations detected large variability in nitrogen oxides (NOx) during the 2008 economic recession, but the impact of the recession on air quality has not been quantified. This study combines observed NOx trends and a regional chemical transport model to quantify the impact of the recession on surface ozone (O3) levels over the continental United States. The impact is quantified by simulating O3 concentrations under two emission scenarios: business‐as‐usual (BAU) and recession. In the BAU case, the emission projection from the Cross‐State Air Pollution Rule is used to estimate the “would‐be” NOx emission level in 2011. In the recession case, the actual NO2 trends observed from Air Quality System ground monitors and the Ozone Monitoring Instrument on the Aura satellite are used to obtain “realistic” changes in NOx emissions. The model prediction with the recession effect agrees better with ground O3 observations over time and space than the prediction with the BAU emission. The results show that the recession caused a 1–2 ppbv decrease in surface O3 concentration over the eastern United States, a slight increase (0.5–1 ppbv) over the Rocky Mountain region, and mixed changes in the Pacific West. The gain in air quality benefits during the recession, however, could be quickly offset by the much slower emission reduction rate during the post‐recession period.
Article 0 Reads 3 Citations Evaluating ammonia (NH3) predictions in the NOAA National Air Quality Forecast Capability (NAQFC) using in situ aircraft... William H. Battye, Casey D. Bray, Viney P. Aneja, Daniel Ton... Published: 01 September 2016
Atmospheric Environment, doi: 10.1016/j.atmosenv.2016.06.021
DOI See at publisher website
Conference 6 Reads 0 Citations Impact of Wildfires on Atmospheric Ammonia Concentrations in the US: Coupling Satellite and Ground Based Measurements Casey Bray, William Battye, Viney Aneja, Daniel Tong, Pius L... Published: 15 July 2016
The 1st International Electronic Conference on Atmospheric Sciences, doi: 10.3390/ecas2016-b001
DOI See at publisher website
Article 4 Reads 8 Citations Model development of dust emission and heterogeneous chemistry within the Community Multiscale Air Quality modeling syst... Xinyi Dong, Joshua S. Fu, Kan Huang, Daniel Tong, Guoshun Zh... Published: 06 July 2016
Atmospheric Chemistry and Physics, doi: 10.5194/acp-16-8157-2016
DOI See at publisher website ABS Show/hide abstract
The Community Multiscale Air Quality (CMAQ) model has been further developed in terms of simulating natural wind-blown dust in this study, with a series of modifications aimed at improving the model's capability to predict the emission, transport, and chemical reactions of dust. The default parameterization of initial threshold friction velocity constants are revised to correct the double counting of the impact of soil moisture in CMAQ by the reanalysis of field experiment data; source-dependent speciation profiles for dust emission are derived based on local measurements for the Gobi and Taklamakan deserts in East Asia; and dust heterogeneous chemistry is also implemented. The improved dust module in the CMAQ is applied over East Asia for March and April from 2006 to 2010. The model evaluation result shows that the simulation bias of PM10 and aerosol optical depth (AOD) is reduced, respectively, from −55.42 and −31.97% by the original CMAQ to −16.05 and −22.1% by the revised CMAQ. Comparison with observations at the nearby Gobi stations of Duolun and Yulin indicates that applying a source-dependent profile helps reduce simulation bias for trace metals. Implementing heterogeneous chemistry also results in better agreement with observations for sulfur dioxide (SO2), sulfate (SO42−), nitric acid (HNO3), nitrous oxides (NOx), and nitrate (NO3−). The investigation of a severe dust storm episode from 19 to 21 March 2010 suggests that the revised CMAQ is capable of capturing the spatial distribution and temporal variation of dust. The model evaluation also indicates potential uncertainty within the excessive soil moisture used by meteorological simulation. The mass contribution of fine-mode particles in dust emission may be underestimated by 50%. The revised CMAQ model provides a useful tool for future studies to investigate the emission, transport, and impact of wind-blown dust over East Asia and elsewhere.
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