Deyong Wen

ORCID: 0000-0003-2682-2937
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About
Contact & Profiles
Research Areas
  • Air Quality and Health Impacts
  • Atmospheric chemistry and aerosols
  • Toxic Organic Pollutants Impact
  • Atmospheric and Environmental Gas Dynamics
  • Mercury impact and mitigation studies
  • Vehicle emissions and performance
  • Adsorption and biosorption for pollutant removal
  • Environmental and Agricultural Sciences
  • Climate variability and models
  • Advanced Sensor and Control Systems
  • Meteorological Phenomena and Simulations
  • Industrial Technology and Control Systems
  • Effects and risks of endocrine disrupting chemicals
  • Wastewater Treatment and Nitrogen Removal
  • Energy Load and Power Forecasting
  • Isotope Analysis in Ecology
  • Ammonia Synthesis and Nitrogen Reduction
  • Material Properties and Applications
  • Air Quality Monitoring and Forecasting
  • Groundwater and Isotope Geochemistry
  • Hydrocarbon exploration and reservoir analysis
  • Chemokine receptors and signaling
  • Cyclone Separators and Fluid Dynamics
  • Angiogenesis and VEGF in Cancer
  • Industrial Engineering and Technologies

Environment and Climate Change Canada
2018-2024

University of Waterloo
2005-2015

Waterloo CFD Engineering Consulting
2015

Peking University
2005

CAE (Canada)
1999

Mayo Clinic
1994

Abstract. Atmospheric inversion models have the potential to quantify CO2 fluxes at regional, sub-continental scales by taking advantage of near-surface mixing ratio observations collected in areas with high flux variability. This study presents results from a series regional geostatistical inverse (GIM) over North America for 2004, and uses them as basis an inter-comparison other studies estimates biospheric through American Carbon Program Regional Continental Interim Synthesis. Because GIM...

10.5194/bg-9-457-2012 article EN cc-by Biogeosciences 2012-01-25

10.1016/j.jhazmat.2005.10.020 article EN Journal of Hazardous Materials 2005-11-29

This study produced gridded deposition estimates of polycyclic aromatic compounds (PACs), including 17 hydrocarbons (PAHs), 21 alkylated PAHs (alk-PAHs), and 5 dibenzothiophenes (DBTs), over the oil sands region Alberta, Canada surrounding communities. Gridded annual total PACs in 2011 ranged from 55 to 175 000 μg m–2 yr–1 mean median fluxes were 1700 760 yr–1, respectively. The domain-wide dry wet 600 1100 yr–1. PAHs, alk-PAHs DBTs contributed 19%, 74%, 7% deposition, 42%, 49%, 9%...

10.1021/acs.est.8b02486 article EN Environmental Science & Technology 2018-10-09

Polycyclic aromatic hydrocarbons (PAHs) represent a class of ubiquitous pollutants recognized as established human carcinogens and endocrine-disrupting chemicals. PAHs have seldom been modeled at the population-level in epidemiological studies. Fluoranthene is prevalent PAH urban settings correlates with occurrence other PAHs. The purpose this study was to evaluate associations between long-term residential exposure ambient breast cancer risk, both pre- post-menopausal, Canada.

10.1007/s10552-024-01866-4 article EN cc-by Cancer Causes & Control 2024-04-17

We interpret a full year of high-frequency CO measurements from tall tower in the U.S. Upper Midwest with time-reversed Lagrangian Particle Dispersion Model (STILT LPDM) and an Eulerian chemical transport model (GEOS-Chem CTM) to develop top-down constraints on sources 2009. Our best estimate is that anthropogenic emissions 2009 were 2.9 Tg, 61% lower (a posteriori scale factor 0.39) than our priori prediction based EPA's National Emission Inventory for 2005 (NEI 2005). If same bias applies...

10.1021/es4009486 article EN Environmental Science & Technology 2013-07-11

10.1016/j.atmosenv.2008.02.050 article EN Atmospheric Environment 2008-03-05

Abstract. Hourly total gaseous mercury (TGM) concentrations at three monitoring sites (receptors) in Ontario were predicted for four selected periods different seasons 2002 using the Stochastic Time-Inverted Lagrangian Transport (STILT) model, which transports air parcels backward time from receptors to provide linkages source region upwind area. The STILT model was modified deal with Hg deposition and high stack emissions. model-predicted compared observations sites. Estimates of transport...

10.5194/acp-11-1405-2011 article EN cc-by Atmospheric chemistry and physics 2011-02-16

Abstract. A bidirectional air–surface exchange scheme for atmospheric ammonia was incorporated into the Stochastic Time-Inverted Lagrangian Transport air quality model (STILT-Chem v0.8). STILT-Chem v0.8 then applied to simulate concentrations at 53 measurement sites in province of Ontario, Canada a six-month period from 1 June 30 November 2006. In addition scheme, two unidirectional dry deposition schemes were tested. Comparisons modeled against observations show that all three can...

10.5194/gmd-7-1037-2014 article EN cc-by Geoscientific model development 2014-05-28

Abstract. A new chemistry module that simulates atmospheric ammonia (NH3) and ammonium (NH+4) was incorporated into a backward-in-time stochastic Lagrangian air quality model (STILT-Chem) originally developed to simulate the concentrations of variety gas-phase species at receptors. STILT-Chem transport parcels backward in time using ensembles fictitious particles with motions, while accounting for emissions, deposition chemical transformation forward along trajectories identified by...

10.5194/gmd-6-327-2013 article EN cc-by Geoscientific model development 2013-03-11

An "event-based" approach to characterize complex air pollutant mixtures was applied in the Oil Sands region of northern Alberta, Canada. This developed better-inform source characterization and attribution pollution Indigenous community Fort McKay, within context lived experience residents. Principal component analysis used identify characteristics primary mixtures, which were related hydrocarbon emissions, fossil fuel combustion, dust, oxidized reduced sulfur compounds. Concentration...

10.1021/acs.est.0c06055 article EN Environmental Science & Technology 2020-11-13

We introduce a method to quantify upwind contributions concentrations of atmospheric pollutants. The Stochastic Lagrangian Apportionment Method (SLAM) carries out the following: (1) account for chemical transformations and depositional losses; (2) incorporate effects turbulent dispersion; (3) simulate locations sources with high spatial temporal resolution; (4) minimize impact from numerical diffusion. SLAM accomplishes these four features by using time-reversed particle dispersion model...

10.1021/es505603v article EN Environmental Science & Technology 2014-12-01

Abstract. A bi-directional air-surface exchange scheme for atmospheric ammonia was incorporated into the Stochastic Time-Inverted Lagrangian Transport air quality model (STILT-Chem v0.8). STILT-Chem v0.8 then applied to simulate concentrations at 53 measurement sites in province of Ontario, Canada a six-month period from 1 June 30 November 2006. In addition scheme, two uni-directional dry deposition schemes were tested. Comparisons modeled against observations show that all three can...

10.5194/gmdd-6-6075-2013 preprint EN cc-by 2013-11-29

Polycyclic aromatic hydrocarbons (PAHs) pose a health risk as hazardous air pollutants, with nitrated PAHs (nitro-PAHs) being notably more toxic. However, limited research has explored how spatial PAH and nitro-PAH concentrations have evolve over time the specific impact of traffic emissions on ambient levels.This study investigates effects decreasing anthropogenic traffic-related both using high-resolution regional chemical transport model. The introduces new species, 2-Nitrofluoranthene...

10.5194/egusphere-egu24-13092 preprint EN 2024-03-08

Ambient polycyclic aromatic hydrocarbons (PAHs) are a class of toxicologically important and understudied air pollutants. Epidemiologic evidence suggests that chronic exposure to PAHs increases breast cancer risk; however, there few studies in nonoccupational settings focus on early-onset diagnoses.

10.1097/ee9.0000000000000333 article EN cc-by-nc-nd Environmental Epidemiology 2024-10-01

Abstract. Robust estimates of regional-scale terrestrial CO2 exchange are needed to support carbon management policies and improve the predictive ability models representing carbon-climate feedbacks. Large discrepancies remain, however, both among between flux from atmospheric inverse biosphere models. Improved that provide robust at sufficiently fine spatial scales could prove especially useful for monitoring efforts, while also serving as a validation tool process-based assumptions in A...

10.5194/bgd-8-6775-2011 article EN cc-by 2011-07-11
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