A5082707858- Air Quality and Health Impacts
- Atmospheric chemistry and aerosols
- Air Quality Monitoring and Forecasting
- Vehicle emissions and performance
- Climate Change and Health Impacts
- Radioactivity and Radon Measurements
- Toxic Organic Pollutants Impact
- Atmospheric and Environmental Gas Dynamics
- Energy and Environment Impacts
- Spectroscopy and Chemometric Analyses
- Atmospheric Ozone and Climate
- Nuclear and radioactivity studies
- Atmospheric aerosols and clouds
- Heavy metals in environment
- Mercury impact and mitigation studies
- Water Quality Monitoring and Analysis
- COVID-19 impact on air quality
- Wind and Air Flow Studies
- Noise Effects and Management
- Nuclear Physics and Applications
- Aerosol Filtration and Electrostatic Precipitation
- Particle Dynamics in Fluid Flows
- Indoor Air Quality and Microbial Exposure
- Radioactive contamination and transfer
- Graphite, nuclear technology, radiation studies
Clarkson University
2016-2025
University of Rochester Medical Center
2016-2025
University of Rochester
2016-2025
Ca' Foscari University of Venice
2024
South China Botanical Garden
2023
Duke University
2023
Johns Hopkins University
2022
Kerman University of Medical Sciences
2020
Hormozgan University of Medical Sciences
2020
Tehran University of Medical Sciences
2020
Abstract Black carbon aerosol plays a unique and important role in Earth's climate system. is type of carbonaceous material with combination physical properties. This assessment provides an evaluation black‐carbon forcing that comprehensive its inclusion all known relevant processes quantitative providing best estimates uncertainties the main terms: direct solar absorption; influence on liquid, mixed phase, ice clouds; deposition snow ice. These effects are calculated models, but when...
Exposure to ambient air pollution is a major risk factor for global disease. Assessment of the impacts on population health and evaluation trends relative other factors requires regularly updated, accurate, spatially resolved exposure estimates. We combined satellite-based estimates, chemical transport model simulations, ground measurements from 79 different countries produce estimates annual average fine particle (PM2.5) ozone concentrations at 0.1° × spatial resolution five-year intervals...
The fine particle (<2.5 μm) composition data from seven National Park Service locations in Alaska for the period 1986 to 1995 was performed using a new type of factor analysis, positive matrix factorization (PMF). This method uses estimates error provide optimum point scaling and permits better treatment missing below detection limit values. Eight source components were obtained sets Northwest Areas Bering Land Bridge sites. Five other Alaskan solutions normalized by aerosol mass...
Aerosol chemical composition data for PM2.5 samples collected during the period from 1988 to 1995 at Underhill, VT, were analyzed. Sulfur and black carbon mass concentrations ranged 0.01 6.5 μg m-3 0.05 2.2 m-3, respectively, while total fine aerosol concentration 0.2 51.1 m-3. Seasonal variations with maxima summer minima in winter/spring observed sulfur concentrations. No annual pattern was carbon. most of other anthropogenic species had winter spring summer. A factor analysis method,...
Data characterizing daily integrated particulate matter (PM) samples collected at the Jefferson Street monitoring site in Atlanta, GA, were analyzed through application of a bilinear positive matrix factorization (PMF) model. A total 662 and 26 variables used for fine particle (particles ≤2.5 µm aerodynamic diameter) (PM2.5 ), 685 15 coarse between 2.5 10 (PM10–2.5 ). Measured PM mass concentrations compositional data as independent variables. To obtain quantitative contributions each...
We and others have shown that increases in particulate air pollutant (PM) concentrations the previous hours days been associated with increased risks of myocardial infarction, but little is known about relationships between pollution specific subsets such as ST-elevation infarction (STEMI) non (NSTEMI). Using data from acute coronary syndrome patients STEMI (n = 338) NSTEMI 339) case-crossover methods, we estimated risk ambient fine particle (<2.5 um) concentrations, ultrafine (10-100 nm)...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTMultielemental characterization of urban roadway dustPhilip K. Hopke, Robert E. Lamb, and David F. S. NatuschCite this: Environ. Sci. Technol. 1980, 14, 2, 164–172Publication Date (Print):February 1, 1980Publication History Published online1 May 2002Published inissue 1 February 1980https://pubs.acs.org/doi/10.1021/es60162a006https://doi.org/10.1021/es60162a006research-articleACS PublicationsRequest reuse permissionsArticle...
Abstract. PM2.5 samples were collected at a centrally located urban monitoring site in Seoul, Korea, every third day from March 2003 to December 2006 and analyzed for their chemical constituents. Sources identified using positive matrix factorization (PMF). A total of 393 obtained during the sampling period, 20 species measured. Nine source categories providing physically realistic profiles interesting insights into contributions ambient mass concentrations. The major contributors secondary...
Electronic cigarettes (e-cigarettes) have earned considerable attention recently as an alternative to smoking tobacco, but uncertainties about their impact on health and indoor air quality resulted in proposals for bans e-cigarette use.To assess potential impacts relating the use of e-cigarettes, a series studies were conducted using e-cigarettes standard tobacco cigarettes.Four different high nicotine e-liquids vaporized two sets experiments by generic 2-piece collect emissions...
Factor analysis utilizes the covariance of compositional variables to separate sources ambient pollutants like particulate matter (PM). However, meteorology causes concentration variations in addition emission rate changes. Conventional positive matrix factorization (PMF) loses information from data because these dilution variations. By incorporating ventilation coefficient, dispersion normalized PMF (DN-PMF) reduces effects. DN-PMF was applied hourly speciated composition a field campaign...
Ultrafine particles (UFP) are suspected of having significant impacts on health. However, there have only been a limited number studies sources UFP compared to larger particles. In this work, we identified and quantified the processes contributing particle size distributions (PNSD) using Positive Matrix Factorization (PMF) at six monitoring stations (four urban background two street canyon) from four European cities: Barcelona, Helsinki, London, Zurich. These cities characterised by...
Abstract. Even though the Arctic is remote, aerosol properties observed there are strongly influenced by anthropogenic emissions from outside Arctic. This particularly true for so-called haze season (January through April). In summer (June September), when atmospheric transport patterns change, and precipitation more frequent, local sources, i.e., natural sources of aerosols precursors, play an important role. Over last few decades, significant reductions in have taken place. At same time a...