24 results on '"Philip K, Hopke"'
Search Results
2. Source apportionment of PM
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Jieun, Park, Hyewon, Kim, Youngkwon, Kim, Jongbae, Heo, Sang-Woo, Kim, Kwonho, Jeon, Seung-Muk, Yi, and Philip K, Hopke
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Air Pollutants ,China ,Coal ,Nitrates ,Seoul ,Sulfates ,Beijing ,Republic of Korea ,Particulate Matter ,Seasons ,Environmental Monitoring ,Vehicle Emissions - Abstract
East Asian countries experience severe air pollution owing to their rapid development and urbanization induced by substantial economic activities. South Korea and China are among the most polluted East Asian countries with high mass concentrations of PM
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- 2021
3. Source apportionment of particle number concentrations: A global review
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Philip K. Hopke, Yinchang Feng, and Qili Dai
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Air Pollutants ,Environmental Engineering ,Environmental Chemistry ,Particulate Matter ,Particle Size ,Pollution ,Waste Management and Disposal ,Environmental Monitoring ,Vehicle Emissions - Abstract
There are strong indications that exposure to ultrafine particles (UFP) (mobility diameters ≤100 nm) can induce adverse health effects. UFP can be present in the atmosphere through direct emissions such as from motor vehicles or through new particle formation events. To be able to develop control strategies or to provide source specific exposure metrics, it is possible to perform source apportionments using particle number size distributions. Thus, this study has searched the literature for all papers reporting source apportionments based on particle size distributions and compiled them into a database of all published studies. Typically reported sources include nucleation, several traffic sources, space heating, secondary inorganic aerosol, and particles associated with oxidants as represented by ozone. Nucleation and traffic typically dominated the particle number concentrations.
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- 2021
4. Air quality in Canadian port cities after regulation of low-sulphur marine fuel in the North American Emissions Control Area
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Angelos T. Anastasopolos, Hui Peng, Mathieu Rouleau, Paul-Michel Farah, Mark D. Gibson, Aman Dheri, Tim Shin, Ryan Kulka, Philip K. Hopke, Navin Sundar, and Uwayemi Sofowote
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Canada ,Environmental Engineering ,010504 meteorology & atmospheric sciences ,Air pollution ,Scrubber ,010501 environmental sciences ,medicine.disease_cause ,complex mixtures ,01 natural sciences ,chemistry.chemical_compound ,Environmental protection ,Air Pollution ,medicine ,Environmental Chemistry ,Humans ,Cities ,Waste Management and Disposal ,Air quality index ,Sulfur dioxide ,0105 earth and related environmental sciences ,Aged ,Pollutant ,Fuel oil ,Particulates ,Pollution ,chemistry ,Control area ,Environmental science ,Sulfur ,Environmental Monitoring - Abstract
Large marine vessels have historically used high-sulphur (S) residual fuel oil (RFO), with substantial airborne releases of sulphur dioxide (SO₂) and fine particulate matter (PM2.5) enriched in vanadium (V), nickel (Ni) and other air pollutants. To address marine shipping air pollution, Canada and the United States have jointly implemented a North American Emissions Control Area (NA ECA) within which ships are regulated to use lower-sulphur marine fuel or equivalent SO2 scrubbers (i.e., 3.5% maximum fuel S reduced to 1% S in 2012 and 0.1% S in 2015). To investigate the effects of these regulations on local air quality, we examined changes in air pollutant (SO₂, PM2.5, NO₂, O₃), and related PM2.5 components (V, Ni, sulphate) concentrations over 2010-2016 at the Canadian port cities of Halifax, Vancouver, Victoria, Montreal, and Quebec City. SO2 concentrations showed large statistically significant decreases at all sites (-28% to -83% mean hourly change), with the largest improvements in the coastal cities when the 0.1% fuel S regulation took effect. Statistically significant PM2.5 but smaller fractional reductions were also observed (-7% to -37% mean hourly change), reflecting the importance of non-marine PM sources. RFO marker species V and Ni in PM2.5 dramatically declined following regulation implementation, consistent with decreased RFO use likely indicating the switch to low-S distillate fuel oil rather than exhaust scrubbers for initial compliance. Significant changes in other pollutants with non-marine sources (NO2, O3) were not contemporaneous with the regulatory timeline. The large SO2 improvements in the port cities have reduced 1-h concentrations to
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- 2021
5. PET-microplastics as a vector for heavy metals in a simulated plant rhizosphere zone
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Philip K. Hopke, Sajjad Abbasi, Ravi Naidu, Behnam Keshavarzi, Farid Moore, Patryk Oleszczuk, Javad Karimi, and Mohammad Mahmudur Rahman
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Pollutant ,Human food ,Rhizosphere ,Microplastics ,Environmental Engineering ,010504 meteorology & atmospheric sciences ,Chemistry ,Heavy metals ,010501 environmental sciences ,Contamination ,01 natural sciences ,Pollution ,Adsorption ,Desorption ,Environmental chemistry ,Environmental Chemistry ,Waste Management and Disposal ,0105 earth and related environmental sciences - Abstract
Although microplastics (MPs) are ubiquitous contaminants in different ecosystems, their interactions with other pollutants including heavy metals remain relatively unknown. Wheat is an important grain that makes the basis of human food in many parts of the world. Thus, pollutants that affect its production are important subjects of study. This research focuses on the possible effects of the transport of the adsorbed heavy metals onto MPs to the roots of growing wheat. The adsorption of three heavy metals (Pb, Cd, and Zn) onto PET particles was examined. Pb and Cd were selected because they are known to be toxic, while Zn is an essential nutrient for plants. Adsorption experiments were performed using 1 g of PET-MP particles in 20 ml of five different concentrations of each individual element (Pb, Cd, and Zn) (denoted as S-elements). To investigate the antagonistic and synergistic effects of these elements on each other, they were studied collectively with all 3 elements present (denoted as C-elements). Desorption experiments were then performed for three scenarios in which the wheat rhizosphere zone was simulated. Generally, the concentration of the investigated heavy metals adsorption on polyethylene terephthalate (PET) decreased in the order: S-Cd > S-Zn > S-Pb and C-Zn > T-Cd > C-Pb. PET particles exposed to Zn, Cd, and Pb solution adsorbed from 7.2 to 8.5%, 5.3 to 9.8%, and 29.8 to 68.5% of the initial heavy metals concentration, respectively. 11.3 to 15.2%, 12.5 to 23.35%, and 5.5 to 33.6% of the initially adsorbed Zn, Cd, and Pb were desorbed in the wheat rhizosphere zone in the three defined scenarios, respectively. The results show that PET particles can act as a vector in transferring heavy metals to the rhizosphere zone.
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- 2020
6. Improving apportionment of PM
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Qili, Dai, Philip K, Hopke, Xiaohui, Bi, and Yinchang, Feng
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Rotational ambiguity in factor analyses prevents users from obtaining accurate source apportionment results. The rotational space in positive matrix factorization (PMF) can be reduced by constraining the solution with a prioriinformation such as source profiles. However, the only prior report on constraints using information on the source contributions was their use to ensure compatibility in the simultaneous analyses of PM
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- 2020
7. Hybrid multiple-site mass closure and source apportionment of PM
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Mauro, Masiol, Stefania, Squizzato, Gianni, Formenton, Md Badiuzzaman, Khan, Philip K, Hopke, Athanasios, Nenes, Spyros N, Pandis, Laura, Tositti, Francesca, Benetello, Flavia, Visin, and Bruno, Pavoni
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This study investigates the major chemical components, particle-bound water content, acidity (pH), and major potential sources of PM
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- 2019
8. Speciation of organic fractions does matter for aerosol source apportionment. Part 3: Combining off-line and on-line measurements
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Yunjiang Zhang, Nicolas Bonnaire, Olivier Favez, Uwayemi Sofowote, Eric Villenave, Philip K. Hopke, Valérie Gros, Alexandre Albinet, Emilie Perraudin, Deepchandra Srivastava, Jean-Eudes Petit, Institut National de l'Environnement Industriel et des Risques (INERIS), Environnements et Paléoenvironnements OCéaniques (EPOC), Observatoire aquitain des sciences de l'univers (OASU), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Ontario Ministry of the Environment and Climate Change, Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY, USA, Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA, European Project: 654109,H2020,H2020-INFRAIA-2014-2015,ACTRIS-2(2015), UMR 5805 Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
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Pollution ,Aerosol chemical speciation monitor (ACSM) ,Environmental Engineering ,Source apportionment ,010504 meteorology & atmospheric sciences ,media_common.quotation_subject ,010501 environmental sciences ,01 natural sciences ,GEOF ,Environmental Chemistry ,[CHIM]Chemical Sciences ,Biomass burning ,Waste Management and Disposal ,0105 earth and related environmental sciences ,Time synchronization ,media_common ,Particulate matter (PM) ,Secondary organic aerosol (SOA) ,Chemical speciation ,Molecular markers ,Time resolution ,Aerosol ,13. Climate action ,Environmental chemistry ,Mass spectrum ,Environmental science ,Off line - Abstract
International audience; he present study proposes an advanced methodology to refine the source apportionment of organic aerosol (OA). This methodology is based on the combination of offline and online datasets in a single Positive Matrix Factorization (PMF) analysis using the multilinear engine (ME-2) algorithm and a customized time synchronization procedure. It has been applied to data from measurements conducted in the Paris region (France) during a PM pollution event in March 2015. Measurements included OA ACSM (Aerosol Chemical Speciation Monitor) mass spectra and specific primary and secondary organic molecular markers from PM10 filters on their original time resolution (30 min for ACSM and 4 h for PM10 filters). Comparison with the conventional PMF analysis of the ACSM OA dataset (PMF-ACSM) showed very good agreement for the discrimination between primary and secondary OA fractions with about 75% of the OA mass of secondary origin. Furthermore, the use of the combined datasets allowed the deconvolution of 3 primary OA (POA) factors and 7 secondary OA (SOA) factors. A clear identification of the source/origin of 54% of the total SOA mass could be achieved thanks to specific molecular markers. Specifically, 28% of that fraction was linked to combustion sources (biomass burning and traffic emissions). A clear identification of primary traffic OA was also obtained using the PMF-combined analysis while PMF-ACSM only gave a proxy for this OA source in the form of total hydrocarbon-like OA (HOA) mass concentrations. In addition, the primary biomass burning-related OA source was explained by two OA factors, BBOA and OPOA-like BBOA. This new approach has showed undeniable advantages over the conventional approaches by providing valuable insights into the processes involved in SOA formation and their sources. However, the origins of highly oxidized SOA could not be fully identified due to the lack of specific molecular markers for such aged SOA.
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- 2019
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9. Changes in the acute response of respiratory diseases to PM
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Philip K, Hopke, Daniel, Croft, Wangjian, Zhang, Shao, Lin, Mauro, Masiol, Stefania, Squizzato, Sally W, Thurston, Edwin, van Wijngaarden, Mark J, Utell, and David Q, Rich
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Adult ,Aged, 80 and over ,Male ,Air Pollutants ,Incidence ,New York ,Environmental Exposure ,Middle Aged ,Asthma ,Hospitalization ,Pulmonary Disease, Chronic Obstructive ,Young Adult ,Air Pollution ,Humans ,Female ,Particulate Matter ,Emergency Service, Hospital ,Aged - Abstract
Prior studies reported that exposure to increased concentrations of fine particulate matter (PM
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- 2019
10. Sources of humic-like substances (HULIS) in PM
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Xinghua, Li, Kaiqiang, Yang, Junzan, Han, Qi, Ying, and Philip K, Hopke
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Recent work has identified the presence of humic-like substances (HULIS) in ambient fine particulate matter (PM
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- 2018
11. Spatial-temporal variations of summertime ozone concentrations across a metropolitan area using a network of low-cost monitors to develop 24 hourly land-use regression models
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Stefania Squizzato, David Chalupa, Philip K. Hopke, David Q. Rich, and Mauro Masiol
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Environmental Engineering ,Ozone ,010504 meteorology & atmospheric sciences ,Settore MED/42 - Igiene Generale e Applicata ,Combined use ,010501 environmental sciences ,Atmospheric sciences ,Land use regression ,01 natural sciences ,Land use regression model ,Article ,Air quality monitoring ,Ambient ozone ,chemistry.chemical_compound ,Semiconductor gas sensor, Ozone, Urban air pollution, Air pollution exposure, Land use regression model ,Environmental Chemistry ,Urban air pollution ,Waste Management and Disposal ,Settore CHIM/12 - Chimica dell'Ambiente e dei Beni Culturali ,0105 earth and related environmental sciences ,Morning ,Semiconductor gas sensor ,Elevation ,Pollution ,Metropolitan area ,chemistry ,Settore GEO/08 - Geochimica e Vulcanologia ,Air pollution exposure ,Environmental science - Abstract
Ten relatively-low-cost ozone monitors (Aeroqual Series 500 with OZL ozone sensor) were deployed to assess the spatial and temporal variability of ambient ozone concentrations across residential areas in the Monroe County, New York from June to October 2017. The monitors were calibrated in the laboratory and then deployed to a local air quality monitoring site where they were compared to the federal equivalent method values. These correlations were used to correct the measured ozone concentrations. The values were also used to develop hourly land use regression models (LUR) based on the deletion/substitution/addition (D/S/A) algorithm that can be used to predict the spatial and temporal concentrations of ozone at any hour of a summertime day and given location in Monroe County. Adjusted R2 values were high (average 0.83) with the highest adjusted R2 for the model between 8 and 9 AM (i.e. 1–2 h after the peak of primary emissions during the morning rush hours). Spatial predictors with the highest positive effects on ozone estimates were high intensity developed areas, low and medium intensity developed areas, forests + shrubs, average elevation, Interstate + highways, and the annual average vehicular daily traffic counts. These predictors are associated with potential emissions of anthropogenic and biogenic precursors. Maps developed from the models exhibited reasonable spatial and temporal patterns, with low ozone concentrations overnight and the highest concentrations between 11 AM and 5 PM. The adjusted R2 between the model predictions and the measured values varied between 0.79 and 0.87 (mean = 0.83). The combined use of the network of low-cost monitors and LUR modeling provide useful estimates of intraurban ozone variability and exposure estimates that will be used in future epidemiological studies.
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- 2018
12. Ambient black carbon particulate matter in the coal region of Dhanbad, India
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Chuanlong Zhou, Jay R. Turner, Philip K. Hopke, A. S. Panicker, Pargat Singh, S. Singh, and Suresh Tiwari
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Environmental Engineering ,010504 meteorology & atmospheric sciences ,business.industry ,Global warming ,Biomass ,010501 environmental sciences ,Radiative forcing ,Particulates ,Atmospheric sciences ,medicine.disease_cause ,01 natural sciences ,Pollution ,Soot ,Aerosol ,Atmosphere ,Climatology ,medicine ,Environmental Chemistry ,Environmental science ,Coal ,business ,Waste Management and Disposal ,0105 earth and related environmental sciences - Abstract
Light-absorbing, atmospheric particles have gained greater attention in recent years because of their direct and indirect impacts on regional and global climate. Atmospheric black carbon (BC) aerosol is a leading climate warming agent, yet uncertainties in the global direct aerosol radiative forcing remain large. Based on a year of aerosol absorption measurements at seven wavelengths, BC concentrations were investigated in Dhanbad, the coal capital of India. Coal is routinely burned for cooking and residential heat as well as in small industries. The mean daily concentrations of ultraviolet-absorbing black carbon measured at 370nm (UVBC) and black carbon measured at 880nm (BC) were 9.8±5.7 and 6.5±3.8μgm-3, respectively. The difference between UVBC and BC, Delta-C, is an indicator of biomass or residential coal burning and averaged 3.29±4.61μgm-3. An alternative approach uses the Ǻngstrom Exponent (AE) to estimate the biomass/coal and traffic BC concentrations. Biomass/coal burning contributed ~87% and high temperature, fossil-fuel combustion contributed ~13% to the annual average BC concentration. The post-monsoon seasonal mean UVBC values were 10.9μgm-3 and BC of 7.2μgm-3. Potential source contribution function analysis showed that in the post-monsoon season, air masses came from the central and northwestern Indo-Gangetic Plains where there is extensive agricultural burning. The mean winter UVBC and BC concentrations were 15.0 and 10.1μgm-3, respectively. These higher values were largely produced by local sources under poor dispersion conditions. The direct radiative forcing (DRF) due to UVBC and BC at the surface (SUR) and the top of the atmosphere (TOA) were calculated. The mean atmospheric heating rates due to UVBC and BC were estimated to be 1.40°Kday-1 and 1.18°Kday-1, respectively. This high heating rate may affect the monsoon circulation in this region.
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- 2017
13. Air pollution at Rochester, NY: Long-term trends and multivariate analysis of upwind SO
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Fereshteh, Emami, Mauro, Masiol, and Philip K, Hopke
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There have been many changes in the air pollutant sources in the northeastern United States since 2001. To assess the effect of these changes, trend analyses of the monthly average values were performed on PM
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- 2017
14. Review of factors impacting emission/concentration of cooking generated particulate matter
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Philip K. Hopke, Soudabeh Gorjinezhad, Mehdi Amouei Torkmahalleh, and Hediye Sumru Unluevcek
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Environmental Engineering ,010504 meteorology & atmospheric sciences ,Cooking oil ,010501 environmental sciences ,Controlled studies ,01 natural sciences ,law.invention ,Human health ,law ,otorhinolaryngologic diseases ,Environmental Chemistry ,Humans ,Cooking ,Particle Size ,Household Articles ,Waste Management and Disposal ,0105 earth and related environmental sciences ,Waste management ,technology, industry, and agriculture ,food and beverages ,Source surface ,Particulates ,Pollution ,Ventilation ,Stove ,Air Pollution, Indoor ,Ventilation (architecture) ,Environmental science ,Particulate Matter ,Environmental Monitoring - Abstract
Studies have shown that exposure to particulate matter (PM) emitted while cooking is related to adverse human health effects. The level of PM emissions during cooking varies with several factors. This study reviewed controlled studies available in the cooking PM emissions literature, and found that cooking method, type and quality of the energy (heating) source, burner size, cooking pan, cooking oil, food, additives, source surface area, cooking temperature, ventilation and position of the cooking pan on the stove are influential factors affecting cooking PM emission rates and resulting concentrations. Opportunities to reduce indoor PM concentrations during cooking are proposed. Minor changes in cooking habits and manner might result in a substantial reduction in the cook's exposure to the cooking PM. Finally, the need for additional studies is discussed.
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- 2016
15. Tethered balloon-born and ground-based measurements of black carbon and particulate profiles within the lower troposphere during the foggy period in Delhi, India
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Sachin D. Ghude, D. M. Chate, Vijay K. Soni, Philip K. Hopke, Atul Srivastava, P.D. Safai, A. S. Panickar, Peter Tunved, Suresh Tiwari, S. D. Attri, Kaushar Ali, P.S. Prakasa Rao, Deewan Singh Bisht, Thara Prabhakaran, Rajan K. Chakrabarty, and Umesh Chandra Dumka
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Environmental Engineering ,010504 meteorology & atmospheric sciences ,Forcing (mathematics) ,010501 environmental sciences ,Particulates ,Radiative forcing ,Atmospheric sciences ,01 natural sciences ,Pollution ,Aerosol ,Troposphere ,Boundary layer ,Climatology ,Environmental Chemistry ,Environmental science ,Absorption (electromagnetic radiation) ,Waste Management and Disposal ,Air quality index ,0105 earth and related environmental sciences - Abstract
The ground and vertical profiles of particulate matter (PM) were mapped as part of a pilot study using a Tethered balloon within the lower troposphere (1000m) during the foggy episodes in the winter season of 2015-16 in New Delhi, India. Measurements of black carbon (BC) aerosol and PM
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- 2016
16. Source apportionment of size resolved particulate matter at a European air pollution hot spot
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Petra Pokorná, Philip K. Hopke, Miroslav Klán, and Jan Hovorka
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Pollution ,Environmental Engineering ,Airshed ,media_common.quotation_subject ,Air pollution ,Coal combustion products ,medicine.disease_cause ,Combustion ,Air Pollution ,medicine ,Environmental Chemistry ,Coal ,Waste Management and Disposal ,media_common ,Vehicle Emissions ,Aerosols ,Air Pollutants ,business.industry ,Particulates ,Aerosol ,Environmental chemistry ,Environmental science ,Particulate Matter ,Seasons ,business ,Environmental Monitoring - Abstract
Positive Matrix Factorization-PMF was applied to hourly resolved elemental composition of fine (PM0.15-1.15) and coarse (PM1.15-10) aerosol particles to apportion their sources in the airshed of residential district, Ostrava-Radvanice and Bartovice in winter 2012. Multiple-site measurement by PM2.5 monitors complements the source apportionment. As there were no statistical significant differences amongst the monitors, the source apportionment derived for the central site data is expected to apply to whole residential district. The apportioned sources of the fine aerosol particles were coal combustion (58.6%), sinter production-hot phase (22.9%), traffic (15%), raw iron production (3.5%), and desulfurization slag processing (
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- 2014
17. An evaluation of direct measurement techniques for mercury dry deposition
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Thomas M. Holsen, Philip K. Hopke, Soon Onn Lai, and Jiaoyan Huang
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MERCURE ,Air Movements ,Air Pollutants ,Environmental Engineering ,Atmosphere ,Trace element ,Mineralogy ,chemistry.chemical_element ,Fresh Water ,Mercury ,Particulates ,Pollution ,Mercury (element) ,Aerosol ,Ambient air ,Deposition (aerosol physics) ,Flux (metallurgy) ,chemistry ,Models, Chemical ,Environmental chemistry ,Environmental Chemistry ,Waste Management and Disposal ,Environmental Monitoring - Abstract
In this project, several surrogate surfaces designed to directly measure Hg dry deposition were investigated. Static water surrogate surfaces (SWSS) containing deionized (DI), acidified water, or salt solutions, and a knife-edge surrogate surface (KSS) using quartz fiber filters (QFF), KCl-coated QFF and gold-coated QFF were evaluated as a means to directly measure mercury (Hg) dry deposition. The SWSS was hypothesized to collect deposited elemental mercury (Hg 0 ), reactive gaseous/oxidized mercury (RGM), and mercury associated with particulate matter (Hg (p) ) while the QFF, KCl-coated QFF, and gold-coated QFF on the KSS were hypothesized to collect Hg (p) , RGM + Hg (p) , and Hg 0 + RGM + Hg (p) , respectively. The Hg flux measured by the DI water was significantly smaller than that captured by the acidified water, probably because Hg 0 was oxidized to Hg 2+ which stabilized the deposited Hg and decreased mass transfer resistance. Acidified BrCl, which efficiently oxidizes Hg 0 , captured significantly more Hg than other solutions. However, of all collection media, gold-coated QFFs captured 6 to 100 times greater Hg mass than the other surfaces, probably because there is no surface resistance for Hg 0 deposition to gold surfaces. In addition, the Hg 0 concentration is usually 100–1000 times higher than RGM and Hg (p) . For all other media, co-located samples were not significantly different, and the combination of daytime plus nighttime results were comparable to 24-h samples, implying that Hg 0 , RGM and Hg (p) were not released after they deposited nor did the surfaces reach equilibrium with the atmosphere. Based on measured Hg ambient air concentrations and fluxes, dry deposition velocities of RGM and Hg 0 to DI water and other surfaces were 5.6 ± 5.4 and 0.005–0.68 cm s −1 in this study, respectively. These results suggest surrogate surfaces can be used to measure Hg dry deposition; however, extrapolating the results to natural surface can be challenging.
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- 2010
18. Seasonal variations of elemental carbon in urban aerosols as measured by two common thermal-optical carbon methods
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Jay R. Turner, Min-Suk Bae, James J. Schauer, and Philip K. Hopke
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Total organic carbon ,Aerosols ,Environmental Engineering ,Meteorology ,Air pollution ,chemistry.chemical_element ,Particulates ,Seasonality ,medicine.disease ,medicine.disease_cause ,Pollution ,Carbon ,Aerosol ,chemistry.chemical_compound ,chemistry ,Environmental chemistry ,medicine ,Environmental Chemistry ,Environmental science ,Seasons ,Sulfate ,Organic Chemicals ,Elemental carbon ,Waste Management and Disposal - Abstract
Two commonly employed laboratory-based elemental carbon (EC) and organic carbon (OC) thermal/optical methods for the analysis of ambient particulate matter were used to analyze 709 twenty-four hour integrated PM 2.5 samples along with 76 field blanks from the St. Louis-Midwest Supersite in East St. Louis, Illinois. The two laboratory ECOC methods were the Aerosol Characterization Experiment—Asia (ACE-Asia) method based on National Institute of Occupational Safety and Health (NIOSH 5040) method and the Interagency Monitoring of Protected Visual Environments (IMPROVE) protocol. As in previous intercomparisons between these two methods, there was excellent agreement for total carbon (i.e. sum of EC and OC), but significant differences were observed in the split between the measured EC and OC. The 709 daily PM 2.5 samples spanned a time series of two years that allowed an assessment of seasonal relationships between the EC reported by the two methods. Seasonal average ACE-Asia and IMPROVE EC concentration values were highest in the fall and lowest in the spring. Differences between the seasonal average IMPROVE and ACE-Asia EC concentration values were about 40% greater in summer compared to winter. While IMPROVE EC values were always larger than ACE-Asia EC, the EC difference between these methods exhibited a strong seasonal variation with largest differences occurring in the spring and especially summer with the smallest differences in the fall and winter. Seasonal average EC differences (IMPROVE − ACE-Asia) were anti-correlated with molecular markers for biomass burning and mobile source emissions that had wintertime maximum concentrations. The EC difference between methods did have a moderate positive correlation with indicators of secondary organic aerosol and sulfate suggesting that oxidized organic aerosol associated with atmospheric processing or other secondary components of ambient aerosol could be associated with the seasonal differences between these EC measurements.
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- 2009
19. Comparison of sources of submicron particle number concentrations measured at two sites in Rochester, NY
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Philip K. Hopke, David Chalupa, John Kasumba, and Mark J. Utell
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Environmental Engineering ,Meteorology ,Particle number ,Air pollution ,New York ,Seasonality ,Atmospheric sciences ,medicine.disease ,medicine.disease_cause ,Pollution ,Aerosol ,Scanning mobility particle sizer ,Ultrafine particle ,Particle-size distribution ,medicine ,Environmental Chemistry ,Environmental science ,Environmental Pollutants ,Particle size ,Particle Size ,Waste Management and Disposal ,Probability - Abstract
Sources contributing to the submicron particles (100-470 nm) measured between January 2002 and December 2007 at two different New York State Department of Environmental Conservation (NYS DEC) sites in Rochester, NY were identified and apportioned using a bilinear receptor model, positive matrix factorization (PMF). Measurements of aerosol size distributions and number concentrations for particles in the size range of 10-500 nm have been made since December 2001 to date in Rochester. The measurements are being made using a scanning mobility particle sizer (SMPS) consisting of a DMA and a CPC (TSI models 3071 and 3010, respectively). From December 2001 to March 2004, particle measurements were made at the NYS DEC site in downtown Rochester, but it was moved to the eastside of Rochester in May 2004. Each measurement period was divided into three seasons i.e., winter (December, January, and February), summer (June, July, and August), and the transitional periods (March, April, May, September, October, and November) so as to avoid experimental uncertainty resulting from too large season-to-season variability in ambient temperature and solar photon intensity that would lead to unstable/non-stationary size distributions. Therefore, the seasons were analyzed independently for possible sources. Ten sources were identified at both sites and these include traffic, nucleation, residential/commercial heating, industrial emissions, secondary nitrate, ozone- rich secondary aerosol, secondary sulfate, regionally transported aerosol, and a mixed source of nucleation and traffic. These results show that the measured total outdoor particle number concentrations in Rochester generally vary with similar temporal patterns, suggesting that the central monitoring site data can be used to estimate outdoor exposure in other parts of the city.
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- 2008
20. Urban air quality in the Asian region
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Philip K, Hopke, David D, Cohen, Bilkis A, Begum, Swapan K, Biswas, Bangfa, Ni, Gauri Girish, Pandit, Muhayatun, Santoso, Yong-Sam, Chung, Shamsiah Abd, Rahman, Mohd Suhaimi, Hamzah, Perry, Davy, Andreas, Markwitz, Shahida, Waheed, Naila, Siddique, Flora L, Santos, Preciosa Corazon B, Pabroa, Manikkuwadura Consy Shirani, Seneviratne, Wanna, Wimolwattanapun, Supamatthree, Bunprapob, Thu Bac, Vuong, Pham, Duy Hien, and Andrzej, Markowicz
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Environmental Engineering ,Asia ,Urban Population ,International Cooperation ,Air pollution ,Legislation ,medicine.disease_cause ,Urban area ,Air Pollution ,Environmental monitoring ,medicine ,Environmental Chemistry ,Humans ,East Asia ,Waste Management and Disposal ,Environmental planning ,Air quality index ,geography ,Air Pollutants ,geography.geographical_feature_category ,Environmental engineering ,Urban Health ,Particulates ,Pollution ,Megacity ,Environmental science ,Environmental Monitoring - Abstract
Over the past decade, member states of the Regional Co-operation Agreement (RCA), an intergovernmental agreement for the East Asia and Pacific region under the auspices of the IAEA with the assistance of international organizations and financial institutions such as the World Bank and the Asian Development Bank, have started to set in place policies and legislation for air pollution abatement. To support planning and evaluate the effectiveness of control programs, data are needed that characterizes urban air quality. The focus of this measurement program describe in this report is on size segregated particulate air pollution. Such airborne particulate matter can have a significant impact on human health and urban visibility. These data provide the input to receptor models that may permit the mitigation of these impacts by identification and quantitative apportionment of the particle sources. The aim of this report is to provide an overview of the measurements of concentrations and composition of particulate air pollution in two size fractions across the participating countries. For many of the large cities in this region, the measured particulate matter concentrations are greater than air quality standards or guidelines that have been adopted in developed countries.
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- 2007
21. Sources identification of the atmospheric aerosol at urban and suburban sites in Indonesia by positive matrix factorization
- Author
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L Diah Dwiana, Achmad Hidayat, Philip K. Hopke, and Muhayatun Santoso
- Subjects
geography ,Environmental Engineering ,food.ingredient ,geography.geographical_feature_category ,Sea salt ,Air pollution ,Environmental engineering ,Particulates ,Urban area ,medicine.disease_cause ,Atmospheric sciences ,complex mixtures ,Pollution ,Aerosol ,food ,medicine ,Environmental Chemistry ,Environmental science ,Suburban area ,Neutron activation analysis ,Biomass burning ,Waste Management and Disposal - Abstract
Samples of fine and coarse fractions of airborne particulate matter were collected in Indonesia (west central Java) at an urban site in Bandung and in suburban Lembang from January 2002 to December 2004. The samples were collected using a Gent stacked filter sampler in two size fractions of
- Published
- 2007
22. Characterization of fine particle sources in the Great Smoky Mountains area
- Author
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Eugene Kim and Philip K. Hopke
- Subjects
Environmental Engineering ,Diesel exhaust ,Haze ,Air pollution ,Mineral dust ,medicine.disease_cause ,Atmospheric sciences ,chemistry.chemical_compound ,medicine ,Environmental Chemistry ,Sulfate ,Waste Management and Disposal ,Air quality index ,Vehicle Emissions ,Air Pollutants ,Nitrates ,Sulfates ,Environmental engineering ,Dust ,Particulates ,Pollution ,Tennessee ,Carbon ,Aerosol ,chemistry ,Metals ,Environmental science ,Environmental Monitoring - Abstract
A source apportionment study to characterize sources of fine particles in the Great Smoky Mountains area was conducted analyzing ambient PM(2.5) (particulate matter< or =2.5 microm in aerodynamic diameter) speciation data collected at a Interagency Monitoring of Protected Visual Environments (IMPROVE) monitoring site. A total of 1442 samples collected between March 1988 and December 2003 analyzed for 30 elemental species were analyzed with the application of the positive matrix factorization (PMF). Eight major sources were extracted: summer-high secondary sulfate (55%), carbon-rich secondary sulfate (16%), summer-low secondary sulfate (2%), gasoline vehicle emissions (13%), diesel emissions (1%), airborne soil (6%), industry (5%), and secondary nitrate (2%). The contributions from the carbon-rich secondary sulfate particles are likely a combination of local and regional influences of the biogenic as well as anthropogenic secondary particles. The compositional profiles for gasoline vehicle and diesel emissions are similar to those identified in other US areas. Backward trajectories indicate that the high impacts of airborne soil were likely caused by Asian and Saharan dust storms. This study would assist in the implementation plan development for attaining the air quality standards for PM(2.5), regional haze rule planning, and source-specific community epidemiology.
- Published
- 2005
23. Temporal variations and spatial distribution of ambient PM2.2 and PM10 concentrations in Dhaka, Bangladesh
- Author
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Swapan K. Biswas, Philip K. Hopke, and Bilkis A. Begum
- Subjects
Environmental Engineering ,Air pollution ,Public Policy ,medicine.disease_cause ,Urban area ,medicine ,Environmental Chemistry ,Biomass ,Particle Size ,Waste Management and Disposal ,Air quality index ,Vehicle Emissions ,Pollutant ,geography ,Air Pollutants ,Bangladesh ,geography.geographical_feature_category ,business.industry ,Fossil fuel ,Environmental engineering ,Particulates ,Seasonality ,medicine.disease ,Pollution ,Aerosol ,Environmental science ,business ,Environmental Monitoring - Abstract
Concentrations and characteristics of airborne particulate matter (PM 10 , PM 2.2 and BC) on air quality have been studied at two air quality-monitoring stations in Dhaka, the capital of Bangladesh. One site is at the Farm Gate area, a hot spot with very high pollutant concentrations because of its proximity to major roadways. The other site is at a semi-residential area located at the Atomic Energy Centre, Dhaka Campus, (AECD) with relatively less traffic. The samples were collected using a ‘Gent’ stacked filter unit in two fractions of 0–2.2 μm and 2.2–10 μm sizes. Samples of fine (PM 2.2 ) and coarse (PM 2.2–10 ) airborne particulate matter fractions collected from 2000 to 2003 were studied. It has been observed that fine particulate matter has a decreasing trend, from prior year measurements, because of Government policy interventions like phase-wise plans to take two-stroke three-wheelers off the roads in Dhaka and finally banned from January 1, 2003. Other policy interventions were banning of old buses and trucks to ply on Dhaka city promotion of the using compressed natural gas (CNG), introducing air pollution control devices in vehicles, etc. It was found that both local (mostly from vehicular emissions) and possibly some regional emission sources are responsible for high PM 2.2 and BC concentrations in Dhaka. PM 2.2 , PM 2.2–10 and black carbon concentration levels depend on the season, wind direction and wind speed. Transport related emissions are the major source of BC and long-range transportation from fossil fuel related sources and biomass burning could be another substantial source of BC.
- Published
- 2004
24. Reduction of mutagenicity of municipal wastewaters by land treatment
- Author
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Philip K. Hopke, Patricia L. Stapleton, and Michael J. Plewa
- Subjects
Salmonella typhimurium ,Time Factors ,Environmental Engineering ,Mutagen ,medicine.disease_cause ,Waste Disposal, Fluid ,law.invention ,chemistry.chemical_compound ,law ,medicine ,Soil Pollutants ,Environmental Chemistry ,Waste Management and Disposal ,Filtration ,Dichloromethane ,Sewage ,Mutagenicity Tests ,Water Pollution ,fungi ,food and beverages ,Pollution ,Soil contamination ,Solvent ,chemistry ,Wastewater ,Environmental chemistry ,Loam ,Illinois ,Methanol - Abstract
The disposal of complex mixtures such as wastewater on agricultural lands poses known and unknown environmental risks. Mutagens may be introduced into the ecosystem and perhaps concentrated by crop plants or leached into ground water supplies. The purpose of this study was to determine the biological effect of a mutagenic wastewater before and after application to soil. An XAD-8 methanol extract of wastewater from the municipal sewage treatment facility at Sauget, IL, was a potent, direct acting mutagen when assayed with Salmonella typhimurium. One and 3 ml of extract were brought up to 10 ml volumes with water and added to 10 g of sterile or nonsterile native clay loan. These mixtures were incubated at room temperature for 0, 24 and 48 h. After separation of solid and liquid portions by filtration, dichloromethane was added to extract the organic fractions from each component. Solvent extractions were evaporated to dryness under vacuum and brought up in DMSO. Tests for mutagenic activity were conducted using Ames strain TA98. Addition to the soil for greater periods of time decreased the mutagenic activity. The solid component exhibited greater mutagenic activity than the liquid.
- Published
- 1987
- Full Text
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