Academic literature on the topic 'Fine particulate matter'

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Journal articles on the topic "Fine particulate matter"

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Sakamoto, Kazuhiko. "Fine Particulate Matter (PM2.5)." JAPAN TAPPI JOURNAL 67, no. 12 (2013): 1377–81. http://dx.doi.org/10.2524/jtappij.67.1377.

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Eftim, Sorina E., Jonathan M. Samet, Holly Janes, Aidan McDermott, and Francesca Dominici. "Fine Particulate Matter and Mortality." Epidemiology 19, no. 2 (March 2008): 209–16. http://dx.doi.org/10.1097/ede.0b013e3181632c09.

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Showstack, Randy. "Fine-tuning particulate matter research." Eos, Transactions American Geophysical Union 85, no. 16 (April 20, 2004): 158. http://dx.doi.org/10.1029/eo085i016p00158-05.

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Neas, Lucas M. "Fine particulate matter and cardiovascular disease." Fuel Processing Technology 65-66 (June 2000): 55–67. http://dx.doi.org/10.1016/s0378-3820(99)00076-4.

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Zhang, Renyi, Gehui Wang, Song Guo, Misti L. Zamora, Qi Ying, Yun Lin, Weigang Wang, Min Hu, and Yuan Wang. "Formation of Urban Fine Particulate Matter." Chemical Reviews 115, no. 10 (May 5, 2015): 3803–55. http://dx.doi.org/10.1021/acs.chemrev.5b00067.

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Pope, C. Arden, Aaron J. Cohen, and Richard T. Burnett. "Cardiovascular Disease and Fine Particulate Matter." Circulation Research 122, no. 12 (June 8, 2018): 1645–47. http://dx.doi.org/10.1161/circresaha.118.312956.

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Moolgavkar, Suresh H. "Fine Particulate Matter Pollution and Mortality." Risk Analysis 36, no. 9 (August 11, 2016): 1766–69. http://dx.doi.org/10.1111/risa.12675.

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Fang, Guor-Cheng, Yuh-Shen Wu, Wen-Jhy Lee, Te-Yen Chou, and I.-Chen Lin. "Seasonal variation in concentration and metallic constituents of atmospheric particulates near the western coast of central Taiwan." Toxicology and Industrial Health 22, no. 5 (June 2006): 193–201. http://dx.doi.org/10.1191/0748233706th262oa.

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In addition to determining the concentration and metallic constituents of particulate matter at Taichung Harbor in central Taiwan, this study attempts to characterize the mass, metallic elements, composition and concentrations of total suspended particulates (TSP), fine particles and coarse particles. Statistical approaches, such as the Spearman tests, were also adopted to determine the seasonal variations of concentrations of these pollutants. Experimental results indicate that the mean TSP, fine particulate and coarse particulate concentrations in spring and winter are higher than in summer and autumn on the western coast of central Taiwan. Spearman statistical analysis of metallic elements Mn and Pb showed high concentration coefficients for fine and coarse particulates on the western coast of central Taiwan. The order of mean metallic concentrations in TSP, coarse particulates and fine particles was Fe-Zn-Mg-Cu-Cr-Mn-Pb in TSP, Fe-Cu-Zn-Mg-Mn-Pb-Cr in coarse particulates and Fe-Cu-Mg-Pb-Zn-Mn-Cr in fine particulates.
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Kim, Eun-A. "Particulate Matter (Fine Particle) and Urologic Diseases." International Neurourology Journal 21, no. 3 (September 30, 2017): 155–62. http://dx.doi.org/10.5213/inj.1734954.477.

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Erickson, Britt E. "Technology Solutions: Characterizing fine, airborne particulate matter." Environmental Science & Technology 35, no. 5 (March 2001): 106A—107A. http://dx.doi.org/10.1021/es012301u.

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Dissertations / Theses on the topic "Fine particulate matter"

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Li, Ying. "Improving Public Health through Reducing Fine Particulate Matter Pollution." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/19.

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Choi, Hyun Jin. "How Fine Particulate Matter Modifies Preterm Birth Risks in Korea." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5454.

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Despite the increasing interest in preterm birth risk associated with maternal exposure to the current level of fine particulate matter (PM2.5) in Korea, there is little information on differences in PM2.5 exposure and its impact on preterm birth. This study was designed to examine the effects of Korea's air quality on preterm birth, including the possibility of moderation and mediation. This work was also designed to investigate manipulable factors for PM2.5 exposure. The theoretical framework of this quantitative and observational study included the social ecological theory and systems theory. The conceptual framework of this partially ecologic and retrospective cohort study included the social ecological model and Rothman's sufficient component cause model. Data of 19,371 Korean women who gave birth in 2015 were analyzed by logistic regression and multiple regression, including testing for moderation and mediation. An increase in PM2.5 exposure by 10 μg/m3 in the 3rd week before childbirth increased the likelihood of preterm birth by 6.52 times. Moderation and mediation by PM2.5 did not exist between sociodemographic factors and gestational age but existed between socioeconomic and energy policy factors and gestational age. The most influential factor for PM2.5 exposure was unemployment rate at the organizational level. These results show the need for socioeconomic interventions to reduce PM2.5 exposure more effectively. These �ndings indicate that prenatal care should be addressed with a socioeconomic- and energy-policy-sensitive approach to lower preterm birth due to severe air pollution in Korea. This study has the potential to change people's perceptions of threats from PM2.5 exposure, which could lead to behavior changes.
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Puthenparampil, Koruth Joseph. "Evaluation of Fine Particulate Matter Pollution Sources Affecting Dallas, Texas." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc115142/.

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Dallas is the third largest growing industrialized city in the state of Texas. the prevailing air quality here is highly influenced by the industrialization and particulate matter 2.5µm (PM2.5) has been found to be one of the main pollutants in this region. Exposure to PM2.5 in elevated levels could cause respiratory problems and other health issues, some of which could be fatal. the current study dealt with the quantification and analysis of the sources of emission of PM2.5 and an emission inventory for PM2.5 was assessed. 24-hour average samples of PM2.5 were collected at two monitoring sites under the Texas Commission on Environmental Quality (TCEQ) in Dallas, Dallas convention Centre (CAMS 312) and Dallas Hinton sites (CAMS 60). the data was collected from January 2003 to December 2009 and by using two positive matrix models PMF 2 and EPA PMF the PM2.5 source were identified. 9 sources were identified from CAMS 312 of which secondary sulfate (31% by PMF2 and 26% by EPA PMF) was found to be one of the major sources. Data from CAMS 60 enabled the identification of 8 sources by PMF2 and 9 by EPA PMF. These data also confirmed secondary sulfate (35% by PMF2 and 34% by EPA PMF) as the major source. to substantiate the sources identified, conditional probability function (CPF) was used. the influence of long range transport pollutants such as biomass burns from Mexico and Central America was found to be influencing the region of study and was assessed with the help of potential source contribution function (PSCF) analysis. Weekend/weekday and seasonal analyses were useful in understanding the behavioral pattern of pollutants. Also an inter comparison of the model results were performed and EPA PMF results was found to be more robust and accurate than PMF 2 results.
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Papier, Mark Elliot. "Real-time measurement of on-road fine particulate matter in Atlanta." Thesis, Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22544.

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Particulate matter is increasingly linked to health effects not only for what was previously thought to be just a respiratory problem, but also for the cardiovascular system. Literature not only supports that high particulate matter over long periods of time is correlated to morbidity and mortality due to both cardiovascular and respiratory means, but that high levels of particulate matter, even in short bursts of high concentrations, may be the triggering mechanism for the onset of such problems. Due to automobiles being a prime source of particulate matter, roadway concentrations are often higher than those measured at off-road measurement sites run by various parts of the United States Government. Furthermore, the government run sites are averaged over timescales at a minimum of an hour and at a maximum of a running three-day twenty-four hour length. These are both so long that mesoscale information about the particulate matter, such as short duration high intensity bursts, would be completely removed from the dataset. This study utilizes a real-time portable instrumentation package, which can effectively measure particulate matter concentrations on the roadways of metro Atlanta. Measurements are taken both inside the cabin of a vehicle, which does have an in-cabin filtration system, and on a bicycle ridden along the streets without any form of filtration. These instruments, specifically calibrated handheld particle counters, did indeed find some spikes of particulates above the government s one-hour averages inside the cabin of a vehicle. Arguably more importantly, while riding a bicycle these handheld particle counters also found spikes of particulates approaching six times the amount monitored by the government sites, and several roadway averages that were higher than the off-road averages for the same time.
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Eid, Samer. "Comparison of fine particulate matter pattern between East and West Jerusalem /." [Sedeh Boker, Israel] : Ben-Gurion University of the Negev, 2008. http://aranne5.lib.ad.bgu.ac.il/others/EidSamer.pdf.

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Rinehart, Lynn Rebecca. "The origin of polar organic compounds in ambient fine particulate matter." abstract and full text PDF (free order & download UNR users only), 2005. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3210293.

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Filippi, Alexander [Verfasser]. "EPR Measurements and Redox Chemistry of Fine Particulate Matter / Alexander Filippi." Mainz : Universitätsbibliothek der Johannes Gutenberg-Universität Mainz, 2021. http://d-nb.info/1231433418/34.

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Wallwork, Rachel S. "Ambient Fine Particulate Matter, Outdoor Temperature and Risk of Metabolic Syndrome." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:27007734.

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Ambient air pollution and temperature have been linked with cardiovascular morbidity and mortality. Metabolic syndrome and its components—abdominal obesity, elevated fasting blood glucose, low high-density lipoprotein cholesterol, hypertension and hypertriglyceridemia—predict cardiovascular disease, but the environmental causes are understudied. This study prospectively examined the long-term associations of air pollution, defined as fine-particulate matter with diameter ≤2.5µm (PM2.5), and temperature on the development of metabolic syndrome and its components. Using covariate-adjusted Cox-models, we estimated associations of annual mean PM2.5 and temperature with incident risk of metabolic dysfunctions in 587 elderly Normative Aging Study men (mean (SD), 70 (7) years) between 1993-2011. A 1-μg/m3 annual PM2.5 increase was associated with higher risk of developing metabolic syndrome (Hazard ratio [HR]=1.27, 95% Confidence Interval (CI): 1.06, 1.52), elevated fasting blood glucose (HR=1.20, 95%CI: 1.03, 1.39) and hypertriglyceridemia (HR=1.14, 95%CI:1.00, 1.30). Metabolic syndrome and high fasting blood glucose findings remained significant in PM2.5 levels below the U.S. Environmental Protection Agency’s limit (12-μg/m3). A 1-Cº annual temperature increase was associated with greater elevated fasting blood glucose risk (HR=1.33, 95%CI: 1.14, 1.56). Men living in neighborhoods with worse air quality—i.e., with higher PM2.5 levels and/or warmer than average—showed increased risk of developing metabolic dysfunctions
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Goetz, Stephen. "Measurement, Analysis, and Modeling of Fine Particulate Matter in Eastern North Carolina." NCSU, 2006. http://www.lib.ncsu.edu/theses/available/etd-01042006-092443/.

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An analysis of fine particulate mass concentrations in eastern North Carolina was conducted in order to investigate the impact of the hog industry and its emissions of ammonia into the atmosphere. This analysis included collecting acidic gas and inorganic fine particulate concentrations at a hog facility and at a site ~10 miles away, while the regional impact of hog industry was studied with data, which was obtained from the North Carolina Division of Air Quality, for multiple regional sites (Fayetteville, Goldsboro, Jacksonville, Kenansville, Kinston, Raleigh, Wilmington). This regional fine particulate data was then simulated using ISORROPIA, a thermodynamic model that simulates the gas and aerosol equilibrium of inorganic atmospheric species. The local analysis showed the dominance of the ammonium sulfate aerosol, and the seasonal observations showed the impact of both urban areas and marine areas on this region. While no meteorological trends were seen in the local data, the time series plots showed an environment where regional sulfate plays a large part. While nitrate is present in this environment, it is present 1 order of magnitude less then the sulfate aerosol. The ammonium and sulfate values are highly correlated, and the molar ratio is consistent with the relative values of ammonium, sulfate, and nitrate present. The regional observational data analyses show that the major constituents of fine particulate matter are organic carbon, sulfate, nitrate, ammonium and elemental carbon. The observed PM2.5 concentration is positively correlated with temperature but negatively-correlated with wind speed. The correlation between PM2.5 mass and wind direction at some locations indicates the impact of the emissions from hog facilities on PM2.5 formation. The modeled results overpredict the observed results in each case, where the nitrate concentrations had the largest percentage overprediction. The predicted total inorganic PM concentrations are overpredicted by 40-45% of the observed values under conditions with median initial total PM species concentrations, median RH and median temperature. The ambient conditions with high PM precursor concentrations, low temperature and high relative humidity favor the formation of the secondary PM. The model runs of the individual days at the three speciated sites showed overprediction for all species, where some predicted values of ammonium were within a factor of 2 of the observed concentrations.
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Tai, Pui Kuen Amos P. K. "Impact of Climate Change on Fine Particulate Matter \((PM_{2.5})\) Air Quality." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10576.

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This dissertation investigates the impact of 2000-2050 climate change on fine particulate matter \((PM_{2.5})\) air quality. We first applied a multiple linear regression model to study the correlations of total \(PM_{2.5}\) and its components with meteorological variables using the past decadal \(PM_{2.5}\) observations over the contiguous US. We find that daily variation in meteorology can explain up to 50% of \(PM_{2.5}\) variability. Temperature is positively correlated with sulfate and organic carbon (OC) almost everywhere. The correlation of nitrate with temperature is negative in the Southeast but positive in California and the Great Plains. Relative humidity (RH) is positively correlated with sulfate and nitrate, but negatively with OC. Precipitation is strongly negatively correlated with all \(PM_{2.5}\) components. We then compared the observed correlations of \(PM_{2.5}\) with meteorological variables with results from the GEOS-Chem chemical transport model. The results indicate that most of the correlations of \(PM_{2.5}\) with temperature and RH do not arise from direct dependence but from covariation with synoptic transport. We applied principal component analysis and regression to identify the dominant meteorological modes controlling \(PM_{2.5}\) variability, and showed that 20-40% of the observed \(PM_{2.5}\) daily variability can be explained by a single dominant meteorological mode: cold frontal passages in the eastern US and maritime inflow in the West. From 1999-2010 observations we further showed that interannual variability of annual mean \(PM_{2.5}\) in most of the US is strongly correlated with the synoptic period T of the dominant meteorological mode as diagnosed from a spectral-autoregressive analysis. We then used the observed local \(PM_{2.5}\)-to-period sensitivity to project \(PM_{2.5}\) changes from the 2000-2050 changes in T simulated by fifteen IPCC AR4 GCMs following the SRES A1B scenario. We project a likely increase of \(\sim 0.1 \mu g m^{-3}\) in annual mean \(PM_{2.5}\) in the eastern US arising from less frequent frontal ventilation, and a likely decrease of \(\sim 0.3 \mu g m^{-3}\) in the northwestern US due to more frequent maritime inflows. These circulation-driven changes are relatively small, representing only a minor climate penalty or benefit for \(PM_{2.5}\) regulatory purpose.
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Books on the topic "Fine particulate matter"

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Critical Technologies Institute (Rand Corporation), Rand Corporation, and United States. Office of Science and Technology Policy., eds. Monitoring for fine particulate matter. Santa Monica, CA: RAND, 1998.

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Kim, David. An assessment of personal exposure to fine particulate matter. Ottawa: National Library of Canada, 2002.

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Adamski, Bill. Characterizing ambient fine particulate matter (PM₂.₅) in Wisconsin, 1999-2001. Madison, WI: Wisconsin Dept. of Natural Resources, Bureau of Air Management, 2003.

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Datema, Jason Alexander. Human pulmonary function response to a controlled exposure to fine urban particulate matter. Ottawa: National Library of Canada, 1999.

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Lillyman, Carrie Danielle. The quantification of mobile source contributions to fine particulate matter in the Greater Toronto Area. Ottawa: National Library of Canada, 2001.

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Eder, B. K. A sensitivity analysis and preliminary evaluation of RELMAP involving fine and coarse particulate matter: Project summary. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1988.

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White, Jerry D. Emission rates of carbon monoxide, particulate matter, and benzo(a)pyrene from prescribed burning of fine southern fuels. [Asheville, N.C.]: U.S. Dept. of Agriculture, Forest Service, Southeastern Forest Experiment Station, 1987.

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Stationary source control techniques document for fine particulate matter. Research Triangle Park, NC: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, 1998.

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Lee, Patrick Kin Hung. Receptor modeling on Canadian atmospheric fine particulate matter (PM2.5) by positive matrix factorization. 2002, 2002.

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Trivikrama, Rao S., New York State Energy Research and Development Authority., and State University of New York at Albany., eds. Analysis of ozone and fine particulate matter in the northeastern United States: Final report. Albany, N.Y: NYSERDA, 2003.

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Book chapters on the topic "Fine particulate matter"

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Yoshimura, Chihiro. "Decomposition of Fine Particulate Organic Matter." In Methods to Study Litter Decomposition, 71–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30515-4_9.

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Mathias, Dietger. "Physical activity and air pollution - fine particulate matter." In Staying Healthy From 1 to 100, 100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49195-9_90.

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Amodio, M., P. Bruno, M. Caselli, G. de Gennaro, P. Ielpo, B. E. Daresta, P. R. Dambruoso, C. M. Placentino, and M. Tutino. "Fine Particulate Matter in Apulia (South Italy): Chemical Characterization." In Nucleation and Atmospheric Aerosols, 1235–38. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6475-3_245.

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Mishra, Rajeev Kumar, Ankita R. Mishra, and Abhinav Pandey. "Commuters’ Exposure to Fine Particulate Matter in Delhi City." In Recent Advances in Traffic Engineering, 369–77. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3742-4_23.

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Mishra, Amit K., P. Mishra, Sunil Gulia, and S. K. Goyal. "Assessment of Indoor Fine and Ultra-Fine Particulate Matter in a Research Laboratory." In Lecture Notes in Civil Engineering, 19–26. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1334-3_3.

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Gadzhev, Georgi, Kostadin Ganev, Nikolay Miloshev, Dimiter Syrakov, and Maria Prodanova. "HPC Simulations of the Fine Particulate Matter Climate of Bulgaria." In Numerical Methods and Applications, 178–86. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15585-2_20.

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Pipal, Atar Singh, Kalpana Rajouriya, and Ajay Taneja. "Human-Associated Potential Risk of Metal-Bound Fine Particulate Matter." In Air Pollution and Its Complications, 87–107. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70509-1_6.

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Paraskevopoulou, D., P. Zarmpas, L. Fourtziou, E. Gerasopoulos, and N. Mihalopoulos. "Short-Term Variability of Fine Inorganic Particulate Matter Over Athens, Greece." In Perspectives on Atmospheric Sciences, 869–74. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-35095-0_124.

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Mukherjee, Arideep, and Madhoolika Agrawal. "A Global Perspective of Fine Particulate Matter Pollution and Its Health Effects." In Reviews of Environmental Contamination and Toxicology, 5–51. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/398_2017_3.

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Harsha, K., S. M. Shiva Nagendra, and Paresh Chandra Deka. "Identification of Potential Sources Affecting Fine Particulate Matter Concentration in Delhi, India." In Lecture Notes in Civil Engineering, 543–59. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6828-2_40.

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Conference papers on the topic "Fine particulate matter"

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Choi, Ju Yeon, Helane Jin, Soojin Hwang, Sooyeon Kwon, and Youna Ah Kang. "Fine-Dusty: Gamification of Particulate Matter Risk Communication." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2020. http://dx.doi.org/10.24251/hicss.2020.154.

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Christy, Roger H., and Stephen D. Ziman. "Fine Particulate Matter: How Dirty is Clean Combustion?" In SPE/EPA Exploration and Production Environmental Conference. Society of Petroleum Engineers, 1999. http://dx.doi.org/10.2118/52674-ms.

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Luo, Y., Y. Sheng, Z. Jiao, and Y. Deng. "Microfluidic system for fine particulate matter separation and sampling." In 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, 2016. http://dx.doi.org/10.1109/urai.2016.7734088.

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Yuen, Leon, Winnie C. Chu, and Boris Stoeber. "Microfluidic-based real-time detector for fine particulate matter." In 2014 IEEE Sensors. IEEE, 2014. http://dx.doi.org/10.1109/icsens.2014.6985114.

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Mendoza, D., T. G. Liou, C. S. Pirozzi, Y. Zhang, and R. Paine. "The Impact of Fine Particulate Matter on School Absences." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a6015.

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Yinsong, Wang, Li Aiguo, Zhang Yuanxun, Xie Yaning, Li Delu, Li Yan, and Zhang Guilin. "Speciation of Iron in Atmospheric Particulate Matter by EXAFS." In X-RAY ABSORPTION FINE STRUCTURE - XAFS13: 13th International Conference. AIP, 2007. http://dx.doi.org/10.1063/1.2644466.

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Franco, A., M. A. Reyna, R. L. Avitia, M. E. Bravo-Zanoguera, and I. Mendoza. "Human respiratory tract emulator to collect bronchial-level fine particulate matter." In 2017 Global Medical Engineering Physics Exchanges/Pan-American Health Care Exchanges (GMEPE/PAHCE). IEEE, 2017. http://dx.doi.org/10.1109/gmepe-pahce.2017.7972114.

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Bergmans, B., M. Dormann, F. Idczak, S. Petitjean, D. Steyls, and B. Vanderheyden. "Advanced technique to reduce emissions of fine particulate matter using ultrasounds." In SUSTAINABLE CHEMISTRY 2011. Southampton, UK: WIT Press, 2011. http://dx.doi.org/10.2495/chem110071.

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Hamdan, Nasser M., Hussain Alawadhi, and Najeh Jisrawi. "Particulate Matter Pollution in the United Arab Emirates: Elemental Analysis and Phase Identification of Fine Particulate Pollutants." In The 2nd World Congress on New Technologies. Avestia Publishing, 2016. http://dx.doi.org/10.11159/icepr16.158.

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Pranghofer, Gernot G. "Control of Fine Particulate Matter by Means of High Efficiency ePTFE Membrane Filter Laminates." In 17th Annual North American Waste-to-Energy Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/nawtec17-2303.

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The COUNCIL OF THE EUROPEAN UNION has enacted laws to improve the quality of the ambient air: The “COUNCIL DIRECTIVE 1999/30/EC of 22 April 1999 relating to limit values for sulphur dioxide, nitrogen dioxide and oxides of nitrogen, particulate matter and lead in ambient air” and the “DIRECTIVE 2008/50/EC OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 21 May 2008 on ambient air quality and cleaner air for Europe”. The Member States had to bring into force the laws, regulations and administrative provisions necessary to comply with these Directives. These Directives are raising the expectations on the reduction of fine particulate matter on the potential emitters, mainly public traffic, industry and waste-to-energy (WtE) plants. Although there is currently no European regulation on stack emissions of fine particulate matter, local regulatory authorities have tightened the emission limits of total particulate matter. For example, quite a number of Italian WtE plants are expected to meet dust emission levels of less than 2 mg/m3. In order to assure compliance strong efforts and large investments have been made to optimize the efficiency of their APC system. Different dust filtration technologies will be compared and the filtration principles of depth filtration and surface filtration will be detailed. A comparison of an experimental study and the practical performance of the different technologies are discussed. Special focus will be given to the development and application of High Efficiency Membrane Filter Laminates for retention of fine particulate matter. These filter materials consist of micro-porous expanded PolyTetraFluoroEthylene (ePTFE) membranes laminated onto suitable backing materials, retention rates of > 99.99% of PM2.5 have been achieved. A number of large European WtE plants have already completed their APC upgrades by using the High Efficiency Membrane Filter Laminates. Some of them are on operation for a couple of years, performance reviews will be detailed.
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Reports on the topic "Fine particulate matter"

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Tree, Dale R. ON LINE MEASUREMENT OF PRIMARY FINE PARTICULATE MATTER. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/787727.

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Gerald P. Huffman, Frank E. Huggins, Naresh Shah, and Robert Huggins. Source Signatures of Fine Particulate Matter from Petroleum Refining and Fuel Use. Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/896538.

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Gerald P. Huffman, Frank E. Huggins, Naresh Shah, Artur Braun, Yuanzhi Chen, J. David Robertson, Joseph Kyger, et al. SOURCE SIGNATURES OF FINE PARTICULATE MATTER FROM PETROLEUM REFINING AND FUEL USE. Office of Scientific and Technical Information (OSTI), July 2003. http://dx.doi.org/10.2172/839089.

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Kolb, Charles, Douglas Worsnop, Manjula Canagaratna, Scott Herndon, John Jayne, W. Knighton, Timothy Onasch, Ezra Wood, and Miguel Zavala. Characterization of Fine Particulate Matter (PM) and Secondary PM Precursor Gases in Mexico City. Office of Scientific and Technical Information (OSTI), March 2008. http://dx.doi.org/10.2172/927352.

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Molina, Luisa T., Mario J. Molina, Rainer Volkamer, Benjamin de Foy, Wenfang Lei, Miguel Zavaka, and Erik Velasco. Characterization of Fine Particulate Matter (PM) and Secondary PM Precursor Gases in the Mexico City Metropolitan Area. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/940956.

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Prof. Jose-Luis Jimenez. Final report for "Characterization of Fine Particulate Matter (PM) and secondary PM Precursor Gases in the Mexico City Metropolitan Area". Office of Scientific and Technical Information (OSTI), May 2009. http://dx.doi.org/10.2172/952491.

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Kai, Zhao, Du Chaonan, Guo Yu, and Yang Mingfei. Hemorrhagic Stroke for Increase of Ambient Fine Particulate Matter of Diameter ≤2.5 μm:A Systemic Review and Meta-analysis for Cohort Studies. International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2020. http://dx.doi.org/10.37766/inplasy2020.5.0022.

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Robinson P. Khosah and John P. Shimshock. COMPARATIVE EVALUATION OF AMBIENT FINE PARTICULATE MATTER (PM2.5) DATA OBTAINED FROM URBAN AND RURAL MONITORING SITES ALONG THE UPPER OHIO RIVER VALLEY. Office of Scientific and Technical Information (OSTI), March 2004. http://dx.doi.org/10.2172/822874.

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Robinson P. Khosah, John P. Shimshock, and Jerry L. Penland. COMPARATIVE EVALUATION OF AMBIENT FINE PARTICULATE MATTER (PM2.5) DATA OBTAINED FROM URBAN AND RURAL MONITORING SITES ALONG THE UPPER OHIO RIVER VALLEY. Office of Scientific and Technical Information (OSTI), April 2004. http://dx.doi.org/10.2172/826267.

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Robinson P. Khosah, John P. Shimshock, and Jerry L. Penland. COMPARATIVE EVALUATION OF AMBIENT FINE PARTICULATE MATTER (PM2.5) DATA OBTAINED FROM URBAN AND RURAL MONITORING SITES ALONG THE UPPER OHIO RIVER VALLEY. Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/834330.

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