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Academic literature on the topic 'Ambient air concentration'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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Journal articles on the topic "Ambient air concentration"

1

Khan, S., A. S. Alaamer, and S. N. A. Tahir. "ASSESSMENT OF 7BE CONCENTRATION IN OUTDOOR AMBIENT AIR." Health Physics 95, no. 4 (October 2008): 433–35. http://dx.doi.org/10.1097/01.hp.0000318885.73725.fa.

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Baltrėnas, Pranas, Mindaugas Kvasauskas, and Klaus-Dieter Frőhner. "INFLUENCE OF STEVEDORING OPERATIONS OF LIQUID AND POWDERY FERTILIZERS AT KLAIPEDA STATE SEAPORT ON THE AMBIENT AIR QUALITY." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 14, no. 2 (June 30, 2006): 59–68. http://dx.doi.org/10.3846/16486897.2006.9636880.

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Economic operations carried out at Klaipeda State Seaport negatively affect the quality of the ambient air. To assess the atmosphere pollution in northern Klaipeda caused by economic operations at the Port, investigation was carried out from June to November. This paper surveys the influence of stevedoring and transportation of liquid and powdery fertilizers on the ambient air. Measurements of ammonia and phosphorus acid concentrations in the air showed that the concentrations and distribution of ammonia concentrations were for the most part influenced by meteorological conditions – the wind force and relative air humidity – as well as by transportation of liquid fertilizers. The largest excess of the maximum permissible concentration (MPC) of ammonia concentration was recorded in June: at daytime and in the evening it was higher 1,1 time, and at night – 2,2 times. In September, October and November ammonia concentrations in the ambient air did not exceed the MPC. Excess of phosphorus acid concentrations in the ambient air was detected in June (1,2 time at daytime) and July (at daytime and in the evening) in the closest proximity of the Liquid Fertilizer Transhipment Terminal.

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Herawati, Peppy, Anggrika Riyanti, and Ageng Pratiwi. "Hubungan Konsetrasi NO2 Udara Ambien Terhadap Konsentrasi NO2 Udara Dalam Ruang Di Lampu Merah Simpang Jelutung Kota Jambi." Jurnal Daur Lingkungan 1, no. 1 (March 28, 2018): 1. http://dx.doi.org/10.33087/daurling.v1i1.1.

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ABSTRACTTtransportation is one of the factors that have a major influence in air quality decline. Air pollution is not only happening outside the room and will mobilization activities of motor vehicles, but it can affect air quality in space. One of the pollutant gas produced from vehicles is the concentration of Nitrogen Dioxide (NO2). This allows an exposure that will impact on public health. The purpose of this study is to determine the relationship of NO2 air ambient concentration (outdoor) to indoor air (indoor) in Simpang Jelutung Red Lights area. The method used in this study is quantitatif method. Data collection using sampling NO2 concentration in outdoor and indoor. The relationship between outdoor and indoor NO2 concentrations was analyzed using Pearson correlation. This is in line with the small influence of air NO2 concentration in space on public health. Result shows that all of the sample is still categorized either or not passing the air quality standard (150 μg / m3) in Government Regulation Number 41 Year 1999. The correlation analysis result show relationship NO2 concentration between ambient air (outdoor) to indoor air was 13%, which means that correlation relationship is very weak. Keywords: Ambient air, indoor air, NO2 concentration

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Riyanti, Anggrika, Peppy Herawati, and Nyimas Hazana Pajriani. "Pengaruh Konsentrasi NO2 Udara Ambien pada Daerah Padat Kendaraan Terhadap Konsentrasi NO2 Udara Dalam Ruang (Studi Kasus di Kawasan Simpang Pulai Kota Jambi)." Jurnal Daur Lingkungan 1, no. 2 (October 2, 2018): 60. http://dx.doi.org/10.33087/daurling.v1i2.12.

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Transportation sector has a very big influence in air pollution. Increase the number of vehicles will caused higher air pollution, such as NO2. The increase in ambient air pollution is feared to have an impact on indoor air pollution. This study purposed is to determine the relationship between NO2 concentration in ambient to indoor air. This study used kuantitatif methods with purposive sampling for one month in Simpang Pulai Jambi City. The relationship between NO2 concentration of ambient air and indoor air was analyzed using simple pearson correlation. The result showed that there was no significant relationship between NO2 concentration in ambient to indoor air with correlation value (r) is 0,437. The highest NO2 concentration found on the third week in ambient 109,139 µg/m3and indoor air 70,133 µg/m3. From analysis in one month showed that NO2 concentration in Simpang Kawat Jambi City still meet the air quality standard (150 μg / m3) in Government Regulation Number 41 Year 1999 about Air Pollution Control.

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Shirinzadeh, B., Charles C. Wang, and D. Q. Deng. "Diurnal variation of the OH concentration in ambient air." Geophysical Research Letters 14, no. 2 (February 1987): 123–26. http://dx.doi.org/10.1029/gl014i002p00123.

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Telyatnikova, A. M., S. V. Fedorov, and A. V. Kudryavtsev. "MONITORING OF AMBIENT AIR AND AIR INSIDE A SURGE CHAMBER." Water and Ecology 25, no. 4 (2020): 58–66. http://dx.doi.org/10.23968/2305-3488.2020.25.4.58-66.

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Introduction. When sewage is transported along sewer pipes, sewer gases are actively formed and released. Special attention (in terms of desorption capacity) should be paid to surge chambers characterized by changes in the flow and flow arrival conditions, as well as by drop flow. The release of sewage gases has an adverse effect on sanitary and environmental safety. Therefore, it is required to control sewage gases’ release and assess the condition of the ambient air and the air in the surge chamber space. Methods. We selected a surge chamber in Cherepovets for monitoring. The experiment included: 1) measurements of sewer gases’ concentrations in the surge chamber and in the ambient air near the hatch; 2) analysis of dissolved hydrogen sulfide concentration in sewage; 3) recording of climate characteristics. Results. Based on the monitoring results, we determined the concentrations of sewer gases in the surge chamber. It has been found that gases leave the chamber in portions, which is due to aerodynamic processes and airing owing to incomplete air tightness. The relationship between the gas concentrations recorded at the same time in the surge chamber and the ambient air is reversed. The analysis of wastewater samples showed that most part of hydrogen sulfide leaves the water medium before wastewater enters the air space of the surge chamber. This is due to the absence of overpressure in the last headrace section. Besides, the maximum allowable concentrations were exceeded manifold both in the chamber and in the ambient air near it. Conclusion. The monitoring results confirm that it is required to develop: methods for assessing the environmental impact of surge chambers; methods for predicting total and one-time maximum emissions in the facilities; recommendations for setting the boundaries of sanitary protection zones around such facilities.

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Sulistiani, Ika, I. GD Yudha Partama, Sang Putu Kaler Surata, and I. Ketut Sumantra. "DINAMIKA KUALITAS UDARA AMBIEN SELAMA MASA PANDEMI COVID-19 DI KAWASAN INDONESIA TOURISM DEVELOPMENT CORPORATION NUSA DUA BALI." ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) 15, no. 1 (June 2, 2021): 124. http://dx.doi.org/10.24843/ejes.2021.v15.i01.p11.

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The Covid-19 pandemic has increased the improvement of air quality in various countries in the world, such as China, Italy, New York, India, Spain and Korea. This study aims to compare ambient air quality during the Covid-19 pandemic with new normal and normal periods, assess the effect of meteorological factors on ambient air quality, and map the spatial distribution of ambient air quality during the normal, Covid-19 pandemic and new normal in the ITDC Nusa Dua area. Air concentration parameter data and meteorological factors were collected using the midget impinger and direct reading method in 2019 (normal period), March and May 2020 (Covid-19 pandemic period) and July, September, and November 2020 (new normal period). Furthermore, comparing air quality using the Anova test, assessing the effect of meteorological factors on air quality using a linear regression test, and mapping the distribution of ambient air using the ArcGis 10.8 application. The analysis showed that the air quality during the Covid-19 pandemic and the new normal was significantly different from the normal period. The concentrations of SO2, NO2, NH3, CO, TSP and H2S during the Covid-19 pandemic and normal just decreased while the O3 concentration increased compared to the normal period. The meteorological factor that affects air quality is the wind speed, the higher the wind speed the lower the O3 concentration. Map of the distribution of spatial concentrations of SO2, NO2, NH3, CO, O3 and H2S in the normal, Covid-19 pandemic and new normal, lowest at the coast point of the peninsula and the highest distribution at the ITDC roundabout, bima statue or influence TSP is the highest spatial concentration of normal distribution at the ITDC roundabout and the bima statue, while the Covid-19 pandemic and normal are only at the coast point of the peninsula beach.Keywords: ambient air quality; Covid-19; pandemic; tourism.

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Szyszkowicz, Mieczysław. "The concentration-response functions for short-term exposure to ambient air pollution." Polish Journal of Public Health 131, no. 1 (January 1, 2021): 7–10. http://dx.doi.org/10.2478/pjph-2021-0002.

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Abstract Introduction. There are a few statistical approaches to estimate health impacts of the ambient air pollution concentrations. Air health effects are often studied in short-term exposure. In this context two main techniques are used; time-series and case-crossover (CC). This work focuses on the CC methodology. In the standard method risk is estimated using log-linear models. Aim. This work proposes other types of the models. Material and methods. The CC design is applied with various transformations of air pollution concentration. The mortality data are used for the period from 1987 to 2015 for Toronto, Canada. Daily concentration level of ambient ozone is considered as an exposure. The ozone concentration is transformed and used in the statistical models. The transformation is a product of two parts; a simple function such as logarithm and a logistic function as a weight. The transformed concentration is used in the CC statistical models. The models estimate the coefficient related to transformed concentration. It allows to construct the concentration-response function. The generated models are assessed using the Akaike information criterion (AIC). Results. The relative risks (RR), reported at 75th percentile of the concentration (55 ppb) are different. The standard CC model gives RR=1.0195 with the 95% confidence interval (1.0035, 1.0358), whereas the model with the transformation gives better fit and estimates RR=1.0054 (1.0026, 1.0082). Conclusions. The proposed methodology allows to construct an accurate approximation of the concentration-response functions. These functions provide adequate approximations and also identify a potential threshold.

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Eswaran, Sarojini, Bharathiraj L.T, and Jayanthi S. "Modelling of ambient air quality, Coimbatore, India." E3S Web of Conferences 117 (2019): 00002. http://dx.doi.org/10.1051/e3sconf/201911700002.

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Air pollution is dispersion of the particulates, biological molecules, or other harmful materials into the Earth’s atmosphere, possibly causing diseases. Air pollutants can be either particles, liquids or gaseous. In the recent era, air pollution has become a major environmental issue because of the enhanced anthropogenic activities such as burning fossil fuels, natural gases, coal and oil, industrial process, advanced technologies and motor vehicles. The proposed project focused on air pollution study of North Coimbatore region (11° 0’ 16.4016’’ N and 76° 57’ 41.8752’’ E), Tamilnadu, India. The area comprises of industries, residential and commercial areas, where plenty of pollution occurs due to emissions from automobiles also. The main aim of the project is to develop models using GIS for the air pollutant concentration of Coimbatore region. In order to run the model, the concentration details of PM2.5 (Particulate mass) were collected. Prediction models have been evolved for the monitoring station to predict the concentration of pollutants (PM2.5) based on the different meteorological parameters and also vice versa. The project concludes that highly polluted places are Koundampalayam and Thudiyalur compared to all other monitoring stations.

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Pierce, A., D. Obrist, H. Moosmüller, X. Faïn, and C. Moore. "Cavity ring-down spectroscopy sensor development for high-time-resolution measurements of gaseous elemental mercury in ambient air." Atmospheric Measurement Techniques 6, no. 6 (June 5, 2013): 1477–89. http://dx.doi.org/10.5194/amt-6-1477-2013.

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Abstract. We describe further development of a previous laboratory prototype pulsed cavity ring-down spectroscopy (CRDS) sensor into a field-deployable system for high-time-resolution, continuous, and automated measurement of gaseous elemental mercury (GEM) concentrations in ambient air. We employed an external, isotopically enriched Hg cell for automated locking and stabilization of the laser wavelength on the GEM peak absorption during measurements. Further, we describe implementation of differential absorption measurements via a piezoelectric tuning element for pulse-by-pulse tuning of the laser wavelength onto and off of the GEM absorption line. This allowed us to continuously correct (at 25 Hz) for system baseline extinction losses unrelated to GEM absorption. Extensive measurement and calibration data obtained with the system were based on spike addition in both GEM-free air and ambient air. Challenges and interferences that occurred during measurements (particularly in ambient air) are discussed including temperature and ozone (O3) concentration fluctuations, and steps taken to reduce these. CRDS data were highly linear (r2 ≥ 0.98) with data from a commercial Tekran 2537 Hg analyzer across a wide range of GEM concentrations (0 to 127 ng m−3) in Hg-free and ambient air. Measurements during periods of stable background GEM concentrations provided a conservative instrument sensitivity estimate of 0.35 ng m−3 for the CRDS system when time averaged for 5 min. This sensitivity, along with concentration patterns observed in ambient air (with the CRDS system and verified with the Tekran analyzer), showed that the sensor was capable of characterizing GEM fluctuations in ambient air. The value of fast-response GEM measurements was shown by a series of GEM spike additions – highlighting that high-temporal-resolution measurement allowed for detailed characterization of fast concentration fluctuations not possible with traditional analyzers.

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Dissertations / Theses on the topic "Ambient air concentration"

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Buzorius, Gintautas. "Variation of aerosol concentration in ambient air." Helsinki : University of Helsinki, 2000. http://ethesis.helsinki.fi/julkaisut/mat/fysii/vk/buzorius/.

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Kalabokas, Pavlos. "Etude des facteurs sources et puits des composes carbonyles dans les masses d'air transitant au-dessus de la region parisienne." Paris 7, 1987. http://www.theses.fr/1987PA077216.

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Fraigneau, Yann. "Etudes numériques de l'évolution diurne de l'ozone dans la région d'une agglomération." Rouen, 1996. http://www.theses.fr/1996ROUES063.

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Des études de scénarios ont été réalisées par simulations numériques sur l'évolution diurne de l'ozone dans la région d'une agglomération. L'objectif de ce travail a consisté à mettre en évidence les tendances exercées par quelques-uns des nombreux facteurs susceptibles d'influencer l'évolution des champs de concentration d'ozone au cours d'une journée, au niveau des localités se trouvant directement sous le vent d'une zone urbaine. Plus particulièrement, les études se sont portées sur les répercussions engendrées sur l'ozone par les variations que peut subir la couche limite atmosphérique dans son évolution journalière, sous l'influence de différents paramètres. Ces derniers sont : la stabilité thermique matinale, la hauteur initiale de la couche d'inversion synoptique, le gradient thermique de l'atmosphère libre et le phénomène d'évaporation. Les conséquences pouvant résulter d'une réduction exclusive des émissions urbaines d'oxyde d'azote ont aussi été examinées. Les simulations ont été effectuées pour des conditions météorologiques anticycloniques, typiques des périodes d'été, propices au développement de la pollution photo-oxydante. Parallèlement, des études numériques en situation de réacteur homogène fermé ont été réalisées afin d'analyser individuellement l'influence de certains paramètres sur l'évolution chimique de l'ozone. Ces paramètres sont : l'éclairement solaire, l'humidité, la température et le rapport des concentrations des composés organiques volatils et des oxydes d'azote. Enfin, des simulations numériques ont été entreprises afin de déterminer les effets du micromélange au voisinage d'un site urbain, c'est-à-dire sur l'impact des fluctuations de concentrations engendrées par la turbulence sur le taux de réaction moyen des espèces. Cette étude, à caractère fondamental, a été réalisée dans le cadre d'une couche limite atmosphérique considérée dans un état neutre et stationnaire. Les processus chimiques sont uniquement assimilés au cycle de Chapman, les espèces réactives prépondérantes au voisinage d'une zone urbaine étant les oxydes d'azote et l'ozone.

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Andrew, Michael Shane. "Assessment of ambient concentrations of ionic species of PM₂₅ in Atlanta, Georgia." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/21694.

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Lam, Leong Hong. "Prediction of ambient air pollutant concentrations in Macao with artificial neural network." Thesis, University of Macau, 2004. http://umaclib3.umac.mo/record=b1445145.

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Varadarajan, Charanya. "Explore the link of PM₁₀ with meteorological factors and ambient air concentrations of ozone, CO and NO₂ using time series for Cleveland, Ohio /." See Full Text at OhioLINK ETD Center (Requires Adobe Acrobat Reader for viewing), 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1083771115.

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Thesis (M.S.V.)--University of Toledo, 2004.
Typescript. "A thesis [submitted] as partial fulfillment of the requirements of the Master of Science degree in Civil Engineering." Includes bibliographical references (leaves 83-87).

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Morkūnienė, Jurgita. "Vilniaus miesto rajonų kietųjų dalelių koncentracijos ore nustatymas ir įvertinimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2006. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060612_135517-11349.

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The problems of particulate matter air pollution were analyzed, statistical data about particulate matter pollution in the world and in Lithuania were presented, necessity of particulate matter concentration assessment in the air of Žirmūnai and Žvėrynas districts of Vilnius were described, the main aims and tasks of work were described in the final master work. The data of Lithuanian air quality stations were analyzed too, and it was assessed that Vilnius is one of the most particulate matter polluted Lithuanian cities. The biggest concentrations of this pollutant during analyzed period were fixed in the Žirmūnai and Žvėrynas air quality stations. The methodology of investigation of particulate matter concentration in the air of Žirmūnai and Žvėrynas districts was described; places of measurement points, operation of a real time monitor „Microdust pro“ were characterized and the results of recording were presented, too. The model of particulate matter carry in Žvėrynas district with the help of „Phoenics“ modelling programme was made. The data of investigation (results of recording particulate matter concentration) and calculated results were compared, conclusions and suggestions given. The work has 6 chapters: introduction, the ambient air pollution with particulate matter; investigation of particulate matter concentration in the air of Vilnius districts, mathematical modelling of particulate matter concentration in the air of Žvėrynas district, general conclusions and... [to full text]

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Saraswat, Arvind. "Air pollution in New Delhi, India : spatial and temporal patterns of ambient concentrations and human exposure." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/56224.

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Urban air pollution is a major health and environmental concern worldwide, and the levels are extremely high in New Delhi, India. This research is focused on the spatial and temporal variability of air pollutant concentrations and its implications for population exposure in New Delhi. Since traffic is considered a significant source of air pollutants in urban environments, robust and multiple linear regression models were used to understand the impact of local traffic flow on ambient concentrations of PM₂.₅, CO, NO and NO₂ at a busy intersection. To elicit the spatiotemporal variability of PM₂.₅ and its constituents (black carbon and ultrafine particles), land use regression (LUR) models were developed. Separate morning and afternoon models were developed using 136 hours (39 sites), 112 hours (26 sites) and 147 hours (39 sites) of PM₂.₅, BC and UFPN data, respectively. Finally, to understand how spatiotemporal variations in PM₂.₅ concentrations impact population exposure, a probabilistic simulation framework was developed to integrate the PM₂.₅ LUR models with time-activity data obtained from a field survey. Regression models explained about 50–80% variability in hourly pollutant concentrations and localized traffic flow explained up to 19% of variability on that scale. Auto-rickshaw and truck flow had a higher influence on NO₂ and PM₂.₅ concentrations, respectively. Independent variables in the LUR models included population density, distance from major roads, and major and minor road lengths in buffers of different radii; measurements from a fixed continuous monitoring site were also used as independent variables in the PM₂.₅ and BC models. The temporal term explained most of the variability (63–77%) in PM₂.₅ and BC models compared to spatial variables (4–16%). Exposure simulations indicate that the estimated annual average PM₂.₅ exposure (109 µg m-³) was high compared to North American or European cities. PM₂.₅ exposures were highest during the winter months (~200 µg m-³) compared to the summer months (~50 µg m-³). Ignoring mobility (i.e. exposure during transport or at work/school locations), as is generally assumed in epidemiologic studies of long-term exposure, underestimated PM₂.₅ population exposure by about 11%.
Science, Faculty of
Resources, Environment and Sustainability (IRES), Institute for
Graduate

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Lim, Guo Quan. "Evaluation of the Influence of Non-Conventional Sources of Emissions on Ambient Air Pollutant Concentrations in North Texas." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804841/.

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Emissions of air pollutants from non-conventional sources have been on the rise in the North Texas area over the past decade. These include primary pollutants such as volatile organic compound (VOC) and oxides of nitrogen (NOx) which also act as precursors in the formation of ozone. Most of these have been attributed to a significant increase in oil and gas production activities since 2000 within the Barnett Shale region adjacent to the Dallas-Fort Worth metroplex region. In this study, air quality concentrations measured at the Denton Airport and Dallas Hinton monitoring sites operated by the Texas Commission on Environmental Quality (TCEQ) were evaluated. VOC concentration data from canister-based sampling along with continuous measurement of oxides of nitrogen (NOx), ozone (O3), particulate matter (PM2.5), and meteorological conditions at these two sites spanning from 2000 through 2014 were employed in this study. The Dallas site is located within the urban core of one of the fastest growing cities in the United States, while the Denton site is an exurban site with rural characteristics to it. The Denton Airport site was influenced by natural gas pads surrounding it while there are very few natural gas production facilities within close proximity to the Dallas Hinton site. As of 2013, there were 1362 gas pads within a 10 mile radius to the Denton Airport site but there were only 2 within a 10 mile radius to Dallas Hinton site. The Dallas site displayed higher concentrations of NOx and much lower concentrations of VOC than the Denton site. Extremely high levels of VOC measured at the Denton site corresponded with the increase in oil and gas production activities in close proximity to the monitoring site. Ethane and propane are two major contributors to the measured VOC concentration, suggesting the influence of fugitive emissions of natural gas. In Dallas, the mean and maximum values of ozone had decreased since 2000 by about 2% and 25%, respectively. Similarly NOx decreased by 50% and 18% in the mean and maximum values. However, the mean VOC value showed a 21% decrease while the maximum value increased by about 46%. In Denton, the change in percentage of ozone and NOx were similar to Dallas but the mean VOC concentration increased by about 620% while the max value increased 1960%. Source apportionment analysis confirmed the findings by identifying the production of natural gas to be the primary source of VOC emissions in Denton, while traffic sources were more influential near the Dallas site. In light of the recent proposal by EPA to revise the ozone standard, the influence of these new unconventional sources should be further evaluated.

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Cachier-Rivault, Hélène. "Approche isotopique du cycle atmospherique du carbone particulaire." Paris 7, 1987. http://www.theses.fr/1987PA077061.

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Etude des emissions naturelles de carbone particulaire et evaluation des perturbations induites par les activites humaines sur le cycle atmospherique du carbone. Travail s'appuyant sur des mesures de concentration et de granulometrie d'aerosol preleve au cours de nombreuses campagnes en milieu continental tempere et tropical ainsi qu'en zone oceanique des deux hemispheres. L'origine et le transport a grande echelle des aerosols sont determines par des mesures de composition isotopique (**(13)c/**(12)c) au spectrometre de masse

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Books on the topic "Ambient air concentration"

1

Steer, Peter. Volatile organic compound sampling program: Ambient air concentration data listing, 1991 : report. [Toronto]: Atmospheric Research and Special Projects Section, Air Resources Branch, Ontario Ministry of the Environment, 1992.

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Steer, Peter. Volatile organic compound sampling program: Ambient air concentration data listing, 1991 : report. [Toronto]: Atmospheric Research and Special Projects Section, Air Resources Branch, Ontario Ministry of the Environment, 1992.

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Buckland, Simon J. Ambient concentrations of selected organochlorines in air. Wellington: Organochlorines Programme, Ministry for the Environment, 1999.

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Hsu, S. A. Analysis of ambient pollutant concentrations and meteorological conditions affecting EPA class I and II areas in southeastern Louisiana. New Orleans, La. (1201 Elmwood Park Blvd., New Orleans 70123- 2394): U.S. Minerals Management Service, Gulf of Mexico OCS Region, 1996.

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Hsu, S. A. Analysis of ambient pollutant concentrations and meteorological conditions affecting EPA class I and II areas in southeastern Louisiana. New Orleans, La. (1201 Elmwood Park Blvd., New Orleans 70123- 2394): U.S. Minerals Management Service, Gulf of Mexico OCS Region, 1996.

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Hsu, S. A. Analysis of ambient pollutant concentrations and meteorological conditions affecting EPA class I and II areas in southeastern Louisiana. New Orleans, La. (1201 Elmwood Park Blvd., New Orleans 70123- 2394): U.S. Minerals Management Service, Gulf of Mexico OCS Region, 1996.

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Shafer, David S. Comparison of ambient radon concentrations in air in the Northern Mojave Desert from continuous and integrating instruments. Las Vegas, Nev.?]: Desert Research Institute, 2010.

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Pollack, A. K. Trends in sulfur dioxide emissions from the electric utility industry and ambient sulfur dioxide concentrations in the northeastern United States, 1975 to 1982. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1985.

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PCDD/PCDF sampling program, ambient air concentration data listing. [Toronto]: The Section, 1990.

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Volatile organic compounds monitoring network: Ambient air concentration data listing, 1990 : report. [Toronto]: The Section, 1992.

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Book chapters on the topic "Ambient air concentration"

1

Zyśk, Janusz, Artur Wyrwa, and Beata Sliz-Szkliniarz. "Spatially Disaggregated Impact Pathway Analysis of Direct Particulate Matter Emissions." In The Future European Energy System, 275–89. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60914-6_15.

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AbstractThis chapter focuses on the evaluation of air quality and health impacts associated with direct emissions of air pollutants for different REFLEX scenarios based on the Driver-Pressure-State-Impact-Response framework. Ambient concentration of air pollutants is calculated with the use of the Polyphemus Air Quality System. Health impacts are calculated using the concentration-response functions. Results show that particulate matter emissions in Europe will decrease by 10 times till 2050. Also ambient pollutants concentrations decrease in 2050 in all REFLEX scenarios. This leads to the reduction of external costs of almost 20 billion EUR per year.

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Hjorth, J., G. Ottobrini, F. Cappellani, G. Restelli, H. Stangl, and C. Lohse. "Hydroxyl Radical Concentration in Ambient Air Estimated from C13O16 Oxidation." In Atmospheric Ozone, 725–29. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5313-0_142.

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Spurny, K. R. "On the Preventive Concentration Limits for Asbestos Aerosols in Ambient and Indoor Air." In Environmental Hygiene II, 127–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-46712-7_29.

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Spielvogel, Juergen, and Maximilian Weiss. "The Fidas®—A New Continuous Ambient Air Quality Monitoring System that Additionally Reports Particle Size and Number Concentration." In Urban Environment, 243–51. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7756-9_20.

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Guderian, Robert. "Emissions and Ambient Air Concentrations." In Ecological Studies, 11–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70118-4_3.

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Heber, Albert J. "Lagoon characteristics and ambient hydrogen sulfide concentrations at a swine feeding facility." In Air Quality and Livestock Farming, 13–28. Boca Raton : CRC Press/Balkema, 2018. | Series: Sustainable energy developments ; Volume 15: CRC Press, 2018. http://dx.doi.org/10.1201/9781315738338-2.

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Henneman, Lucas R. F., Cong Liu, David Lavoué, Howard Chang, James A. Mulholland, and Armistead G. Russell. "Estimating the Impact of Air Pollution Controls on Ambient Concentrations." In Springer Proceedings in Complexity, 141–46. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24478-5_23.

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Wagner, T. O. F., W. H. T. Schürmann, and H. Fabel. "Controlled Clinical Inhalation Studies with Environmental Air Pollutants at Concentrations Commonly Found in the Ambient Air." In Advances in Controlled Clinical Inhalation Studies, 159–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77176-7_16.

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Edgerton, Sylvia A., Jean M. Czuczwa, Jerry D. Rench, Robert F. Hodanbosi, and Paul J. Koval. "Ambient Air Concentrations of Polychlorinated Dibenzo-P-Dioxins and Dibenzofurans in Ohio: Sources and Health Risk Assessment Ω." In Municipal Waste Incineration Risk Assessment, 251–67. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3294-1_14.

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Kitada, Toshihiro, Yasuhiro Kurodai, Takaaki Shimohara, Takao Kanzaki, Masaaki Yoshikawa, and Takayuki Tokairin. "Numerical Study on Reduction of Ambient NOx, PM, and VOCs Concentrations by ACF (Activated Carbon Fiber) Fences: Effects of Generated Air Flow and Chemical Reactivity of the ACF Fences." In Air Pollution Modeling and its Application XXII, 159–65. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5577-2_27.

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Conference papers on the topic "Ambient air concentration"

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Tessathan, Tanawat, Chutiphon Thammasiri, Prabhath De Silva, Rehan Hussain, and Nuksit Noomwongs. "Cabin-Ambient Air Exchanges and Their Relation to In-Vehicle CO2 Concentration." In The 13th International Conference on Automotive Engineering. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2017. http://dx.doi.org/10.4271/2017-01-1725.

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Panchal, Savan, Tejas Turakhia, Abha Chhabra, and Rajesh Iyer. "Investigation on Black Carbon Concentration in Ambient Air Quality of Gandhinagar During Post Monsoon Period." In 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2020. http://dx.doi.org/10.1109/ingarss48198.2020.9358970.

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Durbaca, Ion, Nicoleta Sporea, Dana-Claudia Farcas-Flamaropol, and Elena Surdu. "Application of the "SIX SIGMA" method for the analysis of the improvement of the environmental air quality parameters at the municipality of Bucharest, by monitoring the pollutances of NOX pollutants." In The 8th International Conference on Advanced Materials and Systems. INCDTP - Leather and Footwear Research Institute (ICPI), Bucharest, Romania, 2020. http://dx.doi.org/10.24264/icams-2020.iii.5.

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This paper analyzes the improvement of ambient air quality indicators by monitoring the NOx concentration in one of the most polluted areas of Bucharest, using the statistical method "SIX SIGMA" (6σ). By applying the methodology of this statistical approach, the aim is to reduce non-conformities within the specified limits (according to the standards and legislative norms in force) and respectively, to ensure maximum efficiency (99,99%), equivalent to a yield of 3.4 defects per million opportunities (DPMO). As high concentrations of air pollutants have a major impact on human health, the most harmful effect has been found to be caused by nitrogen dioxide (NO2), mainly from ground-level ozone. Using the "6σ" method, the optimal solutions for eliminating non-conformities and implicitly for reducing the NO2 concentration and ensuring the improvement of the ambient air quality can be identified.

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Alam, Putri, Ellfi Ellfi, and Eka Dharma Putra Marhanto. "Microbial Concentration of Ambient Air in Poly-Clinic Room at Community Health Center, Kendari, South East Sulawesi." In The 5th Intenational Conference on Public Health 2019. Masters Program in Public Health, Universitas Sebelas Maret, 2019. http://dx.doi.org/10.26911/theicph.2019.01.29.

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Yasunishi, T., S. Kishimoto, and Y. Ohno. "Chemically-Doped n-type Carbon Nanotube Thin-Film Transistors: Doping Concentration Dependence and Influence of Ambient Air." In 2013 International Conference on Solid State Devices and Materials. The Japan Society of Applied Physics, 2013. http://dx.doi.org/10.7567/ssdm.2013.ps-13-10.

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Patel, Parth, Tejas Turakhia, Rajesh Iyer, and Abha Chhabra. "Field Investigations of Black Carbon Concentration in Ambient Air Quality of a Megacity: A Case Study of Ahmedabad." In 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2020. http://dx.doi.org/10.1109/ingarss48198.2020.9358976.

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Satti, Rajani P., and Ajay K. Agrawal. "Numerical Analysis of Flow Evolution in a Helium Jet Injected Into Ambient Air." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56811.

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A computational model to study the stability characteristics of an evolving buoyant helium gas jet in ambient air environment is presented. Numerical formulation incorporates a segregated approach to solve for the transport equations of helium mass fraction coupled with the conservation equations of mixture mass and momentum using a staggered grid method. The operating parameters correspond to the Reynolds number varying from 30 to 300 to demarcate the flow dynamics in oscillating and non-oscillating regimes. Computed velocity and concentration fields were used to analyze the flow structure in the evolving jet. For Re = 300 case, results showed that an instability mode that sets in during the evolution process in Earth gravity is absent in zero gravity, signifying the importance of buoyancy. Though buoyancy initiates the instability, below a certain jet exit velocity, diffusion dominates the entrainment process to make the jet non-oscillatory as observed for the Re = 30 case. Initiation of the instability was found to be dependent on the interaction of buoyancy and momentum forces along the jet shear layer.

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Toutouh, J., S. Nesmachnow, and D. G. Rossit. "Generative adversarial networks to model air pollution under uncertainty." In 1st International Workshop on Advanced Information and Computation Technologies and Systems 2020. Crossref, 2021. http://dx.doi.org/10.47350/aicts.2020.20.

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Urbanization trends worldwide show a clear preference for motorized road mobility, which has led to a degradation of air quality in recent years. Modelling and forecasting ambient air pollution is a relevant problem because it helps decision-makers and urban city planners understand this phenomenon, which is a significant threat to citizens’ health. Generally, datadriven models suffer from a lack of data. This article addresses the issue of having limited access to road traffic density and pollution concentration data by applying deep generative models, specifically, Conditional Generative Adversarial Networks (CGAN). The main idea is to train CGANs to generate synthetic nitrogen dioxide concentration values given the road traffic density. The experimental data analysis from Montevideo (Uruguay) shows that the proposed method generates realistic (accurate and diverse) pollution data while using reduced computational resources.

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Muramatsu, Akinori, and Yoshinobu Era. "Mixing of Carbon Dioxide Gas and Air by a Pulsating Jet With a Reversed Flow." In ASME/JSME 2003 4th Joint Fluids Summer Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/fedsm2003-45232.

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We consider pulsating jets as one method for the rapid mixing of two different gases. Pulsed carbon dioxide gas was issued from a round nozzle into still air. The intensity of the pulsation was set at the value which produced an oscillatory reversed flow in the nozzle exit. Spatial and temporal changes of concentration and velocity were investigated in the mixing region. The mixing of the gases is dramatically enhanced near the nozzle exit. Neither the concentration nor the velocity monotonically decays in the streamwise direction, because the ambient air is drawn periodically by the reversed flow. The direction of the velocity changes periodically at the boundary, which is the position where the mean concentration becomes the minimal value. The lump of any concentration is torn off because of the direction change in the velocity. There is also a phase difference between concentration and velocity.

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Norris, Colin, John L. Hoehne, and Boopathi Singalandapuram Mahadevan. "Intake Air Humidity Consideration for DEF Tank Sizing for Tier 4 Emission Compliance Engines." In ASME 2014 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icef2014-5526.

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The Environment Protection Agency (EPA) Tier 4 emission standard requires locomotive engines to meet emission compliance at any ambient humidity for an ambient temperature of 60 to 105 F and an altitude level of up to 7000 ft. The engine tests were run at a range of intake air humidity and temperature to determine oxides of Nitrogen (NOx) emissions sensitivity to humidity, intake air temp for large bore diesel engines and compared with humidity correction factor recommended by EPA. Further, the change in NOx concentration altered conversion efficiency of the Selective Catalytic Reduction (SCR) catalyst. Hence, the change in Ammonia to NOx ratio and amount of DEF fluid required to achieve target NOx emissions reduction were studied. Considering this effect, the doser and DEF tank sizing strategy was defined based on in-use ambient humidity, temperature and altitude test conditions in order to mitigate risk of running out of DEF fluid during in-use operation of locomotives.

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Reports on the topic "Ambient air concentration"

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Komppula, Birgitta, Tomi Karppinen, Henrik Virta, Anu-Maija Sundström, Iolanda Ialongo, Kaisa Korpi, Pia Anttila, Jatta Salmi, Johanna Tamminen, and Katja Lovén. Air quality in Finland according to air quality measurements and satellite observations. Finnish Meteorological Institute, September 2021. http://dx.doi.org/10.35614/isbn.9789523361409.

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In this report the current air quality in Finland has been assessed with air quality measurement data and satellite observations. The assessment of ambient air concentrations included following air impurities: NO2, NOx, PM10, PM2,5, SO2, CO, O3, benzo(a)pyrene, benzene, Pb, As, Cd ja Ni. For these pollutants air quality assessment thresholds are given in air quality legislation (2008/50/EY, 2004/107/EY). Assessment has been performed for air quality zones. The main data set included air quality measurements performed in Finland during 2015–2019. Satellite observations were used as an objective assessment tool in analysis of the spatial variation of NO2 and CO concentrations. Air quality measurements show that air quality has improved in Finland in many respects. Especially the need to monitor NO2 and PM10 with continuous measurements has decreased. Growing understanding of national benzo(a)pyrene concentrations has increased the monitoring needs. Efforts to decrease ozone levels still requires international actions. SO2, CO, benzene and heavy metal concentrations are on a low level in Finland outside industrial areas and other assessment methods than continuous monitoring can be used, and the number of continuous monitoring sites has already decreased. Satellite-based concentrations of nitrogen dioxide and carbon monoxide as well as their spatial variation in Finland were analyzed using observations from the TROPOsperic Monitoring Instrument (TROPOMI). The analysis of CO over Finland was carried out for the first time in this project. Results show that overall annual CO concentrations over Finland are low and spatial variability is small. Also, NO2 concentrations over Finland are rather low, but spatial patterns are more clearly visible. The highest NO2 concentrations are observed over the largest cities. By establishing a relationship between ground-based and satellite total column concentrations, surface concentrations of NO2 and CO were estimated from the satellite data for the zones. The satellite-based estimate for annual NO2 surface concentration over Helsinki metropolitan area is 28 μg/m3, and for the rest of Finland mostly between 10–15 μg/m3. For CO the differences between monitoring areas are small, with estimates varying between 160–164 μg/m3 or in other words about 0,16 mg/m3.

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Lattin, Rebecca Renee. Evaluating Precision of Measured Radionuclide Ambient Air Concentrations. Office of Scientific and Technical Information (OSTI), June 2020. http://dx.doi.org/10.2172/1635510.

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Lindberg, S. E., W. J. Stratton, P. Pai, and M. A. Allan. Concentrations of a water soluble, gas-phase mercury species in ambient air: Results from measurements and modeling. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/296860.

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David S. Shafer, David McGraw, Lynn H. Karr, Greg McCurdy, Tammy L. Kluesner, Karen J. Gray, and Jeffrey Tappen. Comparison of Ambient Radon Concentrations in Air in the Northern Mojave Desert from Continuous and Integrating Instruments. Office of Scientific and Technical Information (OSTI), May 2010. http://dx.doi.org/10.2172/1009522.

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K.W. Jacobson and C.F. Eberhart. Ambient Air Radionuclide Concentrations at and near TA-50 from 2003 through the First Quarter of 2004. Office of Scientific and Technical Information (OSTI), September 2005. http://dx.doi.org/10.2172/883455.

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Kwon, Jaymin, Yushin Ahn, and Steve Chung. Spatio-Temporal Analysis of the Roadside Transportation Related Air Quality (STARTRAQ) and Neighborhood Characterization. Mineta Transportation Institute, August 2021. http://dx.doi.org/10.31979/mti.2021.2010.

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To promote active transportation modes (such as bike ride and walking), and to create safer communities for easier access to transit, it is essential to provide consolidated data-driven transportation information to the public. The relevant and timely information from data facilitates the improvement of decision-making processes for the establishment of public policy and urban planning for sustainable growth, and for promoting public health in the region. For the characterization of the spatial variation of transportation-emitted air pollution in the Fresno/Clovis neighborhood in California, various species of particulate matters emitted from traffic sources were measured using real-time monitors and GPS loggers at over 100 neighborhood walking routes within 58 census tracts from the previous research, Children’s Health to Air Pollution Study - San Joaquin Valley (CHAPS-SJV). Roadside air pollution data show that PM2.5, black carbon, and PAHs were significantly elevated in the neighborhood walking air samples compared to indoor air or the ambient monitoring station in the Central Fresno area due to the immediate source proximity. The simultaneous parallel measurements in two neighborhoods which are distinctively different areas (High diesel High poverty vs. Low diesel Low poverty) showed that the higher pollution levels were observed when more frequent vehicular activities were occurring around the neighborhoods. Elevated PM2.5 concentrations near the roadways were evident with a high volume of traffic and in regions with more unpaved areas. Neighborhood walking air samples were influenced by immediate roadway traffic conditions, such as encounters with diesel trucks, approaching in close proximity to freeways and/or busy roadways, passing cigarette smokers, and gardening activity. The elevated black carbon concentrations occur near the highway corridors and regions with high diesel traffic and high industry. This project provides consolidated data-driven transportation information to the public including: 1. Transportation-related particle pollution data 2. Spatial analyses of geocoded vehicle emissions 3. Neighborhood characterization for the built environment such as cities, buildings, roads, parks, walkways, etc.

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