Relevant bibliographies by topics / Parity dependence of pollutant concentrations

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Academic literature on the topic 'Parity dependence of pollutant concentrations'

Author: Grafiati
Published: 3 June 2025
Last updated: 19 July 2025

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Journal articles on the topic "Parity dependence of pollutant concentrations"

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N., Bravo, Hansen S., Økland I., et al. "Influence of maternal and sociodemographic characteristics on the accumulation of organohalogen compounds in Argentinian women. The EMASAR study." Environmental Research 158 (October 1, 2017): 759–67. https://doi.org/10.1016/j.envres.2017.07.033.

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The occurrence of organohalogen compounds in venous serum from post-partum mothers from two Argentinian cities, Salta and Ushuaia, has been investigated (n = 698). 4,4'-DDE was the most abundant compound in these cities, with geometric means of 33 and 67ng/g lipid weight, respectively. City of residence, age and parity were the main determinants of the accumulation of these compounds. Hexachlorobenzene (HCB) was the second most abundant pollutant in Ushuaia, 8.7ng/g lipid, and β-hexachlorocyclohexane (β-HCH) in Salta, 7.8ng/g lipid. Decabromodiphenyl ether was higher in Ushuaia than Salta, 8.2
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Kozlova, Anastasia, Marina Stepantsevich, Vladislav Kukartsev, Aleksey Losev, and Natalya Yagudaeva. "Statistical analysis of seasonal variations in pollutant concentrations in urban atmosphere." E3S Web of Conferences 592 (2024): 06010. http://dx.doi.org/10.1051/e3sconf/202459206010.

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In the context of global climate change and urbanization, the issue of air quality is becoming increasingly relevant. Air pollution poses a threat to human health and ecosystems, highlighting the need for monitoring the concentrations of pollutants. This study examines the seasonal variations in the concentrations of harmful substances in the urban atmosphere using statistical methods. The aim of the research is to analyze time series data on concentrations of carbon monoxide (CO), nitrogen oxide (NO), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), ammonia (NH3), and particulate mat
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Chan, Edward C., and Timothy M. Butler. "urbanChemFoam 1.0: large-eddy simulation of non-stationary chemical transport of traffic emissions in an idealized street canyon." Geoscientific Model Development 14, no. 7 (2021): 4555–72. http://dx.doi.org/10.5194/gmd-14-4555-2021.

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Abstract. This paper describes a large-eddy simulation based chemical transport model, developed under the OpenFOAM framework, implemented to simulate dispersion and chemical transformation of nitrogen oxides from traffic sources in an idealized street canyon. The dynamics of the model, in terms of mean velocity and turbulent fluctuation, are evaluated using available stationary measurements. A transient model run using a photostationary reaction mechanism for nitrogen oxides and ozone subsequently follows, where non-stationary conditions for meteorology, background concentrations, and traffic
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N., Bravo, Grimalt J.O., Chashchin M., Chashchin V.P., and Odland J.Ø. "Drivers of maternal accumulation of organohalogen pollutants in Arctic areas (Chukotka, Russia) and 4,4'-DDT effects on the newly born." Environment International 124 (January 26, 2019): 541–52. https://doi.org/10.17632/j69gbpgth5.1.

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BACKGROUND: One of the most worrying consequence of the production and use of persistent organohalogen pollutants (POPs) is the high accumulation in Arctic populations because of long-range transport. Study of the effects in these populations may illustrate human impacts that are difficult to assess in other locations with lower exposure to these compounds and more diverse pollutant influences. OBJECTIVE: We aimed to identify the main maternal characteristics influencing on the accumulation of these compounds and the effects on the newborns in a highly exposed Arctic population (Chukotka, Russ
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Girgždienė, Raselė, and Radvilė Rameikytė. "VARIATION OF PM10 MASS AND AEROSOL NUMBER CONCENTRATIONS IN ŠIAULIAI." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 15, no. 1 (2007): 47–53. http://dx.doi.org/10.3846/16486897.2007.9636907.

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The urban environment is distinguished by higher aerosol and gaseous pollutant concentrations than those in rural areas. A study of aerosol pollutant behavior was performed in an industrial Lithuanian city of Šiauliai. The PM10 mass concentration and meteorological parameter monitoring data were analysed. The aerosol number concentration was measured during a 10‐day experiment in Šiauliai. Analysis of PM10 showed that the workdays‐weekends phenomenon in the PM10 mass concentration distribution was prevailing. The PM10 mass concentration on workdays was higher in comparison with the concentrati
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Khuriganova, Olga I., Vladimir A. Obolkin, Liudmila P. Golobokova, Yuri S. Bukin, and Tamara V. Khodzher. "Passive Sampling as a Low-Cost Method for Monitoring Air Pollutants in the Baikal Region (Eastern Siberia)." Atmosphere 10, no. 8 (2019): 470. http://dx.doi.org/10.3390/atmos10080470.

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The measured concentrations of inorganic pollutants, such as ozone (2015–2018), sulfur, and nitrogen oxides (2012–2018) at air monitoring sites in the south of Eastern Siberia were sampled, following the passive sampling method, and analyzed. The spatial inhomogeneity of atmospheric gas concentrations is presented. The ozone concentration is lower in urban areas than those in rural areas and the background level. However, the nitrogen and sulfur oxide concentrations are higher in the atmosphere over the city site. The seasonal dependence of the ozone concentration was determined using its maxi
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Li, Dong, Jiping Liu, and Yangyang Zhao. "Prediction of Multi-Site PM2.5 Concentrations in Beijing Using CNN-Bi LSTM with CBAM." Atmosphere 13, no. 10 (2022): 1719. http://dx.doi.org/10.3390/atmos13101719.

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Air pollution is a growing problem and poses a challenge to people’s healthy lives. Accurate prediction of air pollutant concentrations is considered the key to air pollution warning and management. In this paper, a novel PM2.5 concentration prediction model, CBAM-CNN-Bi LSTM, is constructed by deep learning techniques based on the principles related to spatial big data. This model consists of the convolutional block attention module (CBAM), the convolutional neural network (CNN), and the bi-directional long short-term memory neural network (Bi LSTM). CBAM is applied to the extraction of featu
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Aguirre-López, Mario A., Miguel Angel Rodríguez-González, Roberto Soto-Villalobos, et al. "Statistical Analysis of PM10 Concentration in the Monterrey Metropolitan Area, Mexico (2010–2018)." Atmosphere 13, no. 2 (2022): 297. http://dx.doi.org/10.3390/atmos13020297.

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Air-quality monitoring and analysis are initial parts of a comprehensive strategy to prevent air pollution in cities. In such a context, statistical tools play an important role in determining the time-series trends, locating areas with high pollutant concentrations, and building predictive models. In this work, we analyzed the spatio-temporal behavior of the pollutant PM10 in the Monterrey Metropolitan Area (MMA), Mexico during the period 2010–2018 by applying statistical analysis to the time series of seven environmental stations. First, we used experimental variograms and scientific visuali
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Xu, W. Y., C. S. Zhao, L. Ran, et al. "Characteristics of pollutants and their correlation to meteorological conditions at a suburban site in the North China Plain." Atmospheric Chemistry and Physics Discussions 11, no. 3 (2011): 7113–54. http://dx.doi.org/10.5194/acpd-11-7113-2011.

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Abstract. North China Plain (NCP) is one of the most densely populated regions in China and has experienced enormous economic growth in the past decades. Its regional trace gas pollution has also become one of the top environmental concerns in China. Measurements of surface trace gases, including O3, NOx, SO2 and CO were carried out within the HaChi (Haze in China) project at Wuqing Meteorology Station, located between 2 mega-cities (Beijing and Tianjin) in the NCP, from 9 July 2009 to 21 January 2010. Detailed statistical analyses were made in order to provide information on the levels of the
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Xu, W. Y., C. S. Zhao, L. Ran, et al. "Characteristics of pollutants and their correlation to meteorological conditions at a suburban site in the North China Plain." Atmospheric Chemistry and Physics 11, no. 9 (2011): 4353–69. http://dx.doi.org/10.5194/acp-11-4353-2011.

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Abstract. North China Plain (NCP) is one of the most densely populated regions in China and has experienced enormous economic growth in the past decades. Its regional trace gas pollution has also become one of the top environmental concerns in China. Measurements of surface trace gases, including O3, NOx, SO2 and CO were carried out within the HaChi (Haze in China) project at Wuqing Meteorology Station, located between 2 mega-cities (Beijing and Tianjin) in the NCP, from 9 July 2009 to 21 January 2010. Detailed statistical analyses were made in order to provide information on the levels of the
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Conference papers on the topic "Parity dependence of pollutant concentrations"

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Jiang, P., I. Bychkov, J. Liu, and A. Hmelnov. "Predicting of air pollutant concentrations based on spatio-temporal attention convolutional LSTM networks." In 1st International Workshop on Advanced Information and Computation Technologies and Systems 2020. Crossref, 2021. http://dx.doi.org/10.47350/aicts.2020.09.

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Forecasting of air pollutant concentration, which is influenced by air pollution accumulation, traffic flow and industrial emissions, has attracted extensive attention for decades. In this paper, we propose a spatio-temporal attention convolutional long short term memory neural networks (Attention-CNN-LSTM) for air pollutant concentration forecasting. Firstly, we analyze the Granger causalities between different stations and establish a hyperparametric Gaussian vector weight function to determine spatial autocorrelation variables, which is used as part of the input feature. Secondly, convoluti
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Vidanapathirana, M., N. Perera, R. Emmanuel, and S. Coorey. "Can Colombo port city high-rise tower and podium morphology improve pollutant dispersion and urban ventilation?" In World Construction Symposium - 2023. Ceylon Institute of Builders - Sri Lanka, 2023. http://dx.doi.org/10.31705/wcs.2023.26.

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A rapid increase in high-rise building clusters within developing cities has led to mounting environmental and climatic issues. This is especially highlighted in Asian cities where extreme tropical climates are accentuated by ad-hoc developments, that in turn create unfavourable urban environments. Traffic emissions and air pollution, directly and indirectly, effect the Urban Heat Island (UHI) factor. Studies show that urban ventilation is a key mechanism to ameliorate UHI, reduce pollution stagnation, improve air quality, and reduce dependence on energy-consuming systems, thereby enhancing fu
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Journal articles
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