Chemical Characteristics of Fine Particulate Matter in Poland in Relation with Data from Selected Rural and Urban Background Stations in Europe

Błaszczak, Barbara; Widziewicz-Rzońca, Kamila; Zioła, Natalia; Klejnowski, Krzysztof; Juda-Rezler, Katarzyna

doi:10.3390/app9010098

Cited by 17 publications

(13 citation statements)

References 82 publications

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“…BCCCC is a better tool for the domain experts to prioritize those articles that report conclusive results on the same associations. The article prioritization service provided by BCCCC can also be used to improve those bibliometric techniques that analyze articles about specific topics obtained by a keyword-based search (e.g., using the topic names and their related terms as keywords to get articles about equipment maintenance [4], pavement management [16], and pollution by particulate matter [17]). With the keyword-based search, many articles that do not focus on the topics may be retrieved, and conversely, many articles that focus on the topics may not be retrieved.…”

Section: Bc(a1 A2)mentioning

confidence: 99%

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Improving Bibliographic Coupling with Category-Based Cocitation

Liu

Hsu

2019

Applied Sciences

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Bibliographic coupling (BC) is a similarity measure for scientific articles. It works based on an expectation that two articles that cite a similar set of references may focus on related (or even the same) research issues. For analysis and mapping of scientific literature, BC is an essential measure, and it can also be integrated with different kinds of measures. Further improvement of BC is thus of both practical and technical significance. In this paper, we propose a novel measure that improves BC by tackling its main weakness: two related articles may still cite different references. Category-based cocitation (category-based CC) is proposed to estimate how these different references are related to each other, based on the assumption that two different references may be related if they are cited by articles in the same categories about specific topics. The proposed measure is thus named BCCCC (Bibliographic Coupling with Category-based Cocitation). Performance of BCCCC is evaluated by experimentation and case study. The results show that BCCCC performs significantly better than state-of-the-art variants of BC in identifying highly related articles, which report conclusive results on the same specific topics. An experiment also shows that BCCCC provides helpful information to further improve a biomedical search engine. BCCCC is thus an enhanced version of BC, which is a fundamental measure for retrieval and analysis of scientific literature.

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Section: Bc(a1 A2)mentioning

confidence: 99%

“…Therefore, there often exist tradeoffs between precision and recall, and hence the F1 measure is computed. F1 is a measure commonly used in information retrieval studies to harmonically integrate precision and recall (see Equation (17)).…”

Section: Potential Application Of Bcccc To Biomedical Search Enginesmentioning

confidence: 99%

Improving Bibliographic Coupling with Category-Based Cocitation

Liu

Hsu

2019

Applied Sciences

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“…Annual and daily concentrations of particulate matter measured in urban and suburban areas often exceed World Health Organization (WHO), European Union (EU), and national levels [16][17][18]. Therefore, it is necessary to monitor particulate concentrations in order to identify sources and improve air quality in terms of reducing the concentration of pollutants from anthropic sources [19][20][21][22][23][24][25]. Monitoring of air pollution concentrations is also necessary to analyze the occurrence of related illnesses in a given area and implement appropriate preventive measures in the field of health protection [26].…”

Section: Introductionmentioning

confidence: 99%

Regression Model of PM2.5 Concentration in a Single-Family House

Załuska

Gładyszewska-Fiedoruk

2020

Sustainability

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The purpose of this study is to model air pollution with the PM2.5 suspended particulate in a single-family house located in Bialystok. A linear regression model was developed that describes the relationship between the concentration of PM2.5 (response variable) in a building and external factors: concentrations of PM10 and PM2.5 particulates, air temperature and relative humidity (independent variables). Statistical and substantive verification of the model indicates that the concentration of PM10 in outdoor air is the variable most strongly affecting the concentration of harmful PM2.5 in indoor air. The model therefore allows estimating the concentration of PM2.5 in the building on the basis of data on the concentration of PM10 outside the tested object, which can be useful for assessing indoor air quality without using a measuring tool inside the building. Excel and GRETL were used to develop the model.

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“…With the rapid development of economy and society in China, the enormous amount of energy consumption caused severe air pollution problems [1][2][3][4][5]. The flue gas emitted by coal-fired power plants contains a variety of fine particles, which are major air pollutants in some big cities.…”

Section: Introductionmentioning

confidence: 99%

The Influences of Acoustic and Pulsed Corona Discharge Coupling Field on Agglomeration of Monodisperse Fine Particles

He¹,

Luo²,

Wang³

2020

Applied Sciences

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In view of the low efficiency of traditional electrostatic precipitators in removing fine particles, acoustic and pulsed corona discharge coupling fields were proposed to increase particle size. In this paper, monodisperse particles with three different sizes (0.5 μm, 2 μm, and 4 μm) were generated to investigate the agglomeration effect under different parameters in external fields. A larger reduction ratio of particle number concentration resulted in a higher agglomeration efficiency. Results indicated that, in the range from 800 to 2400 Hz, the acoustic agglomeration effect on 4-μm particles was better than that on 0.5-μm and 2-μm particles. In the pulsed corona discharge field, agglomeration efficiencies of the three particle sizes were lower than those in the acoustic field. However, application of the coupling field highly improved agglomeration efficiency compared with the single field. When a pulse input voltage of 50 kV with acoustic sound pressure level (SPL) of 143 dB and frequency of 1600 Hz was selected, the corresponding number reduction ratio of 0.5-μm, 2-μm, and 4-μm particles increased to 0.464, 0.526, and 0.918 from 0.254, 0.438, and 0.814 in the acoustic wave field and 0.226, 0.385, and 0.794 in the pulsed corona discharge field.

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Chemical Characteristics of Fine Particulate Matter in Poland in Relation with Data from Selected Rural and Urban Background Stations in Europe

Cited by 17 publications

References 82 publications

Improving Bibliographic Coupling with Category-Based Cocitation

Improving Bibliographic Coupling with Category-Based Cocitation

Regression Model of PM2.5 Concentration in a Single-Family House

The Influences of Acoustic and Pulsed Corona Discharge Coupling Field on Agglomeration of Monodisperse Fine Particles

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