Respirable Crystalline Silica (RCS) emissions from industrial plants – Results from measurement programmes in Germany

Ehrlich, Chr.; Noll, G.; Wusterhausen, E.; Kalkoff, W; Remus, Ruben; Lehmann, Christopher

doi:10.1016/j.atmosenv.2012.10.069

Cited by 14 publications

(10 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When extracting minerals in the form of solids, large amounts of dust are emitted into the atmosphere. This mainly concerns Germany, Poland, and Spain, as well as other countries where mineral aggregates are extracted [35,36,92,93].…”

Section: Discussionmentioning

confidence: 99%

The Use of Artificial Neural Networks to Analyze Greenhouse Gas and Air Pollutant Emissions from the Mining and Quarrying Sector in the European Union

Brodny

Tutak

2020

Energies

View full text Add to dashboard Cite

The European Union (EU) is considered one of the most economically developed regions worldwide. It was driven by the mining industry for several decades. Despite certain changes in this area, a number of mineral and energy resources are still being mined in the EU. Nevertheless, mining activities are accompanied by many unfavorable phenomena, especially for the environment, such as greenhouse gas and air pollutant emissions. The great diversity of the EU countries in terms of the size of the "mining and quarrying" sector means that both the volume and structure of these emissions in individual countries varies. In order to assess the current state of affairs, research was conducted to look at the structure and volume of these emissions in individual EU countries. The aim of the study was to divide these countries into homogenous groups by structure and volume of studied emissions. In order to reflect both the specificity and diversity of the EU countries, this division was based on the seven most important gases (CO 2 , CH 4 , N 2 O, NH 3 , NMVOC, CO, NO x ) and two types of particulate matter (PM 2.5, PM 10) emitted into the atmosphere from the sector in question. The volume of studied emissions was also compared to the number of inhabitants of each EU country and the gross value added (GVA) by the mining and quarrying sector. This approach enabled a new and broader view on the issue of gas and air pollutant emissions associated with mining activities. The artificial Kohonen's neural networks were used for the analysis. The developed method, the analyses and the results constitute a new approach to studying such emissions in the EU. Research that looks only at the emission of harmful substances into the environment in relation to their absolute values fail to fully reflect the complexity of this problem in individual EU countries. The presented approach and the results should broaden the knowledge in the field of harmful substance emissions from the mining and quarrying sector, which should be utilized in the process of implementing the new European climate strategy referred to as "The European Green Deal".

show abstract

Section: Discussionmentioning

confidence: 99%

The Use of Artificial Neural Networks to Analyze Greenhouse Gas and Air Pollutant Emissions from the Mining and Quarrying Sector in the European Union

Brodny

Tutak

2020

Energies

View full text Add to dashboard Cite

show abstract

“…Based on epidemiological studies, crystalline silica dust was classified as a known carcinogen for humans [70,[79][80]. The study of mortality among industrial workers confirmed the causal link between lung cancer and crystalline silica exposure [75,[81][82].…”

Section: Effect Of Silica Dust On Human Healthmentioning

confidence: 99%

Silica Dust as an Additive in Concrete with Proven Impact on Human Health

Penkała

Ogrodnik

Rogula–Kozłowska

2019

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

“…They are widely used in various fields for characterizing aerosols, such as environmental dust and haze (e.g., Kang et al, 2013), coals (e.g., Wang et al, 2007;Kazanc et al, 2013), urban aerosols (e.g., Maenhaut et al, 2002;Salma et al, 2002;Wagner et al, 2008;Xie et al, 2009), drugs (e.g., Klemmer et al, 2013;McBride et al, 2013;Sultana et al, 2013;Zhu et al, 2014), and bacterial aerosols (e.g., Simon et al, 2013;Li 2013). In addition, impactors are commonly used for characterizing workplace environments (e.g., Cohen and Powers 2000;Chen et al, 2007;Wu and Vincent, 2007;Dahlin et al, 2008a;Dahlin et al, 2008b;Dall'Osto et al, 2008;Linnainmaa et al, 2008;Birch et al, 2011;Yang 2011;Coggins et al, 2012;Ehrlich et al, 2013). Most of them (MOUDI, ELPI, DLPI, BLPI, QCM impactor, etc.)…”

Section: Introductionmentioning

confidence: 99%

Quantification of Low Pressure Impactor Wall Deposits during Zinc Nanoparticle Sampling

Durand

Bau

Moréle

et al. 2014

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

A Dekati® low pressure impactor (DLPI) is used to determine the mass distribution of airborne particles from 7 nm to 10 µm as a function of aerodynamic diameter. Quantification of wall deposits inside this sampling device was performed for the first time using polydisperse zinc aerosol produced by a thermal spraying process. This aerosol is more representative of the size distribution found in occupational atmospheres than aerosols usually produced in laboratories. Each experiment (3 replicates) was carried out for two durations. The results showed that wall deposits were quite considerable and in relation with aerosol modes. 13% and 14% of the total mass was found on the wall after sampling periods of 5 and 20 minutes, respectively. Relative losses could reach 50% for certain impaction stages and these losses were also quite different between replicates.

show abstract

Respirable Crystalline Silica (RCS) emissions from industrial plants – Results from measurement programmes in Germany

Cited by 14 publications

References 1 publication

The Use of Artificial Neural Networks to Analyze Greenhouse Gas and Air Pollutant Emissions from the Mining and Quarrying Sector in the European Union

The Use of Artificial Neural Networks to Analyze Greenhouse Gas and Air Pollutant Emissions from the Mining and Quarrying Sector in the European Union

Silica Dust as an Additive in Concrete with Proven Impact on Human Health

Quantification of Low Pressure Impactor Wall Deposits during Zinc Nanoparticle Sampling

Contact Info

Product

Resources

About