Comparision of Missing Imputaion Methods In fine dust data

2019 ◽  
Vol 4 (2) ◽  
pp. 105-110
Author(s):  
김연진 ◽  
박헌진
Keyword(s):  
Fine Dust

Study of face mask filtration efficiency to prevent fine dust to secure people’s right to health

2020 ◽  
Vol 19 (2) ◽  
pp. 186-193
Author(s):  
Woo-Taeg Kwon ◽  
◽  
Min-Jae Jung ◽  
Bum-Soo Kim ◽  
Woo-Sik Lee ◽  
...  
Keyword(s):  
Face Mask ◽  
Right To Health ◽  
Filtration Efficiency ◽  
Fine Dust

A Study on the Case of Dispute and Legislation Related to Fine Dust

2020 ◽  
Vol 13 (1) ◽  
pp. 3-24
Author(s):  
Minchul Kim ◽  
Keyword(s):  
Fine Dust

PHYTOMONITORING AS A METOD OF THE ASSESSMENT OF ATMOSPHERIC AIR POLLUTION BY URBAN ENVIRONMENT BY FINE DUST

2019 ◽  
pp. 42-53
Author(s):  
Irina Glinyanova ◽  
Valery Azarov ◽  
Valery Fomichev
Keyword(s):  
Urban Environment ◽  
Urban Areas ◽  
Fine Particles ◽  
Prunus Armeniaca ◽  
Dust Particles ◽  
Fine Dust ◽  
Control Zone ◽  
Atmospheric Air ◽  
Random Functions ◽  
The City

Fine dust: (PM2.5, PM10) is a priority pollutant that contributes to the development of numerous dis-eases in urban areas. The purpose of this scientific work is to study the dispersed composition of dust parti-cles on the leaves of apricot trees (Prúnus armeníaca) in the residential zone of Volgograd. The novelty of the work lies in the study of the dispersed composition of dust particles on the leaves of apricot trees (Prúnus armeníaca) in the residential zone in the city of Volgograd near the construction industry enterprise, me-chanical engineering, leather production and railway transport line in comparison with the conditionally clean (control) zone of the SNT “Orocenets” ”(Sovetsky District, Volgograd) from the standpoint of random functions expressed by integral distribution curves of the mass of particles over their equivalent diameters. As a result of the research, the dispersed composition of dust on the leaves of apricot trees (Prúnus ar-meníaca) in the residential area of Volgograd was revealed. Fine particles were found: PM2.5, PM10 in each of the studied points, which by their values, both in their number and mass fraction, significantly exceed the data on fine dust in a conditionally clean area (control) in the SNT “Oroshanets” (Sovetsky district Volgo-grad), which creates certain environmental risks for local residents. The dispersed analysis of particles from the standpoint of random functions in the future will allow with a sufficiently high degree of accuracy to pre-dict the dust content of urban atmospheric air in the range of monthly and / or seasonal average values compared to the traditional measurement of fine dust concentration in atmospheric air of the urban environ-ment as the maximum single or daily average. At the same time, further studies of dust on the leaves of plants in an urban environment, namely, the study of the density of its sedimentation, will also reveal a group of ur-ban plants that are best suited to retain PM2.5 and PM10 on leaf plates in this region, which can significantly increase the quality of the atmospheric air of the urban environment and be of a recommendatory nature for the state-owned landscaping services of the city of Volgograd when improving the green areas of a megacity.

scholarly journals Fine Dust and Sustainable Supply Chain Management in Port Operations: Focus on the Major Cargo Handled at the Dry Bulk Port

2020 ◽  
Vol 8 (7) ◽  
pp. 530
Author(s):  
Jeho Hwang ◽  
Sihyun Kim
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Local Community ◽  
Local Level ◽  
Green Technology ◽  
Control Measures ◽  
Fine Dust ◽  
Causality Test ◽  
Sustainable Operations ◽  
Port Operations

Local residents living adjacent to ports are directly affected by the fine dust generated from the port operations. There is a need to prepare detailed measures according to cargo type given the high correlation between the types of dust-producing cargo primarily managed at ports and local industries. This study attempts to establish the attributes of the cargo handled at ports and the relationship between supply chains built for local key industries and the air quality of the local community. It aims to ascertain which cargo needs managing preemptively at the local level, based on the major cargo types handled in a port. A correlation analysis and Granger causality test were performed to investigate the causality between the factor of cargo and fine dust concentrations. The results in this study indicate the necessity for intensive management of scrap metal cargo among the major cargo handled at the target port, which confirms the large effect of management on fine dust reduction, as well as on reduction efficiency. The results suggest requirements to expand the regulations on the emissions of supply chains by cargo type, not by industry type. Additionally, it is required to minimize the blind spots of management and form an eco-friendly supply chain by introducing green technology. The preparation of emission control measures is also necessary. The findings provide useful insights for the sustainable operations of the local supply chain around the target port and will help the strategic agenda for future improvement.

scholarly journals Sensitivity analysis of fine dust spreading from litter in poultry houses

2021 ◽  
Vol 208 ◽  
pp. 272-286
Author(s):  
Sayed M. Derakhshani ◽  
Nico W.M. Ogink ◽  
Bram A.P. Bos ◽  
Peter W.G. Groot Koerkamp
Keyword(s):  
Sensitivity Analysis ◽  
Fine Dust ◽  
Poultry Houses

INFLUENCE OF THE EFFECT OF ELECTROHYDRODYNAMIC DISINTEGRATION OF CHARGED DROPS ON FINE DUST COLLECTION IN WET SCRUBBERS

2001 ◽  
Vol 32 ◽  
pp. 947-948
Author(s):  
AN. M. BOLOGA ◽  
AL. M. BOLOGA ◽  
H.-R. PAUR ◽  
H. SEIFERT
Keyword(s):  
Fine Dust ◽  
Dust Collection ◽  
Wet Scrubbers

scholarly journals Quantitative analysis of fine dust particles on moss surfaces under laboratory conditions using the example of Brachythecium rutabulum

2021 ◽  
Author(s):  
Bilitis Désirée Vanicela ◽  
Martin Nebel ◽  
Marielle Stephan ◽  
Christoph Riethmüller ◽  
Götz Theo Gresser
Keyword(s):  
Fine Fraction ◽  
Model Organism ◽  
Dust Particles ◽  
Quantitative Detection ◽  
Suitable Model ◽  
Fine Dust ◽  
Sem Images ◽  
Moss Species ◽  
Laboratory Conditions ◽  
Number Of Particles

AbstractThe identification of a model organism for investigations of fine dust deposits on moss leaflets was presented. An optical method with SEM enabled the quantitative detection of fine dust particles in two orders of magnitude. Selection criteria were developed with which further moss species can be identified in order to quantify the number of fine dust particles on moss surfaces using the presented method. Among the five moss species examined, B. rutabulum had proven to be the most suitable model organism for the method presented here. The number of fine dust particles on the moss surface of B. rutabulum was documented during 4 weeks of cultivation in the laboratory using SEM images and a counting method. The fine dust particles were recorded in the order of 10 μm–0.3 μm, divided into two size classes and counted. Under laboratory conditions, the number of particles of the fine fraction 2.4 μm–0.3 μm decreased significantly.

Sign in / Sign up

Export Citation Format

Share Document