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Evaluating the dynamical characteristics of particle matter emissions in an open ore yard with industrial operation activities

Cong, X. C. ; Yang, G. S. ; Qu, J. H. ; Dai, M. X.

Environmental science and pollution research international, 2016-11, Vol.23 (21), p.21336-21349 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Título:
Evaluating the dynamical characteristics of particle matter emissions in an open ore yard with industrial operation activities
Autor: Cong, X. C. ; Yang, G. S. ; Qu, J. H. ; Dai, M. X.
Assuntos: Air Pollutants - analysis ; Air Pollutants - chemistry ; Air pollution ; Airborne particulates ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Coal mining ; Dust ; Earth and Environmental Science ; Ecotoxicology ; Emissions ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental Monitoring - methods ; Environmental science ; Humidity ; Industry ; Iron compounds ; Minerals - chemistry ; Motor Vehicles ; Outdoor air quality ; Particle Size ; Particulate Matter - analysis ; Particulate Matter - chemistry ; Research Article ; Shipyards ; Studies ; Traffic ; Vehicle Emissions - analysis ; Waste Water Technology ; Water Management ; Water Pollution Control ; Wind ; Working hours
É parte de: Environmental science and pollution research international, 2016-11, Vol.23 (21), p.21336-21349
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: A study to investigate the dynamical characteristics of particle matter emissions in a working open yard is conducted in Caofeidian Port of Hebei Province, China. The average diurnal concentrations of the total suspended particulate (TSP) matter and respirable particulate matter (PM 10 and PM 5 ) are monitored during the field measurement campaign. Sampling is performed at a regular interval at 8 monitoring stations in the yard with normal industrial activities. The average TSP, PM 10 and PM 5 concentrations range from 285 to 568, 198 to 423 and 189 to 330 μg.m-3 in the yard, respectively. The linear regression correlation coefficient of TSP/PM 10 and TSP/PM 5 is 0.95±0.01 and 0.88±0.02, respectively. By using the Spearman correlation method, the wind speed and relative humidity are both weakly correlated with the PM 10 and PM 5 concentrations according to the measurements. In addition, industrial operation activities, such as vehicular traffic in the yard and the loading time of stackers, are significantly positively correlated with the PM concentration. Using the multivariate regression method, the main parameters influencing the TSP concentration variations are integratedly analysed. The traffic volume is found to be a significant predictor of TSP concentration variation, with the smallest P value (P<0.05). To understand the dynamical characteristics of particle emissions in the yard, the emissions from the truck transports, that is, from unpaved haul roads and from the loading process, are established. Then, the dynamical emission factor (EF D ) based on the industrial activities in the yard is proposed. The dynamical emissions average 5.25x10 5 kg.year -1 and EF D is evaluated to be 0.29 kg.(ton.day) -1 during the measurement period. These outcomes have meaningful implications not only for understanding the dynamical characteristics of particle emissions in the working stockyard but also for implementing effective control measures at appropriate sites in the harbour area.
Editor: Berlin/Heidelberg: Springer Berlin Heidelberg
Idioma: Inglês

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Evaluating the dynamical characteristics of particle matter emissions in an open ore yard with industrial operation activities

Cong, X. C. ; Yang, G. S. ; Qu, J. H. ; Dai, M. X.

Berlin/Heidelberg: Springer Berlin Heidelberg

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