2018
DOI: 10.1016/j.envint.2017.12.018
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A study of particulate emissions during 23 major industrial fires: Implications for human health

Abstract: Public exposure to significantly elevated levels of particulate matter (PM) as a result of major fires at industrial sites is a worldwide problem. Our paper describes how the United Kingdom developed its Air Quality in Major Incidents (AQinMI) service to provide fire emission plume concentration data for use by managers at the time of the incident and to allow an informed public health response. It is one of the first civilian services of its type anywhere in the world. Based on the involvement of several of t… Show more

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Cited by 23 publications
(29 citation statements)
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“…(3) Several studies have employed sampling periods of 10 min to measure the within-day variability of PM concentrations (Godri et al, 2010;Griffiths et al, 2018) and few studies have proven that the performance characteristics of some low-cost sensors on 1 min and 1 h scales were rather similar (Zheng et al, 2018). However, it needs to be noted that this assumption was proposed under the circumstance that the weather condition and emission sources of the study area demonstrate no extreme variation in the short term.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…(3) Several studies have employed sampling periods of 10 min to measure the within-day variability of PM concentrations (Godri et al, 2010;Griffiths et al, 2018) and few studies have proven that the performance characteristics of some low-cost sensors on 1 min and 1 h scales were rather similar (Zheng et al, 2018). However, it needs to be noted that this assumption was proposed under the circumstance that the weather condition and emission sources of the study area demonstrate no extreme variation in the short term.…”
Section: Discussionmentioning
confidence: 99%
“…Fine particulate matter (PM 2.5 ) has been associated with an increased risk of morbidity and mortality in both the long term and the short term (Beverland et al, 2012;Di et al, 2017;Lelieveld et al, 2015). The persistent cumulative effects from exposure in daily activities, especially daily travelling, are critical (Kingham et al, 2013;Hankey et al, 2017). If individuals could consciously choose the location and time of their outdoor activities based on detailed knowledge about the spatio-temporal variation in PM 2.5 concentration, then their health protection could be improved.…”
Section: Introductionmentioning
confidence: 99%
“…This technology, in the form of the Osiris monitor, has been widely used for ambient particulate monitoring in urban environments (King and Dorling 1997) as well as in major fire incidents (Griffiths et al 2015). It has also been used for investigating individual exposure to particulates during different modes of travel (Gulliver and Briggs 2004, 2007).…”
Section: Methodsmentioning
confidence: 99%
“…Fires are important source of pollutant emission to the atmosphere, which translates into impact on the environment and human health, both on a local, regional or global scale. The most important air pollutants are particulate matter (PM), carbon dioxide (CO 2 ), carbon monoxide (CO), including sulfur dioxide (SO 2 ), nitrogen oxides (NO x ) and nitrous oxide (N 2 O), hydrogen cyanide (HCN), phosphorus pentoxide (P 2 O 5 ), hydrogen chloride (HCl), hydrogen fluoride (HF), hydrogen bromide (HBr), acrolein, formaldehyde, and organic contaminants including methane (CH 4 ), non-methane hydrocarbons (NMHC), polycyclic aromatic hydrocarbons (PAHs), dioxins and dibenzofuran [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…The impact of fires on air quality depends on meteorology, fire dynamic, the amount and chemical composition of fuel, and the atmosphere. For example, the concentration of PM10 during various fires can range from 340 μg/m 3 to 6000 μg/m 3 [6]. Firefighters participating in rescue and firefighting operations may experience or have direct, acute or chronic effects due to exposure to smoke.…”
Section: Introductionmentioning
confidence: 99%