Particle size-dependent radical generation from wildland fire smoke

Leonard, Stephen S.; Castranova, Vince; Chen, Bean T.; Schwegler‐Berry, Diane; Hoover, Mark D.; Piacitelli, Chris; Gaughan, Denise M.

doi:10.1016/j.tox.2007.04.008

Cited by 82 publications

(62 citation statements)

References 44 publications

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“…A study on particles released from wild land fires in Alaska shows that coarse and ultrafine particles contain abundant levels of carbon and OH radicals respectively [9]. This study shows that all sizes of particles can cause DNA damage.…”

Section: Discussionmentioning

confidence: 78%

Particulate Matter and Subjective Respiratory Health Effect Measurements in Palembang during Forest Fire Episode in October 2015

Ramdhan¹,

Rizky²,

Atmajaya³

et al. 2018

KLS

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Particulate matter is a mixture of solid particles and liquid droplets that can gather in the atmosphere. Wild land fires are uncontrollable land fires that consume combustible plants and emit significant amounts of carbon dioxide, methane, non-methane volatile organic compounds, nitrogen oxides, and particulates. This research was conducted to measure the fine particulate matter (PM 2.5 ) pollution during October 2015 that was caused by a September forest fire in Palembang, one of the cities most affected by wildfires in Indonesia. Sampling was based on the United States Environmental Protection Agency (US EPA) IP 10-A Method updated by SKC Ltd and was conducted every day for a week for six hours each day, divided into morning and evening sequences. Coarse and fine particles were filtered using a Sioutas Impactor and a Leland Legacy personal pump with a flow rate of 9 L/min. Quartz fiber filters were placed in every stage of the impactor to collect the particles. Particulate matter (PM) concentration was measured using the gravimetric method. The weighing was done using a Mettler Toledo MX5 microbalance. Questionnaires were used to gather information on health problems from 63 adults and 54 children from Palembang.The mean concentrations of coarse and fine particulate matter (PM 10 and PM 2.5 ) in Palembang during the measurement periods were determined to be 818.78 µg/m 3 and 672.99 µg/m 3 respectively. The peak measurements for the 24-hour mean concentrations ofPM 10 and PM 2.5 on October 21, 2015 were 1,369.34µg/m 3 and 1,246.92 µg/m 3 respectively. Both PM groups exceeded the 24-hour standards for PM 10 and PM 2.5 concentrations outlined in the WHO Air Quality Guidelines and the US EPA National Ambient Air Quality Standards. Based on the results of the questionnaires, more than two-thirds of both children and adults experienced sneezing, nasal congestion, influenza, and dry cough during the forest fire episode. In conclusion, the particle pollution in Palembang city that was caused by the forest fire was hazardous to human health, and further research is needed to explore the health effects resulting from forest fire pollution that may affect Palembang's citizens.

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Section: Discussionmentioning

confidence: 78%

Particulate Matter and Subjective Respiratory Health Effect Measurements in Palembang during Forest Fire Episode in October 2015

Ramdhan¹,

Rizky²,

Atmajaya³

et al. 2018

KLS

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“…También se ha descrito un incremento de marcadores de lesiones oxidativas en ADN a partir de muestras de esputo 89 y leucocitos mononucleares de sangre periférica (PBMC) 87,90 de sujetos expuestos crónicamente a humo de biomasa, así como una reducción de la capacidad de reparar estas lesiones en dichos sujetos 85,90,62 . Diversos trabajos realizados con modelos animales [91][92][93][94] o células en cultivo 89,[95][96][97][98][99][100][101][102][103][104] respaldan estos resultados, al encontrarse un aumento de la producción de ERO, citoquinas, productos de peroxidación lipídica y lesiones oxidativas en ADN o un decremento de los mecanismos antioxidantes con la exposición a humo de biomasa. Así, el estrés oxidativo se presenta como una vía importante para los efectos nocivos de este tipo de contaminante.…”

Section: Mecanismos Oxidativos Y Genotoxicidadunclassified

Mecanismos patogénicos en la enfermedad pulmonar obstructiva crónica causada por exposición a humo de biomasa

Silva

Oyarzún

Olloquequi

2015

Archivos de Bronconeumología

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“…operations is of particular concern (Reinhardt and Ottmar, 2004;Leonard et al, 2007). Fire experimental fields in France (Barboni et al, 2010) and Portugal (Miranda et al, 2005) have revealed concentrations of toxic air pollutants well above exposure limit values set by the European regulatory rules.…”

Section: Leroy-cancellieri Et Al: Evaluation Of Wildland Fire Smomentioning

confidence: 99%

Evaluation of wildland fire smoke plume dynamics and aerosol load using UV scanning lidar and fire–atmosphere modelling during the Mediterranean Letia 2010 experiment

Leroy-Cancellieri

Augustin

Filippi

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract. Vegetation fires emit large amount of gases and aerosols which are detrimental to human health. Smoke exposure near and downwind of fires depends on the fire propagation, the atmospheric circulations and the burnt vegetation. A better knowledge of the interaction between wildfire and atmosphere is a primary requirement to investigate fire smoke and particle transport. The purpose of this paper is to highlight the usefulness of an UV scanning lidar to characterise the fire smoke plume and consequently validate fireatmosphere model simulations.An instrumented burn was conducted in a Mediterranean area typical of ones frequently subject to wildfire with low dense shrubs. Using lidar measurements positioned near the experimental site, fire smoke plume was thoroughly characterised by its optical properties, edge and dynamics. These parameters were obtained by combining methods based on lidar inversion technique, wavelet edge detection and a backscatter barycentre technique. The smoke plume displacement was determined using a digital video camera coupled with the lidar.The simulation was performed using a mesoscale atmospheric model in a large eddy simulation configuration (Meso-NH) coupled to a fire propagation physical model (ForeFire), taking into account the effect of wind, slope and fuel properties. A passive numerical scalar tracer was injected in the model at fire location to mimic the smoke plume. The simulated fire smoke plume width remained within the edge smoke plume obtained from lidar measurements. The maximum smoke injection derived from lidar backscatter coefficients and the simulated passive tracer was around 200 m. The vertical position of the simulated plume barycentre was systematically below the barycentre derived from the lidar backscatter coefficients due to the oversimplified properties of the passive tracer compared to real aerosol particles. Simulated speed and horizontal location of the plume compared well with the observations derived from the videography and lidar method, suggesting that fire convection and advection were correctly taken into account.

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Particle size-dependent radical generation from wildland fire smoke

Cited by 82 publications

References 44 publications

Particulate Matter and Subjective Respiratory Health Effect Measurements in Palembang during Forest Fire Episode in October 2015

Particulate Matter and Subjective Respiratory Health Effect Measurements in Palembang during Forest Fire Episode in October 2015

Mecanismos patogénicos en la enfermedad pulmonar obstructiva crónica causada por exposición a humo de biomasa

Evaluation of wildland fire smoke plume dynamics and aerosol load using UV scanning lidar and fire–atmosphere modelling during the Mediterranean Letia 2010 experiment

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