Effects of long-range transported air pollution from vegetation fires on daily mortality and hospital admissions in the Helsinki metropolitan area, Finland

Kollanus, Virpi; Tiittanen, Pekka; Niemi, Jarkko V.; Lanki, Timo

doi:10.1016/j.envres.2016.08.003

Cited by 79 publications

(55 citation statements)

References 46 publications

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“…Wildfire smoke contains a wide range of compounds known to be harmful to human health, including fine particulate matter (PM 2.5 ), acrolein, benzene, carbon monoxide, and polycyclic aromatic hydrocarbons [8,9]. Exposure to these toxic compounds is of concern near the source, and extending several hundred to thousands of kilometers away [10][11][12]. While it has been shown that the toxic compounds from wildfire smoke travel long distances from the source, potentially exposing thousands of individuals, the health effects associated with wildfire smoke exposure are just beginning to be understood [13].…”

Section: Introductionmentioning

confidence: 99%

Mortality associated with wildfire smoke exposure in Washington state, 2006–2017: a case-crossover study

et al. 2020

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Background: Wildfire events are increasing in prevalence in the western United States. Research has found mixed results on the degree to which exposure to wildfire smoke is associated with an increased risk of mortality. Methods: We tested for an association between exposure to wildfire smoke and non-traumatic mortality in Washington State, USA. We characterized wildfire smoke days as binary for grid cells based on daily average PM 2.5 concentrations, from June 1 through September 30, 2006-2017. Wildfire smoke days were defined as all days with assigned monitor concentration above a PM 2.5 value of 20.4 μg/m 3 , with an additional set of criteria applied to days between 9 and 20.4 μg/m 3. We employed a case-crossover study design using conditional logistic regression and time-stratified referent sampling, controlling for humidex. Results: The odds of all-ages non-traumatic mortality with same-day exposure was 1.0% (95% CI: − 1.0-4.0%) greater on wildfire smoke days compared to non-wildfire smoke days, and the previous day's exposure was associated with a 2.0% (95% CI: 0.0-5.0%) increase. When stratified by cause of mortality, odds of same-day respiratory mortality increased by 9.0% (95% CI: 0.0-18.0%), while the odds of same-day COPD mortality increased by 14.0% (95% CI: 2.0-26.0%). In subgroup analyses, we observed a 35.0% (95% CI: 9.0-67.0%) increase in the odds of same-day respiratory mortality for adults ages 45-64. Conclusions: This study suggests increased odds of mortality in the first few days following wildfire smoke exposure. It is the first to examine this relationship in Washington State and will help inform local and state risk communication efforts and decision-making during future wildfire smoke events.

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Section: Introductionmentioning

confidence: 99%

Mortality associated with wildfire smoke exposure in Washington state, 2006–2017: a case-crossover study

et al. 2020

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“…In Helsinki, the greater impact may also be explained by the synergistic effect of heat waves and air pollution. In fact, long-range transport of pollutants from forest fires have been shown to have an effect on health outcomes [ 42 ].…”

Section: Discussionmentioning

confidence: 99%

The inter-annual variability of heat-related mortality in nine European cities (1990–2010)

Scortichini¹,

de’Donato²,

Sario³

et al. 2018

Environ Health

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BackgroundThe association between heat and daily mortality and its temporal variation are well known. However, few studies have analyzed the inter-annual variations in both the risk estimates and impacts of heat. The aim is to estimate inter-annual variations in the effect of heat for a fixed temperature range, on mortality in 9 European cities included in the PHASE (Public Health Adaptation Strategies to Extreme weather events) project for the period 1990–2010. The second aim is to evaluate overall summer effects and heat–attributable deaths for each year included in the study period, considering the entire air temperature range (both mild and extreme temperatures).MethodsA city-specific daily time-series analysis was performed, using a generalized additive Poisson regression model, restricted to the warm season (April–September). To study the temporal variation for a fixed air temperature range, a Bayesian Change Point analysis was applied to the relative risks of mortality for a 2 °C increase over the 90th percentile of the city-specific distribution. The number of heat attributable deaths in each summer were also calculated for mild (reference to 95th percentile) and extreme heat (95th percentile to maximum value).ResultsA decline in the effects of heat over time was observed in Athens and Rome when considering a fixed interval, while an increase in effects was observed in Helsinki. The greatest impact of heat in terms of attributable deaths was observed in the Mediterranean cities (Athens, Barcelona and Rome) for extreme air temperatures. In the other cities the impact was mostly related to extreme years with 2003 as a record breaking year in Paris (+ 1900 deaths) and London (+ 1200 deaths).ConclusionsMonitoring the impact of heat over time is important to identify changes in population vulnerability and evaluate adaptation measures.Electronic supplementary materialThe online version of this article (10.1186/s12940-018-0411-0) contains supplementary material, which is available to authorized users.

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“…According to the recent studies, both the local sources and the regional transport would affected the air quality of city [5][6] . Seventy-two-hour back trajectories were applied to understand the relationship between hourly PM 2.5 concentrations and transport pathway of the air masses in Panjin.…”

Section: Resultsmentioning

confidence: 99%

Potential Sources of Air Pollutant in Panjin

Chen¹,

Yu²,

Zhang³

et al. 2017

dteees

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Abstract. The Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT), potential source contribution function (PSCF) were used to identify the transport pathways and identify potential sources of air pollution in Panjin. Three haze events were occurred in the campaign: period 1 (Nov. 2-3), period 2 (Nov. 6-14) and period 3 (Nov. 29-30) during November, 2015. The back-trajectories and PSCF analysis of three haze episodes show different air transport paths, however, Inner Mongolia and Liaoning province mostly affects the air quality of Panjin. Thus, it is necessary to enlarge degree of pollution prevention and treatment in Inner Mongolia and Gansu province to improve air quality at Panjin.

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Effects of long-range transported air pollution from vegetation fires on daily mortality and hospital admissions in the Helsinki metropolitan area, Finland

Cited by 79 publications

References 46 publications

Mortality associated with wildfire smoke exposure in Washington state, 2006–2017: a case-crossover study

Mortality associated with wildfire smoke exposure in Washington state, 2006–2017: a case-crossover study

The inter-annual variability of heat-related mortality in nine European cities (1990–2010)

Potential Sources of Air Pollutant in Panjin

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