Particulate matter sources and long-term trends in a small New Zealand city

Ancelet, Travis; Davy, Perry; Trompetter, W.J.

doi:10.1016/j.apr.2015.06.008

Cited by 8 publications

(5 citation statements)

References 32 publications

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“…The non-parametric method of Theil-Sen (Theil, 1950;Sen, 1968) has its advantages, such as resistance to outliers, besides also being used in non-normal and heteroscedastic data series (Ancelet et al, 2015;Mateus and Gioda, 2017). Bootstrap sampling was used to get the 95% confidence intervals and p-values (Mateus and Gioda, 2017).…”

Section: Trend Analysismentioning

confidence: 99%

“…Bootstrap sampling was used to get the 95% confidence intervals and p-values (Mateus and Gioda, 2017). Data were deseasonalized using loess (Carslaw and Ropkins, 2012;Carslaw, 2019), because of the strong effect that the seasonal cycles can have on trend analyses (Ancelet et al, 2015;Mateus and Gioda, 2017). Seasonal cycles affect the results of the trend analysis because the weather can also have significant influences on the local concentrations of pollutants (Ancelet et al, 2015).…”

Section: Trend Analysismentioning

confidence: 99%

“…This study aimed to use the trend analysis of daily data (average daily concentration of PM 10 ), different from the one used in several previous studies, where the monthly average (Ancelet et al, 2015;Mateus and Gioda, 2017;Fenech and Aquilina, 2020) or the annual average (Munir et al, 2013; was used. This methodology adaptation is due to the period of the strike, which lasted only a few days.…”

Section: Trend Analysismentioning

confidence: 99%

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Brazilian truckers’ strike and particulate matter (PM10) concentration: Temporal trend and time series models

Nogarotto

Canteras

Pozza

2022

Rev. Bras. Ciênc. Ambient.

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High particulate matter (PM) emissions from vehicular traffic impact air quality in urban areas. In 2018, a truckers’ strike interrupted some of the services in Brazil, leading to a fuel outage in several cities that significantly reduced the flow of vehicles. This study evaluated air quality during the strike in two cities (Limeira and Campinas) in Southeastern Brazil. PM10 concentration was analyzed in the periods before (BTS — 05/01/2018 to 05/22/2018), during (DTS — 05/23/2018 to 05/30/2018), and after (ATS — 05/31/2018 to 06/30/2018) the strike using the Theil-Sen method and the Autoregressive Integrated Moving Average model with Exogenous Variables (ARIMAX). A reduction in the PM daily mean concentration in both cities occurred during the strike. Considering the daily peak time of vehicular flow (6:00 p.m.), the PM10 concentration was 20% higher in the BTS period compared to the DTS period for both cities. In comparison, the ATS period showed concentrations 17% (Limeira) and 7% (Campinas) higher when compared with the DTS period. The variations were statistically significant based on the time series models, and the influences of wind speed, rainfall on the sampling day and the day before sampling, and weekends were also evaluated. It was also possible to verify the contribution of the truckers’ strike to the PM10concentration in the two cities evaluated. In Limeira, truck traffic had a greater influence on the concentration of PM10, while in Campinas, the contribution of trucks was like that of light vehicles. Based on the variation of the PM10 concentration, the influence of changes in vehicle emission dynamics, one of the main sources of emission in the regions studied, was observed. The results indicate that restricting vehicular traffic had an immediate impact on improving air quality. Therefore, public investment in other types of transport and traffic control policies are suggested.

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Section: Trend Analysismentioning

confidence: 99%

Section: Trend Analysismentioning

confidence: 99%

Section: Trend Analysismentioning

confidence: 99%

See 1 more Smart Citation

Brazilian truckers’ strike and particulate matter (PM10) concentration: Temporal trend and time series models

Nogarotto

Canteras

Pozza

2022

Rev. Bras. Ciênc. Ambient.

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“…O cálculo de tendência escolhido foi a metodologia de Theilsen. Observando que que as series históricas dos poluentes são considerados não-normais e possuem uma variância de erro não-constante este método é considerado como o mais apropriado (CARSLAW, 2012), sendo comumente utilizado na descrição de comportamento e tendências de poluentes (MUNIR et al, 2013;ANCELET et al, 2015, BIGI e GHERMANDI, 2014SZULECKA et al, 2017). O cálculo de Theilsen foi aplicado através do pacote Openair junto ao software R, o mesmo pelo qual se geraram os gráficos, que indicam a direção e força da linha de tendência e a média mensal do poluente analisado.…”

Section: Ambos Os Dados Foram Fornecidos Pelas Estações Oficiais De Munclassified

Ozônio Troposférico E Mudanças Climáticas:

Castelhano

2019

RGEO-UFJF

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O Ozônio troposférico é um poluente secundário que se forma a partir da quebra de óxidos de nitrogênio pela ação da radiação solar e da presença de compostos orgânicos voláteis na atmosfera. Analisaram-se tendências para o ozônio troposférico e para o dióxido de nitrogênio através de dez anos de dados horários em dois locais distintos da cidade de Curitiba, região sul do Brasil. Em ambos os pontos, observou-se uma forte tendência ao crescimento do O3 e um decréscimo nos níveis de NO2. A hipótese aqui defendida indica que o crescimento do O3 observado em Curitiba, não acompanhado pelo NO2 seria uma repercussão de alterações na dinâmica climática da região, credenciando-o como um desafio neste novo século. Palavras-chave: Mudanças Climáticas, Curitiba, ozônio troposférico Abstract The tropospheric ozon it’s a secundary pollutant that is formed by the separation of nitrogen oxydes due to the action of solar radiation and the presence of volátil organic compounds in the atmosphere. Future trends for tropospheric ozone and dioxide nitrogen were analyzed throught ten years of hourly data in two diferent points of Curitiba, South region of Brazil. In both of then, a strong growing trend of O3 and a decrease on the NO2 were observed. The hypothesis defended here is that the increase of O3 observed in Curitiba, not followed by the NO2 would be a repercusion of a change on the climate dinamic of the region, accrediting it as a challenge of this new century. Keywords: Climate Change, Curitiba, tropospheric ozon.

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“…Multi-elemental analysis (including arsenic) of filter-based air particulate matter samples have been collected in New Zealand since 1998 to understand and quantify source contributions to particulate matter concentrations [10][11][12]. In most locations monitored, compared with the summer months (December, January, February), higher levels of arsenic were observed in the winter months (June, July, August), when most of the wood-burning occurs, [13][14][15][16][17][18][19][20]. Moreover, arsenic levels have been found to be associated with the chemical composition profile of wood combustion, linking its presence in air specifically to wood burning.…”

Section: Introductionmentioning

confidence: 99%

Arsenic in Hair as a Marker of Exposure to Smoke from the Burning of Treated Wood in Domestic Wood Burners

Dirks

Chester

Salmond

et al. 2020

IJERPH

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Timber treated with the anti-fungal chemical copper chrome arsenate is used extensively in the New Zealand building industry. While illegal, the burning of treated timber is commonplace in New Zealand and presents a health risk. Outdoor ambient monitoring of arsenic in airborne particulate matter in New Zealand has identified levels that exceed the maximum standards of 5.5 ng m−3 (annual average) at some urban locations. In this study, two-week-old beard hair samples were collected during the winter months to establish individual exposure to arsenic using Inductively Coupled Plasma-Mass Spectrometry. These results were then compared with questionnaire data about wood burner use for the two weeks prior to sampling, and spatial trends in arsenic from ambient monitoring. Results suggest that the burning of construction timber that may contain arsenic is associated with a higher level of arsenic in hair than those who burn logs or coal exclusively. There is no association between the area-level density of wood burners and arsenic levels but a significant correlation with individual household choice of fuel as well as the smell of wood smoke in the community, suggesting very localised influences. Strategies are needed to raise awareness of the risks of burning treated timber and to provide economically-viable alternatives.

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Particulate matter sources and long-term trends in a small New Zealand city

Cited by 8 publications

References 32 publications

Brazilian truckers’ strike and particulate matter (PM10) concentration: Temporal trend and time series models

Brazilian truckers’ strike and particulate matter (PM10) concentration: Temporal trend and time series models

Ozônio Troposférico E Mudanças Climáticas:

Arsenic in Hair as a Marker of Exposure to Smoke from the Burning of Treated Wood in Domestic Wood Burners

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