Airborne pollutant concentrations within and emission rates from Australian piggery buildings

2018 ◽  
pp. 141-152
Author(s):  
Thomas Banhazi
2020 ◽  
Vol 12 (21) ◽  
pp. 8887 ◽  
Author(s):  
Yang Bai ◽  
Yi Zhou ◽  
Juha M. Alatalo ◽  
Alice C. Hughes

Ongoing rapid urban population growth world-wide has led to serious environmental problems that affect ecosystems and also lower the security and happiness of urban residents about their living environment. The most frequently reported negative impact is a deterioration in urban air quality. In this study, we performed a comprehensive assessment of the effects of the city lockdown policy in response to Covid-19 on air quality in Shanghai Municipality, China, and sought to identify a balance point between human activities and improving air quality. The first-level response (FLR) by Shanghai to control the spread of Covid-19 was to launch a lockdown, which remained in place from 24 January to 23 March, 2020. We compared airborne pollutant concentrations in different regions (downtown, suburbs) of Shanghai city in three periods (Pre-FLR, During-FLR, and Post-FLR) and in the corresponding periods in the previous year. The results showed that air quality improved significantly During-FLR compared with Pre-FLR, with the concentrations of PM2.5, PM10, SO2, NO2, and CO all decreasing significantly. The concentrations of all pollutants except O3 also decreased significantly compared with the same period in the previous year. There were also some differences in pollutant concentrations between the downtown region and the suburbs of Shanghai. However, we found that the concentrations of pollutants rebounded gradually when the restrictions on human activities ended after two months of lockdown. This study provides empirical evidence of the important effect of limiting human activities on air quality. For sustainable and clean future urban management in Shanghai and beyond, central government policy regulations requiring a low-carbon lifestyle and cleaner production in industries should be established.


2020 ◽  
Author(s):  
Evgenia Ilyinskaya ◽  
Emily Mason ◽  
Penny Wieser ◽  
Lacey Holland ◽  
Emma Liu ◽  
...  

<p>Volcanoes are a large global source of almost every element, including ~20 environmentally reactive trace elements classified as metal pollutants (e.g. selenium, cadmium and lead). Fluxes of metal pollutants from individual eruptions can be comparable to total anthropogenic emissions from large countries such as China.</p><p>The 2018 Lower East Rift Zone eruption of Kīlauea, Hawaii produced exceptionally high emission rates of major and trace chemical species compared to other basaltic eruptions over 3 months (200 kt/day of SO<sub>2</sub>; Kern et al. 2019). We tracked the volcanic plume from vent to exposed communities over 0-240 km distance using in-situ sampling and atmospheric dispersion modelling. This is the first time that trace elements in volcanic emissions (~60 species) are mapped over such distances. In 2019, we repeated the field campaign during a no-eruption period and showed that volcanic emissions had caused 3-5 orders of magnitude increase in airborne metal pollutant concentrations across the Island of Hawai’i.</p><p>We show that the volatility of the elements (the ease with which they are degassed from the magma) controls their particle-phase speciation, which in turn determines how fast they are depleted from the plume after emission. Elements with high magmatic volatilities (e.g. selenium, cadmium and lead) have up to 6 orders of magnitude higher depletion rates compared to non-volatile elements (e.g. magnesium, aluminium and rare earth metals).</p><p>Previous research and hazard mitigation efforts on volcanic emissions have focussed on sulphur and it has been assumed that other pollutants follow the same dispersion patterns. Our results show that the atmospheric fate of sulphur, and therefore the associated hazard distribution, does not represent an accurate guide to the behaviour and potential impacts of other species in volcanic emissions. Metal pollutants are predominantly volatile in volcanic plumes, and their rapid deposition (self-limited by their volatility) places disproportionate environmental burdens on the populated areas in the immediate vicinity of the active and, in turn, reduces the impacts on far-field communities.</p><p>Reference: Kern, C., T. Elias, P. Nadeau, A. H. Lerner, C. A. Werner, M. Cappos, L. E. Clor, P. J. Kelly, V. J. Realmuto, N. Theys, S. A. Carn, AGU, 2019; https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/507140.</p>


2021 ◽  
Author(s):  
Vigneshkumar Balamurugan ◽  
Xiao Bi ◽  
Johannes Gensheimer ◽  
Jia Chen ◽  
Frank Keutsch ◽  
...  

<p>In 2020, the entire world population has witnessed an unprecedented virus outbreak in terms of COVID-19, which led to restrictions in human activities across the world. Strict measures in Germany started on March-21, 2020 and ended on April-30, 2020, while more relaxed measures continued until July 2020. Vehicle traffic volume and industrial activities were drastically reduced, and, as a result, pollutant emission rates were expected to be reduced. Changes in atmospheric pollutant concentrations are an indicator for changes in emission rates although they are not directly proportional as concentrations are heavily influenced by meteorological conditions and as atmospheric photochemical reactions can be non-linear. Without accounting for the influence of meteorology and atmospheric photochemical reactions, a simple comparison of the lockdown period pollutant concentration values with pre-lockdown only to estimate emissions could be misleading. To normalize the effects of meteorological conditions and atmospheric chemical transformation and reactions, we adopted a method of comparing the predicted Business As Usual (BAU) NO<sub>2</sub> and O<sub>3</sub> concentrations, i.e., the expected value of NO<sub>2</sub> and O<sub>3</sub> concentration for 2020 meteorological conditions without lockdown restrictions, with the observed NO<sub>2</sub> and O<sub>3</sub> concentrations. BAU NO<sub>2</sub> and O<sub>3</sub> concentrations corresponding to 2020 meteorological conditions were predicted based on wind speed and sunshine duration (and season of the day) using the previous year NO<sub>2</sub> and O<sub>3</sub> concentrations as the references. Compared to BAU levels, big metropolitan cities in Germany show a decline in observed NO<sub>2</sub> level (-24.5 to -37.7 %) in the strict lockdown period and rebound to the BAU level at the end of July 2020. In contrast, there is a marginal change in O<sub>3</sub> level (+9.6 to -7.4 %). We anticipate that the imbalanced changes in precursors emission (decrease in NO<sub>X</sub> and increase in volatile organic compounds (VOCs) emission) are attributed to the marginal changes in observed O<sub>3</sub> level compared to BAU level; decreased NO<sub>X</sub> would decrease the O<sub>3</sub> concentration due to NO<sub>X</sub>-limited conditions, and increased VOCs would increase the O<sub>3 </sub>concentration. These results imply that the balanced emission control between the VOCs and NO<sub>X</sub> are required to limit the secondary pollutant (O<sub>3</sub>) formation.</p>


2017 ◽  
Vol 122 ◽  
pp. 215-229 ◽  
Author(s):  
Brett C. Singer ◽  
Rebecca Zarin Pass ◽  
William W. Delp ◽  
David M. Lorenzetti ◽  
Randy L. Maddalena

2019 ◽  
Author(s):  
Paul D. Hamer ◽  
Sam-Erik Walker ◽  
Gabriela Sousa-Santos ◽  
Matthias Vogt ◽  
Dam Vo-Thanh ◽  
...  

Abstract. This paper describes the Eulerian urban dispersion model EPISODE. EPISODE was developed to address a need for an urban air quality model in support of policy, planning, and air quality management in the Nordic, and, specifically, Norwegian setting. It can be used for the calculation of a variety of airborne pollutant concentrations, but we focus here on the implementation and application of the model for NO2 pollution. EPISODE consists of a Eulerian 3D grid model with embedded sub-grid dispersion models (e.g., a Gaussian plume model) for dispersion of pollution from line (i.e., roads) and point sources (e.g., chimney stacks). It considers the atmospheric processes advection, diffusion, and a NO2 photochemistry represented using the photostationary steady state approximation for NO2. EPISODE calculates hourly air concentrations representative of the grids and at receptor points. The latter allow EPISODE to estimate concentrations representative of the levels experienced by the population and to estimate their exposure. This methodological framework makes it suitable for simulating NO2 concentrations at fine scale resolution (


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