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Regionalized environmental impacts of construction machinery
PURPOSE:
This study aims to establish a regionalized environmental impact assessment of construction machinery equipped with diesel engines certified by the European emission standard Stage V, and operated in cold climatic zones in Europe.
METHOD:
The study quantifies potential environmental impacts associated with construction machinery over the entire lifecycle, from extraction of materials to the end-of-life. For the operation phase, a meso-level emission accounting method is applied to quantify tailpipe emissions for certain subcategories of construction machinery. This is achieved by determining the operational efficiency of each machine in terms of effective hours. The quantified emission data are then adjusted based on engine deterioration models to estimate the rate of increase in emissions throughout the lifetime of each machine. Finally, the CML impact assessment method is applied to inventory data to quantify potential environmental impacts.
RESULTS:
The study shows that tailpipe emissions, which largely depend on an engine’s fuel consumption, had the largest contribution to environmental impacts in most impact categories. At the same time, there was a positive correlation between the operation weight and the impacts of the machinery. Also, machinery with similar operation weight had relatively similar impact patterns due to similar driving factors and dependencies. In addition, network, sensitivity, and uncertainty analyses were performed to quantify the source of impacts and validate the robustness of the study. Results of the sensitivity analysis showed that the responsiveness of the studied systems is very sensitive to changes in the amount of fuel consumption. In addition, the uncertainty results showed that the domain of uncertainty increased as the operation weight subcategory of machinery increased.
CONCLUSION:
This study extends previous work on the life cycle assessment (LCA) of construction machinery, and the methodology developed provides a basis for future extension and improvement in this field. The use of effective hours as the unit of operational efficiency helps to resolve uncertainties linked to lifetime and annual operation hours. Also, the obtained results can be of use for decision support and for assessing the impacts of transition from fossil fuels to alternative fuel types.
2020
2020
2020
Monitoring of long-range transported air pollutants in Norway. Annual Report 2019.
Denne rapporten omhandler resultater fra overvåkningsprogrammet for langtransportert forurenset luft og nedbør og atmosfæriske tilførsler i 2019. Rapporten presenterer målinger av uorganiske hovedkomponentene i luft og nedbør, partikulært karbonholdig materiale, partikkelmasse og bakkenært ozon. I 2019 ble det observert en uvanlig omfattende episode med høye konsentrasjoner av luftforurensing på flere stasjoner.
NILU
2020
Apex predators are characterized by high levels of biomagnifying organohalogenated contaminants (OHCs) which have been found to induce detrimental health effects in wildlife, such as immune system impairment. The leukocyte coping capacity (LCC) assay is a functional real-time measure of an innate immune response essential in pathogen resistance, known as the respiratory burst. The current study suggests the novel use of this tool to test whether OHCs impair the innate immune system of a sentinel top predator, the white-tailed eagle (Haliaeetus albicilla; WTE). The LCC analysis was performed in the field on WTE nestlings (n = 84) from northern Norway over two breeding seasons. Poly- and perfluoroalkyl substances (PFAS) dominated the total OHC load, surpassing the levels of legacy organochlorines. In addition, we detected significant negative correlations between concentrations of all polychlorinated biphenyls, p,p′-dichlorodiphenyldichloroethylene, perfluorohexane sulfonic acid and long-chain perfluorocarboxylic acids and the LCC of WTE nestlings. Based on our current findings reflecting a potential negative effect of both emerging and legacy OHCs on innate immune capacity, we suggest LCC to be a relevant and accessible test expanding the ecotoxicological toolbox to assess sub-lethal effects of OHCs in apex avian wildlife.
Elsevier
2020
Polycyclic aromatic hydrocarbons (PAHs) are not
declining in Arctic air despite reductions in their global emissions.
In Svalbard, the Longyearbyen coal-fired power plant
is considered to be one of the major local sources of PAHs.
Power plant stack emissions and ambient air samples, collected
simultaneously at 1 km (UNIS) and 6 km (Adventdalen)
transect distance, were analysed (gaseous and particulate
phases separately) for 22 nitro-PAHs, 8 oxy-PAHs,
and 16 parent PAHs by gas chromatography in combination
with single quadrupole electron capture negative ionization
mass spectrometry (GC-ECNI-MS) and gas chromatography
in combination with triple quadrupole electron ionization
mass spectrometry (GC-EI-MS/MS). Results confirm low
levels of PAH emissions (Sum 16 PAHs D 1:5 μg/kg coal)
from the power plant. Phenanthrene, 9,10-anthraquinone, 9-
fluorenone, fluorene, fluoranthene, and pyrene accounted for
85% of the plant emission (not including naphthalene). A dilution
effect was observed for the transect ambient air samples:
1.26+/- 0.16 and 0.63+/- 0.14 ng/m3 were the sum of all
47 PAH derivatives for UNIS and Adventdalen, respectively.
The PAH profile was homogeneous for these recipient stations
with phenanthrene and 9-fluorenone being most abundant.
Multivariate statistical analysis confirmed coal combustion
and vehicle and marine traffic as the predominant
sources of PAHs. Secondary atmospheric formation of 9-
nitroanthracene and 2C3-nitrofluoranthene was evaluated
and concluded. PAHs partitioning between gaseous and particulate
phases showed a strong dependence on ambient temperatures
and humidity. The present study contributes important
data which can be utilized to eliminate uncertainties in
model predictions that aim to assess the extent and impacts
of Arctic atmospheric contaminants.
2020
Atmospheric turbulence and in particular its effect on tracer dispersion may be measured by cameras sensitive to the absorption of ultraviolet (UV) sunlight by sulfur dioxide (SO2), a gas that can be considered a passive tracer over short transport distances. We present a method to simulate UV camera measurements of SO2 with a 3D Monte Carlo radiative transfer model which takes input from a large eddy simulation (LES) of a SO2 plume released from a point source. From the simulated images the apparent absorbance and various plume density statistics (centre-line position, meandering, absolute and relative dispersion, and skewness) were calculated. These were compared with corresponding quantities obtained directly from the LES. Mean differences of centre-line position, absolute and relative dispersions, and skewness between the simulated images and the LES were generally found to be smaller than or about the voxel resolution of the LES. Furthermore, sensitivity studies were made to quantify how changes in solar azimuth and zenith angles, aerosol loading (background and in plume), and surface albedo impact the UV camera image plume statistics. Changing the values of these parameters within realistic limits has negligible effects on the centre-line position, meandering, absolute and relative dispersions, and skewness of the SO2 plume. Thus, we demonstrate that UV camera images of SO2 plumes may be used to derive plume statistics of relevance for the study of atmospheric turbulent dispersion.
2020
Past and Future Grand Challenges in Marine Ecosystem Ecology
Frontiers Media S.A.
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