scholarly journals Source apportionment using LOTOS-EUROS: module description and evaluation

2013 ◽  
Vol 6 (3) ◽  
pp. 721-733 ◽  
Author(s):  
R. Kranenburg ◽  
A. J. Segers ◽  
C. Hendriks ◽  
M. Schaap
Keyword(s):  
Air Pollutants ◽  
Power Plants ◽  
Road Traffic ◽  
Transport Model ◽  
New Technology ◽  
Road Transport ◽  
Mitigation Strategies ◽  
Policy Support ◽  
Accurate Information ◽  
Brute Force

Abstract. To design effective mitigation strategies, the origin of emissions which produce air pollutants needs to be known. Contributors to air pollutants can be emission sources, like road traffic or industry, but also be more specified to emission from one location or from a specified time. Chemistry transport models can be used to assess the origin of air pollution across a large domain. However, in traditional simulations the information on origin is lost and brute force scenario studies are performed to assess the origin. Alternatively, one can trace the origin of air pollutants throughout a simulation using a labeling approach. In this paper we document and demonstrate a newly developed labeling module for the chemistry transport model LOTOS-EUROS which tracks the source allocation for all particulate matter components and precursor gases. Dedicated simulations confirmed that the new module functions correctly. The new module provides more accurate information about the source contributions than using a brute force approach with scenario runs as the chemical regime remains unchanged. An important advantage of the new module is the reduction of computation costs and analysis work associated with the calculations. The new module was applied to assess the origin of particulate nitrate across the Netherlands. Averaged across the Dutch territory, the main contributions to nitrate are derived from road and non-road transport as well as power plants. Overall, only one-fifth of the concentration derived from sources located inside the country. The new technology enables new research directions as improved information on pollution origin is desired for policy support as well as scientific applications.

scholarly journals Source apportionment using LOTOS-EUROS: module description and evaluation

2012 ◽  
Vol 5 (4) ◽  
pp. 3957-3991 ◽  
Author(s):  
R. Kranenburg ◽  
C. Hendriks ◽  
M. Schaap ◽  
A. Segers
Keyword(s):  
Air Pollutants ◽  
Power Plants ◽  
Transport Model ◽  
New Technology ◽  
Road Transport ◽  
Mitigation Strategies ◽  
Policy Support ◽  
Accurate Information ◽  
Brute Force ◽  
Force Scenario

Abstract. To design effective mitigation strategies the origin of air pollutants needs to be known. Chemistry transport models can be used to assess the origin of air pollution across a large domain. However, in traditional simulations the information on origin is lost and brute force scenario studies are performed to assess the origin. Alternatively, one can trace the origin of air pollutants throughout a simulation using a labeling approach. In this paper we document and demonstrate a newly developed labeling module for the chemistry transport model LOTOS-EUROS which tracks the source allocation for all particulate matter components and precursor gases. Dedicated simulations confirmed that the new module functions correctly. The new module provides more accurate information about the source contributions than using a brute force approach with scenario runs as the chemical regime remains unchanged. An important advantage of the new module is the reduction of computation costs and analysis work associated with the calculations. The new module was applied to assess the origin of particulate nitrate across the Netherlands. Averaged across the Dutch territory the main contributions to nitrate derive from road and non-road transport as well as power plants. Overall, only one-fifth of the concentration derived from sources located inside the country. The new technology enables new research directions as improved information on pollution origin is desired for policy support as well as scientific applications.

scholarly journals Investigation of the Accumulation of Greenhouse Gases in Terms of Road Traffic Gradients

2020 ◽  
Vol 10 (1) ◽  
pp. 296-301
Keyword(s):  
Air Pollutants ◽  
Road Traffic ◽  
Road Transport ◽  
Air Pollutant ◽  
Motor Vehicles ◽  
Flow Parameters ◽  
Multiple Sampling ◽  
Road Gradient ◽  
Highly Correlated ◽  
So2 Concentration

This research reflects on the impacts of traffic factors, car acceleration, volume of traffic, road gradient and the resulting sum of air pollutants, with a significant impact on the emissions of the vehicles. The general and detailed urban plans are normally addressed to these factors. Such considerations usually determine the adverse effects of motor vehicles, and environmental hazards, such as air pollution and vibration, which affects highways and bridges. However, the effect of road transport and preparation on the ecosystem is described. The research focuses on climate aspects that can be identified and designed so that all generic proposals can include them. In this study, CO, NO2, TVOC’s and SO2 concentration at multiple sampling sites were screened regularly. The study revealed that air pollutant rates are highly correlated with traffic movement and prevailing gradients. The SO2, NO2, CO and TVOC’s concentrations were very much associated to significant road flow parameters such as traffic elevation, intensity and amount of transport.

COMPARATIVE ANALYSIS OF METHODOLOGY ROAD TRANSPORT STATISTICS OF EUROSTAT AND UKRAINE

2019 ◽  
pp. 2-9
Author(s):  
Alla Novikova ◽  
Natalia Myhailyuk ◽  
Anatolii Redzyuk ◽  
Inna Shum ◽  
Tatiana Yaschenko
Keyword(s):  
Comparative Analysis ◽  
Road Traffic ◽  
Transport Model ◽  
Feasibility Studies ◽  
Road Transport ◽  
Business Environment ◽  
Freight Transport ◽  
Rolling Stock ◽  
Investment Activity ◽  
Road Freight

Methodological approaches to European Union statistical observations of road transport industry are described and comparative analysis of the methodology of statistical observations in Ukraine are performed. The significance of statistical analysis and research of publications on the results of statistical observations for the economy of the country, business environment, scientists and other users is established. The importance database for the National Transport Model is discussed. It is a powerful tool for analyzing, forecasting, feasibility studies of investment projects. The main indicators of statistical reporting for road transport in Ukraine are analyzed. The gaps in the statistical data road transport have been identified. The table provides a clear demonstration of the comparison of Eurostat and Ukraine’s road transport methodology by type of indicators. Differences in methodology with Eurostat in reporting areas were identified: rolling stock; enterprises, economic indicators and employment; road traffic; statistics of passenger road transport; freight road transport; national road freight transport; international road freight transport; cabotage by road. Conclusions and suggestions on converting positions and methodology of national statistics to Eurostat methodology have been provided. It is proposed to create a single electronic platform, accumulating all the various statistics on: carriers, routes, volumes and destinations of transportation, transport work, rolling stock, runs, fuel costs, financial results of activity, investment activity, cross-border traffic, export-import, road accidents, etc. that will be accessible to all potential users of statistics. Keywords: statistics, data base, methodology, reporting forms, sample surveys, road transport.

scholarly journals Future Power Train Solutions for Long-Haul Trucks

2021 ◽  
Vol 13 (4) ◽  
pp. 2225
Author(s):  
Ralf Peters ◽  
Janos Lucian Breuer ◽  
Maximilian Decker ◽  
Thomas Grube ◽  
Martin Robinius ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Co2 Emissions ◽  
Value Chain ◽  
Large Scale ◽  
New Technology ◽  
Co2 Reduction ◽  
Road Transport ◽  
Transport Sector ◽  
Long Distance ◽  
Production Of Hydrogen

Achieving the CO2 reduction targets for 2050 requires extensive measures being undertaken in all sectors. In contrast to energy generation, the transport sector has not yet been able to achieve a substantive reduction in CO2 emissions. Measures for the ever more pressing reduction in CO2 emissions from transportation include the increased use of electric vehicles powered by batteries or fuel cells. The use of fuel cells requires the production of hydrogen and the establishment of a corresponding hydrogen production system and associated infrastructure. Synthetic fuels made using carbon dioxide and sustainably-produced hydrogen can be used in the existing infrastructure and will reach the extant vehicle fleet in the medium term. All three options require a major expansion of the generation capacities for renewable electricity. Moreover, various options for road freight transport with light duty vehicles (LDVs) and heavy duty vehicles (HDVs) are analyzed and compared. In addition to efficiency throughout the entire value chain, well-to-wheel efficiency and also other aspects play an important role in this comparison. These include: (a) the possibility of large-scale energy storage in the sense of so-called ‘sector coupling’, which is offered only by hydrogen and synthetic energy sources; (b) the use of the existing fueling station infrastructure and the applicability of the new technology on the existing fleet; (c) fulfilling the power and range requirements of the long-distance road transport.

scholarly journals Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 900
Author(s):  
Ioanna Skoulidou ◽  
Maria-Elissavet Koukouli ◽  
Arjo Segers ◽  
Astrid Manders ◽  
Dimitris Balis ◽  
...  
Keyword(s):  
Power Plant ◽  
Data Assimilation ◽  
Energy Production ◽  
Power Plants ◽  
Transport Model ◽  
A Priori ◽  
Filter Method ◽  
Nox Emissions ◽  
A Posteriori ◽  
Data Assimilation Technique

In this work, we investigate the ability of a data assimilation technique and space-borne observations to quantify and monitor changes in nitrogen oxides (NOx) emissions over Northwestern Greece for the summers of 2018 and 2019. In this region, four lignite-burning power plants are located. The data assimilation technique, based on the Ensemble Kalman Filter method, is employed to combine space-borne atmospheric observations from the high spatial resolution Sentinel-5 Precursor (S5P) Tropospheric Monitoring Instrument (TROPOMI) and simulations using the LOTOS-EUROS Chemical Transport model. The Copernicus Atmosphere Monitoring Service-Regional European emissions (CAMS-REG, version 4.2) inventory based on the year 2015 is used as the a priori emissions in the simulations. Surface measurements of nitrogen dioxide (NO2) from air quality stations operating in the region are compared with the model surface NO2 output using either the a priori (base run) or the a posteriori (assimilated run) NOx emissions. Relative to the a priori emissions, the assimilation suggests a strong decrease in concentrations for the station located near the largest power plant, by 80% in 2019 and by 67% in 2018. Concerning the estimated annual a posteriori NOx emissions, it was found that, for the pixels hosting the two largest power plants, the assimilated run results in emissions decreased by ~40–50% for 2018 compared to 2015, whereas a larger decrease, of ~70% for both power plants, was found for 2019, after assimilating the space-born observations. For the same power plants, the European Pollutant Release and Transfer Register (E-PRTR) reports decreased emissions in 2018 and 2019 compared to 2015 (−35% and −38% in 2018, −62% and −72% in 2019), in good agreement with the estimated emissions. We further compare the a posteriori emissions to the reported energy production of the power plants during the summer of 2018 and 2019. Mean decreases of about −35% and−63% in NOx emissions are estimated for the two larger power plants in summer of 2018 and 2019, respectively, which are supported by similar decreases in the reported energy production of the power plants (~−30% and −70%, respectively).

scholarly journals Long-Term Exposure to Fine and Coarse Particulate Matter and COVID-19 Incidence and Mortality Rate in Chile during 2020

2021 ◽  
Vol 18 (14) ◽  
pp. 7409
Author(s):  
Macarena Valdés Salgado ◽  
Pamela Smith ◽  
Mariel Opazo ◽  
Nicolás Huneeus
Keyword(s):  
Mortality Rate ◽  
Incidence Rate ◽  
Air Pollutants ◽  
Negative Binomial ◽  
Transport Model ◽  
Surface Concentration ◽  
Mortality Rates ◽  
Incidence And Mortality ◽  
Pm2.5 And Pm10

Background: Several countries have documented the relationship between long-term exposure to air pollutants and epidemiological indicators of the COVID-19 pandemic, such as incidence and mortality. This study aims to explore the association between air pollutants, such as PM2.5 and PM10, and the incidence and mortality rates of COVID-19 during 2020. Methods: The incidence and mortality rates were estimated using the COVID-19 cases and deaths from the Chilean Ministry of Science, and the population size was obtained from the Chilean Institute of Statistics. A chemistry transport model was used to estimate the annual mean surface concentration of PM2.5 and PM10 in a period before the current pandemic. Negative binomial regressions were used to associate the epidemiological information with pollutant concentrations while considering demographic and social confounders. Results: For each microgram per cubic meter, the incidence rate increased by 1.3% regarding PM2.5 and 0.9% regarding PM10. There was no statistically significant relationship between the COVID-19 mortality rate and PM2.5 or PM10. Conclusions: The adjusted regression models showed that the COVID-19 incidence rate was significantly associated with chronic exposure to PM2.5 and PM10, even after adjusting for other variables.

scholarly journals Use of failure modes and effects analysis to mitigate potential risks prior to implementation of an intravenous compounding technology

2021 ◽  
Author(s):  
Agnes Ann Feemster ◽  
Melissa Augustino ◽  
Rosemary Duncan ◽  
Anand Khandoobhai ◽  
Meghan Rowcliffe
Keyword(s):  
Medication Safety ◽  
Failure Modes ◽  
Risk Mitigation ◽  
New Technology ◽  
Hazard Index ◽  
Mitigation Strategies ◽  
Investigational Drug ◽  
Workflow Optimization ◽  
Proactive Approach ◽  
Risk Mitigation Strategies

Abstract Disclaimer In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Purpose The purpose of this study was to identify potential failure points in a new chemotherapy preparation technology and to implement changes that prevent or minimize the consequences of those failures before they occur using the failure modes and effects analysis (FMEA) approach. Methods An FMEA was conducted by a team of medication safety pharmacists, oncology pharmacists and technicians, leadership from informatics, investigational drug, and medication safety services, and representatives from the technology vendor. Failure modes were scored using both Risk Priority Number (RPN) and Risk Hazard Index (RHI) scores. Results The chemotherapy preparation workflow was defined in a 41-step process with 16 failure modes. The RPN and RHI scores were identical for each failure mode because all failure modes were considered detectable. Five failure modes, all attributable to user error, were deemed to pose the highest risk. Mitigation strategies and system changes were identified for 2 failure modes, with subsequent system modifications resulting in reduced risk. Conclusion The FMEA was a useful tool for risk mitigation and workflow optimization prior to implementation of an intravenous compounding technology. The process of conducting this study served as a collaborative and proactive approach to reducing the potential for medication errors upon adoption of new technology into the chemotherapy preparation process.

scholarly journals Terrain Analysis of Biu Plateau, for Road Transport Development, Borno State, Nigeria

2014 ◽  
Vol 6 (2) ◽  
pp. 28
Author(s):  
Ikusemoran Mayomi ◽  
John Abdullahi ◽  
Anthony Dami
Keyword(s):  
Information Technologies ◽  
Low Cost ◽  
Road Transport ◽  
Accurate Information ◽  
Terrain Analysis ◽  
Road Transportation ◽  
Digital Elevation ◽  
Human Energy ◽  
Road Planning ◽  
Steep Slopes

Among all the means of transportation, road has been described as the most important, probably because of its flexibility and its low cost in terms of construction, maintenance and usage. However, in Nigeria, road is considered to be the most dangerous means of transportation because of their bad nature such as sharp bends, narrow bridges, steep slopes and other related problems which are associated with the terrain where these roads are constructed. Road transportation therefore needs proper planning and development through the use of geo-information technologies that would ease accessibility reduces human energy and yet brings reliable and accurate information on the terrain. In this paper, Ilwis 3.5 was used to create Digital Elevation Modelling (DEM), Shadowing, 3-Dimentional View, Slope maps and river direction maps of Biu plateau to analyze the use of GIS on road planning and development on the plateau. It was revealed that the technique has great capabilities of terrain analysis as features which are deemed humanly impossible to assess are viewed as if one is at the scene which may enhance quick analysis on road transportation. It was therefore, recommended that all the stake holders in road transportation should employ the use of this geo-information techniques in terrain analysis to ease transport planning and development in the area.

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