Download or read book Optimal Methodology to Generate Road Traffic Emissions for Air Quality Modeling Application to Ho Chi Minh City written by Quoc Bang Ho and published by . This book was released on 2010 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimal Methodology to Generate Road Traffic Eissions for Air Quality Modeling written by Quoc Bang Ho and published by . This book was released on 2010 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Models and Technologies for Smart Sustainable and Safe Transportation Systems written by Stefano de Luca and published by BoD – Books on Demand. This book was released on 2021-07-28 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovative and smart mobility systems are expected to make transportation systems more sustainable, inclusive, and safe. Because of changing mobility paradigms, transport planning and design require different methodological approaches. Over twelve chapters, this book examines and analyzes Mobility as a Service (MaaS), travel behavior, traffic control, intelligent transportation system design, electric, connected, and automated vehicles, and much more.
Download or read book Computer Modeling of Transportation generated Air Pollution a State of the art Survey Final Report written by E. M. Darling (Jr) and published by . This book was released on 1972 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Emissions of Air Pollutants written by Rainer Friedrich and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a wealth of new information that enables environmental scientists and authorities to design methods for measuring and modelling emission rates related to specific pollution sources, and thus to generate improved emission inventories and reduction strategies. The text shows how to carry out experiments to verify emission data, including tunnel and open motorway studies, comprehensive city experiments and tracer experiments.
Download or read book A Sampling of Emissions Analysis Techniques for Transportation Control Measures written by and published by . This book was released on 2000 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modelling Urban Vehicle Emissions written by M. Khare and published by Computational Mechanics. This book was released on 2001 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vehicular air pollution poses the main threat to urban air quality and is therefore one of the major components of urban air quality studies. Air quality models can play an effective role in the efficient management of such pollution.
Download or read book The Development of Traffic Information for Estimation of Mobile Source Emissions for Air Quality Modeling written by George B. Dresser and published by . This book was released on 1981 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Integrated Modelling Approach to Estimate Urban Traffic Emissions written by Aarshabh Misra and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Individual and Environmental Determinants of Traffic Emissions and Near road Air Quality written by Junshi Xu and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: On-road motor vehicles are responsible for a considerable proportion of near-road air pollution. While background levels of air pollutants are continuously tracked by regional monitoring networks, assessing near-road air quality remains a challenge in urban areas with complex built environments, traffic composition, and meteorological variation, leading to significant spatiotemporal variability in air pollution. This research addresses current gaps in the literature on local traffic emissions and near-road air quality. This thesis first investigates the effect of traffic volume and speed data on the simulation of vehicle emissions and hotspot analysis. Traffic emissions are estimated using radar data as well as simulated traffic based on various speed aggregation methods. It provides recommendations for project-level analysis and particulate matter (PM) hotspot analysis. We further compare fleet averaged emission factors (EFs) derived from a traffic emission model, the Motor Vehicle Emissions Simulator (MOVES), with EFs using plume-based measurements. This second module stresses the need to collect local traffic information for a better understanding of on-road traffic emissions. Besides, we validate default drive cycles in MOVES against representative drive cycles derived based on real-world GPS data. The validation results are helpful for transportation planners to quantify uncertainties in emission estimation and employ appropriate methods to improve the estimation of on-road emission inventories. The third module develops eco-score models and evaluates the effect of various factors such as driver and trip characteristics on emission intensities. The results shed light on the impact of driving style on emissions and identify the most important factors affecting the amount of emissions generated by every individual driver. The fourth module focuses on the impact of traffic emissions on near-road air quality and presents the results of two different experiments. First, it explores the effect of various factors on near-road ultrafine particle (UFP) concentrations based on short-term fixed monitoring, which stresses the significance of using local traffic characteristics to improve near-road air quality prediction. In addition, it captures the distribution of truck movements in urban environments and investigates the impacts of land-use variables and detailed traffic information on near-road Black Carbon (BC) concentrations.
Download or read book Modeling the Evolution of Vehicle Exhaust Plume Near Road and in Laboratory Dilution Systems Using the CTAG Model written by Yan Wang and published by . This book was released on 2013 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are a growing number of people living or spending substantial time near major roadways, being exposed to elevated traffic-related pollutants. Due to their adverse health effect, it is imperative to reduce the uncertainties in the traffic emission inventory and characterize the spatial and temporal impacts of pollutants on near-road air quality, which is critical to assessing human exposure. This dissertation presents the development and applications of an environmental turbulent reacting flow model, the Comprehensive Turbulent Aerosol Dynamics and Gas Chemistry (CTAG) model. CTAG is designed to simulate the transport and transformation of multiple air pollutants in various environments. For near-road applications, CTAG couples the major turbulent mixing processes with gas-phase chemistry and aerosol dynamics. CTAG demonstrates that significant improvement in predicting the spatial gradients of pollutants near roadways can be achieved by detailed treatment of turbulence characteristics. It is commonly assumed that the NO2/NOx ratio by volume for most roadways is 5%. However, this dissertation is the first to show that this assumption may not be suitable for most roadways, especially those with a high fraction of heavy-duty truck traffic. It also illustrates that the dynamics of exhaust plumes are highly sensitive to vehicle-induced turbulence, sulfuric acid induced nucleation, and condensation of organic compounds. It simulates, for the first time, the multi-scale aerosol dynamics and microenvironmental air quality by introducing a multi-scale structure to generate the processed on-road particle emissions. It implies that roadway and surrounding infrastructure designs can affect near-road air quality. CTAG can be used to improve the regulatory model in assessing the air quality in near-road environments. The turbulent reacting flows inside the fabricated dilution systems are also investigated since they are essential to most emission testing procedures and share the same mechanisms with the atmospheric dilution. CTAG investigates the effects of the dilution parameters and illustrates that turbulence plays a crucial role in mixing the exhaust with the dilution air, and the strength of nucleation dominates the level of particle emissions. A potential unifying parameter, the dilution rate of exhaust, is found to play an important role in new particle formation. Using the CTAG model, urban planners have the potential to develop strategies to reduce the uncertainties associated with dilution samplings and define a standardized dilution sampling methodology for characterizing emissions from multiple combustion sources.
Download or read book Urban Air Pollution Modelling written by Michael M. Benarie and published by Springer. This book was released on 2015-12-26 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the methods, models and formulae used for estimating air pollution concentrations in urban areas. From the ForewordThe visible effects of pollution in most cities in the developed countries have been reduced dramatically in the past thirty years. This has been achieved to a large extent by the replacement of most of the low-level sources, which burnt raw coal, by more modern appliances using gas, electricity or low-sulphur oil. The killer smog of 1952 could not be repeated unless there were to be a massive return to old-fashioned heating methods, due, for example, to excessive environmental constraints being applied to the more modern energy sources. It is important, therefore, to judge the impact of a new source in terms of its effect on the pattern of existing sources. One should also consider the environmental consequences of rejecting the new installation and examine the alternatives--that its product may either be denied to the community at large, produced elsewhere or produced using existing facilities. These facilities are probably less efficient and may therefore produce more pollution per unit of product than the new plant would. An objective, quantitative, urban-air-pollution model is clearly an essential component in such a decision-making process. Dr. Benarie has produced a distillation of existing modelling techniques which will, I hope, become the launching pad for many future models. As each city is unique, it will need its own tailor-made model, drawing on the best and the most appropriate techniques developed previously. Agreement with observations is the only real test of validity, because the physics and chemistry are so complicated that theoretical arguments are reduced to the role of assisting in the best formulation of the problem. Numerical precision must always rely on measurement. This is the approach that Dr. Benarie has adopted.--David J. Moore, Central Electricity Research Laboratires, Leatherhead, Surrey, UK.
Download or read book Air Pollution Modeling and its Application XXII written by Douw G. Steyn and published by Springer. This book was released on 2013-10-15 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in air pollution modeling and its application are explored here in contributions by researchers at the forefront of their field. The book is focused on local, urban, regional and intercontinental modeling; data assimilation and air quality forecasting; model assessment and evaluation; aerosol transformation; the relationship between air quality and human health and the interaction between climate change and air quality. The work will provide useful reference material for students and professors interested in air pollution modeling at the graduate level as well as researchers and professionals involved in developing and utilizing air pollution models.
Download or read book Real time Vehicle Emission Estimation Using Traffic Data written by Anjie Liu and published by . This book was released on 2019 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current state of climate change should be addressed by all sectors that contribute to it. One of the major contributors is the transportation sector, which generates a quarter of greenhouse gas emissions in North America. Most of these transportation related emissions are from road vehicles; as result, how to manage and control traffic or vehicular emissions is therefore becoming a major concern for the governments, the public and the transportation authorities. One of the key requirements to emission management and control is the ability to quantify the magnitude of emissions by traffic of an existing or future network under specific road plans, designs and traffic management schemes. Unfortunately, vehicular traffic emissions are difficult to quantify or predict, which has led a significant number of efforts over the past decades to address this challenge. Three general methods have been proposed in literature. The first method is for determining the traffic emissions of an existing road network with the idea of measuring the tail-pipe emissions of individual vehicles directly. This approach, while most accurate, is costly and difficult to scale as it would require all vehicles being equipped with tail-pipe emission sensors. The second approach is applying ambient pollutant sensors to measure the emissions generated by the traffic near the sensors. This method is only approximate as the vehicle-generated emissions can easily be confounded by other nearby emitters and weather and environmental conditions. Note that both of these methods are measurement-based and can only be used to evaluate the existing conditions (e.g., after a traffic project is implemented), which means that it cannot be used for evaluating alternative transportation projects at the planning stage. The last method is model-based with the idea of developing models that can be used to estimate traffic emissions. The emission models in this method link the amount of emissions being generated by a group of vehicles to their operations details as well as other influencing factors such as weather, fuel and road geometry. This last method is the most scalable, both spatially and temporally, and also most flexible as it can meet the needs of both monitoring (using field data) and prediction. Typically, traffic emissions are modelled on a macroscopic scale based on the distance travelled by vehicles and their average speeds. However, for traffic management applications, a model of higher granularity would be preferred so that impacts of different traffic control schemes can be captured. Furthermore, recent advances in vehicle detection technology has significantly increased the spatiotemporal resolutions of traffic data. For example, video-based vehicle detection can provide more details about vehicle movements and vehicle types than previous methods like inductive loop detection. Using such detection data, the vehicle movements, referred to as trajectories, can be determined on a second-by-second basis. These vehicle trajectories can then be used to estimate the emissions produced by the vehicles. In this research, we have proposed a new approach that can be used to estimate traffic generated emissions in real time using high resolution traffic data. The essential component of the proposed emission estimation method is the process to reconstruct vehicle trajectories based on available data and some assumptions on the expected vehicle motions including cruising, acceleration and deceleration, and car-following. The reconstructed trajectories containing instantaneous speed and acceleration data are then used to estimate emissions using the MOVES emission simulator. Furthermore, a simplified rate-based module was developed to replace the MOVES software for direct emission calculation, leading to significant improvement in the computational efficiency of the proposed method. The proposed method was tested in a simulated environment using the well-known traffic simulator - Vissim. In the Vissim model, the traffic activities, signal timing, and vehicle detection were simulated and both the original vehicle trajectories and detection data recorded. To evaluate the proposed method, two sets of emission estimates are compared: the "ground truth" set of estimates comes from the originally simulated vehicle trajectories, and the set from trajectories reconstructed using the detection data. Results show that the performance of the proposed method depends on many factors, such as traffic volumes, the placement of detectors, and which greenhouse gas is being estimated. Sensitivity analyses were performed to see whether the proposed method is sufficiently sensitive to the impacts of traffic control schemes. The results from the sensitivity analyses indicate that the proposed method can capture impacts of signal timing changes and signal coordination but is insufficiently sensitive to speed limit changes. Further research is recommended to validate the proposed method using field studies. Another recommendation, which falls outside of this area of research, would be to investigate the feasibility of equipping vehicles with devices that can record their instantaneous fuel consumption and location data. With this information, traffic controllers would be better informed for emission estimation than they would be with only detection data.
Download or read book Advances in Air Pollution Modeling for Environmental Security written by István Faragó and published by Springer Science & Business Media. This book was released on 2005-07-14 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: The protection of our environment is one of the major problems in the society. More and more important physical and chemical mechanisms are to be added to the air pollution models. Moreover, new reliable and robust control strategies for keeping the pollution caused by harmful compounds under certain safe levels have to be developed and used in a routine way. Well based and correctly analyzed large mathematical models can successfully be used to solve this task. The use of such models leads to the treatment of huge computational tasks. The efficient solution of such problems requires combined research from specialists working in different fields. The aim of the NATO Advanced Research Workshop (NATO ARW) entitled “Advances in Air Pollution Modeling for Environmental Security” was to invite specialists from all areas related to large-scale air pollution modeling and to exchange information and plans for future actions towards improving the reliability and the scope of application of the existing air pollution models and tools. This ARW was planned to be an interdisciplinary event, which provided a forum for discussions between physicists, meteorologists, chemists, computer scientists and specialists in numerical analysis about different ways for improving the performance and the quality of the results of different air pollution models.
Download or read book Air Pollution Modeling written by Paolo Zannetti and published by Springer. This book was released on 2013-04-26 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finishing this book is giving me a mixture of relief, satisfaction and frus tration. Relief, for the completion of a project that has taken too many of my evenings and weekends and that, in the last several months, has become almost an obsession. Satisfaction, for the optimistic feeling that this book, in spite of its many shortcomings and imbalances, will be of some help to the air pollution scientific community. Frustration, for the impossibility of incorporating newly available material that would require another major review of several key chap ters - an effort that is currently beyond my energies but not beyond my desires. The first canovaccio of this book came out in 1980 when I was invited by Computational Mechanics in the United Kingdom to give my first Air Pollution Modeling course. The course material, in the form of transparencies, expanded, year after year, thus providing a growing working basis. In 1985, the ECC Joint Research Center in Ispra, Italy, asked me to prepare a critical survey of mathe matical models of atmospheric pollution, transport and deposition. This support gave me the opportunity to prepare a sort of "first draft" of the book, which I expanded in the following years.
Download or read book Applying and Improving Air Quality Models for Environmental Justice and Policy oriented Research written by Ciaran L. Gallagher and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addressing systemic inequitable exposure to ambient PM2.5 concentrations requires air quality data at spatial scales that match decision-making processes. Reduced-form air quality models (RFM) can support equitable pollution mitigation design for policymakers and community advocates. We endeavor to improve and increase accessibility of RFMs while applying them to investigate research questions posed by our non-profit advocacy research partners. This dissertation uses the lens of environmental justice to investigate potential policy solutions at the national and city level. First, we model three large-scale decarbonization scenarios using the U.S. EPA CO-Benefits Risk Assessment Health Impacts Screening Tool (COBRA) and identify the relative exposure reduction benefit across race and ethnicity. Black populations are the only group to experience relative exposure reduction benefits compared to the total population in every scenario. The magnitudes of total air quality improvements by scenario vary across regions of the U.S., and generally do not align with the decarbonization policy that achieves the largest equity goal. Only the transportation decarbonization scenario meets the criteria of the Justice40 Initiative nationwide. The second section of this dissertation works to improve the available air pollution modeling tools by investigating how integrating satellite observations can correct the Intervention Model for Air Pollution (InMAP). While the InMAP model can be a powerful tool for equitable policy design and environmental justice inquiries, the model has errors that limit its relevance to city-scale analysis. We find that applying scaling factors to cities or individual grid cells achieves model performance goals for normalized mean bias and normalized mean error. Finally, we deploy the corrected InMAP model to investigate emissions source contributions to ambient PM2.5 and pollution exposure disparities by race/ethnicity for each emissions source in the 100 largest U.S. cities. Black, Latino, and Asian city residents on average are more exposed to on-road transportation (6 - 14%), industry (-1 - 9%), and non-point sources (7 - 17%). However, we find that there is considerable variation in both the relative source contribution and exposure disparity metrics across cities, highlighting the importance of city-specific analyses.
