Download or read book Real world Variability Modelling and Mitigation of Road Transport Emissions written by Clémence Marie Anne Le Cornec and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modeling Mobile source Emissions written by National Research Council (U.S.). Committee to Review EPA's Mobile Source Emissions Factor (Mobile) Model and published by National Academies Press. This book was released on 2000 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Mobile Source Emissions Factor (MOBILE) model is a computer model developed by the U.S. Environmental Protection Agency (EPA) for estimating emissions from on-road motor vehicles. MOBILE is used in air-quality planning and regulation for estimating emissions of carbon monoxide (CO), volatile organic compounds (VOCs), and nitrogen oxides (NOx) and for predicting the effects of emissions-reduction programs.1 Because of its important role in air-quality management, the accuracy of MOBILE is critical. Possible consequences of inaccurately characterizing motor-vehicle emissions include the implementation of insufficient controls that endanger the environment and public health or the implementation of ineffective policies that impose excessive control costs. Billions of dollars per year in transportation funding are linked to air-quality attainment plans, which rely on estimates of mobile-source emissions. Transportation infrastructure decisions are also affected by emissions estimates from MOBILE. In response to a request from Congress, the National Research Council established the Committee to Review EPA's Mobile Source Emissions Factor (MOBILE) Model in October 1998. The committee was charged to evaluate MOBILE and to develop recommendations for improving the model.
Download or read book Urban Transportation and Air Pollution written by Akula Venkatram and published by Elsevier. This book was released on 2018-06-12 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Urban Transportation and Air Pollution synthesizes state-of-the-art methods on estimating near-road concentrations of roadway emissions. The book provides the information needed to make estimates using methods based on a minimal set of model inputs that can be applied by a wide range of users in many situations. Discussions include methods to estimate traffic emission under numerous urban driving conditions, the uncertainty of emission models, and the effects of road configurations, such as near-road solid barriers. Final sections present dispersion models that link traffic emissions with near road concentrations in urban environments. Addressing transportation-related environmental issues is extremely important as urban areas are constantly searching for ways to mitigate impacts from transportation sources. This book helps to explain dispersion models, a critical tool for estimating the impact of roadway emissions in cities. - Compiles and synthesizes the state-of-the-science methods for estimating roadway emissions - Demonstrates, with clear examples, how modeling methods reduce uncertainties in real-world problems - Emphasizes how local-scale, semi-empirical, steady-state modeling can be applied using only a small set of inputs - Offers an overview of the meteorology that governs air pollution dispersion in cities
Download or read book Road Transport Emissions in the Real World written by Dimitrios Savvidis and published by . This book was released on 2011 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Machine Learning Methodology for Developing Microscopic Vehicular Fuel Consumption and Emission Models for Local Conditions Using Real world Measures written by Ehsan Moradi and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Road transport is a major contributor to world energy consumption and emissions. The validity of models developed for environmental assessment of transport projects when used out of their origins is questionable as they are only validated for the prevailing conditions at their origin. This study starts by the validation of one of the most popular transportation environmental assessment models, MOVES, for use in non-U.S. regions such as Canada through performing on-road measurements. Distinct differences between the ground-truth and MOVES predictions are revealed. MOVES underestimates fuel and CO2 rates by 17% and 35%, respectively. Nitrogen Oxides (NOx) and Particulate Matters (PM) predictions set overestimation records of up to +420%. Furthermore, MOVES output is biased for vehicle groups with specific attributes. The results of MOVES validation emphasized the need for using alternative local fuel and emission models. However, many of the existing vehicular fuel and emission modeling methodologies are criticized in aspects such as ignoring real-world training data, low diversity of test fleet, impracticality in real-world applications (such as instrument-independent eco-driving or use alongside with traffic microsimulation), and low prediction power in the non-linear multi-dimensional space of fuel consumption and emission generation. Hence, a machine learning modeling methodology relying on on-road data from a fleet of 35 vehicles is proposed. The accuracy of the proposed instrument-independent models is tried to be improved by introducing estimates of influential engine variables to the feature set through a cascaded modeling procedure. As a result, the R-squared metric reached 83%, while score improvements as high as 37% are achieved depending on the vehicle class and the machine learning technique used.Despite the considerable scores achieved by utilizing fully-connected neural networks architectures, use of techniques compatible with the serially-correlated nature of vehicular operation seems more promising in achieving higher accuracy and robustness. Moreover, generalizing the models developed for particular vehicles to more aggregate levels is a need for diversifying models’ use cases. To this end, a two-stage ensemble learning methodology based on vehicle-specific Recurrent Neural Network (RNN) models is proposed.Long Short-Term Memory (LSTM) cell architecture resulted in the best lag-specific modeling scores (compared to the other RNN cell types). Vehicle-specific ensemble models developed by combining predictions from lag-specific RNN models showed score improvement records of up to 28% compared to the best component model (4% on average). In addition, the category-specific ensembles developed on top of metamodels achieved score improvements of up to 32% compared to the best component metamodel (6% on average). Linear regression dominantly resulted in the best score improvements for NOx and PM rates at both forecast combination stages, while random forests and gradient boosting methods dominantly worked the best for fuel and CO2 rates"--
Download or read book Tackling Climate Change Through Livestock written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2013 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Greenhouse gas emissions by the livestock sector could be cut by as much as 30 percent through the wider use of existing best practices and technologies. FAO conducted a detailed analysis of GHG emissions at multiple stages of various livestock supply chains, including the production and transport of animal feed, on-farm energy use, emissions from animal digestion and manure decay, as well as the post-slaughter transport, refrigeration and packaging of animal products. This report represents the most comprehensive estimate made to-date of livestocks contribution to global warming as well as the sectors potential to help tackle the problem. This publication is aimed at professionals in food and agriculture as well as policy makers.
Download or read book Traffic Related Air Pollution written by Haneen Khreis and published by Elsevier. This book was released on 2020-08-20 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic-Related Air Pollution synthesizes and maps TRAP and its impact on human health at the individual and population level. The book analyzes mitigating standards and regulations with a focus on cities. It provides the methods and tools for assessing and quantifying the associated road traffic emissions, air pollution, exposure and population-based health impacts, while also illuminating the mechanisms underlying health impacts through clinical and toxicological research. Real-world implications are set alongside policy options, emerging technologies and best practices. Finally, the book recommends ways to influence discourse and policy to better account for the health impacts of TRAP and its societal costs. - Overviews existing and emerging tools to assess TRAP's public health impacts - Examines TRAP's health effects at the population level - Explores the latest technologies and policies--alongside their potential effectiveness and adverse consequences--for mitigating TRAP - Guides on how methods and tools can leverage teaching, practice and policymaking to ameliorate TRAP and its effects
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 Strategies to Reduce Greenhouse Gas Emissions from Road Transport Analytical Methods written by OECD and published by OECD Publishing. This book was released on 2002-07-03 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report, which has been prepared by an OECD Working Group, uses a number of illustrative and pragmatic cases to provide important insights into reducing greenhouse gas emissions from road transport.
Download or read book Modeling Transportation Emissions Using Radar Based Vehicle Detection Data written by Lang Yu and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation introduces a new and novel methodology for estimating vehicle emissions at signalized intersections. Radar based vehicle detection systems, when placed at intersection approaches, is able to track vehicle operational characteristics at very high frequency, thus provides an ideal data source for emission estimation. By combining radar based vehicle detection data and MOVES project level analysis operating mode distribution approach, a real-time emission estimation system for signalized intersections is proposed. The Emission Computation Tool for Radar Data is developed to facilitate the automatic and continuous computation of operating mode distribution and emissions. The emission rates computed can also be integrated with existing air dispersion models in order to be used for air quality conformity and hot spot analysis. A case study is conducted to test the feasibility and validity of the proposed real-time emission estimation system. The results showed that the data collected should be used for computing a variety of parameters, including traffic volume, average speed, operating mode distribution, total emissions and emission rates for various pollutants. With emission rates, existing pollutant dispersion models such as AERMOD are applied, yielding pollutant concentrations at various locations, providing additional functionalities to the system. Evaluation results showed that the traffic volume and emission rates computed matches closely with AADT data and EPA's emission standards. Finally, an operating mode based macroscopic emission model is developed by using both empirical data from the case study as well as incorporating existing traffic flow dynamics model. This predictive model is based on estimating total time spent in each operating mode directly from traffic demand and other variables. Total time idling is modeled using kinematic wave theory and queuing theory, while others are modeled using empirical data. The validation results showed that the model is able to achieve a high degree of accuracy, within approximately 10 percent of emission results computed using the radar data. In conclusion, both the proposed real-time emission estimation system at signalized intersections and the emission model developed showed to yield highly accurate and detailed results, and are applicable in real world intersection locations.
Download or read book Improving On road Emission Estimates with Traffic Detection Technologies written by Hang Liu and published by . This book was released on 2013 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transportation has been a significant contributor to greenhouse gas and criteria air pollutant emissions. Emission mitigation strategies are essential in reducing transportation's impacts on our environment. In order to effectively develop and evaluate on-road emissions reduction strategies, accurate quantification of emissions is the critical first step. The accuracy and resolution of the traffic measures needed by the emission models will directly affect the emission estimation results. This dissertation investigates the ability of traffic detection technologies to provide the traffic measures needed for accurate on-road emissions estimation. A review of traffic detection technologies is provided with insight into their capability and suitability for estimating emissions. The Inductive Vehicle Signature (IVS) system is identified as currently the most promising technology to couple with EPA's latest MOVES emission model for estimating emissions. Models and algorithms based on the IVS detection system are developed to generate the two most important traffic measures for emission estimation: vehicle mix and average speed. The performances of the models are verified using real-world data. Assuming the IVS system and the models developed are deployed to generate vehicle mix and average speeds, the accuracy and reliability of the emissions estimation results based on these traffic measures are evaluated by simulating the operations of the models in the field using NGSIM data. Very promising results are obtained, which clearly demonstrates the capability of the IVS system for on-road emissions estimation. A Real-Time Emissions Estimation and Monitoring System based on the IVS technology is implemented on the I-405 freeway to estimate operational emissions on the road in real-time. Although average speed has been the most common input into emission models, the MOVES model is capable of using second-by-second vehicle speed trajectories to estimate emissions more accurately. Vehicle speed trajectories are becoming increasingly available thanks to the proliferation of GPS-enabled personal navigation devices and smartphones. Crowd sourced GPS data can also be used by emission models like MOVES to estimate emissions. This dissertation studies the use of a limited number of GPS speed trajectories to estimate emissions for all traffic on the road. Two fundamental questions are answered by this work: 1) how can GPS data be used for emissions estimation, and 2) how does the penetration rate of the GPS probes affect the emission results. With the methods proposed in this study, it is found that emissions can be estimated with high accuracy and reliability with even a very small penetration rate of GPS probes, when combined with the vehicle mix data generated from the IVS system. Discussions on the applications of the proposed systems and methods to various emissions analysis scenarios are also provided in this dissertation.
Download or read book Potential Impacts of Climate Change on U S Transportation written by Division on Earth and Life Studies and published by National Academies Press. This book was released on 2008-07-16 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Transportation Research Board (TRB) and the Division on Earth and Life Studies (DELS) have released the pre-publication version of TRB Special Report 290, The Potential Impacts of Climate Change on U.S. Transportation, which explores the consequences of climate change for U.S. transportation infrastructure and operations. The report provides an overview of the scientific consensus on the current and future climate changes of particular relevance to U.S. transportation, including the limits of present scientific understanding as to their precise timing, magnitude, and geographic location; identifies potential impacts on U.S. transportation and adaptation options; and offers recommendations for both research and actions that can be taken to prepare for climate change. The book also summarizes previous work on strategies for reducing transportation-related emissions of carbon dioxide--the primary greenhouse gas--that contribute to climate change. Five commissioned papers used by the committee to help develop the report, a summary of the report, and a National Academies press release associated with the report are available online. DELS, like TRB, is a division of the National Academies, which include the National Academy of Sciences, National Academy of Engineering, Institute of Medicine, and National Research Council.
Download or read book Modeling Size resolved Particle Number Emissions from Advanced Technology and Alternative Fueled Vehicles in Real operating Conditions written by Darrell Bruce Sonntag and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two particle number emission datasets were analyzed in detail. The first data set contained particle number emissions from four transit buses, including two hybrid diesel-electric buses, under a variety of driving conditions and technological/fuel treatments including: diesel oxidation catalysts, diesel particle filters and ultra-low sulfur diesel fuel. A linear mixed model was used to control for multiple sources of variability in real-world particle measurements, and identified significant factors influencing particle number emissions. Subsequently, link-level particle number emission models were developed for the DOC-equipped conventional buses, using different sets of available predictive data. Principle component analysis was used to reduce the variability of engine parameters to three interpretable parameters: percent engine load, engine speed and exhaust temperature. Time-resolved particle emissions from the diesel transit buses were evaluated in detail to understand the relationship of particle emissions, operating modes, and the relationship among multiple pollutants. Particle number and mass emissions are generally well-correlated during real-world behavior, however number are emissions are more influenced by the storage and subsequent release of particles evident during high engine speeds, while particle mass emission are more consistent with fuel events. Acceleration events on a stop-and-go urban route caused the maximum particle emission rates at resolved spatial scales, while over large spatial scales the highest emission rates occurred on the freeway. The concept of emission modes was introduced to understand the variability of gaseous and particle pollution during transient operation of the transit bus. Six repeatable emission modes were identified as being capable of explaining more than 75% of the total variability in emissions. Functional data analysis was introduced to analyze particle size distributions collected on a flex-fuel vehicle. A non-parametric smoothing technique can optimally smooth particle size distribution data without imposing prior distributional assumptions. The relationship among particle concentrations, operation conditions, and fuel type was estimated as a function of particle size using a functional linear model. Future paths of research are identified which take into account the smoothness of particle-size distributions. In summary, this dissertation contributes data, understanding, and quantitative concepts and methods to advance both research and practice-oriented particle emission models.
Download or read book Non Exhaust Emissions written by Fulvio Amato and published by Academic Press. This book was released on 2018-01-02 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-Exhaust Emissions: An Urban Air Quality Problem for Public Health comprehensively summarizes the most recent research in the field, also giving guidance on research gaps and future needs to evaluate the health impact and possible remediation of non-exhaust particle emissions. With contributions from some of the major experts and stakeholders in air quality, this book comprehensively defines the state-of-the-art of current knowledge, gaps and future needs for a better understanding of particulate matter (PM) emissions, from non-exhaust sources of road traffic to improve public health. PM is a heterogeneous mix of chemical elements and sources, with road traffic being the major source in large cities. A significant part of these emissions come from non-exhaust processes, such as brake, tire, road wear, and road dust resuspension. While motor exhaust emissions have been successfully reduced by means of regulation, non-exhaust emissions are currently uncontrolled and their importance is destined to increase and become the dominant urban source of particle matter by 2020. Nevertheless, current knowledge on the non-exhaust emissions is still limited. This is an essential book to researchers and advanced students from a broad range of disciplines, such as public health, toxicology, atmospheric sciences, environmental sciences, atmospheric chemistry and physics, geochemistry, epidemiology, built environment, road and vehicle engineering, and city planning. In addition, European and local authorities responsible for air quality and those in the industrial sectors related to vehicle and brake manufacturing and technological remediation measures will also find the book valuable. - Acts as the first book to explore the health impacts of non-exhaust emissions - Authored by experts from several sectors, including academia, industry and policy - Gathers the relevant body of literature and information, defining the current knowledge, gaps and future needs
Download or read book Climate Change 2014 written by Groupe d'experts intergouvernemental sur l'évolution du climat and published by . This book was released on 2015 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A framework for the quantification and economic valuation of health outcomes originating from health and non health climate change mitigation and adaptation action written by World Health Organization and published by World Health Organization. This book was released on 2023-05-02 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report presents a framework to link science, policy and practice for a comprehensive assessment of climate mitigation and adaptation investments and their impact on human health.The framework proposes to use weather and climate data to forecast health impacts over time, as well as biophysical and economic models to quantify the outcomes of investments in climate change adaptation and mitigation for relevant sectoral indicators and health co-benefits. It provides guidance on the economic valuation of health co-benefits of climate action, for inclusion in sector-specific cost–benefit analysis (CBA), including the spatial allocation of such costs and benefits. The framework developed and presented in this study is comprehensive, and provides various entry points for different audiences, including decision-makers in the public and private sectors, researchers and scientists, working in the health sector as well as in other thematic areas and related sectors affected by climate action.
Download or read book Air Pollution written by Abhishek Tiwary and published by CRC Press. This book was released on 2018-07-04 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: This established textbook offers a one-stop, comprehensive coverage of air pollution, all in an easy-reading and accessible style. The fourth edition, broadly updated and developed throughout, includes a brand-new chapter providing a broader overview to the topic for general reading, and presents fresh materials on air pollution modelling, mitigation and control, tailored to the needs of both amateur and specialist users. Retaining a quantitative perspective, the covered topics include: gaseous and particulate air pollutants, measurement techniques, meteorology and modelling, area sources, mobile sources, indoor air, effects on plants, materials, humans and animals, impact on climate change and ozone profiles and air quality legislations. This edition also includes a final chapter covering a suite of sampling and laboratory practical experiments that can be used for either classroom teachings, or as part of research projects. As with previous editions, the book is aimed to serve as a useful reading resource for upper-level undergraduate and postgraduate courses specialising in air pollution, with dedicated case studies at the end of each chapter, as well as a list of revision questions provided at the end as a complementary section.
