CMAS is currently accepting oral and poster abstracts for the sessions listed below . In order to give a presentation, you must be registered for the conference as a presenter and provide us with a presentation title, a brief description, and a preference for session. Presenter registrations must be received by July 26, 2021 to be considered
Submissions will be sent to the respective session chairs for review. Presenters will be notified of their acceptance status on or after August 27, 2021. We will make every effort to include all reasonable submissions. If the presentation is accepted, the presenter will be asked to submit an extended abstract for publication on our web site.
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Sessions planned for the 20th Annual CMAS Conference:
The energy system is currently responsible for the majority of U.S. emissions of criteria air pollutants, greenhouse gases, and short-lived climate forcing pollutants. Understanding how the energy system may evolve in the future and the resulting implications on the environment is critical if environmental decision-makers are to address these challenges proactively and efficiently. The goal of this session is to highlight research efforts involved in exploring the linkages among air quality, climate and energy, with focus on supporting decision-making at federal, state or local levels. Among the topics that are appropriate for inclusion are:
Recent advances have enabled the use of cloud computing for atmospheric model applications. Use of cloud computing avoids the use of in-house HPC resources and the associated costs of maintenance, while leveraging the use of state-of-the-art resources from multiple cloud vendors. The objective of this session is to invite papers that focus on using cloud computing resources that can be deployed on-demand for research and applications. The topics for this session will include:
The current COVID-19 pandemic that is affecting the entire planet had periods of shutdown at different times in several parts of the world and emissions from various transportation and energy sectors showed reductions during the peak of the shutdown. However, whether this reduction in emissions from several sectors led to overall improvements in air quality at local to regional scales is not clear. We seek abstracts that discuss one or more of the following topics:
This session is dedicated to the application of innovative methodologies for preparing and processing emissions for air quality modeling applications. Techniques to improve estimates of wild fires, dust and biogenic emissions, and temporal allocation of anthropogenic sources are of special interest for this session. Session topics include:
Typically, a limited number of specific simulations using chemical transport models (CTMs) or Gaussian plume models are used to derive relationships between emissions from particular sources and a response variable (pollutant concentration, health impact, etc.) for specific locations. We want to discuss here the potential usages/applications of Machine Learning (ML) and Reduced form models (RFM) that are computationally efficient and allow users to rapidly assess air quality impacts for a large number of emission scenarios, making them especially useful as screening tools for evaluating policy scenarios.
There have been many ML and RFM implementations on air quality forecasting in recent years and this session focuses on the development, evaluation, and application of ML and RFMs. Topics include, but are not limited to, the following:
Work in recent years has vastly improved the science of air quality and methodologies for modeling and analyzing the distribution of air pollutants at various temporal and spatial scales. Such advances were motivated by the results from the multitude of applications and evaluations of air quality models that addressed various research, development and regulatory modeling issues. We seek abstracts that illustrate innovative methodologies and process algorithms in air quality modeling. Session topics include:
The purpose of this session is to present modeling approaches for various applications ranging from exposure assessments in support of health studies to near-source assessments such as near-roadway studies or community-scale applications. A variety of models can provide these detailed, spatially-, and temporally-resolved concentrations in support of environmental health studies. Models also provide an opportunity to examine how changes in emissions affect near-road air quality or other near-to-source impacts. Local governments and community groups may be interested in what if scenarios such as how to optimize traffic patterns around heavily polluted areas. For example, when schools are located near roadways, models can help to examine potential impacts on children's health or the relative contribution of school-related exposure compared to, or combined with, home-related exposure. The topics for this session will involve development, evaluation and application of models with the following focal areas:
Also, evaluation of air quality modeling systems (including meteorological and emissions models) is a key to verify the integrity of such modeling systems for various applications at various spatial and temporal resolutions. Abstracts are invited that present results of model evaluation studies, with emphasis on new techniques for model evaluation. Session topics include:
Air quality models continue to be important tools for guiding decision makers in preparing State Implementation Plan (SIP) applications to set standards for compliance. We seek abstracts that describe how air quality models are used in specific applications, with particular emphasis on the types of sensitivity and diagnostic analyses employed and on the model evaluation studies that were conducted for various applications.
This session's topics include (but are not limited to):
Papers in this session are devoted to analyzing data from both conventional and remote-sensing observational platforms. In particular, presentations are invited on the integration of data collected from different platforms, and on the use of new satellite data products in air quality modeling. Session topics include:
In addition, new sensor technologies, due to their characteristics (e.g., low cost, small size, high portability), are becoming increasingly important for individual exposure assessment, especially since this kind of instrument can provide measurements at high spatial and temporal resolution, which is a notable advantage when approaching assessment of exposure to environmental contaminants.
This session will provide information about advancements on the developments and use of sensor technology for air quality and health studies.
Topics include, but are not limited to, the following:
Wildfires have continued to affect air quality and public health in several parts of North America. We seek abstracts that discuss one or more of the following topics:
Extended abstracts should be submitted by November 1, 2021. All presenters need to provide an extended abstract. The abstracts should be NO LONGER THAN 6 pages and should be submitted in PDF format. The abstract should include your name, affiliation, e-mail address, fax number, and phone number. Please e-mail your extended abstract to firstname.lastname@example.org with the subject line "Conference extended abstract" by November 01, 2021. Extended abstracts will not be accepted after December 1, 2021.
For technical information about presentations, including what files to send us, how to record a narration onto a PowerPoint, and a guide on how the Question and Answer session will work, please visit our Info for Presenters page.
There will be a virtual poster session this year!