Air pollution model

  1. Maps, satellite images show Canadian wildfire smoke enveloping parts of U.S. with unhealthy air
  2. GAINS Model
  3. An ambient air quality evaluation model based on improved evidence theory
  4. Atmospheric monitoring and modelling
  5. Air Pollution Modeling and its Application XXVI


Download: Air pollution model
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Maps, satellite images show Canadian wildfire smoke enveloping parts of U.S. with unhealthy air

• U.S. cyberattack impacts federal agencies, NATO allies • Al Pacino, Noor Alfallah welcome new son • Alleged Pentagon leaker Jack Teixeira indicted by federal grand jury • Wildfire smoke blankets upper Midwest, forecast to head east • Trump golf course criminal investigation closed, Westchester D.A. says • Supreme Court rejects challenges to Indian Child Welfare Act, leaving law intact • Man charged in mother's 2016 killing at sea dies awaiting trial • Live Nation's hidden ticket fees will no longer be hidden, company says • Man sentenced to 18 years for anti-LGBTQ+ shooting • • Shows • Live • Local • More • • Latest • Video • Photos • Podcasts • In Depth • Local • Global Thought Leaders • Innovators & Disruptors • • Log In • Newsletters • Mobile • RSS • CBS Store • Paramount+ • Join Our Talent Community • Davos 2023 • Search • Search • Smoke from Canadian wildfires caused decreased The National Weather Service said winds were continuing to bring smoke from the fires into the U.S. on Saturday, causing "moderate" to "unhealthy" air quality across the U.S. Northeast, Mid-Atlantic, Ohio Valley and Midwest. For many areas, however, that marked improvements from earlier in the week when they were shrouded in an orange, hazardous haze, leading to flight disruptions and even There was "widespread improvement" in air quality overnight Thursday into Friday as the thickest wildfire smoke drifted out to the Atlantic, said NOAA's Cooperative Institute for Meteorological Satellite Stu...

GAINS Model

Many traditional air pollutants and greenhouse gases have common sources. Their emissions interact in the atmosphere, and—jointly and individually—cause a variety of harmful environmental effects at the local, regional, and global scales. The GAINS model explores cost-effective emission control strategies that simultaneously tackle local air quality and greenhouse gases so as to maximize benefits at all scales. This GAINS tool offers three ways to reveal policy interventions with multiple benefits: • Simulation of the costs, health and ecosystems benefits of user-defined packages of emission control measures; • Cost-effectiveness analysis to identify least-cost packages of measures that achieve user-defined policy targets; and • Cost-benefit assessments that maximize (monetized) net benefits of policy interventions.

An ambient air quality evaluation model based on improved evidence theory

It is significant to evaluate the air quality scientifically for the management of air pollution. As an air quality comprehensive evaluation problem, its uncertainty can be effectively addressed by the Dempster–Shafer (D–S) evidence theory. However, there is not enough research on air quality comprehensive assessment using D–S theory. Aiming at the counterintuitive fusion results of the D–S combination rule in the field of comprehensive decision, an improved evidence theory with evidence weight and evidence decision credibility (here namely DCre-Weight method) is proposed, and it is used to comprehensively evaluate air quality. First, this method determines the weights of evidence by the entropy weight method and introduces the decision credibility by calculating the dispersion of different evidence decisions. An algorithm case shows that the credibility of fusion results is improved and the uncertainty is well expressed. It can make reasonable fusion results and solve the problems of D–S. Then, the air quality evaluation model based on improved evidence theory (here namely the DCreWeight model) is proposed. Finally, according to the hourly air pollution data in Xi’an from June 1, 2014, to May 1, 2016, comparisons are made with the D–S, other improved methods of evidence theory, and a recent fuzzy synthetic evaluation method to validate the effectiveness of the model. Under the national AQCI standard, the MAE and RMSE of the DCreWeight model are 1.02 and 1.17. Under the na...

Atmospheric monitoring and modelling

The challenge Urban and regional air pollution is a significant environmental threat Urban and regional air pollution is a significant environmental threat. Industry, power generation and motor vehicles release pollutants that can lead to photochemical smog, haze and acidification. Pollution threatens environmental sustainability and can have harmful effects on human health. Our response We work with the Australian community to solve air pollution problems Our scientists work with industry, regulatory bodies and the community to deliver commercially-viable and cost-effective air pollution solutions. These are based on our understanding of the sources, fate and behaviour of contaminants as they disperse through our atmosphere. We develop the knowledge and techniques required to monitor, model and analyse environmental processes in the atmosphere and at the land surface. CSIRO expertise: Greenhouse and ozone depleting gases: • measurement and modelling of atmospheric constituents including a range of greenhouse gases at trace to source levels • quantification of sources and sinks • firn and ice cores air sample extraction and interpretation • derivation of greenhouse gas trends • maintenance of Cape Grim air archive. Reactive gases and aerosols: • atmospheric chemistry of reactive gases such as ozone and volatile organic compounds • measurement and modelling of aerosol chemistry, aerosol-cloud interaction and microphysics for long term trends analyses, process studies, and a...

Air Pollution Modeling and its Application XXVI

Current developments in air pollution modeling are explored as a series of contributions from researchers at the forefront of their field. This newest contribution on air pollution modeling and its application is focused on local, urban, regional and intercontinental modeling; emission modeling and processing; data assimilation and air quality forecasting; model assessment and evaluation;atmospheric aerosols.Additionally, this work also examines the relationship between air quality and human health and the effects of climate change on air quality. This work is a collection of selected papers presented at the 36 thInternational Technical Meeting on Air Pollution Modeling and its Application, held in Ottawa, Canada, May 14-18, 2018. The book is intended as 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. Dr Clemens Mensink is head of the environmental modelling unit at VITO in Belgium. The unit employs 85 researchers, ICT professionals and technicians. It develops, improves and implements methodologies and computer models to estimate the impact of human activities on air, water and soil quality in a spatial context. Clemens received his PhD (1992) and a post graduate degree (1988) in fluid dynamics from the Von Karman Institute in Belgium. He studied chemical engineering, fluid mechanics and numerical mathematics, and re...