نتایج جستجو برای: air pollution modeling
تعداد نتایج: 629597 فیلتر نتایج به سال:
Multivariate receptor modeling is used to estimate profiles and contributions of pollution sources from concentrations of pollutants such as particulate matter in the air. The majority of previous approaches to multivariate receptor modeling assume pollution source profiles are constant through time. In an effort to relax this assumption, this article uses the Dirichlet distribution in a dynami...
In the last 10 yr, Beijing has made a great effort to improve its air quality. However, it is still suffering from regional coarse particulate matter (PM10) pollution that could be a challenge to the promise of clean air during the 2008 Olympics. To provide scientific guidance on regional air pollution control, the Mesoscale Modeling System Generation 5 (MM5) and the Models-3/Community Multisca...
It is estimated that even up to 30% of buildings worldwide may be the subject of complaints connected with the quality of indoor air. Potential sources of air pollution can be both organic and inorganic particles. This article focuses on biological air pollutants from living and dead biological sources, especially those connected with fungi. Fungi found in the indoor air of domestic dwellings i...
Several cultures emphasize that one should live in harmony with the environment, avoiding those human activities that substantially interfere with natural processes, including air pollution. Undoubtedly, the atmosphere is a principal environmental component, representing a crucial part of the entire climate system (Ayers, 2005). It behaves as a colloidal medium because it contains not only gase...
Purpose. Development of CFD model and computer code for the analysis forecasting process formation areas chemical contamination in workplace event an emergency leak a hazardous substance, allowing to take into account influence obstacles operation ventilation system on this process. The methods. masstransfer equation is used calculate over time. Navier-Stokes equations are solve problem aerodyn...
Air pollution is one of the most important environmental problems in urban areas, being extremely critical in Mexico City. The main air pollution problem that has been identified in Mexico City metropolitan area is the formation of photochemical smog, primarily ozone. The study and development of modeling methodologies that allow the capturing of time series behavior becomes an important task. ...
Background and Objective: Concentration prediction with Gaussian dispersion models is highly sensitive to meteorological data. The lack of sounding data station in developing countries may lead to large error and uncertainty in air pollution modeling results. In this paper, the effects of estimated upper air data on the model output concentration values were investigated. Materials and Met...
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