نتایج جستجو برای: air quality dispersion model
تعداد نتایج: 2944826 فیلتر نتایج به سال:
Dense Medium Cyclone is a high capacity device that is widely used in coal preparation. It is simple in design but the swirling turbulent flow, the presence of medium and coal with different density and size fraction and the presence of the air-core make the flow pattern in DMCs complex. In this article the flow pattern simulation of DMC is performed with computational fluid dynamics and Fluent...
Background and Objectives: Tous gas power plant as an emission source of gas pollutants is located in the northwest of Mashhad City. This power plant is located in the neighborhood of various (linear, point and area) sources of pollution including Tous thermal power plant, Tous industrial town and motor vehicles hence, it is not possible to determine precisely and accurately the share of these ...
A new air quality modeling system, the surface meteorology and ozone generation (SMOG) model, is used to investigate the evolution and properties of air pollution in the Los Angeles basin during the southern California air quality study (SCAQS) intensive field program. The SMOG model includes four major components: a meteorological model, a tracer transport code, a chemistry and aerosol microph...
An understanding of the complexity of spatial-temporal variations in regional air quality and its respective source contributors is one of the priority research areas due to the adverse effects of air pollution on human health and the environment. In this paper, we integrate air dispersion modeling and Geographic Information System (GIS) based spatial analysis methods to characterize regional a...
Introduct ion This guide provides general information on specifying acceptable exhaust and intake designs. It also offers various quantitative approaches (dispersion modeling) that can be used to determine expected concentration (or dilution) levels resulting from exhaust system emissions. The guide, one in a series on best practices for laboratories, was produced by Laboratories for the 21st C...
Introduct ion This guide provides general information on specifying acceptable exhaust and intake designs. It also offers various quantitative approaches (dispersion modeling) that can be used to determine expected concentration (or dilution) levels resulting from exhaust system emissions. The guide, one in a series on best practices for laboratories, was produced by Laboratories for the 21st C...
A new methodology, referred to as the multi-scale structure, integrates "tailpipe-to-road" (i.e., on-road domain) and "road-to-ambient" (i.e., near-road domain) simulations to elucidate the environmental impacts of particulate emissions from traffic sources. The multi-scale structure is implemented in the CTAG model to 1) generate process-based on-road emission rates of ultrafine particles (UFP...
It is a generally accepted fact that urban vegetation has the potential to filter fine and ultra fine dust particles (PM10 and smaller) out of the air through deposition processes taking place at the leaf surfaces. It is therefore an obvious idea to investigate the potential of vegetation for improving the local air quality in urban areas, especially in those locations that are heavily polluted...
The Intermountain West is currently experiencing increased growth in oil and gas production, which has the potential to affect the visibility and air quality of various Class I areas in the region. The following work presents an analysis of these impacts using the Comprehensive Air Quality Model with extensions (CAMx). CAMx is a state-of-the-science, "one-atmosphere" Eulerian photochemical disp...
The numerical simulation of a level IV fugacity model coupled to a dispersion-advection equation to simulate the environmental concentration of a pesticide in rice fields is presented. The model simulates the dynamic distribution of the pesticide in a compartmental system constituted by air, water, rice plants and bottom sediment together with saturated soil layers. The level IV fugacity model ...
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