The purpose of the study is to generate traffic air information system) to determine a proper zone of AQMS (air analyzed were carbon monoxide (CO), and nitrogen oxides (NOx) pollution map using mathematical mode...
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The purpose of the study is to generate traffic air information system) to determine a proper zone of AQMS (air analyzed were carbon monoxide (CO), and nitrogen oxides (NOx) pollution map using mathematical model and GIS (geographic quality monitoring station) in municipality area. The pollutants which can be harmful to people living in the area. The three steps of mapping process were performed under the GIS environment using the existing vehicle emission rates and pollutant dispersion model. First, traffic volume, road network, and the emission rates of road segments varying with types of vehicle were collected from existing data. Second, the pollutant concentrations were calculated by use of CALINE4, a tool with Gaussian dispersion model. The model parameters include emission rate, wind directions and speeds, ambient temperature and observed pollutant concentration, and atmospheric stability during all seasons from the January 1, 2010 to May 31,2011 with regardless the rainy season. This resulted in concentrations at many receptor points along links of the road network. Third, distributions of pollution concentrations were generated by means of the spatial interpolation of those from receptors. The results of pollution raster-based maps are used for determining frequency of violence and combined pollution map. The resulting frequency of violence and intensity concentration will be further integrated to determine a potential area of AQMS. Finally, achieving pollution potential area of AQMS can be located as helpful basic data for efficient traffic and transportation planning.
This paper is focused on the source term estimation(STE) with unknown number of sources. The dispersion model of multiple point sources is constructed firstly. Then the cost function is established by using the outp...
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This paper is focused on the source term estimation(STE) with unknown number of sources. The dispersion model of multiple point sources is constructed firstly. Then the cost function is established by using the outputs of dispersion model and the fixed sensor network’s measurements. To ensure finding the global minimum of the cost function, the Improved Cuckoo Search(ICS) algorithm is applied. Simulations with different sensor and noise modes are designed to evaluate the estimating performance. Finally, comparison of ICS, Particle Swarm Optimization(PSO) and Genetic Algorithm(GA) proves the superiority of ICS in this problem.
<正> International Space Station (ISS) employs Catalytic Wet Oxidation (Volatile Reactor Assembly, VRA) for water recycling. Earth gravity experiments shows that VRA is very effective at removing polar, low mole...
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<正> International Space Station (ISS) employs Catalytic Wet Oxidation (Volatile Reactor Assembly, VRA) for water recycling. Earth gravity experiments shows that VRA is very effective at removing polar, low molecular weight organics. To compare reactor performance under micro-gravity, tracer study was done on space shuttle in 1999. This research indicates that the reactor can be considered as plug flow under both micro-gravity and earth gravity experiment conditions. dispersion is not important in VRA reactor under experiment condition.
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