In the remainder of this paper, we first describe the motivations for the development of MoDisNet system as well as the main contributions of this paper. Then we discuss the novel techniques we provide to address the problems when a sensor grid is constructed based on the mobile and high-throughput real-time data environment. We also present the system architecture to meet the demands of the project as well as the sensor unit itself. This is then followed by the simulation platform design and the networking performance simulation as well as the real-time pollution data analysis scenarios. We conclude the paper with a summary of the research and a discussion of future work.2.
?Motivations and ContributionsRoad traffic makes a significant contribution to the following emissions of pollutants: benzene(C6H6), 1,3~butadiene, carbon monoxide(CO), lead, nitrogen dioxide(NO2), Ozone(O3), particulate matter(PM10 and PM2.5) and sulphur dioxide(SO2). The impact of local air quality pollutants on the environment and health have been studied and well documented [6]. We summarize the interaction and cooperation chain of the population, traffic, air quality and health as Figure 1.Figure 1.The adverse health impacts chain.The figure shows that, increased car ownership and use in urban areas (road traffic) generate some chemical emissions to the air to form the air pollution. With various weather conditions (effected by the temperature, wind, humidity, pressure, etc.
), these pollutants pose different air qualities.
When human beings expose to the polluted air (especially in the urban areas), driving in heavy traffic, near the highways or at the ��downwind�� locations, with the dose-response, people may suffer breathing problems and asthma attacks, which will contribute to risk of heart GSK-3 attacks among people with heart disease.Under the current Environment Act of UK [7], most local authorities have air quality monitoring stations to provide environmental information to public daily via internet. To date, the development of work in these areas has been hampered by critical data gaps and asymmetries in data coverage, as well as the lack of on-line data processing capability offered by the e-Science.
Information on a number Entinostat of key Site URL List 1|]# factors such as individual driver/vehicle activity, pollution concentration and individual human exposure has traditionally either simply not been available or only available at high levels of spatial and temporal aggregation, which average out scientifically critical local variations. For example, the conventional approach to assessing pollution concentration levels is based on data collected from a network of permanent air quality monitoring stations.