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Tropospheric ozone in high concentrations can cause health problems. A reliable alerting system is needed. In this paper we present the hybrid model that can be used for ozone forecasting in urban microlocations. The hybrid model is combined from meteorological and air-quality models (covering large geographical 3-dimensional space), and empirical model (offering good local forecasts), implemented...
Recent multimedia research has increasingly focused on large scale multimodal data from disparate geospatial sensors. In addition to the volume of the data, the diversity and granularity of the data poses a major challenge in extracting meaningful and actionable information. To address this, we present a novel spatial interpolation framework, capable of incorporating multimodal data sources and modeling...
Increased levels of particulate matter (PM) in the atmosphere have contributed to an increase in mortality and morbidity in communities and are the main contributing factor for respiratory health problems in the population. Currently, PM concentrations are sparsely monitored; for instance, a region of over 2200 square kilometers surrounding Melbourne in Victoria, Australia, is monitored using ten...
In air quality modelling, determination of the background ozone level is essential as it highly affects the accuracy of the photochemical air quality model. It is known that the background ozone level, especially in urban areas, has been changing over the years. Unfortunately, the reasons of that alteration were not clear and the background ozone itself was not easily derived in practice. In this...
Intelligent transportation system (ITS) refers to efforts to add communications technology to transport infrastructure in a way to manage factors that usually are at odds with each other such as vehicle wear, safety, fuel consumption, transportation times and air pollution. Traffic modeling of passengers in large cities is one of ITS branches. In such cities like Tabriz, passenger traffic congestion...
Forecasting is a challenging problem in highly nonlinear dynamic systems. The main goal in development of forecasting models in complex systems is to produce a model that can accurately behave similar to the main system. In problems such as air pollution forecasting, the presence of uncertainties and nonlinearities affects the model's precision. In this paper, ozone concentration, which is well-known...
Developing sustainable urban environments is complex as it requires consideration of interacting social, economic and environmental sustain ability factors. The task is made even more difficult by the wide variety of stakeholders (e.g. planners, architects, businesses and the public) that may be involved in the process and the lack of a common language for all to understand. This paper describes a...
Building on the extensive research in Virtual Reality (VR), we are proposing a new dynamic prototype for modelling and simulating carbon emissions in a virtual village called VIRVIL. VIRVIL is a simulated settlement for the assessment of the impact of low and zero carbon technologies and measures in the built environment. The prototype will focus on the impact on the community as a whole, as well...
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