Data Capture and Data Mining of Urban Air Pollution: The Building-Based Approach
Source: University of Macau
The method and accuracy of data capture dominate the spatial distribution of urban air pollution. Due to limited budget, installation space, and labor resource, permanent or temporary air pollution monitoring sites are very scattered. Air quality assessment of a city based on scattered monitoring sites may be incorrect because non-homogeneous distribution of air quality is neglected. Therefore, a number of model systems have been developed to estimate urban air quality at unsampled sites. In this paper, representative air quality model systems, their data captures and their applications are reviewed, which show that the input/output spatial data are commonly stored in regular grids with resolutions of 1-2 km, regardless of the complexity of urban form.