Frontiers of Environmental Science & Engineering
>> 2011,
Volume 5,
Issue 4
doi:
10.1007/s11783-011-0369-4
RESEARCH ARTICLE
A building-based data capture and data mining technique for air quality assessment
1. Faculty of Management and Administration, Macau University of Science and Technology, Macau, China; 2. Department of Civil and Environmental Engineering, University of Macau, Macau, China; 3. Dirccao dos Servicos de Proteccao Ambiental, Macau, China
Available online: 2011-12-05
Next
Previous
Abstract
Recently, a building-based air quality model system which can predict air quality in front of individual buildings along both sides of a road has been developed. Using the Macau Peninsula as a case study, this paper shows the advantages of building-based model system in data capture and data mining. Compared with the traditional grid-based model systems with input/output spatial resolutions of 1–2 km, the building-based approach can extract the street configuration and traffic data building by building and therefore, can capture the complex spatial variation of traffic emission, urban geometry, and air pollution. The non-homogeneous distribution of air pollution in the Macau Peninsula was modeled in a high-spatial resolution of 319 receptors·km . The spatial relationship among air quality, traffic flow, and urban geometry in the historic urban area is investigated. The study shows that the building-based approach may open an innovative methodology in data mining of urban spatial data for environmental assessment. The results are particularly useful to urban planners when they need to consider the influences of urban form on street environment.
京公网安备 11010502051620号
