Title :
Simulation and Identification of Spatial Uncertainty of Urban Air Pollution
Author :
He, W. ; Liu, Y. ; Zeng, S. ; Chen, J. ; Tong, Q. ; Li, H.
Author_Institution :
Dept. of Environ. Sci. & Eng., Tsinghua Univ., Beijing
Abstract :
There are significant uncertainties inherent to urban development associated with economic growth and land use. These uncertainties will interact and cumulate, leading to ´fluctuation´ of environmental impact. This study aims to develop a methodological framework to quantitatively simulate and analyze the spatial uncertainty of urban air pollution in parallel with future urban development, by combining scenario analysis and spatial Monte Carlo sampling technique. This framework is developed for a long-term assessment at a regional scale, which is illuminated in this article by a case study in Dalian Municipality, China.
Keywords :
Monte Carlo methods; air pollution; atmospheric techniques; socio-economic effects; China; Dalian Municipality; Monte Carlo sampling technique; economic growth; environmental impact; future urban development; land use; spatial uncertainty; urban air pollution; Air pollution; Analytical models; Animals; Economic forecasting; Environmental economics; Helium; Monte Carlo methods; Protection; Transportation; Uncertainty;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.448
