Spatial interpolation of fine particulate matter concentrations using the shortest wind-field path distance.

ABSTRACT: Effective assessments of air-pollution exposure depend on the ability to accurately predict pollutant concentrations at unmonitored locations, which can be achieved through spatial interpolation. However, most interpolation approaches currently in use are based on the Euclidean distance, which cannot account for the complex nonlinear features displayed by air-pollution distributions in the wind-field. In this study, an interpolation method based on the shortest path distance is developed to characterize the impact of complex urban wind-field on the distribution of the particulate matter concentration. In this method, the wind-field is incorporated by first interpolating the observed wind-field from a meteorological-station network, then using this continuous wind-field to construct a cost

SUBMITTER: Li L 

PROVIDER: S-EPMC4010455 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature