Spatiotemporal multimedia emission inventory for polycyclic aromatic hydrocarbons near petroleum production plants in China based on a 10′ × 10′ grid

A spatiotemporal model was developed to investigate emissions of polycyclic aromatic hydrocarbons (PAHs) in Daqing, a Chinese city with large petroleum industry plants. The model was based on land-use types determined on a 10′ × 10′ grid. A geographic information system and regression analyses were used to characterise spatial and temporal variations in PAH emissions into multiple environmental media. The simulated results were validated using previously published experimental data, and the model was found to function well. PAH emissions to the atmosphere, soil, and surface water between 1998 and 2013 were estimated. The results indicated that PAH emissions to the atmosphere increased but PAH emissions to the soil and surface water decreased over the study period. PAH emissions to the atmosphere were markedly higher in winter than in summer. PAH emissions were concentrated in urban areas and areas near petroleum production plants, indicating that PAH emissions were closely related to industrial activities. The results will support research into the migration and transformation of PAHs and human health and ecological risk assessments. The results may also be useful for developing policies for controlling PAH pollution and managing risks associated with PAHs.