posted on 6:58 PM, July 6, 2016
Project Leader: Peter L. Jackson
A challenge to managing and improving air quality is to identify the pollution sources with the largest impact, and to target these for reduction. Air pollution dispersion models, such as Calpuff, are used to calculate the impact of air pollution sources (vehicles, industries, etc.) on air quality across an entire airshed. For some pollutants, such as particulate matter (PM), there may be hundreds or even thousands of sources in an airshed. The problem is that the large databases of dispersion model outputs are difficult and time-consuming for non-modellers to access and manipulate. This project will develop a web-based interactive tool for air quality managers to use, query, and visualize a spatial database of results for Prince George from the Calpuff air quality dispersion model. This will allow those involved in air quality management, and even the public, to interactively perform source reduction scenarios and visualize their potential impact. In the future, the prototype developed for Prince George could be extended to other airsheds.