The purpose of this program is to build "Response System of Environmental Quality in Taichung," which is applying information of Taichung’s air quality, pollution source management and strengthening management quality of the Environmental Protection Bureau (EPB) air quality. This year we built system infrastructure and maintained its normal operation, and completed integration from over 20 system sources, and built 3 platforms and 22 modules, and completed 1 training course for management level. As to air quality management platform, the users can be execution n AQI, PSI, PM2.5, PM10 and O3 of trend analysis to assess the short-term or excessive frequency and storms of the long-term effects of all criteria pollutants by the data of quality monitoring stations. As to stationary air pollution source control platform, by interfacing continuous numerical data and other system data of environmental license management system, stationary air pollution source system, related monitoring network such as air pollution monitoring network, Continuous Emission Monitoring Systems (CEMS) and meteorological of EPA, integrated baseline control the cause of the Taichung area, in order to facilitate the management of each business unit to control the operation of the Taichung area situation and pollutant emissions related data. Combined with the trend analysis of GIS platform application technology and air quality of monitoring data, and used wind rose chart drawing implement and GIS platform presentation, to effective supply user to investigate different intervals of time with the statistics value of air quality monitoring and most frequent wind direction, the order benefit management unit as a reference simulation of subsequent decisions. AS to results demonstration platform, it provide users with operating system functionality, with system alert allowing users to immediately understand the air quality monitoring information, and file download and app information

Taichung, Air quality analysis, Stationary air pollution source control