| 英文摘要 |
When a toxic chemical disaster breaks out, it causes casualty and property loss as well as environmental pollution. Therefore, it is important that how to quick and accurate response and dispatch emergency resources, under the circumstance of insufficient local government officers. This year, we proposed the 4-year master plan of “Toxic Decision Support System” for the project. Moreover, we analyzed and reconstructed the five high prioritized databases even though the time and resources had been limited. There were three sub-systems developed this year. The first one was the “Toxic Disaster Joint Preventions Team System.” Currently, there are sixty five local and eleven national joint prevention teams in the system. The second part was the “Live Monitoring Data and Video Transmitting System”. The third one was the “Toxic Transportation Disaster Response System.” It gathered vehicle, driver, toxic chemical, time and location information automatically.
As to transportation disaster prevention, there were three main tasks. The first was historical vehicle tracks analysis. After evaluating transport volume and risks, the project team produced transport maps of Vinyl Chloride and Phosphorus trichloride. The EPA and EPB could utilize the transport maps for further management in decision support. The third one was to promote upgraded solutions of real-time tracking system and to develop manually disaster reporting functions by real-time tracking system.
After completed database reconstruction and developed other sub-systems, we built an integrated decision support web system. The system provides response information, including factory/vehicle profile, floor plans, amount of toxic based on factory or transportation disaster. Furthermore, the chemical properties of EPA-regulated two hundred and fifty nine toxic chemicals, information of joint preventions teams, and facilities nearby were also included. In addition, we used GIS to present disaster location and surrounding toxic chemical factories. At last, the system provided experiences of decision support with suggestions. We hope that the disaster response system could be capable of making better decisions with critical information.
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