| Title |
Modeling based decision for smart city environmental alert system for accidental air pollution |
| ID_Doc |
41480 |
| Authors |
Masmoudi, S; Kallel, A; Taieb, D; Kachouri, A |
| Title |
Modeling based decision for smart city environmental alert system for accidental air pollution |
| Year |
2017 |
| Published |
|
| DOI |
|
| Abstract |
The importance of industrial activities in Sfax (Tunisia) lies not only in the local economy boost, but also in the impact on the urban and natural environments. In fact, Sfax is characterized by two major industrial sectors: Phosphate and petroleum industries, presenting therefore numerous possible hazards caused by pipeline accidental leaks and incidents, tanks or eruptive wells explosions. The risk management in industrial areas such as phosphate and petroleum industries aims to reduce hazards as low as possible in order to protect the environment, the staff and the inhabitants in and around sites. In the proposed study, the areal location of hazardous atmospheres (ALOHA) models have been selected for its simplicity to simulate and assess key hazards like toxicity, flammability, thermal radiation and explosion. Results are used to estimate the individual and societal risk inside and outside the industrial area. These results are useful as operational tools for industrialists and risk experts to assess the vulnerability of the areas surrounding the industry. Finally, the maps obtained from simulating different scenarios can be publicly accessible via google drive to apply emergency measures plan when needed. |
| Author Keywords |
Pollution; Risk; ALOHA; hazards; information |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000426614300019 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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