Article Details

Abstract

To meet the requirements of abrupt water environmental pollution accident disposal in the new era and address the shortcomings of existing information systems in China, this study designs an emergency command system covering the whole process of “pre-event, occurrence, during-event, and post-event” by standardizing emergency response disposal procedures, constructing a professional environmental emergency knowledge base, and developing functions for pollution simulation prediction and impact analysis, which provides a new solution for the emergency command of abrupt water environmental pollution events. The system assists environmental emergency personnel in decision-making based on predictive analysis results and knowledge base functions, effectively resolves the problem of non-standard disposal caused by the lack of experience of emergency personnel, improves the scientificity and efficiency of emergency decision-making and disposal, and provides technical support for promoting the high-quality development of ecological and environmental emergency management.

Keywords

water environmental pollution; emergency command; predictive analysis; emergency management; decision support

References

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About the authors

Li Mingbin (1975-), male, Han ethnicity, from Leshan, Sichuan, is a senior engineer with a bachelor's degree. His research interests include ecological environment informatization and artificial intelligence applications; Huang Jianchang (1994-), male, Han ethnicity, from Guangzhou, Guangdong, is an engineer with a master's degree. His research interests include ecological environment informatization, smart cities, digital transformation, and artificial intelligence applications; Chen Xi (1995-), male, Han ethnicity, from Huizhou, Guangdong, engineer, bachelor's degree, research direction: ecological environment informatization, artificial intelligence; Li Shunping (1985-), male, Han ethnicity, from Foshan, Guangdong, is an engineer with a bachelor's degree. His research interests include ecological environment informatization and artificial intelligence.