Abstract
Sudden water pollution accidents happen frequently in China, and the number of treated accidents is low, due to the slow response speed. In addition, there is a lack of decision support systems that can follow up the whole process instead of just giving a one-time method. This study constructs a framework suitable for China that has both the ability of quick responses and full-time dynamic decision support, such as an experienced expert, while not being affected by pressure, to be used an emergency response for sudden water pollution accidents. To allow new decisionmakers to integrate into this professional decision-making role more quickly, a brain-inspired system is realized through combining the machine learning algorithm KNN and the idea of iteration and dynamic programming. The feasibility of our framework is further tested through a major water pollution happened recently. The results show that this framework can be well connected with the emergency response technology system that has been completed before, while also supporting the rapid and robust decision making such as the decisionmaker’s second brain, reducing the demand for professional background and experience of emergency decisionmakers, thus effectively shorten the waiting period for response.
Highlights
Sudden water pollution accident is a dynamic iterative process of real-time evolution, while the current framework cannot follow up according to the change of pollution situation and provide decision support
After the leakage event occurred, the emergency response mechanism of emergency environmental events was started immediately, the emergency disposal work was carried out comprehensively, the leakage point was sealed in time, the pollution source was cut off, and the safety of the tailings pond was ensured
Based on the successful response to this accident and the previous experience of relevant events, we proposed the brain-inspired emergency response framework in China
Summary
Sudden water pollution accidents directly threaten human health and the safety of the environment. Due to the complexity and emergency of sudden water pollution accidents, the rapid identification and mitigation of risks in environmental emergency responses are the primary goals. Since China’s reform and opening up in 1978–2020, a total of 1475 water pollution. Based on uncertainty analysis and risk assessment for sudden water pollution accidents. Proper emergency response techniques should be chosen according to the pollutant type and should be customized by many factors such as the density of pollutants and the solubility of pollutants. With the sudden water pollution accident being a dynamic process, some scholars divided the technique evaluation system into several parts. Shi et al [7] built an emergency disposal technique index system made up of four parts: the control of pollution source, anti-proliferation of pollutants, the removal of pollutants, and the disposal of used emergency materials
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