Rapid emergency assessment and decision-making method for water pollution accidents based on deep learning

Abstract

The present invention relates to the field of environmental protection, and the purpose of the present invention is to provide a rapid emergency assessment and decision-making method for water pollution accidents based on deep learning. Based on the neural network model established through deep learning, the emergency assessment conclusions are rapidly formed and used for the emergency decision-making support. The technical scheme is a rapid emergency assessment and decision-making method for water pollution accidents based on deep learning, and the method comprises: (1) determining upstream hydrological conditions; (2) determining downstream hydrological conditions; (3) obtaining high-precision river underwater topographic data through mapping; (4) selecting the most typical target location (ie, a sensitive target) as the ecological environmental protection object for emergency assessment and decision making, and as the output object for deep learning; (5) establishing a typical flowfield database; (6) determining the accident blackspots along the river; (7) establishing a typical sudden water pollution accident case library; and (8) establishing an accident emergency assessmentand decision-making system.

Description

technical field [0001] The invention relates to the field of environmental protection, in particular to a rapid emergency assessment and decision-making method for dealing with sudden water pollution accidents. Background technique [0002] For a long time, worsening water pollution accidents have always been an important threat to the safety of water sources in most cities at home and abroad. These water pollution emergencies include not only conventional pollution accidents such as industrial sewage, domestic wastewater, and non-point sources, but also sudden water pollution incidents such as chemical and oil spills from ships and docks, industrial accident discharges, and terrorist attacks. Statistics show that in recent years, sudden pollution accidents caused by oil spills and toxic chemical leakage have occurred frequently all over the world, causing serious environmental pollution and huge ecological losses. [0003] At present, the hydrodynamic mathematical model is...

AI Technical Summary

Problems solved by technology

Although this method can provide scientific and quantitative evaluation results, in reality, due to limited conditions and the influence of many uncertain factors such as hydrological flow field, pollutant type and leakage, accident location, etc. A reliable mathematical model of the water environment can be quickly established within a short period of time, especially when encountering complex situations such as wide and deep large and medium-sized rivers or pollutants that are insoluble or semi-soluble, it is necessary

Images