A method for identification and traceability of hazardous waste illegal dumping risk areas based on multi-source data

Abstract

The invention discloses a multi-source data-based identification and traceability method for illegal dumping risk areas of hazardous wastes. The method uses remote sensing technology and deep learning to determine illegal dumping points in the area; combined with UAV shooting and image classification methods, and then Conduct a second review of the identified medium and high risk areas, quickly identify the areas of illegal dumping of hazardous waste in the determined medium and high risk areas, and build a risk probability map of illegal dumping; through the construction of a hazardous waste database and a classification method based on machine learning, determine the production waste Whether the unit has missed, misreported, or underreported hazardous waste, and identifying suspicious waste-producing units will help the regulatory department narrow the scope of supervision. At the same time, combined with the determined risk probability map, the list of waste production units that may be involved in illegal dumping in a certain illegal dumping point can be identified, and the precise traceability of illegal dumping of hazardous waste can be realized.

Description

technical field [0001] The invention relates to the field of hazardous waste management, in particular to a multi-source data-based method for identifying and tracing risk areas of illegal dumping of hazardous waste. Background technique [0002] Hazardous waste (referred to as hazardous waste) refers to the hazardous waste listed in the national list of hazardous waste or recognized according to the national hazardous waste identification standards and identification methods (including corrosive, toxic, flammable, reactive or infectious) of solid waste. Hazardous wastes mainly come from chemical, oil refining, metal, mining, machinery and pharmaceutical industries; hazardous wastes generally have various toxic effects, not only polluting air, water, and soil, but also destroying the ecological environment and harming the environment through various means. Human life and health are not conducive to the protection of the ecological environment and the sustainable development...

AI Technical Summary

Problems solved by technology

However, the above-mentioned supervision method has the following shortcomings: (1) The hazardous waste transfer form mainly relies on the initiative of the producer to declare, and there may be insufficient understanding of the nature of the hazardous waste and the lack of awareness of the responsibility of the enterprise to handle the transfer form, resulting in some hazardous waste not being declared , free from the supervision system; (2) The hazardous waste transfer bill system involves multiple stakeholders such as waste production units, hazardous waste transport units, hazardous waste treatment units, etc., with a long chain of supervision and difficult supervision; (3) Hazardous waste is illegal Dumping behaviors are often highly concealed, resulting in the need for extensive investigations in the special rectification of illegal dumping of hazardous waste, which is costly and uncertain; (4) The supervision efficiency is low, resulting in most of the illegal dumping of hazardous waste being detected only after causing serious consequences. It is found that event-driven supervision has already caused serious environmental risks when it is discovered, and it is difficult to investigate sparsely populated areas by relying on event-driven supervision; (5) After determining the illegal dumping point, the relevant departments will Entrust qualified units to conduct investigations on hazardous waste materials, but due to the large range and wide area of ​​hazardous waste generating units involved, it is difficult to trace the source of illegally dumped hazardous waste

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