Inverse Identification Of Pollutant Sources Under The Conditions Of Physical Settlement And Chemical Reaction

Industrial and human activities are very intensive in industrial parks.The frequent occurrence of air pollution events in industrial parks poses a certain threat to air quality,ecological environment and even the health of residents.However,air pollution events in industrial parks are sudden and complex,and usually do not last for a long time,so the timeliness of air quality detection data is in a relatively important position.Therefore,in the event of air pollution incidents,whether information such as the location and intensity of pollution sources can be quickly identified based on the measured data of pollutants is of great significance for the control and management of air pollution and the improvement of air quality.Sources identification through pollutant monitoring data can help reduce the threat of contamination and can be used as the basic input data for diffusion models to predict subsequent transport and diffusion.In reality,most of the pollution sources in industrial parks are dust or chemical pollutants.These pollutants have special phenomena such as particle settlement and chemical reaction,which will affect the diffusion concentration data of the pollutants and the accuracy of the reverse sources identification results.And this needs to be considered when performing reverse calculations.Existing research has proved the feasibility of identifying multiple outdoor pollution sources,the efficiency of simplifying the solution process,and the superiority compared with traditional trial-and-error methods of adjoint probability method in the process of reverse source identification.Based on the FLUENT simulation platform and previous research,in view of the presence of particulate pollutants and chemical reaction component pollutants,this paper establishes a reverse sources identification model.At the same time,this paper proposes the sources identification steps and strategies of dust and chemical composition pollutant at the scale of industrial park,and uses examples to verify the feasibility of the model proposed in this paper.This paper mainly includes the following research contents:(1)The Euler-Euler method and the three-layer semi-empirical boundary condition were used to establish the outdoor distribution and deposition model of particles,and the inverse problem modeling was carried out by combining the calculation strategy of adjoint probability method.The accuracy of the model was verified by the experimental data calculation examples.A reverse sources identification method for particles is proposed.The effect of the model is illustrated by two models.The method of pollution source location is expounded through simulation calculation,and the accuracy of the method is proved.(2)Using the chemical reaction rate constant to rewrite the source term of the scalar equation to simulate the chemical reaction of pollutants in the atmosphere.Two methods are used for inverse problem modeling: direct inverse method and marker element inverse analysis method.The three-dimensional factory model was used to verify the reverse sources identification method of chemical reaction components,and the effective effect of the method is proved.(3)The coupling model of particle settlement and component chemical reaction was established.The 3D accurate model of real industrial park is used to prove the feasibility of the coupling model in real industrial park,which expands the application scenarios of this study.(4)By comparing the adjoint probability method for reverse sources identification with the common source analytic method,the advantages,limitations and application scope of the method described in this paper are further expounded.