Inverse Determination Of Emission Rates Of Multiple Gaseous Pollution Sources In Aircraft Cabin

When gaseous pollutants are dispersed in the aircraft cabin,fast and accurate information about the pollution sources is important to take appropriate measures to control the pollution incidents in the aircraft cabin.Current methods for the inverse problem have been able to locate single or multiple pollution sources based on pollutant concentration information from monitoring point sensors,but a fast and accurate method for the inverse determination of release rates from multiple sources is still missing.In this paper,we develop a model for inverse determination of pollutant release rates based on pollutant concentrations from monitoring point sensors in a stable heat flow field with known locations of multiple gaseous pollutants in the cabin of an aircraft.The pollutant distribution in the cabin is influenced by the heat flow field,pollutant source location and release rate.In a stable thermal flow field,if the location of the contaminant source is fixed,the release rate of multiple gaseous sources and the contaminant concentration from the monitoring point sensors form a linear system and follow the mass conservation equation.When the source release rate is known to determine the pollutant concentration at the monitoring point sensor,this mass conservation equation is stable;conversely,if the source release rate is to be determined based on the pollutant concentration at the monitoring point sensor,the equation is a sick equation with no numerical stability.In this paper,the Tikhonov regularization method is used to enhance the stability of the inverse solution.In order to improve the efficiency of the inverse determination of multiple pollutant release rates,the source contribution factor method is introduced to obtain the causal transport matrix between the pollutant release rate and the concentration at the monitoring point,as well as the computational fluid dynamics numerical simulation to calculate the causal transport matrix,so as to propose a matrix-based inverse multiple gaseous pollutant release rate The inverse determination model is proposed.In order to verify the feasibility of the inverse determination model,a three-dimensional cavity experimental bench with CO₂ as the tracer gas was used to study the release rates of multiple sources simultaneously,and the inverse determination model was applied to an aircraft cabin environment.The results show that the release rates of multiple pollutants obtained by the inverse determination model in the three-dimensional cavity test bench are basically consistent with the actual release rates of pollutants,indicating that the inverse determination model of multiple pollutant release rates constructed in this paper has good accuracy and calculation precision.The inverse determination model was applied to the aircraft cabin environment,and the release rates of multiple pollutants were also calculated more accurately within the error range.The inverse determination model was validated in a simple three-dimensional cavity test bench and a complex three-dimensional aircraft cabin,indicating that the inverse determination model for multiple pollutant release rates is feasible.