Intelligent Method for Chemical Emission Source Identification

Metal oxide semiconductor sensor is one kind of most widely used methods to detect gases or volatile organic components (VOCs) due to its low cost and high sensitivity. Animals and humans can recognize the trace smell with olfactory system, where the olfactory organ cells feel the gases or VOCs in the smell environment and then the brain neuron system can react to the certain smell and analyze the information about it according to the experiences. Carbon capture, utilization, and storage network is an effective way to reduce stationary Carbon dioxide emissions and their adverse environmental impacts with low costs. The problem of parameters estimation for emission source term is an inverse problem. The optimization method utilizes the measurement results and a forward dispersion model to obtain simulation results, which maximally match the measurement information. The chapter discusses different intelligent methods for recognizing the emission sources including abnormal signals, component, and source term.