Abstract: The fugacity model based on the fugacity method is not only applicable to predicting the concentration levels of emerging pollutants in various environmental media, but also can reveal the spatial distribution characteristics of pollution within a region. It is an important tool in the management of emerging pollutants. We summarizes and analyzes the development history and classification of fugacity model, divide the common fugacity models according to different regional scales, and discuss their current research and applications. We also discuss the advantages and disadvantages of the models and propose the improvement directions. The results indicate that the fugacity model has good applicability in simulating the fate of emerging pollutants. Its application scope is broad, covering the multi-media fate of emerging pollutants from lakes and rivers to regional and global scales. Different versions of models have been developed to simulate emerging pollutant concentration, long-term residence, and long-distance migration, with relatively reliable predictive results that provide dependable decision support for risk assessment and management of emerging pollutants. The problems of current fugacity models include high dependence of output on reliability of input data, insufficient consideration of dynamic changes of environmental conditions, excessive dependence of performance verification on monitoring data and large uncertainty caused by physical and chemical properties of emerging pollutants. In the future, it is necessary to improve the accuracy of pollutant emission parameters, optimize the model parameters and structure, improve the reliability of the model by improving the relevant quality assurance data, and improve the model performance by coupling or combining the models.