Application of Multivariate Receptor Models in Identification, Quantification, and Management of Common Pollutant Sources in Various Environmental Sectors

Identification and allocation of various pollutant sources are crucial tools for effective prevention, control of pollution, and management of different environmental sectors. In this regard, methods used for determining, allocating, and managing pollutant emission sources in the environment can be categorized into source identification and quantitative source allocation methods. Source identification methods have limitations, including the inability to process missing data and detect values below the detection limit commonly observed in environmental data. Additionally, these methods cannot quantitatively determine the contribution of natural and human sources of pollutants. Conversely, the second type of methods is capable of quantitatively identifying and determining the share of pollutant sources, among which receptor models are particularly notable. In terms of source allocation, receptor models are mathematical computational approaches that can identify and quantify the contribution of sources based on the chemical and physical characteristics of pollutants in sources and receptors. Given the practical importance of receptor models in quantifying the contribution of various pollutant sources in the environment, the aim of this study is to introduce and compare different types of receptor models for determining pollutant emission sources in the environment. The study also highlights recent research in this area. Therefore, by presenting these models, the current research can serve as a guide and a valuable resource for the identification and quantitative determination of various pollutant sources in the environment, consequently providing a basis for environmental management and improvement.

کلیدواژه ها:

Environmental Pollutants ، Source Allocation ، Receptor Models ، Pollution Resource Management