Investigation of the performance and accuracy of multivariate time series models in predicting electrical conductivity and total dissolved solid values of the rivers of Urmia lake basin

Considering the complexity of hydrological processes, it seems that multivariate methods may enhance the accuracy of time series models and the results obtained from them by taking more influential factors into account. Indeed, the results of multivariate models can improve the results of description, modeling, and prediction of different parameters by involving other influential factors.