Monitoring environmental risk by a methodology based on control charts

We propose amethodology based on control charts when the contaminant concentration follows a Birnbaum-Saunders distribution, which is implemented in the R software.We investigate the performance of this methodology through Monte Carlo simulations. An example with real-world data is given as an illustration of the proposed methodology.