A method based on the statistical process control (SPC) and time series analysis (ARIMA model) is developed to monitoring and to predict the con- centration distribution of nitrate in groundwater. In many pumping wells the -concentration increases and approaches or even passes the European Commu- nity standard of 50 mg . The objective of this paper is to show the application of statistical process control as a monitoring tool for groundwater pollution from agricultural practices. We propose the ARIMA model as a management tool to monitoring and reduction of the intrusion of nitrate into the groundwa- ter. This tool should help in setting up useful guidelines for evaluating actual environmental performance against the ¯rm^aÄA^os environmental objectives and targets and regulatory requirements. We concluded that the statistical process control method may be a potentially important way of monitoring groundwater quality that also permits rapid response to serious increases in pollutants con- centrations. In doing so, the paper ¯lls an important gap in the water pollution standards and emerging polices (Water Framework directives).