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Monitoring and forecasting nitrate concentration in the groundwater using statistical process control and time series analysis: a case study

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dc.contributor.author García-Díaz, J. Carlos es_ES
dc.date.accessioned 2016-02-22T12:28:47Z
dc.date.available 2016-02-22T12:28:47Z
dc.date.issued 2011-03
dc.identifier.issn 1436-3240
dc.identifier.uri http://hdl.handle.net/10251/61058
dc.description.abstract Contaminated water resources have important implications on health and the environment. Nitrate contamination of the groundwater is a serious problem in the European Union. A method based on the statistical process control (SPC) and time series analysis is developed to monitoring and to predict the concentration evolution of nitrate (NO 3 -) in groundwater. In many pumping wells the NO 3 -concentration ([NO 3 -]) increases and approaches or even passes the European Community standard of 50 mg l -1. 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 autoregressive integrated moving average (ARIMA) model as a management tool to monitoring and reduction of the intrusion of nitrate into the groundwater. This tool should help in setting up useful guidelines for evaluating actual environmental performance against the firm's 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 concentrations. In doing so, the paper fills an important gap in the water pollution standards and emerging polices (Water Framework directives). © 2010 Springer-Verlag. es_ES
dc.description.sponsorship The author is grateful to the anonymous referees and the editor for several constructive comments that have improved this paper. The author acknowledge the financial support of Programa de Apoyo a la Investigacion y Desarrollo (PAID-06-08) of the Universidad Politecnica de Valencia. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag es_ES
dc.relation.ispartof Stochastic Environmental Research and Risk Assessment es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject ARIMA model es_ES
dc.subject Environmental pollution es_ES
dc.subject Groundwater es_ES
dc.subject Nitrate es_ES
dc.subject Statistical process control es_ES
dc.subject Agricultural practices es_ES
dc.subject ARIMA models es_ES
dc.subject Autoregressive integrated moving average models es_ES
dc.subject Contaminated water es_ES
dc.subject Environmental objectives es_ES
dc.subject Environmental performance es_ES
dc.subject European community es_ES
dc.subject European Union es_ES
dc.subject Groundwater quality es_ES
dc.subject Management tool es_ES
dc.subject Monitoring tools es_ES
dc.subject Nitrate concentration es_ES
dc.subject Nitrate contamination es_ES
dc.subject Pollution standards es_ES
dc.subject Pumping well es_ES
dc.subject Rapid response es_ES
dc.subject Regulatory requirements es_ES
dc.subject Statistical process es_ES
dc.subject Water Framework Directives es_ES
dc.subject Concentration (process) es_ES
dc.subject Environmental management es_ES
dc.subject Groundwater pollution es_ES
dc.subject Nitrates es_ES
dc.subject Pollution control es_ES
dc.subject Quality control es_ES
dc.subject Time series es_ES
dc.subject Time series analysis es_ES
dc.subject Water quality es_ES
dc.subject Water resources es_ES
dc.subject Agricultural practice es_ES
dc.subject Concentration (composition) es_ES
dc.subject Environmental monitoring es_ES
dc.subject Forecasting method es_ES
dc.subject Numerical model es_ES
dc.subject Europe es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title Monitoring and forecasting nitrate concentration in the groundwater using statistical process control and time series analysis: a case study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s00477-010-0371-6
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-08/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Gestión de la Calidad y del Cambio - Centre de Gestió de la Qualitat i del Canvi es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation García-Díaz, JC. (2011). Monitoring and forecasting nitrate concentration in the groundwater using statistical process control and time series analysis: a case study. Stochastic Environmental Research and Risk Assessment. 25(3):331-339. https://doi.org/10.1007/s00477-010-0371-6 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s00477-010-0371-6 es_ES
dc.description.upvformatpinicio 331 es_ES
dc.description.upvformatpfin 339 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 25 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 202144 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
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