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

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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. doi:10.1007/s00477-010-0371-6

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/61058

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Title: Monitoring and forecasting nitrate concentration in the groundwater using statistical process control and time series analysis: a case study
Author:
UPV Unit: Universitat Politècnica de València. Centro de Gestión de la Calidad y del Cambio - Centre de Gestió de la Qualitat i del Canvi
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
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 ...[+]
Subjects: ARIMA model , Environmental pollution , Groundwater , Nitrate , Statistical process control , Agricultural practices , ARIMA models , Autoregressive integrated moving average models , Contaminated water , Environmental objectives , Environmental performance , European community , European Union , Groundwater quality , Management tool , Monitoring tools , Nitrate concentration , Nitrate contamination , Pollution standards , Pumping well , Rapid response , Regulatory requirements , Statistical process , Water Framework Directives , Concentration (process) , Environmental management , Groundwater pollution , Nitrates , Pollution control , Quality control , Time series , Time series analysis , Water quality , Water resources , Agricultural practice , Concentration (composition) , Environmental monitoring , Forecasting method , Numerical model , Europe
Copyrigths: Cerrado
Source:
Stochastic Environmental Research and Risk Assessment. (issn: 1436-3240 )
DOI: 10.1007/s00477-010-0371-6
Publisher:
Springer Verlag
Publisher version: http://dx.doi.org/10.1007/s00477-010-0371-6
Thanks:
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 ...[+]
Type: Artículo

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