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A coupled stochastic inverse-management framework for dealing with nonpoint agriculture pollution under groundwater parameter uncertainty

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A coupled stochastic inverse-management framework for dealing with nonpoint agriculture pollution under groundwater parameter uncertainty

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Llopis Albert, C.; Palacios Marqués, D.; Merigó, JM. (2014). A coupled stochastic inverse-management framework for dealing with nonpoint agriculture pollution under groundwater parameter uncertainty. Journal of Hydrology. 511:10-16. doi:10.1016/j.jhydrol.2014.01.021

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/60407

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Title: A coupled stochastic inverse-management framework for dealing with nonpoint agriculture pollution under groundwater parameter uncertainty
Author:
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny
Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Issued date:
Abstract:
In this paper a methodology for the stochastic management of groundwater quality problems is presented, which can be used to provide agricultural advisory services. A stochastic algorithm to solve the coupled flow and mass ...[+]
Subjects: Stochastic inversion , Gradual deformation , Non-Gaussian , Nitrate pollution , Fertilizer standards , Optimization
Copyrigths: Reserva de todos los derechos
Source:
Journal of Hydrology. (issn: 0022-1694 )
DOI: 10.1016/j.jhydrol.2014.01.021
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.jhydrol.2014.01.021
Type: Artículo

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