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Stochastic hydro-economic modeling for optimal management of agricultural groundwater nitrate pollution under hydraulic conductivity uncertainty

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Stochastic hydro-economic modeling for optimal management of agricultural groundwater nitrate pollution under hydraulic conductivity uncertainty

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Peña Haro, S.; Pulido-Velazquez, M.; Llopis Albert, C. (2011). Stochastic hydro-economic modeling for optimal management of agricultural groundwater nitrate pollution under hydraulic conductivity uncertainty. Environmental Modelling and Software. 26(8):999-1008. doi:10.1016/j.envsoft.2011.02.010

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/47135

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Title: Stochastic hydro-economic modeling for optimal management of agricultural groundwater nitrate pollution under hydraulic conductivity uncertainty
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny
Issued date:
Abstract:
[EN] In decision-making processes, reliability and risk aversion play a decisive role. This paper presents a framework for stochastic optimization of control strategies for groundwater nitrate pollution from agriculture ...[+]
Subjects: Fertilizer allocation , Groundwater , Nitrates , Optimization , Stochastic management model , Uncertainty , Agricultural productions , Agriculture pollution , Control strategies , Decision making process , Deterministic analysis , Diffuse pollution , Economic modeling , Fertilizer use , Groundwater quality , High probability , Illustrative examples , Management strategies , Mass transport , Maximum permissible concentration , Maximum values , Mixed-integer , Monte Carlo optimization , Monte Carlo Simulation , Nitrate concentration , Nitrate pollution , Nitrogen reduction , Numerical simulation , Optimal management , Physical parameters , Pollutant concentration , Reliability level , Response matrices , Risk aversion , Spatial allocation , Stochastic formulation , Stochastic management , Stochastic optimizations , Worst case , Agriculture , Computer simulation , Decision making , Fertilizers , Groundwater flow , Hydraulic conductivity , Monte Carlo methods , Nonlinear programming , Pollution control , Probability distributions , Quality assurance , Reliability , Sensitivity analysis , Standards , Stochastic models , Stochastic systems , Uncertainty analysis , Water quality , Groundwater pollution , Agricultural practice , Fertilizer application , Mass transfer , Monte Carlo analysis , Nitrate , Stochasticity
Copyrigths: Reserva de todos los derechos
Source:
Environmental Modelling and Software. (issn: 1364-8152 )
DOI: 10.1016/j.envsoft.2011.02.010
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.envsoft.2011.02.010
Project ID: info:eu-repo/grantAgreement/EC/FP7/226536
Thanks:
The study has been partially supported by the European Community 7th Framework Project GENESIS (226536) on groundwater systems and from the Plan Nacional I+D+I 2008-2011 of the Spanish Ministry of Science and Innovation ...[+]
Type: Artículo

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