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Stochastic hydro-economic model for groundwater quality management using Bayesian networks.
Water Sci Technol. 2013; 67(3):579-86.WS

Abstract

A strong normative development in Europe, including the Nitrate Directive (1991) and the Water Framework Directive (WFD) (2000), has been promulgated. The WFD states that all water bodies have to reach a good quantitative and chemical status by 2015. It is necessary to consider different objectives, often in conflict, for tackling a suitable assessment of the impacts generated by water policies aimed to reduce nitrate pollution in groundwater. For that, an annual lumped probabilistic model based on Bayesian networks (BNs) has been designed for hydro-economic modelling of groundwater quality control under uncertain conditions. The information introduced in the BN model comes from different sources such as previous groundwater flow and mass transport simulations, hydro-economic models, stakeholders and expert opinion, etc. The methodology was applied to the El Salobral-Los Llanos aquifer unit within the 'Easter Mancha' groundwater body, which is one of the largest aquifers in Spain (7,400 km(2)), included in the Júcar River Basin. Over the past 30 years, socioeconomic development within the region has been mainly depending on intensive use of groundwater resources for irrigating crops. This has provoked a continuous groundwater level fall in the last two decades and significant streamflow depletion in the connected Júcar River. This BN model has proved to be a robust Decision Support System for helping water managers in the decision making process.

Authors+Show Affiliations

Department of Hydraulic Engineering, Salamanca University, High Polytechnic School of Engineering Avila, Av. de los Hornos Caleros, 50, 05003 Ávila, Spain. jlmolina@usal.esNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

23202563

Citation

Molina, José-Luis, et al. "Stochastic Hydro-economic Model for Groundwater Quality Management Using Bayesian Networks." Water Science and Technology : a Journal of the International Association On Water Pollution Research, vol. 67, no. 3, 2013, pp. 579-86.
Molina JL, Pulido-Velázquez M, Llopis-Albert C, et al. Stochastic hydro-economic model for groundwater quality management using Bayesian networks. Water Sci Technol. 2013;67(3):579-86.
Molina, J. L., Pulido-Velázquez, M., Llopis-Albert, C., & Peña-Haro, S. (2013). Stochastic hydro-economic model for groundwater quality management using Bayesian networks. Water Science and Technology : a Journal of the International Association On Water Pollution Research, 67(3), 579-86. https://doi.org/10.2166/wst.2012.598
Molina JL, et al. Stochastic Hydro-economic Model for Groundwater Quality Management Using Bayesian Networks. Water Sci Technol. 2013;67(3):579-86. PubMed PMID: 23202563.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Stochastic hydro-economic model for groundwater quality management using Bayesian networks. AU - Molina,José-Luis, AU - Pulido-Velázquez,Manuel, AU - Llopis-Albert,Carlos, AU - Peña-Haro,Salvador, PY - 2012/12/4/entrez PY - 2012/12/4/pubmed PY - 2013/3/19/medline SP - 579 EP - 86 JF - Water science and technology : a journal of the International Association on Water Pollution Research JO - Water Sci Technol VL - 67 IS - 3 N2 - A strong normative development in Europe, including the Nitrate Directive (1991) and the Water Framework Directive (WFD) (2000), has been promulgated. The WFD states that all water bodies have to reach a good quantitative and chemical status by 2015. It is necessary to consider different objectives, often in conflict, for tackling a suitable assessment of the impacts generated by water policies aimed to reduce nitrate pollution in groundwater. For that, an annual lumped probabilistic model based on Bayesian networks (BNs) has been designed for hydro-economic modelling of groundwater quality control under uncertain conditions. The information introduced in the BN model comes from different sources such as previous groundwater flow and mass transport simulations, hydro-economic models, stakeholders and expert opinion, etc. The methodology was applied to the El Salobral-Los Llanos aquifer unit within the 'Easter Mancha' groundwater body, which is one of the largest aquifers in Spain (7,400 km(2)), included in the Júcar River Basin. Over the past 30 years, socioeconomic development within the region has been mainly depending on intensive use of groundwater resources for irrigating crops. This has provoked a continuous groundwater level fall in the last two decades and significant streamflow depletion in the connected Júcar River. This BN model has proved to be a robust Decision Support System for helping water managers in the decision making process. SN - 0273-1223 UR - https://www.unboundmedicine.com/medline/citation/23202563/Stochastic_hydro_economic_model_for_groundwater_quality_management_using_Bayesian_networks_ L2 - https://iwaponline.com/wst/article-lookup/doi/10.2166/wst.2012.598 DB - PRIME DP - Unbound Medicine ER -