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3 results on '"Logic Scoring of Preferences (LSP)"'

1. Assessment of groundwater vulnerability to nitrates from agricultural sources using a GIS-compatible logic multicriteria model.

Author

Rebolledo, Boris, Gil, Antonia, Flotats, Xavier, and Sánchez, José Ángel

Subjects
*GROUNDWATER & the environment, *GEOGRAPHIC information systems, *NITRATES, *ENVIRONMENTAL research, *FARM management, *HYDROGEOLOGICAL modeling
Abstract

In the present study an overlay method to assess groundwater vulnerability is proposed. This new method based on multicriteria decision analysis (MCDA) was developed and validated using an appropriate case study in Aragon area (NE Spain). The Vulnerability Index to Nitrates from Agricultural Sources (VINAS) incorporates a novel Logic Scoring of Preferences (LSP) approach, and it has been developed using public geographic information from the European Union. VINAS-LSP identifies areas with five categories of vulnerability, taking into account the hydrogeological and environmental characteristics of the territory as a whole. The resulting LSP map is a regional screening tool that can provide guidance on the potential risk of nitrate pollution, as well as highlight areas where specific research and farming planning policies are required. [ABSTRACT FROM AUTHOR]

Published
2016
Full Text
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2. Assessment of groundwater vulnerability to nitrates from agricultural sources using a GIS-compatible logic multicriteria model

Author

Universitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya. GREA - Grup de Recerca d'Enginyeria Agro-Ambiental, Rebolledo, Boris, Gil, Antonia, Flotats Ripoll, Xavier, Sánchez, José Ángel, Universitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya. GREA - Grup de Recerca d'Enginyeria Agro-Ambiental, Rebolledo, Boris, Gil, Antonia, Flotats Ripoll, Xavier, and Sánchez, José Ángel

Abstract

In the present study an overlay method to assess groundwater vulnerability is proposed. This new method based on multicriteria decision analysis (MCDA) was developed and validated using an appropriate case study in Aragon area (NE Spain). The Vulnerability Index to Nitrates from Agricultural Sources (VINAS) incorporates a novel Logic Scoring of Preferences (LSP) approach, and it has been developed using public geographic information from the European Union. VINAS-LSP identifies areas with five categories of vulnerability, taking into account the hydrogeological and environmental characteristics of the territory as a whole. The resulting LSP map is a regional screening tool that can provide guidance on the potential risk of nitrate pollution, as well as highlight areas where specific research and farming planning policies are required., In the present study an overlay method to assess groundwater vulnerability is proposed. This new method based on multicriteria decision analysis (MCDA) was developed and validated using an appropriate case study in Aragon area (NE Spain). The Vulnerability Index to Nitrates from Agricultural Sources (VINAS) incorporates a novel Logic Scoring of Preferences (LSP) approach, and it has been developed using public geographic information from the European Union. VINAS-LSP identifies areas with five categories of vulnerability, taking into account the hydrogeological and environmental characteristics of the territory as a whole. The resulting LSP map is a regional screening tool that can provide guidance on the potential risk of nitrate pollution, as well as highlight areas where specific research and farming planning policies are required., Postprint (published version)

Published
2016

3. Assessment of groundwater vulnerability to nitrates from agricultural sources using a GIS-compatible logic multicriteria model

Author

Boris Rebolledo, José Ángel Sánchez, Xavier Flotats, Antonia Gil, Universitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia, and Universitat Politècnica de Catalunya. GREA - Grup de Recerca d'Enginyeria Agro-Ambiental

Subjects
Environmental Engineering, Geographic information system, Vulnerability index, Logic, 0208 environmental biotechnology, Vulnerability, Nitrats -- Aspectes ambientals, 02 engineering and technology, Enginyeria agroalimentària [Àrees temàtiques de la UPC], 010501 environmental sciences, Management, Monitoring, Policy and Law, Logic Scoring of Preferences (LSP), 01 natural sciences, Nitrate pollution, Environmental protection, Risk mapping, media_common.cataloged_instance, European union, Desenvolupament humà i sostenible::Enginyeria ambiental::Tractament dels residus [Àrees temàtiques de la UPC], Groundwater, Waste Management and Disposal, Environmental planning, 0105 earth and related environmental sciences, media_common, Aragon (Spain), Nitrates, business.industry, Agriculture, General Medicine, Models, Theoretical, Multiple-criteria decision analysis, Groundwater vulnerability, 020801 environmental engineering, Nitrates--Environmental aspects, Spain, Geographic Information Systems, Environmental science, business, Water Pollutants, Chemical
Abstract

In the present study an overlay method to assess groundwater vulnerability is proposed. This new method based on multicriteria decision analysis (MCDA) was developed and validated using an appropriate case study in Aragon area (NE Spain). The Vulnerability Index to Nitrates from Agricultural Sources (VINAS) incorporates a novel Logic Scoring of Preferences (LSP) approach, and it has been developed using public geographic information from the European Union. VINAS-LSP identifies areas with five categories of vulnerability, taking into account the hydrogeological and environmental characteristics of the territory as a whole. The resulting LSP map is a regional screening tool that can provide guidance on the potential risk of nitrate pollution, as well as highlight areas where specific research and farming planning policies are required. In the present study an overlay method to assess groundwater vulnerability is proposed. This new method based on multicriteria decision analysis (MCDA) was developed and validated using an appropriate case study in Aragon area (NE Spain). The Vulnerability Index to Nitrates from Agricultural Sources (VINAS) incorporates a novel Logic Scoring of Preferences (LSP) approach, and it has been developed using public geographic information from the European Union. VINAS-LSP identifies areas with five categories of vulnerability, taking into account the hydrogeological and environmental characteristics of the territory as a whole. The resulting LSP map is a regional screening tool that can provide guidance on the potential risk of nitrate pollution, as well as highlight areas where specific research and farming planning policies are required.

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