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A New Model-Based Approach for the Evaluation of the Net Contribution of the European Union Rural Development Program to the Reduction of Water Abstractions in Agriculture

Author

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  • Konstantinos X. Soulis

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece)

  • Emmanouil Psomiadis

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece)

  • Paraskevi Londra

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece)

  • Dimitris Skuras

    (Department of Economics, University of Patras, 26504 Patra, Greece)

Abstract

Agriculture is an essential driving force in water resources management and has a central role in the European Union’s Rural Development Programme (RDP). In this study, the solution developed addresses countries characterised by relatively small farms, vast spatial and temporal variability and severe data scarcity. The proposed model-based approach is directly relevant to the evaluation of agricultural policies affecting water abstraction based on multisource data. The evaluation process utilises an entirely spatially distributed, continuous hydrological model. The model provides a gridded output of the main hydrological balance components, as well as vegetation water deficit and irrigation water requirements, on a daily temporal step on a country scale. It provides information at the farm level and facilitates the estimation of water abstractions in agriculture, taking into consideration all the pertinent information included in the Integrated Administration and Control System database that is maintained by RDPs in Europe. Remote sensing data also are used to validate crop patterns. The obtained results were analysed to estimate the net effect of the RDP to the reduction of water abstractions in agriculture. This work produces valuable information concerning the evaluation of agricultural policies and the assessment of land use, and climate change adaptation and mitigation strategies.

Suggested Citation

  • Konstantinos X. Soulis & Emmanouil Psomiadis & Paraskevi Londra & Dimitris Skuras, 2020. "A New Model-Based Approach for the Evaluation of the Net Contribution of the European Union Rural Development Program to the Reduction of Water Abstractions in Agriculture," Sustainability, MDPI, vol. 12(17), pages 1-25, September.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:7137-:d:407323
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    References listed on IDEAS

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    3. Konstantinos Soulis & John Valiantzas, 2013. "Identification of the SCS-CN Parameter Spatial Distribution Using Rainfall-Runoff Data in Heterogeneous Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(6), pages 1737-1749, April.
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    7. Soulis, Konstantinos X. & Manolakos, Dimitris & Anagnostopoulos, John & Papantonis, Dimitris, 2016. "Development of a geo-information system embedding a spatially distributed hydrological model for the preliminary assessment of the hydropower potential of historical hydro sites in poorly gauged areas," Renewable Energy, Elsevier, vol. 92(C), pages 222-232.
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    9. Maria Espinosa & Demetrios Psaltopoulos & Fabien Santini & Euan Phimister & Deborah Roberts & Sebastien Mary & Tomas Ratinger & Dimitris Skuras & Eudokia Balamou & Manuel A. Cardenete & Sergio Gomez y, 2014. "Ex-Ante Analysis of the Regional Impacts of the Common Agricultural Policy: A Rural-Urban Recursive Dynamic CGE Model Approach," European Planning Studies, Taylor & Francis Journals, vol. 22(7), pages 1342-1367, July.
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    1. Soulis, Konstantinos X. & Manolakos, Dimitris & Ntavou, Erika & Kosmadakis, George, 2022. "A geospatial analysis approach for the operational assessment of solar ORC systems. Case study: Performance evaluation of a two-stage solar ORC engine in Greece," Renewable Energy, Elsevier, vol. 181(C), pages 116-128.

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