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Small Catchment Agricultural Management Using Decision Variables Defined at Catchment Scale and a Fuzzy Rule-Based System: A Mediterranean Vineyard Case Study

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  • François Colin
  • Serge Guillaume
  • Bruno Tisseyre

Abstract

Physically based hydrological models are increasingly used to simulate the impact of land use changes on water and mass transfers. The problems associated with this type of parameter-rich model from a water management perspective are related to the need for (1) a large number of local parameters instead of only a few catchment-scale decision variables and (2) the technical skills and computational expertise necessary to perform these models. This study aimed to show that it is possible to define a reduced number of decision variables and rules to synthesise numerical simulations carried out through a physically based model. The MHYDAS model was run on a Mediterranean vineyard catchment located in southern France (Roujan, Herault) for an actual, common rainfall event to calculate the runoff coefficient. The simulation results concerned 3,000 samples of contrasted scenarios. The scenarios were characterised by four catchment-scale decision variables related to agricultural practices: the proportion of the area of non agricultural land, the proportion of the area subjected to full chemical weeding practices (with the complement being mechanical weeding), the spatial arrangement of the practices based on the distance to the outlet and the initial soil moisture content. The simulation results were used to generate fuzzy linguistic rules to predict the runoff coefficient, as computed by the physical model from the decision variables. For a common end of spring rainfall event, simulations showed that the runoff coefficient was most heavily influenced by the initial soil moisture and the proportion of the area of full chemical weeding practices and the proportion of the area of other land uses and their spatial arrangement also played a role. The fuzzy rule-based model was able to reproduce the hydrological output with good accuracy (R 2 = 0.97). Sensitivity analysis to the rainfall magnitude showed that if the amount of rainfall was the key factor explaining the runoff coefficient absolute values, the structure of the rule base remained stable for rainfall events close to the one studied. Copyright Springer Science+Business Media B.V. 2011

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  • François Colin & Serge Guillaume & Bruno Tisseyre, 2011. "Small Catchment Agricultural Management Using Decision Variables Defined at Catchment Scale and a Fuzzy Rule-Based System: A Mediterranean Vineyard Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(11), pages 2649-2668, September.
    • Handle: RePEc:spr:waterr:v:25:y:2011:i:11:p:2649-2668
    DOI: 10.1007/s11269-011-9831-0
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    References listed on IDEAS

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    1. Tiemeyer, Bärbel & Moussa, Roger & Lennartz, Bernd & Voltz, Marc, 2007. "MHYDAS-DRAIN: A spatially distributed model for small, artificially drained lowland catchments," Ecological Modelling, Elsevier, vol. 209(1), pages 2-20.
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    4. Anne Biarnes & Francois Colin, 2006. "Methodology to assess the hydrological impact of weed control practices with a view to management of Mediterranean winegrowing catchments," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 9(2), pages 161-179.
    5. M. Akbari & A. Afshar & M. Sadrabadi, 2009. "Fuzzy Rule Based Models Modification by New Data: Application to Flood Flow Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2491-2504, September.
    6. David Moreno-Mateos & Ülo Mander & César Pedrocchi, 2010. "Optimal Location of Created and Restored Wetlands in Mediterranean Agricultural Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(11), pages 2485-2499, September.
    7. K. Rao & D. Kumar, 2004. "Spatial Decision Support System for Watershed Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(5), pages 407-423, October.
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    Cited by:

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    2. Gokmen Tayfur & Ata Nadiri & Asghar Moghaddam, 2014. "Supervised Intelligent Committee Machine Method for Hydraulic Conductivity Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 1173-1184, March.

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