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Volume 12, issue 8 | Copyright

Special issue: Weather-related hazards and risks in agriculture

Nat. Hazards Earth Syst. Sci., 12, 2529-2543, 2012
https://doi.org/10.5194/nhess-12-2529-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 13 Aug 2012

Research article | 13 Aug 2012

Continuous multi-criteria methods for crop and soil conservation planning on La Colacha (Río Cuarto, Province of Córdoba, Argentina)

J. M. Antón1, J. B. Grau1, J. M. Cisneros2, F. V. Laguna3, P. L. Aguado1, J. J. Cantero2, D. Andina4, and E. Sánchez1 J. M. Antón et al.
  • 1E.T.S. de Ing. Agrónomos, U.P.M., Av. Complutense 3, Madrid 28040, Spain
  • 2Facultad de Ing. Agronomía y Veterinaria, U.N. de Río Cuarto, Pr. de Córdoba, Argentina
  • 3E.T.S. de Ing. de Caminos, Canales y Puertos, U.P.M., Ciudad Universitaria, 28040 Madrid, Spain
  • 4E.T.S. de Ing. de Telecomunicaciones, U.P.M., Ciudad Universitaria, 28040 Madrid, Spain

Abstract. Agro-areas of Arroyos Menores (La Colacha) west and south of Río Cuarto (Prov. of Córdoba, Argentina) basins are very fertile but have high soil loses. Extreme rain events, inundations and other severe erosions forming gullies demand urgently actions in this area to avoid soil degradation and erosion supporting good levels of agro production. The authors first improved hydrologic data on La Colacha, evaluated the systems of soil uses and actions that could be recommended considering the relevant aspects of the study area and applied decision support systems (DSS) with mathematic tools for planning of defences and uses of soils in these areas. These were conducted here using multi-criteria models, in multi-criteria decision making (MCDM); first of discrete MCDM to chose among global types of use of soils, and then of continuous MCDM to evaluate and optimize combined actions, including repartition of soil use and the necessary levels of works for soil conservation and for hydraulic management to conserve against erosion these basins. Relatively global solutions for La Colacha area have been defined and were optimised by Linear Programming in Goal Programming forms that are presented as Weighted or Lexicographic Goal Programming and as Compromise Programming. The decision methods used are described, indicating algorithms used, and examples for some representative scenarios on La Colacha area are given.

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