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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology
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Volume 364
Proc. IAHS, 364, 285–291, 2014
https://doi.org/10.5194/piahs-364-285-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Proc. IAHS, 364, 285–291, 2014
https://doi.org/10.5194/piahs-364-285-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  16 Sep 2014

16 Sep 2014

Assessing risks for integrated water resource management: coping with uncertainty and the human factor

M. J. Polo1, C. Aguilar1, A. Millares2, J. Herrero2, R. Gómez-Beas1, E. Contreras1, and M. A. Losada2 M. J. Polo et al.
  • 1Andalusian Institute of Earth System Research, University of Cordoba. Campus de Rabanales, Edif. Leonardo da Vinci, 14071, Córdoba, Spain
  • 2Andalusian Institute of Earth System Research, University of Granada. Edif. CEAMA, Avda. del Mediterráneo s/n, 18006, Granada, Spain

Keywords: Risk, uncertainty, call-effect, water resource planning

Abstract. Risk assessment for water resource planning must deal with the uncertainty associated with excess/scarcity situations and their costs. The projected actions for increasing water security usually involve an indirect "call-effect": the territory occupation/water use is increased following the achieved protection. In this work, flood and water demand in a mountainous semi-arid watershed in southern Spain are assessed by means of the stochastic simulation of extremes, when this human factor is/is not considered. The results show how not including this call-effect induced an underestimation of flood risk after protecting the floodplain of between 35 and 78 % in a 35-year planning horizon. Similarly, the pursued water availability of a new reservoir resulted in a 10-year scarcity risk increase up to 38 % when the trend of expanding the irrigated area was included in the simulations. These results highlight the need for including this interaction in the decision-making assessment.

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