Lopez-Nicolas,A.Pulido-Velazquez, M.Macian-Sorribes, Hector2018-06-282018-06-2820170022-1694https://riunet.upv.es/handle/10251/104726[EN] In this paper, we present an innovative framework for an economic risk analysis of drought impacts on irrigated agriculture. It consists on the integration of three components: stochastic time series modelling for prediction of inflows and future reservoir storages at the beginning of the irrigation season; statistical regression for the evaluation of water deliveries based on projected inflows and storages; and econometric modelling for economic assessment of the production value of agriculture based on irrigation water deliveries and crop prices. Therefore, the effect of the price volatility can be isolated from the losses due to water scarcity in the assessment of the drought impacts. Monte Carlo simulations are applied to generate probability functions of inflows, which are translated into probabilities of storages, deliveries, and finally, production value of agriculture. The framework also allows the assessment of the value of mitigation measures as reduction of economic losses during droughts. The approach was applied to the Jucar river basin, a complex system affected by multiannual severe droughts, with irrigated agriculture as the main consumptive demand. Probability distributions of deliveries and production value were obtained for each irrigation season. In the majority of the irrigation districts, drought causes a significant economic impact. The increase of crop prices can partially offset the losses from the reduction of production due to water scarcity in some districts. Emergency wells contribute to mitigating the droughts' impacts on the Jucar river system. (C) 2017 Elsevier B.V. All rights reserved.Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)DroughtEconometric modelRiskStochastic modellingINGENIERIA HIDRAULICAArtículo10.1016/j.jhydrol.2017.05.004Abierto