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How to link agricultural productivity, water availability and water demand in a risk context: a model for managing hydrological risks

机译:如何在风险背景下将农业生产率,水供应和需水量联系起来:水文风险管理模型

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The importance of water scarcity in irrigated agriculture in Spain provides the rationale for this paper, which analyses and evaluates the risk of water shortage on the economic result of this kind of agriculture. The main objective is to monitor this risk on a real-time basis. For this aim, we first estimated a number of regression models that explain irrigated agricultural productivity based on crop price indices, a time trend and water availability. These models, which correct for auto-correlation, yield good explanatory power. Second we carried out ex ante simulations of agricultural productivity using fitted distribution functions of water balance. The risk model framework provides the basis for a real time drought management system through a variety of distribution functions of expected economic results, which can be revised on a monthly basis before the beginning of the irrigation season. The results of the simulation show how this kind of risk model can be used to anticipate the effects of droughts and complement the hydrological models used to manage water storage in years of scarcity. Different risk profiles are identified. For example, in Genil-Cabra we found that the resilience of the system after a drought period is very high, whereas in La Plana de Castellón the risk of irrigation area abandonment is increasing year by year. In Genil-Cabra the estimated losses were 60 million euros in 2007. The models were applied to some of the most agriculturally relevant irrigation districts in Spain.
机译:西班牙缺水在灌溉农业中的重要性为本文提供了理论依据,该论文分析和评估了这种农业的经济成果造成的缺水风险。主要目标是实时监视此风险。为此,我们首先估算了许多回归模型,这些模型基于作物价格指数,时间趋势和水利用率来解释灌溉农业的生产力。这些校正了自相关的模型产生了良好的解释力。其次,我们使用拟合的水平衡分布函数对农业生产力进行事前模拟。风险模型框架通过各种预期经济结果的分布函数为实时干旱管理系统提供了基础,这些函数可以在灌溉季节开始之前每月进行修订。仿真结果表明,如何将这种风险模型用于预测干旱的影响并补充在稀缺年份中用于管理蓄水的水文模型。确定了不同的风险状况。例如,在Genil-Cabra,我们发现干旱期后系统的复原力非常高,而在La Plana deCastellón,灌溉面积被放弃的风险逐年增加。在Genil-Cabra,2007年的估计损失为6000万欧元。这些模型被应用于西班牙一些与农业最相关的灌溉区。

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