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Integrated management of water resources demand and supply in irrigated agriculture from plot to regional scale

机译:从情节到区域规模的灌溉农业水资源需求和供应的综合管理

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Growing water scarcity in agriculture is an increasing problem in future in many regions of the world. Recent trends of weather extremes in Saxony, Germany also enhance drought risks for agricultural production. In addition, signals of longer and more intense drought conditions during the vegetation period can be found in future regional climate scenarios for Saxony. However, those climate predictions are associated with high uncertainty and therefore, e.g. stochastic methods are required to analyze the impact of changing climate patterns on future crop water requirements and water availability. For assessing irrigation as a measure to increase agricultural water security a generalized stochastic approach for a spatial distributed estimation of future irrigation water demand is proposed, which ensures safe yields and a high water productivity at the same time. The developed concept of stochastic crop water production functions (SCWPF) can serve as a central decision support tool for both, (i) a cost benefit analysis of farm irrigation modernization on a local scale and (ii) a regional water demand management using a multi-scale approach for modeling and implementation. The new approach is applied using the example of a case study in Saxony, which is dealing with the sustainable management of future irrigation water demands and its implementation.
机译:农业的日益增长的水资源稀缺是世界许多地区未来的日益增长的问题。德国萨克森州的最新趋势,德国也加强了农业生产的干旱风险。此外,在植被期间,在萨克森的未来区域气候情景中可以找到较长寿命期间的较长和更强烈的干旱条件的信号。然而,那些气候预测与高不确定性有关,因此,例如,需要随机方法来分析改变气候模式对未来作物水需求和水可用性的影响。为了评估灌溉作为提高农业水分安全的措施,提出了对未来灌溉需水需求的空间分布估计的广义随机方法,这确保了同时安全产量和高水生产率。随机作物水资源生产功能(SCWPF)的开发概念可以作为兼任的中心决策支持工具,(i)局部规模的农业灌溉现代化成本效益分析和(ii)使用多项的区域水需求管理。 - 建模和实施的探讨方法。新方法采用萨克森案例研究的例子申请,该案例研究正在处理未来灌溉需求的可持续管理及其实施。

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