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首页> 外文期刊>The Science of the Total Environment >A system dynamics model to quantify the impacts of restoration measures on the water-energy-food nexus in the Urmia lake Basin, Iran
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A system dynamics model to quantify the impacts of restoration measures on the water-energy-food nexus in the Urmia lake Basin, Iran

机译:一个系统动力学模型,用于量化恢复措施对伊朗乌尔米亚湖盆地水-能源-食物关系的影响

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摘要

Water scarcity exacerbated by growing demand in different sectors has created environmental, social, and economic challenges in the Urmia Lake Basin, Iran. Tackling this problem requires an integrated approach considering the basin as an interconnected system where a change in one sector affects others. Here, a System Dynamics Model is developed to simulate the water-energy-food nexus in the Urmia Lake Basin as a holistic multi-sectoral system and to assess the impacts of proposed lake restoration measures, especially looking for trade-offs. Besides considering climate change impacts, the effect of different sets of measures including increasing irrigation efficiency, increasing return flows, inter-basin water transfers, crop land retirement, and reviving a portion of the lake on the natural resources and socio-economic state of the basin are analysed. Results show that Urmia Lake level is sensitive to climate change scenarios. A holistic restoration approach could be effective in increasing the lake level to the proposed ecological level by 2040. However, in doing so, electricity demand in the agricultural sector could grow significantly. It is shown that a 20% retirement of irrigated wheat lands to curb water demand, if coupled with a 20% increase in yield on 80% and 50% of irrigated and rain-fed fields respectively, will not reduce wheat production in the basin. The effectiveness of water demand management measures is highly dependent on continuous monitoring and enforcement, particularly in restricting growth in agricultural water consumption. This study considered all nexus sectors in a holistic way to assess the total impact of proposed measures which on paper look positive, but may have unexpected consequences such as increasing energy demand for electric pumps. In dialogue with Urmia Lake restoration practitioners, this work can feed in to inform effective decisions for the restoration of Urmia Lake.
机译:不同部门需求的增长加剧了水资源短缺,给伊朗的Urmia湖盆地造成了环境,社会和经济挑战。解决这一问题需要采取综合方法,将流域视为一个相互联系的系统,一个部门的变化会影响其他部门。在这里,开发了一个系统动力学模型,以模拟作为一个整体的多部门系统的Urmia湖盆地中的水-能源-食物关系,并评估拟议的湖泊恢复措施的影响,尤其是在权衡取舍的情况下。除了考虑气候变化影响外,还采取了一系列不同措施,包括提高灌溉效率,增加回流,流域间调水,退耕还林以及恢复部分湖泊对自然资源和社会经济状况的影响。盆地进行了分析。结果表明,乌尔米亚湖水位对气候变化情景很敏感。整体恢复方法可能会有效地在2040年前将湖泊水位提高到建议的生态水平。但是,这样做的话,农业部门的电力需求可能会显着增长。结果表明,灌溉小麦土地的20%退役以遏制水需求,再加上灌溉和雨养农田的80%和50%分别增加20%的产量,都不会减少流域的小麦产量。用水需求管理措施的有效性在很大程度上取决于持续的监测和执行,特别是在限制农业用水增长方面。这项研究以整体的方式考虑了所有联系部门,以评估拟议措施的总体影响,这些措施在纸面上看起来是积极的,但可能会产生意想不到的后果,例如电动泵的能源需求增加。通过与Urmia Lake修复从业者对话,这项工作可以为有效的Urmia Lake修复决策提供依据。

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