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首页> 外文期刊>Journal of Water Resources Planning and Management >Economic Analysis of Large-Scale Upstream River Basin Development on the Blue Nile in Ethiopia Considering Transient Conditions, Climate Variability, and Climate Change
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Economic Analysis of Large-Scale Upstream River Basin Development on the Blue Nile in Ethiopia Considering Transient Conditions, Climate Variability, and Climate Change

机译:考虑瞬态条件,气候变异性和气候变化的埃塞俄比亚青尼罗河上游大规模流域开发的经济分析

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The upper Blue Nile Basin in Ethiopia harbors considerable untapped potential for irrigation and large-scale hydropower development and expansion. Numerous water resources system models have been developed to evaluate these resources, yet often fail to adequately address critical aspects, including the transient (e.g., filling) stages of reservoirs, relevant streamflow retention policies and downstream consequences, construction staggering, and the implications of stochastic modeling of variable climate and climate change. This omission has clear economic impacts on benefits and costs and could be pivotal in national policy and decision making. The Investment Model for Planning Ethiopian Nile Development dynamic water resources system model is outlined and applied to address these aspects. For the hydropower and irrigation development projects specified, model results disregarding transient and construction stagger aspects demonstrate overestimations of $6 billion in benefits and 170% in downstream flows compared to model results accounting for these aspects. Benefit-cost ratios for models accounting for transient conditions and climate variability are found to range from 1.2-1.8 under historical climate regimes for the streamflow retention policies evaluated. Climate change scenarios, represented either by changes in the frequency of El Nino and La Nina events or by the Special Report on Emissions Scenarios projections, indicate potential for small benefit-cost increases, but also reflect the potential for noteworthy decreases, relative to the historical climate conditions. In particular, stochastic modeling of scenarios representing a doubling of the historical frequency of El Nino events indicates benefit-cost ratios as low as 1.0, even under perfect foresight optimization modeling, due to a lack of timely water. However, even at this ratio, Ethiopia, at current growth rates, may still be unable to absorb all the potential energy developed, reinforcing the need for significant economic planning and the necessity of securing energy trade contracts prior to extensive expansion.
机译:埃塞俄比亚的青尼罗河上游盆地具有相当大的尚未开发的潜力,可用于灌溉以及大规模的水电开发和扩张。已经开发了许多水资源系统模型来评估这些资源,但常常不能充分解决关键方面,包括水库的过渡(例如,充水)阶段,相关的流量保持策略和下游后果,施工错开以及随机影响气候变化和气候变化的模型。这种遗漏对收益和成本有明显的经济影响,并且可能在国家政策和决策中起关键作用。概述了埃塞俄比亚尼罗河发展规划投资模型动态水资源系统模型,并将其应用于解决这些问题。对于指定的水电和灌溉开发项目,与考虑这些方面的模型结果相比,不考虑瞬态和施工交错方面的模型结果表明,高估了60亿美元的收益和170%的下游流量。在历史气候制度下,对于评估的水流保持政策,考虑到瞬态条件和气候变化的模型的成本效益比被发现在1.2-1.8的范围内。气候变化情景以厄尔尼诺事件和拉尼娜事件的频率变化或排放情况特别报告的预测为代表,表明潜在的利益成本小幅增长,​​但也反映出相对于历史而言显着下降的可能性气候条件。特别是,代表厄尔尼诺事件历史频率翻倍的情景的随机建模表明,即使在完美的预见性优化建模下,由于缺乏及时的水资源,效益成本比也低至1.0。但是,即使以这样的比率,埃塞俄比亚,以目前的增长率,仍可能无法吸收所开发的所有潜在能源,这增加了对重大经济计划的需求以及在大规模扩张之前必须确保能源贸易合同的必要性。

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