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Relative magnitudes of sources of uncertainty in assessing climate change impacts on water supply security for the southern Adelaide water supply system

机译:评估气候变化的不确定性来源的相对大小影响了阿德莱德南部供水系统的供水安全

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摘要

The sources of uncertainty in projecting the impacts of climate change on runoff are increasingly well recognized; however, translating these uncertainties to urban water security has received less attention in the literature. Furthermore, runoff cannot be used as a surrogate for water supply security when studying the impacts of climate change due to the nonlinear transformations in modeling water supply and the effects of additional uncertainties, such as demand. Consequently, this study presents a scenario-based sensitivity analysis to qualitatively rank the relative contributions of major sources of uncertainty in projecting the impacts of climate change on water supply security through time. This can then be used by water authorities to guide water planning and management decisions. The southern system of Adelaide, South Australia, is used to illustrate the methodology for which water supply system reliability is examined across six greenhouse gas (GHG) emissions scenarios, seven general circulation models, six demand projections, and 1000 stochastic rainfall time series. Results indicate the order of the relative contributions of uncertainty changes through time; however, demand is always the greatest source of uncertainty and GHG emissions scenarios the least. In general, reliability decreases over the planning horizon, illustrating the need for additional water sources or demand mitigation, while increasing uncertainty with time suggests flexible management is required to ensure future supply security with minimum regret.
机译:预测气候变化对径流影响的不确定性来源日益得到公认;然而,将这些不确定性转化为城市水安全的文献很少受到关注。此外,在研究气候变化的影响时,径流不能用作替代供水安全的方法,这是由于在建模供水过程中存在非线性转换以及其他不确定性(例如需求)的影响。因此,本研究提出了一种基于情景的敏感性分析,以定性地对主要不确定性来源的相对贡献进行排序,以预测气候变化对水供应安全的影响。然后,水务部门可以使用它来指导水规划和管理决策。南澳大利亚州阿德莱德的南部系统用于说明在六个温室气体(GHG)排放情景,七个一般循环模型,六个需求预测以及1000个随机降雨时间序列上检查供水系统可靠性的方法。结果表明不确定性随时间变化的相对贡献的顺序;然而,需求始终是不确定性的最大来源,而温室气体排放情景则最少。通常,可靠性在计划范围内下降,这表明需要更多的水源或缓解需求,而随着时间的推移不确定性增加,则需要灵活的管理以确保未来的供应安全,而后悔最小。

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    Paton F.; Maier H.; Dandy G.;

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  • 年度 2013
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  • 正文语种 en
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