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Development of Probabilistic Water Demand Forecast for the Tampa Bay Region: AReview of Methodological Features

机译:坦帕湾地区概率需水量预测的发展:方法学特征的回顾

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In order to develop a better understanding of increases in demand and its implications onwater supply development options, the Tampa Bay Water Authority commissioned thedevelopment of a long-term forecast of water demands. The forecasting effort uses a high-levelof spatial disaggregation and explicitly incorporates uncertainties in long-term growthprojections. The probabilistic model is derived from a recently developed GIS tool constructed atthe traffic analysis zone (TAZ) level, providing reliable and precise estimates of water demandrelationships for prominent user sectors. This approach produces a range of possible futurewater demands, including estimates of the chance of exceeding certain levels of demand over theforecast horizon.
机译:为了更好地了解需求增长及其对需求的影响 坦帕湾水务局委托水供应开发方案 制定长期的用水需求预测。预测工作需要高层次的 空间分解,并在长期增长中明确纳入不确定性 预测。概率模型来自于最近开发的GIS工具,该工具构建于 交通分析区(TAZ)级别,提供可靠而精确的需水量估算 与重要用户部门的关系。这种方法产生了一系列可能的未来 需水量,包括对超过一定水平的需求的估计 预测范围。

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