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首页> 外文期刊>Journal of Hydroinformatics >A bottom-up approach of stochastic demand allocation in a hydraulic network model: a sensitivity study of model parameters
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A bottom-up approach of stochastic demand allocation in a hydraulic network model: a sensitivity study of model parameters

机译：水力网络模型中随机需求分配的自下而上方法：模型参数的敏感性研究

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An ‘‘all pipes’’ hydraulic model of a drinking water distribution system was constructed with anbottom-up approach of demand allocation. This means that each individual home is representednby one demand node with its own stochastic water demand pattern. These water demandnpatterns were constructed with the end-use model SIMDEUM. A sensitivity test with respect tonthe resulting residence times was performed for several model parameters: time step, spatialnaggregation, spatial correlation, demand pattern and number of simulation runs. The bottom-upnapproach of demand allocation was also compared to the conventional top-down approach,ni.e. a single demand multiplier pattern is allocated to all demand nodes with the basendemand to account for the average water demand on that node. The models were comparednto measured flows and residence times in a small network. The study showed that thenbottom-up approach leads to realistic water demand patterns and residence times, withoutnthe need for any flow measurements. The stochastic approach of hydraulic modelling,nwith a 15 minute time step, some spatial aggregation and 10 simulation runs, gives insightninto the variability of residence times as an added feature beyond the conventional waynof modelling.
机译：使用自下而上的需求分配方法构建了饮用水分配系统的“所有管道”液压模型。这意味着每个家庭由一个具有自己的随机需水模式的需求节点表示。这些用水模式是使用最终使用模型SIMDEUM构建的。针对几个模型参数进行了关于最终停留时间的敏感性测试：时间步长，空间聚集，空间相关性，需求模式和模拟运行次数。需求分配的自下而上的方法也与传统的自上而下的方法进行了比较。将单个需求乘数模式分配给具有基数的所有需求节点，以说明该节点上的平均需水量。将模型进行比较，以测量流量和在小型网络中的停留时间。研究表明，自下而上的方法可以实现现实的用水需求模式和停留时间，而无需进行任何流量测量。水力建模的随机方法（无需15分钟的时间步长，一些空间聚集和10次模拟运行）可提供滞留时间可变性的见解，这是传统建模方法之外的附加功能。

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