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Review of applications for SIMDEUM, a stochastic drinking water demand model with a small temporal and spatial scale

机译:审查SIMDEUM的应用程序,SIMDEUM是一种时空尺度较小的随机饮用水需求模型

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Many researchers have developed drinking water demand models with various temporal and spatial scales. A limited number of models is available at a temporal scale of 1a?ˉs and a spatial scale of a single home. The reasons for building these models were described in the papers in which the models were introduced, along with a discussion on their potential applications. However, the predicted applications are seldom re-examined. SIMDEUM, a stochastic end-use model for drinking water demand, has often been applied in research and practice since it was developed. We are therefore re-examining its applications in this paper. SIMDEUM's original purpose was to calculate maximum demands in order to design self-cleaning networks. Yet, the model has been useful in many more applications. This paper gives an overview of the many fields of application for SIMDEUM and shows where this type of demand model is indispensable and where it has limited practical value. This overview also leads to an understanding of the requirements for demand models in various applications.
机译:许多研究人员开发了具有不同时空尺度的饮用水需求模型。在1a?s的时间尺度和单个房屋的空间尺度上可用的模型数量有限。在介绍这些模型的论文中描述了构建这些模型的原因,并讨论了它们的潜在应用。但是,很少重新检查预测的应用程序。自从开发以来,SIMDEUM是一种用于饮用水需求的随机最终用途模型,经常被用于研究和实践中。因此,我们将在本文中重新检查其应用。 SIMDEUM的最初目的是计算最大需求,以设计自清洁网络。但是,该模型在更多应用中很有用。本文概述了SIMDEUM的许多应用领域,并说明了这种需求模型在哪些地方是必不可少的,以及在哪些地方其实际价值有限。此概述还可以帮助您理解各种应用程序中对需求模型的需求。

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