Civil and Environmental Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel.
Civil and Environmental Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel.
Water Res. 2022 Jul 1;219:118527. doi: 10.1016/j.watres.2022.118527. Epub 2022 Apr 30.
The complexity of modeling water quality variations in water distribution systems (WDS), studied for decades, stems from multiple constraints and variables involved and the complexity of the system behavior. The conventional macroscale-based WDS water quality models are founded on continuum mechanics. In attempts to provide a broad picture of the multi-species interactions, these models overlook the stochasticity corresponding to the reaction mechanisms within the WDS domain. Furthermore, owing to the black-box type modeling adopted in simulating the multi-species interactions, the existing state-of-the-art models have limitations in representing intermediates and/or by-products formation. Accordingly, they remain ineffective in describing the water chemistry-stoichiometric interactions within the WDS domain. Only a radically new modeling approach could overcome the limitations of the macroscale-based approaches and enables analyzing the stochastic WDS mechanisms by keeping the true nature of the system behavior. Stimulated by the metabolic network modeling principles in systems biology, this article outlines the prospect of developing an innovative 'water'bolic network modeling approach to provide a new outlook to the existing WDS water quality modeling research.
建模水质变化在供水管网系统（WDS）的复杂性，研究了几十年，源于多个约束和变量，并在系统行为的复杂性。传统的基于宏观的 WDS 水质模型是建立在连续介质力学的基础上。为了提供一个多物种相互作用的广阔画面，这些模型忽略了对应于 WDS 域内反应机制的随机性。此外，由于采用黑盒类型建模来模拟多物种相互作用，现有的最先进的模型在表示中间体和/或副产物形成方面存在局限性。因此，它们在描述 WDS 域内的水化学计量相互作用方面仍然无效。只有一种全新的建模方法才能克服基于宏观的方法的局限性，并通过保持系统行为的真实性质来分析随机 WDS 机制。受系统生物学中代谢网络建模原理的启发，本文概述了开发创新的“水”玻尔网络建模方法的前景，为现有的 WDS 水质建模研究提供了新的视角。
