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Optimization of disinfectant dosage for simultaneous control of lead and disinfection-byproducts in water distribution networks

机译:优化消毒剂量,同时控制水分配网络中的铅和消毒副产品

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摘要

Drinking water utilities are increasingly facing the challenges of maintaining water quality, and simultaneously complying with conflicting regulatory standards. One such challenge is the dosage of chlorine-based disinfectants which is typically regulated to prevent microbial growth in the water distribution systems, while limiting disinfection by-products (DBPs). On the other hand, chlorine residuals also influence the dissolution of lead into drinking water from corrosion scales in the pipe internals, as has been shown by previous studies. Hence, it is important to consider water lead levels (WLLs) while determining the appropriate chlorine dosage. This study proposes a multi-objective optimization framework to understand and balance the trade-offs between (ⅰ) minimizing total disinfectant dosage to reduce DBPs formation potential, and (ⅱ) maximizing the volume of safe drinking water supply with respect to both WLLs and residual free chlorine concentrations. The approach comprises of the development of a dynamic simulation-optimization framework to account for the impact of spatial and temporal variations of network hydraulics and water chemistry on WLLs and residual free chlorine. The framework couples dynamic multi-species water quality simulations (pH, residual free chlorine, dissolved inorganic carbon, and orthophosphate concentration) with a multi-objective genetic optimization algorithm in an integrated MATLAB-EPANET-MSX platform. The application of the optimization formulation is demonstrated on a real-world distribution network case study. The resulting optimal solution set on pareto-plots are discussed for sensitivity of the trade-offs between the two objective functions, under various water chemistry conditions that have been suggested in earlier studies for minimizing lead release from plattnerite (PbO_2) corrosion scales in lead service lines. The resulting optimal disinfectant dosage schedule, for pumping and booster station nodes in each case, provided insights on maintaining disinfectant residuals throughout the distribution system so as to prevent microbial growth as well as lead contamination events while limiting DBPs formation. Further, environmental implications related to the use of the proposed framework are also discussed.
机译:饮用水公用事业越来越多地面临维持水质的挑战,同时遵守冲突的监管标准。一种这样的挑战是通常调节氯基消毒剂的剂量,以防止水分配系统中的微生物生长,同时限制副产物(DBPS)。另一方面,氯残留物也会影响铅对管内部内部腐蚀鳞片的饮用水的溶解,如先前的研究所示。因此,重要的是要考虑水铅水平(Wlls),同时确定合适的氯剂量。本研究提出了一种多目标优化框架来理解和平衡(Ⅰ)之间的权衡最小化,以最大限度地减少DBPS形成电位,并最大限度地提高WLLS和残留的安全饮用水量的体积。(Ⅱ)自由氯浓度。该方法包括开发动态仿真优化框架,以考虑网络液压和水化学的空间和时间变化对Wlls和残留的自由氯的影响。该框架在集成的Matlab-EPANET-MSX平台中耦合在集成Matlab-EPANET-MSX平台中的多目标遗传优化算法的动态多种水质模拟(pH,残余氯,溶解的无机碳和正磷酸盐浓度)。在真实世界的分销网络案例研究中证明了优化制剂的应用。在普通图上设置的由此产生的最佳解决方案进行了探讨,用于在早期研究中提出的各种水化学条件下,在铅服务中从Plattnern(PbO_2)腐蚀尺度的早期研究中提出的各种水化学条件下进行了折扣的敏感性线条。对于在每种情况下,得到的最佳消毒剂量表,用于泵送和增压站节点,提供了在整个分配系统中保持消毒剂残留物的见解,以防止微生物生长以及限制DBPS形成的同时进行微生物生长和铅污染事件。此外,还讨论了与使用所提出的框架的环境影响。

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