本powerpoint演示文稿首先介绍研究目标，包括以下内容:开发一个动态模型来预测 分配系统余氯； 优化余氯分配系统； 最小化配电系统TTHM水平；和 节省化学品成本。简要概述了拉斯维加斯山谷水区（LVVWD）的供水和分配系统，以及分布式再氯化系统，以及系统面临的挑战，包括以下方面:复杂的分布式氯化；各种对流、扩散和 分销系统中的混合 网络和 复杂的氯反应 不同的材料、化学品和 存款。方法包括: 利用监控和数据采集（SCADA）信息和实验室 信息管理系统（LIMS）数据；分组反应简化氯模型 常数；通过现场试验校准氯模型 结合遗传算法（GA） 优化；和 继续模型校准会计 操作更改或系统扩展。潜在的好处包括: 提高对水质的认识 复杂水分布的变化 系统 确保有足够的余氯 在整个系统中； 通过优化 氯剂量；此外，通过跟踪和分析，将TTHM增长降至最低 通过 日常运作。包括数字。

This powerpoint presentation begins by presenting study objectives that include the following: develop a dynamic model to predict distribution system chlorine residual; optimize distribution system chlorine residual; minimize distribution system TTHM level; and, save chemical costs. A brief overview of the Las Vegas Valley Water District (LVVWD) supply and distribution system, and distributed rechlorination system is presented, along with system challenges that include the following: complex distributed chlorination; various convection, dispersion and blending in the distribution system network; and, complicated chlorine reaction with different materials, chemicals and deposits. Approach methodology included the following: utilize supervisory control and data acquisition (SCADA) information and Laboratory Information Management System (LIMS) data; simplify chlorine model by grouping reaction constants; calibrate chlorine model using field tests coupled with a Genetic Algorithm (GA) optimization; and, continue model calibration accounting operation changes or system expansion. Potential benefits include: improved understanding of water quality variations in a complex water distribution system; ensured adequate residual chlorine throughout the system; saved chemical costs by optimizing chlorine dose; and, minimized TTHM growth by tracking and reducing bulk chlorine demand through daily operations. Includes figures.