• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

考虑到氯气味和经济投资,使用机器学习和优化算法对供水管网和二次加氯点进行联合优化。

Joint majorization of waterworks and secondary chlorination points considering the chloric odor and economic investment in the DWDS using machine learning and optimization algorithms.

机构信息

College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, Zhejiang 310058, China.

College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, Zhejiang 310058, China.

出版信息

Water Res. 2022 Jul 15;220:118595. doi: 10.1016/j.watres.2022.118595. Epub 2022 May 18.

DOI:10.1016/j.watres.2022.118595
PMID:35613482
Abstract

The traditional methods of increasing the chlorine disinfectant dosage in the drinking water distribution system (DWDS) to control microorganisms and improve the safety of drinking water quality are subjected to several challenges. One noticeable problem is the unpleasant odor generated by chlorine and chloramines. However, the generally proposed chlorine dosage optimization model ignores the chloric odor distribution in the DWDS. This study proposes a comprehensive multi-parameter water quality model and aims to balance the trade-offs between: (i) minimize the flavor profile analysis (FPA) degree of the chloric odor produced by chlorine and chloramines in the DWDS, and (ii) minimize the economic investment (chlorine dosage and operation cost). EPANET and back propagation (BP) network integrated with the Borg algorithm were employed as innovative approaches to simulate the chlorine, chloramines, and chloric odor intensity in the DWDS. Moreover, the application of the multi-parameter model was demonstrated in a real-world DWDS case study. 0.5 mg-Cl/L (mg/L) chlorine at 8 secondary chlorination points was added to the DWDS as an optimized chlorine dosing scheme considering the olfactory and financial objective functions simultaneously. When switching to a superior water source, the FPA of the chloric odor in DWDS increased by a maximum of 1.4 at most if the initial chlorine dosage remained as before. To avoid the occurrence of chloric odor and also control the residual free chlorine (residual chlorine) at a suitable value, the initial and secondary chlorine dosages were optimized to 0.4 mg/L and 0.3 mg/L, respectively. Under this condition, the initial chlorine dosage was reduced by 50% compared to the original operation scheme in City J, China, the qualification rate of the residual chlorine reached 97.2%, basically consistent with that before water source switching, and the chloric odor intensity of the DWDS was controlled below FPA 3.4.

摘要

传统的增加饮用水分配系统(DWDS)中氯消毒剂剂量以控制微生物并提高饮用水水质安全性的方法面临着几个挑战。一个值得注意的问题是氯和氯胺产生的不愉快气味。然而,一般提出的氯剂量优化模型忽略了 DWDS 中的氯气味分布。本研究提出了一个全面的多参数水质模型,旨在平衡以下方面的权衡:(i)最小化 DWDS 中氯和氯胺产生的氯气味的风味剖面分析(FPA)程度,和(ii)最小化经济投资(氯剂量和运营成本)。EPANET 和与 Borg 算法集成的反向传播(BP)网络被用作模拟 DWDS 中氯、氯胺和氯气味强度的创新方法。此外,多参数模型的应用在实际 DWDS 案例研究中得到了验证。考虑到嗅觉和财务目标函数,在 8 个二级氯化点向 DWDS 中添加 0.5 mg-Cl/L(mg/L)的氯作为优化的氯投加方案。当切换到优质水源时,如果初始氯剂量保持不变,则 DWDS 中氯气味的 FPA 最多增加 1.4。为了避免氯气味的发生并将余氯控制在适当的值,优化了初始和二级氯剂量分别为 0.4 mg/L 和 0.3 mg/L。在这种情况下,与中国 J 市的原始运行方案相比,初始氯剂量减少了 50%,余氯合格率达到 97.2%,基本与水源切换前一致,DWDS 的氯气味强度控制在 FPA 3.4 以下。

相似文献

1
Joint majorization of waterworks and secondary chlorination points considering the chloric odor and economic investment in the DWDS using machine learning and optimization algorithms.考虑到氯气味和经济投资,使用机器学习和优化算法对供水管网和二次加氯点进行联合优化。
Water Res. 2022 Jul 15;220:118595. doi: 10.1016/j.watres.2022.118595. Epub 2022 May 18.
2
Factors affecting the water odor caused by chloramines during drinking water disinfection.影响饮用水消毒过程中氯胺引起异味的因素。
Sci Total Environ. 2018 Oct 15;639:687-694. doi: 10.1016/j.scitotenv.2018.05.188. Epub 2018 May 26.
3
Optimization of disinfectant dosage for simultaneous control of lead and disinfection-byproducts in water distribution networks.优化消毒剂剂量以同时控制给水管网中的铅和消毒副产物。
J Environ Manage. 2020 Dec 15;276:111186. doi: 10.1016/j.jenvman.2020.111186. Epub 2020 Sep 6.
4
It's getting hot in here: Effects of heat on temperature, disinfection, and opportunistic pathogens in drinking water distribution systems.这里越来越热了:热对饮用水分配系统中温度、消毒和机会性病原体的影响。
Water Res. 2024 Aug 15;260:121913. doi: 10.1016/j.watres.2024.121913. Epub 2024 Jun 9.
5
Composition of active bacterial communities and presence of opportunistic pathogens in disinfected and non-disinfected drinking water distribution systems in Finland.芬兰消毒和未消毒饮用水分配系统中活性细菌群落的组成和机会性病原体的存在。
Water Res. 2024 Jan 1;248:120858. doi: 10.1016/j.watres.2023.120858. Epub 2023 Nov 11.
6
Effect of sequential UV/free chlorine disinfection on opportunistic pathogens and microbial community structure in simulated drinking water distribution systems.序批式 UV/游离氯消毒对模拟饮用水分配系统中机会性病原体和微生物群落结构的影响。
Chemosphere. 2019 Mar;219:971-980. doi: 10.1016/j.chemosphere.2018.12.067. Epub 2018 Dec 11.
7
Optimizing booster chlorination in water distribution networks: a water quality index approach.优化给水中加氯消毒:水质指标法。
Environ Monit Assess. 2013 Oct;185(10):8035-50. doi: 10.1007/s10661-013-3153-z. Epub 2013 Mar 27.
8
Microbial community dynamics of an urban drinking water distribution system subjected to phases of chloramination and chlorination treatments.城市饮用水分配系统在氯胺化和氯化处理阶段的微生物群落动态。
Appl Environ Microbiol. 2012 Nov;78(22):7856-65. doi: 10.1128/AEM.01892-12. Epub 2012 Aug 31.
9
Optimal design and operation of booster chlorination stations layout in water distribution systems.最优设计和操作的加氯泵站布局在配水系统中。
Water Res. 2014 Jul 1;58:209-20. doi: 10.1016/j.watres.2014.03.070. Epub 2014 Apr 12.
10
An ignored and potential source of taste and odor (T&O) issues-biofilms in drinking water distribution system (DWDS).饮用水分配系统(DWDS)中被忽视的味觉和嗅觉(T&O)问题潜在来源——生物膜。
Appl Microbiol Biotechnol. 2017 May;101(9):3537-3550. doi: 10.1007/s00253-017-8223-7. Epub 2017 Mar 31.