• 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

基于污水 HRT 变化的满流混凝土污水管道中硫化物生成的模拟。

Modeling sulfide production in full flow concrete sewers based on the HRT variation of sewerage.

机构信息

Low-Carbon Water Environment Technology Research Center, School of Environment & Natural Resources, Renmin University of China, Beijing 100872, China E-mail:

出版信息

Water Sci Technol. 2021 May;83(9):2063-2074. doi: 10.2166/wst.2021.111.

DOI:10.2166/wst.2021.111
PMID:33989176
Abstract

The corrosion and odor in concrete sewers are mainly related to the sulfide production, which is, under certain circumstances, directly proportional to the hydraulic retention time (HRT) of the sewer. To reduce the corrosion and control the odor in concrete sewers, it is necessary to model the production of sulfide in the concrete sewers with different HRTs. However, previous researches were mostly carried out in simulated Perspex-made sewers, and the obtained theoretical formulas based on the Monod equation were impractical because of the complexity. An actual concrete pipe with domestic sewage was employed in this study to obtain a simple but practical model, which can be applied to quantitively describe the sulfide production according to the HRT of the sewer and the chemical oxygen demand (COD) of the sewage. The empirical equation obtained was r = (0.045 × lnHRT + 0.071) × ([COD] - b), the coefficient is a logarithmic function of the HRT, and the sulfide production rate and COD have a power relationship. Based on the data of COD and HRT obtained in the realistic sewer, the production of sulfide in the sewer can be predicted for better maintaining sewers through sulfide control.

摘要

混凝土污水管道的腐蚀和异味主要与硫化物的产生有关,而硫化物的产生在某些情况下与污水管道的水力停留时间(HRT)成正比。为了减少腐蚀并控制混凝土污水管道中的异味,有必要针对不同 HRT 下的混凝土污水管道中的硫化物生成情况进行建模。然而,之前的研究大多是在模拟的有机玻璃制污水管道中进行的,并且基于 Monod 方程得出的理论公式由于过于复杂而不切实际。本研究采用实际的混凝土污水管,以获得一个简单但实用的模型,可以根据污水管道的 HRT 和污水的化学需氧量(COD)来定量描述硫化物的生成情况。得到的经验方程为 r = (0.045 × lnHRT + 0.071) × ([COD] - b),其中系数是 HRT 的对数函数,硫化物生成速率与 COD 呈幂函数关系。基于实际污水管中获得的 COD 和 HRT 数据,可以预测污水管中的硫化物生成情况,从而通过硫化物控制更好地维护污水管。

相似文献

1
Modeling sulfide production in full flow concrete sewers based on the HRT variation of sewerage.基于污水 HRT 变化的满流混凝土污水管道中硫化物生成的模拟。
Water Sci Technol. 2021 May;83(9):2063-2074. doi: 10.2166/wst.2021.111.
2
Influence of pipe material and surfaces on sulfide related odor and corrosion in sewers.管道材料和表面对下水道中与硫化物相关的气味和腐蚀的影响。
Water Res. 2008 Sep;42(15):4206-14. doi: 10.1016/j.watres.2008.07.013. Epub 2008 Jul 17.
3
The rapid chemically induced corrosion of concrete sewers at high HS concentration.高浓度 HS 下混凝土污水管道的快速化学腐蚀。
Water Res. 2019 Oct 1;162:95-104. doi: 10.1016/j.watres.2019.06.062. Epub 2019 Jun 24.
4
Impact of fluctuations in gaseous H2S concentrations on sulfide uptake by sewer concrete: The effect of high H2S loads.气态 H2S 浓度波动对污水管道混凝土中硫化物吸收的影响:高 H2S 负荷的影响。
Water Res. 2015 Sep 15;81:84-91. doi: 10.1016/j.watres.2015.05.044. Epub 2015 May 23.
5
Experimental and modelling evaluations of sulfide formation in a mega-sized deep tunnel sewer system and implications for sewer management.大型深层隧道污水系统中硫化物形成的实验与模拟评价及其对污水管理的启示。
Environ Int. 2019 Oct;131:105011. doi: 10.1016/j.envint.2019.105011. Epub 2019 Jul 30.
6
Systematic evaluation of a dynamic sewer process model for prediction of odor formation and mitigation in large-scale pressurized sewers in Hong Kong.系统评价用于预测香港大型加压污水管道中臭味形成和缓解的动态污水过程模型。
Water Res. 2019 May 1;154:94-103. doi: 10.1016/j.watres.2019.01.033. Epub 2019 Feb 1.
7
A different approach for predicting H(2)S((g)) emission rates in gravity sewers.一种预测重力下水道中H₂S(g)排放速率的不同方法。
Water Res. 2006 Jan;40(2):259-66. doi: 10.1016/j.watres.2005.10.026. Epub 2005 Dec 15.
8
Hydrogen sulfide emission in sewer networks: a two-phase modeling approach to the sulfur cycle.污水管网中的硫化氢排放:硫循环的两相建模方法
Water Sci Technol. 2004;50(4):161-8.
9
Release of hydrogen sulfide under intermittent flow conditions - the potential of simulation models.间歇流动条件下硫化氢的释放——模拟模型的潜力
Water Sci Technol. 2018 Feb;77(3-4):777-787. doi: 10.2166/wst.2017.595.
10
Predicting concrete corrosion of sewers using artificial neural network.使用人工神经网络预测下水道混凝土腐蚀情况。
Water Res. 2016 Apr 1;92:52-60. doi: 10.1016/j.watres.2016.01.029. Epub 2016 Jan 21.