Control of sulfides in gravity sewer pipelines using coated sustained-release granules: Efficiency and mechanisms.

IF 12.8 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Water Research Pub Date : 2026-10-15 Epub Date: 2026-07-19 DOI:10.1016/j.watres.2026.126533
Tao Huang, Jieyubing Zhang, Yutong Liu, Linjun Li, Yujie Ren, Jinsuo Lu, Zhiqiang Zhang
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Abstract

To address the challenges in sewer systems where continuous wastewater flow renders conventional iron salt dosing ineffective for long-term control, and where iron salts cause a sharp pH decline and structural weakening of pipelines, this study developed a coated sustained-release ferrous chloride granule (PMDI‑Fe2+). Under long‑term operation of laboratory‑scale reactors, the results showed that at a PMDI‑Fe2+ dosage of 0.045 % (w/v), the half‑maximal recovery time (RT50) of the sulfide production rate was 9 days; at a flow velocity of 0.6 m/s, iron ions were sustainably released for 45 hours. The granules control sulfide through a dual biological and chemical mechanism: on the one hand, they elevate the oxidation‑reduction potential and zeta potential of the wastewater, disrupt biofilm structure, and reduce both the diversity of sulfur‑metabolizing microorganisms and the expression of key genes; on the other hand, they directly remove sulfide via chemical precipitation. The sustained‑release characteristic of PMDI‑Fe2+ avoids a sharp pH drop (the pH decreased from 6.29 to 6.03 after treatment), which is favorable for sulfide precipitation. After treatment, the soluble carbon-to-nitrogen (C/N) and carbon-to-phosphorus (C/P) ratios in the wastewater increased significantly, which may alleviate the operational burden on downstream treatment plants. At a dosage of 0.045 % (w/v), the cost of sulfide control was 1.50 yuan/kg‑S. This study validates the practical potential of coated sustained‑release granules for sulfide control in sewers.

使用涂层缓释颗粒控制重力下水道管道中的硫化物:效率和机制。
为了解决下水道系统中的挑战,在这些系统中,连续的废水流使传统的铁盐剂量无法长期控制,并且铁盐会导致pH值急剧下降和管道结构弱化,本研究开发了一种涂层缓释氯化亚铁颗粒(PMDI‑Fe2+)。在实验室规模反应器的长期运行条件下,PMDI - Fe2+投加量为0.045 % (w/v)时,硫化物产率的半最大恢复时间(RT50)为9天;在0.6 m/s流速下,铁离子持续释放45 小时。颗粒通过生物和化学双重机制控制硫化物:一方面,它们提高了废水的氧化还原电位和zeta电位,破坏了生物膜结构,降低了硫代谢微生物的多样性和关键基因的表达;另一方面,它们通过化学沉淀法直接去除硫化物。PMDI - Fe2+的缓释特性避免了pH值的急剧下降(处理后pH值从6.29下降到6.03),有利于硫化物的沉淀。处理后,废水中可溶性碳氮比(C/N)和碳磷比(C/P)显著升高,可能减轻下游处理厂的运营负担。在添加量为0.045 % (w/v)时,硫化物控制成本为1.50 元/kg‑S。该研究验证了涂层缓释颗粒在下水道硫化物控制中的实际潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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