禽畜废水紫外线消毒中悬浮固体占主导地位的尾效应:流行病控制的机理解析和建模预测

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Wenjing Bai , Jiaojiao Xu , Zhen-Hu Hu , Rui Tang , Xinmin Zhan
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引用次数: 0

摘要

在集约化畜牧业中暴发动物流行病期间,废水是人畜共患病原体的重要传播媒介,需要进行先进的消毒以减轻公共卫生危害。紫外(UV)消毒是废水处理中常用的一种方法,但在含悬浮固体(SS)的畜牧废水中,尾砂现象对其处理提出了重大挑战。SS粒度与尾矿动力学之间的机理关系尚不清楚。本研究通过实验-模拟相结合的方法,研究了不同粒径的SS对奶牛废水紫外线消毒过程中两种典型粪便指示菌(FIB)尾渣水平的影响。随着初始剂量的增加,失活效率逐渐提高,但当剂量超过513 mJ/cm²时,出现尾效应,残余FIB浓度为5.07-5.21 log10 CFU/L,其中肠球菌的尾效应高于总大肠菌群。尽管SS >;1000 μm占总固体的43.9%,但在SS <;200 μm上却有85%的FIB定植。这种优先关联与细胞外聚合物质(主要是多糖)在较小颗粒上的浓度较高有关。总大肠菌群的临界SS尺寸为337 μm,肠球菌的临界SS尺寸为233 μm,由于对紫外线消毒的双重抑制作用(1)通过紫外线吸收进行光学衰减,(2)包埋微生物的物理屏蔽,因此在尾尾水平上占主导地位。将经验SS -尾矿关系与积分原理相结合,建立了高SS废水消毒尾砂水平预测模型。模型具有较高的准确度(平均绝对误差 = 0.116,Nash-Sutcliffe效率 = 0.908)和精密度(标准差 = 0.134)。这些发现促进了对ss介导的尾矿现象的机理理解,并为动物养殖场发生动物疫病时废水的生物安全管理提供了可行的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Suspended solids dominated tailing effect in UV disinfection of livestock wastewater: Mechanistic deciphering and modelling prediction for epidemic control

Suspended solids dominated tailing effect in UV disinfection of livestock wastewater: Mechanistic deciphering and modelling prediction for epidemic control
During epizootic outbreaks in intensive livestock operations, wastewater serves as a critical transmission vector for zoonotic pathogens, necessitating advanced disinfection to mitigate public health hazards. Ultraviolet (UV) disinfection is commonly utilized in wastewater treatment, but the tailing phenomenon poses a significant challenge in suspended solids (SS)-enriched livestock wastewater. The mechanistic relationship between SS particle size and tailing dynamics remains poorly characterized. This study investigated the role of different-sized SS on the tailing levels of two typical fecal indicator bacteria (FIB) during UV disinfection of dairy wastewater through a combined experimental-modeling approach. Inactivation efficiency increased with initial increasing UV dose, but tailing effects emerged at UV dose beyond 513 mJ/cm², resulting in residual FIB concentrations of 5.07–5.21 log10 CFU/L with enterococci exhibiting higher tailing level than total coliforms. Despite SS >1000 μm accounting for 43.9% of total solids, >85% of FIB colonized on SS <200 μm. This preferential association was linked to higher concentrations of extracellular polymeric substances, predominantly polysaccharides, on smaller particles. The critical SS size was identified at 337 μm for total coliforms and 233 μm for enterococci, respectively, which dominated the tailing level due to dual inhibitory effects on UV disinfection: (1) optical attenuation through UV absorption, and (2) physical shielding of embedded microorganisms. A novel disinfection tailing level prediction model for wastewater with high SS was developed by combining empirical SS size-tailing relationships with the principle of integration. The model demonstrated high accuracy (mean absolute error = 0.116 and Nash-Sutcliffe efficiency = 0.908) and precision (standard deviation = 0.134). These findings advance mechanistic understanding of SS-mediated tailing phenomena and offer actionable insights for biosecurity management of wastewater during epizootic events of animal farms.
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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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