Feng-Jiao Peng , Xing-Jun Feng , Sen Li , Xiao-Long Yu , Jun Chen , Shuang-Shuang Liu , Guang-Guo Ying , You-Sheng Liu
{"title":"Removal of emerging organic contaminants in a subsurface wastewater infiltration system: A preliminary study of microbial mechanism","authors":"Feng-Jiao Peng , Xing-Jun Feng , Sen Li , Xiao-Long Yu , Jun Chen , Shuang-Shuang Liu , Guang-Guo Ying , You-Sheng Liu","doi":"10.1016/j.watres.2025.123960","DOIUrl":null,"url":null,"abstract":"<div><div>Subsurface wastewater infiltration systems (SWISs) have been widely used for rural decentralized wastewater treatment, but their performance in removing emerging organic contaminants (EOCs) from wastewater remains unclear. We investigated EOC removal and related microbial mechanism in an intermittently aerated SWIS operated at a hydraulic loading rate of 0.5 m<sup>3</sup>/m<sup>2</sup>/day under field conditions. Among the 89 analyzed EOCs covering a wide range of different physicochemical properties, seven biocides, five antibiotics, two other pharmaceutics and three herbicides were detected in the real domestic wastewater fed into the system, with concentrations ranging from 7.80 ng/L for lincomycin to 14809 ng/L for bentazone. All detected EOCs were effectively removed in the SWIS with removal efficiencies ≥ 74.5%, except that diethyltoluamide and sulfamonomethoxine were moderately removed (31.9% and 58.8%, respectively). Meanwhile, removal efficiencies ≥ 81.1% were observed for conventional pollutants, including chemical oxygen demand, total organic carbon and ammonium. The pollutant removal was mainly attributed to microbial degradation due to lack of plants, photodegradation and sorption of most detected compounds in the system. This was corroborated by the abundance of microbial communities in the SWIS substrate and their positive correlations with pollutant removal rates, such as Proteobacteria, Planctomycetes and Bacteroidetes at the phylum level and <em>Ottowia, Defluviicoccus, Bradyrhizobium, Thiobacillus, Rudaea, Methylocystis, Reyranella, Parvibaculum</em> and <em>Parasegetibacter</em> at the genus level. Therefore, this work supports SWIS as a promising technology for treating decentralized domestic wastewater containing EOCs in addition to conventional pollutants, and underscores the pivotal role of microorganisms in pollutant removal in SWISs.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"284 ","pages":"Article 123960"},"PeriodicalIF":11.4000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0043135425008681","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Subsurface wastewater infiltration systems (SWISs) have been widely used for rural decentralized wastewater treatment, but their performance in removing emerging organic contaminants (EOCs) from wastewater remains unclear. We investigated EOC removal and related microbial mechanism in an intermittently aerated SWIS operated at a hydraulic loading rate of 0.5 m3/m2/day under field conditions. Among the 89 analyzed EOCs covering a wide range of different physicochemical properties, seven biocides, five antibiotics, two other pharmaceutics and three herbicides were detected in the real domestic wastewater fed into the system, with concentrations ranging from 7.80 ng/L for lincomycin to 14809 ng/L for bentazone. All detected EOCs were effectively removed in the SWIS with removal efficiencies ≥ 74.5%, except that diethyltoluamide and sulfamonomethoxine were moderately removed (31.9% and 58.8%, respectively). Meanwhile, removal efficiencies ≥ 81.1% were observed for conventional pollutants, including chemical oxygen demand, total organic carbon and ammonium. The pollutant removal was mainly attributed to microbial degradation due to lack of plants, photodegradation and sorption of most detected compounds in the system. This was corroborated by the abundance of microbial communities in the SWIS substrate and their positive correlations with pollutant removal rates, such as Proteobacteria, Planctomycetes and Bacteroidetes at the phylum level and Ottowia, Defluviicoccus, Bradyrhizobium, Thiobacillus, Rudaea, Methylocystis, Reyranella, Parvibaculum and Parasegetibacter at the genus level. Therefore, this work supports SWIS as a promising technology for treating decentralized domestic wastewater containing EOCs in addition to conventional pollutants, and underscores the pivotal role of microorganisms in pollutant removal in SWISs.
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.