Kefeng Zhang, Lihao Yuan, Ana Deletic, Veljko Prodanovic
{"title":"Fate of wastewater trace organic chemicals in vegetated biofiltration systems","authors":"Kefeng Zhang, Lihao Yuan, Ana Deletic, Veljko Prodanovic","doi":"10.1016/j.watres.2024.122953","DOIUrl":null,"url":null,"abstract":"Vegetated biofiltration system (VBS) is an effective green technology for urban stormwater and greywater treatment. However, VBS is yet to be optimised for effective treatment of wastewater, particularly if it contains trace organic chemicals (TrOCs). The effect of plant species has not been addressed under TrOC wastewater loading. This study tested and evaluated the effectiveness of VBS over a one-year period in removing six TrOCs commonly found in wastewater, namely Caffeine (CAF), Paracetamol (PCM), Sulfamethoxazole (SMX), N diethyl-meta-toluamide (DEET), Bisphenol A (BPA) and Ibuprofen (IBU). Eleven VBS configurations were tested in a year-long laboratory column study to explore the role of seven different plant species (with differing characteristic), varied soil media depths, and soil characteristics, on the fate of TrOCs in the systems. The effect of different operational conditions (<em>e.g.,</em> dosing volume and regime) on removal efficiency was investigated. The results indicated VBS was able to maintain a high removal rate (>95%) of CAF, BPA, and IBU throughout the experiment, followed by PCM (>79%), SMX (50%-80%), and DEET (<12%). Plant species significantly impacted the removal of SMX and DEET (<em>p<0.05</em>), with <em>C. indica</em> as the best performer. Reducing hydraulic loading rate and decreasing daily dosing volume and frequency contributed positively to the PCM, SMX, and DEET removal rates. Noticeable accumulations of SMX, DEET, and BPA (8.2, 43.1, and 54.5 ng·g-1, respectively) were detected in the filter media, particularly within the saturated zone. Higher chemical concentrations (<em>i.e.,</em> CAF and DEET) were found in plant root tissue than in plant shoot tissue. This study offers valuable insights into VBS's design and operational aspects for removing TrOCs.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"12 1","pages":""},"PeriodicalIF":11.4000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.watres.2024.122953","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
Vegetated biofiltration system (VBS) is an effective green technology for urban stormwater and greywater treatment. However, VBS is yet to be optimised for effective treatment of wastewater, particularly if it contains trace organic chemicals (TrOCs). The effect of plant species has not been addressed under TrOC wastewater loading. This study tested and evaluated the effectiveness of VBS over a one-year period in removing six TrOCs commonly found in wastewater, namely Caffeine (CAF), Paracetamol (PCM), Sulfamethoxazole (SMX), N diethyl-meta-toluamide (DEET), Bisphenol A (BPA) and Ibuprofen (IBU). Eleven VBS configurations were tested in a year-long laboratory column study to explore the role of seven different plant species (with differing characteristic), varied soil media depths, and soil characteristics, on the fate of TrOCs in the systems. The effect of different operational conditions (e.g., dosing volume and regime) on removal efficiency was investigated. The results indicated VBS was able to maintain a high removal rate (>95%) of CAF, BPA, and IBU throughout the experiment, followed by PCM (>79%), SMX (50%-80%), and DEET (<12%). Plant species significantly impacted the removal of SMX and DEET (p<0.05), with C. indica as the best performer. Reducing hydraulic loading rate and decreasing daily dosing volume and frequency contributed positively to the PCM, SMX, and DEET removal rates. Noticeable accumulations of SMX, DEET, and BPA (8.2, 43.1, and 54.5 ng·g-1, respectively) were detected in the filter media, particularly within the saturated zone. Higher chemical concentrations (i.e., CAF and DEET) were found in plant root tissue than in plant shoot tissue. This study offers valuable insights into VBS's design and operational aspects for removing TrOCs.
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.