| Literature DB >> 33065414 |
Pei Song1, Guohe Huang2, Chunjiang An3, Xiaying Xin4, Peng Zhang5, Xiujuan Chen5, Shan Ren1, Ziqing Xu6, Xiaohan Yang6.
Abstract
Sulfamethoxazole (SMX) is the most widely distributed sulfonamide antibiotics detected in decentralized poultry wastewater in rural communities. As an economically-feasible and eco-friendly technology for decentralized wastewater treatment in rural areas, vertical-flow multi-soil-layering (MSL) system was promising to mitigate the ecological and human health risks from SMX in such areas. The treatment of SMX-contained poultry wastewater by using MSL systems was investigated for the first time, and the main and interactive effects of related multiple variables on system performance were explored through factorial analysis, including material of permeable layer, concentration of SMX, and pH of influent. Results indicated that SMX concentration and pH of influent showed significantly negative effects on SMX removal. Medical stone used in MSL systems with larger surface area could intensify the SMX removal compared to anthracite. MSL systems showed stable performances on SMX removal with the best SMX removal efficiency more than 91%. A novel stepwise-cluster inference (SCI) model was developed for the first time to map the multivariate numeric relationships between state variables and SMX removal under discrete and nonlinear complexities. It was demonstrated that the effect of SMX in wastewater with high concentration was significant on the differentiation of soil bacteria composition in MSL systems based on microbial diversity analysis. These results can help better understand the mechanism of SMX removal in MSL systems from perspectives of factorial analysis, numeric modeling, and microbiological change.Entities:
Keywords: Interactive effect; Microbial diversity; Multi-soil-layering system; Poultry wastewater; Stepwise-cluster inference; Sulfamethoxazole
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Year: 2020 PMID: 33065414 DOI: 10.1016/j.watres.2020.116480
Source DB: PubMed Journal: Water Res ISSN: 0043-1354 Impact factor: 11.236