The removal of SO2 and NOx by aqueous oxidation of O3 was studied by self-designed bubbling reactor. The results show that NO can be oxidized efficiently by O3 in liquid phase, while the existence of SO2 has a negative impact on the removal of NO and pH value has a little impact. The NO removal efficiency is 89.6% at [O3]/[NO] = 1.1. When the rang of pH value is in 3-11, NO removal efficiency can be achieved over 80%. At 20-65 degrees C, NO removal efficiency has no change. Combining with wet scrubbing tower, SO2 removal efficiency is nearly 100% and NO2 removal efficiency is 84.2% at [O3]/[NO] = 1.1. SO2 and NOx can be removed effectively by aqueous oxidation of O3 simultaneously.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
A novel oxidized hierarchical porous carbon with vesicule-like ultrathin graphitic walls for efficient removal of anionic and cationic dyes.
Environ Res
December 2024
College of Materials Science and Engineering, Fuzhou University, Fuzhou 350116, PR China. Electronic address:
This work developed a novel oxidized hierarchical porous carbon (OHPC) with vesicule-like ultrathin graphitic walls via a method of air oxidation and used as an efficient adsorbent for Congo red (CR) and Malachite green (MG) removal. Results show that the OHPC2 oxidized at 400 °C possesses three-dimensional hierarchical pores with vesicule-like ultrathin graphitic walls. The prepared OHPC2 not only has a large specific surface area of 1020 m g with a high pore volume, but also has abundant oxygen-containing functional groups.
View Article and Find Full Text PDFHigh-temperature calcination modified red clay as an efficient adsorbent for phosphate removal from water.
Environ Res
December 2024
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil& Water Pollution, College of Ecology and Environment, Chengdu University of Technology, Chengdu 610059, China.
To develop an efficient and cost-effective adsorbent for phosphate removal from water bodies, this study utilized natural red clay (RC) as a carrier. The modified red clay (MRC) was prepared through three methods: acid modification, high-temperature calcination, and metal loading. The preparation conditions were optimized, and the adsorption effects on phosphate were compared across these different modifications.
View Article and Find Full Text PDFDifferences in the efficiency and mechanisms of different iron-based materials driving synchronous nitrogen and phosphorus removal.
Environ Res
December 2024
State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, No. 73 Huanghe Road, Nangang District, Harbin 150090, China. Electronic address:
Iron-dependent denitrification has been substantially investigated worldwide due to the advantages of low cost, high efficiency, and synchronized phosphorous removal. However, differences in nitrogen metabolism processes with different iron-based materials as electron donors have not been systematically studied. This study investigated the efficacy of nitrogen and phosphate removal using various iron-based materials as electron donors.
View Article and Find Full Text PDFProbabilistic prediction of Phosphate ion Adsorption onto Biochar Materials Using a Large Dataset and Online Deployment.
Chemosphere
December 2024
Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ, 07030, USA. Electronic address:
Phosphate (PO(III)) contamination in water bodies poses significant environmental challenges, necessitating efficient and accurate methods to predict and optimize its removal. The current study addresses this issue by predicting the adsorption capacity of PO(III) ions onto biochar-based materials using five probabilistic machine learning models: eXtreme Gradient Boosting LSS (XGBoostLSS), Natural Gradient Boosting, Bayesian Neural Networks (NN), Probabilistic NN, and Monte-Carlo Dropout NN. Utilizing a dataset of 2952 data points with 16 inputs, XGBoostLSS demonstrated the highest R (0.
View Article and Find Full Text PDFVersatile g-CN/AlOOH Nanocomposites: Efficient photocatalyst for Dye Removal, Algae Inactivation, and Glucose Detection.
Chemosphere
December 2024
Department of Chemical and Materials Engineering, National University of Kaohsiung, Kaohsiung 81148, Taiwan. Electronic address:
Visible light photocatalysts hold great promise for water purification, yet research on highly efficient, non-toxic photocatalysts is limited. This study synthesized novel g-CN/AlOOH photocatalytic nanocomposites via thermal condensation, enhancing adsorption and visible light degradation by 36-fold and 11-fold, respectively, compared to g-CN alone. The nanocomposites achieved a 98% removal rate of methyl orange under xenon lamp irradiation (>400 nm) for 1 hour.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!