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Functional PVDF ultrafiltration membrane for Tetrabromobisphenol-A (TBBPA) removal with high water recovery.

Author(s): Chen X, Huang G, Li Y, An C, Feng R, Wu Y, Shen J

Water Res. 2020 May 18;181:115952 Authors: Chen X, Huang G, Li Y, An C, Feng R, Wu Y, Shen J

Article GUID: 32497754
Performance of ceramic disk filter coated with nano ZnO for removing Escherichia coli from water in small rural and remote communities of developing regions.

Author(s): Huang J, Huang G, An C, He Y, Yao Y, Zhang P, Shen J

Environ Pollut. 2018 Jul;238:52-62 Authors: Huang J, Huang G, An C, He Y, Yao Y, Zhang P, Shen J

Article GUID: 29544196
Treatment of rural domestic wastewater using multi-soil-layering systems: Performance evaluation, factorial analysis and numerical modeling.

Author(s): Song P, Huang G, An C, Shen J, Zhang P, Chen X, Shen J, Yao Y, Zheng R, Sun C

Sci Total Environ. 2018 Dec 10;644:536-546 Authors: Song P, Huang G, An C, Shen J, Zhang P, Chen X, Shen J, Yao Y, Zheng R, Sun C

Article GUID: 29990903
Biophysiological and factorial analyses in the treatment of rural domestic wastewater using multi-soil-layering systems.

Author(s): Shen J, Huang G, An C, Song P, Xin X, Yao Y, Zheng R

J Environ Manage. 2018 Nov 15;226:83-94 Authors: Shen J, Huang G, An C, Song P, Xin X, Yao Y, Zheng R

Article GUID: 30114576
Analyzing the Biochemical Alteration of Green Algae During Chronic Exposure to Triclosan Based on Synchrotron-Based Fourier Transform Infrared Spectromicroscopy.

Author(s): Xin X, Huang G, An C, Weger H, Cheng G, Shen J, Rosendahl S

Anal Chem. 2019 May 31;: Authors: Xin X, Huang G, An C, Weger H, Cheng G, Shen J, Rosendahl S

Article GUID: 31117408
Title:Treatment of rural domestic wastewater using multi-soil-layering systems: Performance evaluation, factorial analysis and numerical modeling.
Authors:Song P,  Huang G,  An C,  Shen J,  Zhang P,  Chen X,  Shen J,  Yao Y,  Zheng R,  Sun C
Link:https://www.ncbi.nlm.nih.gov/pubmed/29990903?dopt=Abstract
Category:Sci Total Environ
PMID:29990903
Dept Affiliation: ENCS
1 MOE Key Laboratory of Resourcces and Environmental Systems Optimization, North China Electric Power University, Beijing, 102206, China.
2 MOE Key Laboratory of Resourcces and Environmental Systems Optimization, North China Electric Power University, Beijing, 102206, China; Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, S4S 0A2, Canada. Electronic address: huang@iseis.org.
3 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Quebec, H3G 1M8, Canada.
4 Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, S4S 0A2, Canada.

Description:

Treatment of rural domestic wastewater using multi-soil-layering systems: Performance evaluation, factorial analysis and numerical modeling.

Sci Total Environ. 2018 Dec 10;644:536-546

Authors: Song P, Huang G, An C, Shen J, Zhang P, Chen X, Shen J, Yao Y, Zheng R, Sun C

Abstract

The discharge of wastewater in rural areas without effective treatment may result in contamination of surrounding surface water and groundwater resources. This study explored the wastewater treatment performance of multi-soil-layering (MSL) systems through interactive factorial analysis. MSL systems showed good performances under various operating conditions. The COD and BOD5 removal rates in MSL systems could reach 98.53 and 93.66%, respectively. The performances of MSL systems in TP removal stayed at high levels ranged from 97.97 to 100% throughout the experiments. The NH4+?-?N removal rates of the well performed MSL systems reached highest levels ranging from 89.96 to 100%. The TN removal rates of aerated MSL systems ranged from 51.11 to 64.44% after 72?days of operation. The independent effects of bottom submersion, microbial amendment and aeration, as well as most interactions were significant. The performance of MSL systems was mainly affected by bottom submersion and aeration as well as their interactions. Aeration was the most positive factor for the removal of organic matter, TP and NH4+?-?N. However, oxygenated environment was unfavorable for NO3-?-?N removal. In the submerged area with limited oxygen, the microbial transformation of NO3-?-?N still occurred. A stepwise-cluster inference model was developed for tackling the multivariate nonlinear relationships in contaminant removal processes. The results can help obtain a better understanding of the complicated processes among contaminant removal in MSL systems.

PMID: 29990903 [PubMed]