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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:Biophysiological and factorial analyses in the treatment of rural domestic wastewater using multi-soil-layering systems.
Authors:Shen J,  Huang G,  An C,  Song P,  Xin X,  Yao Y,  Zheng R
Link:https://www.ncbi.nlm.nih.gov/pubmed/30114576?dopt=Abstract
Category:J Environ Manage
PMID:30114576
Dept Affiliation: ENCS
1 MOE Key Laboratory of Resourcces and Environmental Systems Optimization, North China Electric Power University, Beijing, 102206, China.
2 Center for Energy, Environment and Ecology Research, UR-BNU, Beijing Normal University, Beijing, 100875, China. 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.
5 Department of Environmental Engineering, Xiamen University of Technology, Xiamen, 361024, China.

Description:

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

J Environ Manage. 2018 Nov 15;226:83-94

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

Abstract

Multi-soil-layering (MSL) system was developed as an attractive alternative to traditional land-based treatment techniques. Within MSL system, the environmental cleanup capability of soil is maximized, while the soil microbial communities may also change during operation. This study aimed to reveal the nature of biophysiological changes in MSL systems during operation. The species diversity in soil mixture blocks was analyzed using Illumina HiSeq sequencing of the 16S rRNA gene. The interactive effects of operating factors on species richness, community diversity and bacteria abundance correlated with COD, N and P removal were revealed through factorial analysis. The results indicated the main factors, aeration, bottom submersion and microbial amendment, had different significant effects on microbial responses. The surface area and porosity of zeolites in permeable layers decreased due to the absorption of extracellular polymeric substances. The findings were applied for the design and building of a full-size MSL system in field and satisfied removal efficiency was achieved. The results of this study can help better understand the mechanisms of pollutant reduction within MSL systems from microbial insights. It will have important implications for developing appropriate strategies for operating MSL systems with high efficiency and less risks.

PMID: 30114576 [PubMed - indexed for MEDLINE]