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Bio-Sustainable Membrane Technology on Wastewater Treatment and Bioenergy Recovery
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Bio-Sustainable Membrane Technology on Wastewater Treatment and Bioenergy Recovery

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".

Deadline for manuscript submissions: closed (11 October 2022) | Viewed by 14102

Special Issue Editor

Dr. Xiaobin Tang

E-Mail Website
Guest Editor
School of Environment, Harbin Institute of Technology, Harbin, China
Interests: membrane fouling; membrane-based water treatment; membrane fabrication; drinking water treatment; water reuse; decentralized water treatment; iron and manganese removal; heavy metals removal
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue may focus on membrane-based water treatment technology, including membrane fouling, membrane fabrication, new membrane materials, membrane practices, membrane review, decentralized water treatment, resource recovery, water reuse, secondary effluent reuse and irrigation, grey water treatment and recycling, and anaerobic membrane treatment technology, especially with carbon neutrality.

Prof. Dr. Xiaobin Tang
Guest Editor

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Keywords

  • membrane bioreactor
  • membrane fouling control
  • decentralized wastewater water treatment
  • grey water treatment and reuse
  • secondary effluent reuse
  • gravity-driven membrane technology
  • A/O process

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Published Papers (4 papers)

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Research

19 pages, 7570 KiB  
Article
Landscape Ecological Risk Assessment and Planning Enlightenment of Songhua River Basin Based on Multi-Source Heterogeneous Data Fusion
by Ying Zhao, Zhe Tao, Mengnan Wang, Yuanhua Chen, Rui Wu and Liang Guo
Water 2022, 14(24), 4060; https://doi.org/10.3390/w14244060 - 12 Dec 2022
Cited by 9 | Viewed by 2421
Abstract
In this study, the remote sensing images of the 30 km buffer zone from Zhaoyuan to Baidu of the Songhua River, which is rich in land use types and frequent in human activities, were selected as the research object to analyze land use [...] Read more.
In this study, the remote sensing images of the 30 km buffer zone from Zhaoyuan to Baidu of the Songhua River, which is rich in land use types and frequent in human activities, were selected as the research object to analyze land use change and driving factors. The objective of this research is to evaluate the ecological risk of watershed landscapes and provide a basis for watershed ecological environment protection and planning. On this basis, the landscape pattern index data were extracted, and a three-dimensional comprehensive index system of the natural, social and landscape pattern was constructed. In addition, based on the spatial principal component analysis (SPCA), data fusion was carried out to improve the accuracy and comprehensiveness of landscape ecological risk assessment results. The risk level of watershed landscape ecology was divided into low ecological risk, medium-low ecological risk, medium ecological risk, medium-high ecological risk, and high ecological risk by the Natural Breaks method. According to the results of the landscape ecological risk assessment and the characteristics of risk sources in each risk level area, the ecological protection and planning enlightenment suitable for each risk level area were obtained. The research content can provide ideas and evidence for environmental managers to formulate ecological risk protection strategies and reduce the impact of ecological risk threats. Full article
(This article belongs to the Special Issue Bio-Sustainable Membrane Technology on Wastewater Treatment and Bioenergy Recovery)
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20 pages, 4981 KiB  
Article
Pilot-Scale Biological Activated Carbon Filtration–Ultrafiltration System for Removing Pharmaceutical and Personal Care Products from River Water
by Qian Wang, Xiaobin Tang, Weichen Zeng, Feng Wang, Weijia Gong, Jingyuan Chen, Jinlong Wang, Guibai Li and Heng Liang
Water 2022, 14(3), 367; https://doi.org/10.3390/w14030367 - 26 Jan 2022
Cited by 9 | Viewed by 3981
Abstract
Biological activated carbon (BAC) biofilter coupling ultrafiltration (UF) is a promising process for the treatment of river water contaminated by pharmaceutical and personal care products (PPCPs). However, the pilot-scale study should be conducted to reveal the long-term removal performance and the respective contributions [...] Read more.
Biological activated carbon (BAC) biofilter coupling ultrafiltration (UF) is a promising process for the treatment of river water contaminated by pharmaceutical and personal care products (PPCPs). However, the pilot-scale study should be conducted to reveal the long-term removal performance and the respective contributions of BAC and UF. In this study, a BAC-UF system with treatment capacity of 0.16 m3 h−1 was operated for 130 days. The water quality was analyzed in terms of CODMn, UV254, NH4+-N, and PPCPs. The results showed that both BAC and UF were related to the removal of organic matter (CODMn and UV254), achieving the removals of 56.00% and 55.25%, respectively. Similarly, BAC and UF were both relevant to the removal effects of ammonia nitrogen, nitrite, and nitrate. Moreover, the BAC-UF process was featured with a high efficiency in the removal of PPCPs, and the average removal of total PPCPs reached 47.84%, especially anhydroerythromycin, sulfachloropyridazine, sulfadiazine, trimethoprim, and caffeine. Besides, it was found that the BAC unit played a key role in PPCPs removal and the UF unit also degraded them by the biomass on UF membranes. Therefore, this study proved the removal performance of BAC-UF for treating popular pollutants from river water, and the BAC-UF process in this work can be considered as a feasible method of producing clean drinking water. Full article
(This article belongs to the Special Issue Bio-Sustainable Membrane Technology on Wastewater Treatment and Bioenergy Recovery)
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14 pages, 2705 KiB  
Article
Effects of Filtration Mode on the Performance of Gravity-Driven Membrane (GDM) Filtration: Cross-Flow Filtration and Dead-End Filtration
by Qian Wang, Xiaobin Tang, Heng Liang, Wenjun Cheng, Guibai Li, Qingjun Zhang, Jie Chen, Kang Chen and Jinlong Wang
Water 2022, 14(2), 190; https://doi.org/10.3390/w14020190 - 11 Jan 2022
Cited by 10 | Viewed by 4489
Abstract
Gravity-driven membrane (GDM) filtration technology has been extensively in the employed drinking water treatment, however, the effect filtration mode (i.e., dead-end mode vs. cross-flow mode) on its long-term performance has not been systematically investigated. In this study, pilot-scale GDM systems were operated using [...] Read more.
Gravity-driven membrane (GDM) filtration technology has been extensively in the employed drinking water treatment, however, the effect filtration mode (i.e., dead-end mode vs. cross-flow mode) on its long-term performance has not been systematically investigated. In this study, pilot-scale GDM systems were operated using two submerged filtration mode (SGDM) and cross-flow mode (CGDM) at the gravity-driven pressures 120 mbar and 200 mbar, respectively. The results showed that flux stabilization was observed both in the SGDM and CGDM during long-term filtration, and importantly the stabilized flux level of CGDM was elevated by 3.5–67.5%, which indicated that the filtration mode would not influence the occurrence of flux stability, but significantly improve the stable flux level. Interestingly, the stable flux level was not significantly improved with the increase of driven pressure, and the optimized driven pressure was 120 mbar. In addition, the GDM process conferred effective removals of turbidity, UV254, CODMn, and DOC, with average removals of 99%, 43%, 41%, and 20%, respectively. With the assistance of cross flow to avert the overaccumulation of contaminants on the membrane surface, CGDM process exhibited even higher removal efficiency than SGDM process. Furthermore, it can be found that the CGDM system can effectively remove the fluorescent protein-like substances, and the intensities of tryptophans substance and soluble microbial products were reduced by 64.61% and 55.08%, respectively, higher than that of the SGDM. Therefore, it can be determined that the filtration mode played an important role in the flux stabilization of GDM system during long-term filtration, and the cross-flow filtration mode can simultaneously improve the stabilized flux level and removal performance. Full article
(This article belongs to the Special Issue Bio-Sustainable Membrane Technology on Wastewater Treatment and Bioenergy Recovery)
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18 pages, 3377 KiB  
Article
A Brain-Inspired Dynamic Environmental Emergency Response Framework for Sudden Water Pollution Accidents
by Ying Zhao, Yilin Pan, Wensong Wang and Liang Guo
Water 2021, 13(21), 3097; https://doi.org/10.3390/w13213097 - 3 Nov 2021
Cited by 8 | Viewed by 2476
Abstract
Sudden water pollution accidents happen frequently in China, and the number of treated accidents is low, due to the slow response speed. In addition, there is a lack of decision support systems that can follow up the whole process instead of just giving [...] Read more.
Sudden water pollution accidents happen frequently in China, and the number of treated accidents is low, due to the slow response speed. In addition, there is a lack of decision support systems that can follow up the whole process instead of just giving a one-time method. This study constructs a framework suitable for China that has both the ability of quick responses and full-time dynamic decision support, such as an experienced expert, while not being affected by pressure, to be used an emergency response for sudden water pollution accidents. To allow new decisionmakers to integrate into this professional decision-making role more quickly, a brain-inspired system is realized through combining the machine learning algorithm KNN and the idea of iteration and dynamic programming. The feasibility of our framework is further tested through a major water pollution happened recently. The results show that this framework can be well connected with the emergency response technology system that has been completed before, while also supporting the rapid and robust decision making such as the decisionmaker’s second brain, reducing the demand for professional background and experience of emergency decisionmakers, thus effectively shorten the waiting period for response. Full article
(This article belongs to the Special Issue Bio-Sustainable Membrane Technology on Wastewater Treatment and Bioenergy Recovery)
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