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Wang Z, Zhang J, Zhang Z, Zhang Q, Deng B, Zhang N, Cao Z, Wei G, Xia S. Gas permeable membrane electrode assembly with in situ utilization of authigenic acid and base for transmembrane electro-chemisorption to enhance ammonia recovery from wastewater. WATER RESEARCH 2024; 258:121655. [PMID: 38762914 DOI: 10.1016/j.watres.2024.121655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 04/18/2024] [Accepted: 04/20/2024] [Indexed: 05/21/2024]
Abstract
Ammonia recovery from wastewater is of great significance for aquatic ecology safety, human health and carbon emissions reduction. Electrochemical methods have gained increasing attention since the authigenic base and acid of electrochemical systems can be used as stripper and absorbent for transmembrane chemisorption of ammonia, respectively. However, the separation of electrodes and gas permeable membrane (GPM) significantly restricts the ammonia transfer-transformation process and the authigenic acid-base utilization. To break the restrictions, this study developed a gas permeable membrane electrode assembly (GPMEA), which innovatively integrated anode and cathode on each side of GPM through easy phase inversion of polyvinylidene fluoride binder, respectively. With the GPMEA assembled in a stacked transmembrane electro-chemisorption (sTMECS) system, in situ utilization of authigenic acid and base for transmembrane electro-chemisorption of ammonia was achieved to enhance the ammonia recovery from wastewater. At current density of 60 A/m2, the transmembrane ammonia flux of the GPMEA was 693.0 ± 15.0 g N/(m2·d), which was 86 % and 28 % higher than those of separate GPM and membrane cathode, respectively. The specific energy consumption of the GPMEA was 9.7∼16.1 kWh/kg N, which were about 50 % and 25 % lower than that of separate GPM and membrane cathode, respectively. Moreover, the application of GPMEA in the ammonia recovery from wastewater is easy to scale up in the sTMECS system. Accordingly, with the features of excellent performance, energy saving and easy scale-up, the GPMEA showed good prospects in electrochemical ammonia recovery from wastewater.
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Affiliation(s)
- Zuobin Wang
- State Key Laboratory of Pollution Control and Resource Reuse, Key Laboratory of Urban Water Supply, Water Saving and Water Environment Governance in the Yangtze River Delta of Ministry of Water Resources, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; National Engineering Research Center of Dredging Technology and Equipment, Key Laboratory of Dredging Technology, CCCC, Shanghai 200082, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| | - Jiao Zhang
- School of Municipal and Ecological Engineering, Shanghai Urban Construction Vocational College, Shanghai 200432, China
| | - Zhiqiang Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, Key Laboratory of Urban Water Supply, Water Saving and Water Environment Governance in the Yangtze River Delta of Ministry of Water Resources, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China.
| | - Qingbo Zhang
- National Engineering Research Center of Dredging Technology and Equipment, Key Laboratory of Dredging Technology, CCCC, Shanghai 200082, China
| | - Beiqi Deng
- State Key Laboratory of Pollution Control and Resource Reuse, Key Laboratory of Urban Water Supply, Water Saving and Water Environment Governance in the Yangtze River Delta of Ministry of Water Resources, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| | - Nan Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, Key Laboratory of Urban Water Supply, Water Saving and Water Environment Governance in the Yangtze River Delta of Ministry of Water Resources, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| | - Zhiyong Cao
- State Key Laboratory of Pollution Control and Resource Reuse, Key Laboratory of Urban Water Supply, Water Saving and Water Environment Governance in the Yangtze River Delta of Ministry of Water Resources, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| | - Guangfeng Wei
- Shanghai Key Laboratory of Chemical Assessment and Sustainability, School of Chemical Science and Engineering, Tongji University, Shanghai 200092, China
| | - Siqing Xia
- State Key Laboratory of Pollution Control and Resource Reuse, Key Laboratory of Urban Water Supply, Water Saving and Water Environment Governance in the Yangtze River Delta of Ministry of Water Resources, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
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2
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Zhang H, Sun H, Zhao R, Tian Y, Meng Y. High resolution spatiotemporal modeling of long term anthropogenic nutrient discharge in China. Sci Data 2024; 11:283. [PMID: 38461162 PMCID: PMC10925032 DOI: 10.1038/s41597-024-03102-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 02/28/2024] [Indexed: 03/11/2024] Open
Abstract
High-resolution integration of large-scale and long-term anthropogenic nutrient discharge data is crucial for understanding the spatiotemporal evolution of pollution and identifying intervention points for pollution mitigation. Here, we establish the MEANS-ST1.0 dataset, which has a high spatiotemporal resolution and encompasses anthropogenic nutrient discharge data collected in China from 1980 to 2020. The dataset includes five components, namely, urban residential, rural residential, industrial, crop farming, and livestock farming, with a spatial resolution of 1 km and a temporal resolution of monthly. The data are available in three formats, namely, GeoTIFF, NetCDF and Excel, catering to GIS users, researchers and policymakers in various application scenarios, such as visualization and modelling. Additionally, rigorous quality control was performed on the dataset, and its reliability was confirmed through cross-scale validation and literature comparisons at the national and regional levels. These data offer valuable insights for further modelling the interactions between humans and the environment and the construction of a digital Earth.
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Affiliation(s)
- Haoran Zhang
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Huihang Sun
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Ruikun Zhao
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Yu Tian
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
| | - Yiming Meng
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
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3
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Kuempel CD, Thomas J, Wenger AS, Jupiter SD, Suárez-Castro AF, Nasim N, Klein CJ, Hoegh-Guldberg O. A spatial framework for improved sanitation to support coral reef conservation. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 342:123003. [PMID: 38040183 DOI: 10.1016/j.envpol.2023.123003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/30/2023] [Accepted: 11/17/2023] [Indexed: 12/03/2023]
Abstract
Coral reefs are one of the most valuable yet threatened ecosystems in the world. Improving human wastewater treatment could reduce land-based impacts on coral reefs. However, information on the quantity and spatial distribution of human wastewater pollution is lacking. Here, we develop a spatial model linking residential human wastewater pollution (nitrogen and phosphorus/year) and conservation sectors [coral reefs] to better understand the relative differences in the distribution and efficacy of different sanitation services and their potential implications for conservation monitoring and management. We apply our model to Fiji, where ongoing initiatives and investments in wastewater treatment for human health could be leveraged to cost-effectively improve coral reef condition. We estimate that wastewater treatment plants account for nearly 80% of human wastewater nutrients released into surface waters. Wasterwater nutrient pollution is widespread, affecting 95% of reefs, but is concentrated across a few watersheds. Our spatially explicit approach can be used to better understand potential benefits and trade-offs between sanitation service improvements and coral reef health, helping to bridge the sanitation and conservation sectors as well as inform and prioritize on the ground action.
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Affiliation(s)
- Caitlin D Kuempel
- Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and Science, Griffith University, Nathan, QLD, 4111, Australia.
| | - Jacqueline Thomas
- School of Civil Engineering, The University of Sydney, NSW, 2008, Australia
| | - Amelia S Wenger
- Wildlife Conservation Society, Marine Program, Bronx, NY, USA; School of the Environment, Centre for Biodiversity and Conservation Science, University of Queensland, 4072, Australia
| | - Stacy D Jupiter
- Wildlife Conservation Society, Melanesia Program, 11 Ma'afu Street, Suva, Fiji
| | - Andrés F Suárez-Castro
- Australian Rivers Institute, School of Environment and Science, Griffith University, Nathan, QLD 4111, Australia
| | - Nabeela Nasim
- School of Civil Engineering, The University of Sydney, NSW, 2008, Australia
| | - Carissa J Klein
- School of the Environment, Centre for Biodiversity and Conservation Science, University of Queensland, 4072, Australia
| | - Ove Hoegh-Guldberg
- School of Biological Sciences, University of Queensland, St Lucia, 4072, QLD, Australia
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4
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Kim H, Park H, Kim K, Lee C. Electrochemical recovery of nutrients from human urine coupled with biogas upgrading. BIORESOURCE TECHNOLOGY 2024; 394:130298. [PMID: 38184086 DOI: 10.1016/j.biortech.2023.130298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/17/2023] [Accepted: 12/31/2023] [Indexed: 01/08/2024]
Abstract
This study explored the coupling of electrochemical nutrient recovery from human urine with biogas upgrading. Ammonia nitrogen-rich (≥300 mM) and alkaline (≥pH 9) hydrolyzed urine (HU) is a promising alternative CO2 solvent. Spent urine after biogas upgrading (SU), with neutralized pH and increased conductivity resulting from CO2 absorption, is advantageous over HU for recovering total ammonia nitrogen (TAN) through electro-concentration. Experiments using synthetic urine at varying applied current densities (13-77 A/m2) demonstrated effective TAN recovery from both HU and SU, with greater enrichment factors at higher currents (2.1-3.3-fold, 1.2-1.8 M TAN concentrate). Validation experiments using real urine at the optimized current density of 52 A/m2, considering energy consumption, exhibited superior TAN recovery and energy efficiency when using SU (3.7-fold enrichment, 1.6 M TAN concentrate; suitable for liquid fertilizer) compared to HU. These findings offer an advanced strategy for maximizing urine valorization, contributing to a circular economy.
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Affiliation(s)
- Hanwoong Kim
- Department of Civil, Urban, Earth, and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
| | - Huiju Park
- Graduate School of Carbon Neutrality, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
| | - Kwiyong Kim
- Department of Civil, Urban, Earth, and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea; Graduate School of Carbon Neutrality, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
| | - Changsoo Lee
- Department of Civil, Urban, Earth, and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea; Graduate School of Carbon Neutrality, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
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5
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Sun H, Tian Y, Zhan W, Zhang H, Meng Y, Li L, Zhou X, Zuo W, Ngo HH. Estimating Yangtze River basin's riverine N 2O emissions through hybrid modeling of land-river-atmosphere nitrogen flows. WATER RESEARCH 2023; 247:120779. [PMID: 37897993 DOI: 10.1016/j.watres.2023.120779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/15/2023] [Accepted: 10/22/2023] [Indexed: 10/30/2023]
Abstract
Riverine ecosystems are a significant source of nitrous oxide (N2O) worldwide, but how they respond to human and natural changes remains unknown. In this study, we developed a compound model chain that integrates mechanism-based modeling and machine learning to understand N2O transfer patterns within land, rivers, and the atmosphere. The findings reveal a decrease in N2O emissions in the Yangtze River basin from 4.7 Gg yr-1 in 2000 to 2.8 Gg yr-1 in 2019, with riverine emissions accounting for 0.28% of anthropogenic nitrogen discharges from land. This unexpected reduction is primarily attributed to improved water quality from human-driven nitrogen control, while natural factors contributed to a 0.23 Gg yr-1 increase. Notably, urban rivers exhibited a more rapid N2O efflux ( [Formula: see text] ), with upstream levels nearly 3.1 times higher than rural areas. We also observed nonlinear increases in [Formula: see text] with nitrogen discharge intensity, with urban areas showing a gradual and broader range of increase compared to rural areas, which exhibited a sharper but narrower increase. These nonlinearities imply that nitrogen control measures in urban areas lead to stable reductions in N2O emissions, while rural areas require innovative nitrogen source management solutions for greater benefits. Our assessment offers fresh insights into interpreting riverine N2O emissions and the potential for driving regionally differentiated emission reductions.
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Affiliation(s)
- Huihang Sun
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Yu Tian
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
| | - Wei Zhan
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Haoran Zhang
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Yiming Meng
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Lipin Li
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Xue Zhou
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Wei Zuo
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Huu Hao Ngo
- Faculty of Engineering, University of Technology Sydney, P.O. Box 123, Broadway, Sydney, NSW 2007, Australia
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Xie J, Zhuge X, Liu X, Zhang Q, Liu Y, Sun P, Zhao Y, Tong Y. Environmental sustainability opportunity and socio-economic cost analyses of phosphorus recovery from sewage sludge. ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY 2023; 16:100258. [PMID: 36941883 PMCID: PMC10024106 DOI: 10.1016/j.ese.2023.100258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 02/21/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
Although phosphorus (P) recovery and management from sewage sludge are practiced in North America and Europe, such practices are not yet to be implemented in China. Here, we evaluated the environmental sustainability opportunity and socio-economic costs of recovering P from sewage sludge by replacing the current-day treatments (CT; sludge treatment and landfill) and P chemical fertilizer application (CF) in China using life cycle assessment and life cycle costing methods. Three potential P recovery scenarios (PR1‒PR3: struvite, vivianite, and treated sludge) and corresponding current-day scenarios (CT1‒CT3 and CF) were considered. Results indicated that PR1 and PR2 have smaller environmental impacts than the current-day scenarios, whereas PR3 has larger impacts in most categories. PR3 has the lowest net costs (sum of internal costs and benefits, 39.1-54.7 CNY per kg P), whereas PR2 has the lowest external costs (366.8 CNY per kg P). Societal costs for production and land use of 1 kg P by P recovery from sewage sludge (e.g., ∼527 CNY for PR1) are much higher than those of P chemical fertilizers (∼20 CNY for CF). However, considering the costs in the current-day treatments (e.g., ∼524 CNY for CT1), societal costs of P recovery scenarios are close to or slightly lower than those of current-day scenarios. Among the three P recovery scenarios, we found that recovering struvite as P fertilizer has the highest societal feasibility. This study will provide valuable information for improved sewage sludge management and will help promote the sustainable supply of P in China.
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Affiliation(s)
- Jiawen Xie
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China
| | - Xingchen Zhuge
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China
| | - Xixi Liu
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China
| | - Qian Zhang
- Robert M. Buchan Department of Mining, Queen's University, Kingston, K7L 3N6, Canada
| | - Yiwen Liu
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China
| | - Peizhe Sun
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China
| | - Yingxin Zhao
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China
| | - Yindong Tong
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China
- School of Science, Tibet University, Lhasa, 850012, China
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7
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Osorio-Reyes JG, Valenzuela-Amaro HM, Pizaña-Aranda JJP, Ramírez-Gamboa D, Meléndez-Sánchez ER, López-Arellanes ME, Castañeda-Antonio MD, Coronado-Apodaca KG, Gomes Araújo R, Sosa-Hernández JE, Melchor-Martínez EM, Iqbal HMN, Parra-Saldivar R, Martínez-Ruiz M. Microalgae-Based Biotechnology as Alternative Biofertilizers for Soil Enhancement and Carbon Footprint Reduction: Advantages and Implications. Mar Drugs 2023; 21:md21020093. [PMID: 36827134 PMCID: PMC9958754 DOI: 10.3390/md21020093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/21/2023] [Accepted: 01/21/2023] [Indexed: 02/01/2023] Open
Abstract
Due to the constant growth of the human population and anthropological activity, it has become necessary to use sustainable and affordable technologies that satisfy the current and future demand for agricultural products. Since the nutrients available to plants in the soil are limited and the need to increase the yields of the crops is desirable, the use of chemical (inorganic or NPK) fertilizers has been widespread over the last decades, causing a nutrient shortage due to their misuse and exploitation, and because of the uncontrolled use of these products, there has been a latent environmental and health problem globally. For this reason, green biotechnology based on the use of microalgae biomass is proposed as a sustainable alternative for development and use as soil improvers for crop cultivation and phytoremediation. This review explores the long-term risks of using chemical fertilizers for both human health (cancer and hypoxia) and the environment (eutrophication and erosion), as well as the potential of microalgae biomass to substitute current fertilizer using different treatments on the biomass and their application methods for the implementation on the soil; additionally, the biomass can be a source of carbon mitigation and wastewater treatment in agro-industrial processes.
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Affiliation(s)
| | | | | | - Diana Ramírez-Gamboa
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | | | | | - Ma. Dolores Castañeda-Antonio
- Centro de Investigaciones en Ciencias Microbiológicas del Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla, Puebla 72490, Mexico
| | - Karina G. Coronado-Apodaca
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Rafael Gomes Araújo
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Juan Eduardo Sosa-Hernández
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Elda M. Melchor-Martínez
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Hafiz M. N. Iqbal
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Roberto Parra-Saldivar
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
- Correspondence: (R.P.-S.); (M.M.-R.)
| | - Manuel Martínez-Ruiz
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
- Correspondence: (R.P.-S.); (M.M.-R.)
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Li X, Wang T, Fu B, Mu X. Improvement of aquaculture water quality by mixed Bacillus and its effects on microbial community structure. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:69731-69742. [PMID: 35576039 DOI: 10.1007/s11356-022-20608-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/29/2022] [Indexed: 06/15/2023]
Abstract
Microbial remediation, especially the application of probiotics, has recently gained popularity in improving water quality and maintaining aquatic animal health. The efficacy and mechanism of mixed Bacillus for improvement of water quality and its effects on aquatic microbial community structure remain unknown. To elucidate these issues, we applied two groups of mixed Bacillus (Bacillus megaterium and Bacillus subtilis (A0 + BS) and Bacillus megaterium and Bacillus coagulans (A0 + BC)) to the aquaculture system of Crucian carp. Our results showed that the improvement effect of mixed Bacillus A0 + BS on water quality was better than that of A0 + BC, and the NH4+-N, NO2--N, NO3--N, and total phosphorus (TP) concentrations were reduced by 46.3%, 76.3%, 35.6%, and 80.3%, respectively. In addition, both groups of mixed Bacillus increased the diversity of the bacterial community and decreased the diversity of the fungal community. Microbial community analysis showed that mixed Bacillus A0 + BS increased the relative abundance of bacteria related with nitrogen and phosphorus removal, such as Proteobacteria, Actinobacteria, Comamonas, and Stenotrophomonas, but decreased the relative abundance of pathogenic bacteria (Acinetobacter and Pseudomonas) and fungi (Epicoccum and Fusarium). Redundancy analysis showed that NH4+-N, NO2--N, and TP were the primary environmental factors affecting the microbial community in aquaculture water. PICRUST analysis indicated that all functional pathways in the A0 + BS group were richer than those in other groups. These results indicated that mixed Bacillus A0 + BS addition produced good results in reducing nitrogenous and phosphorus compounds and shaped a favorable microbial community structure to further improve water quality.
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Affiliation(s)
- Xue Li
- School of Environmental Science, Liaoning University, Shenyang, 110036, People's Republic of China
- Fishery Resource and Environment Research Center, Chinese Academy of Fishery Sciences, Beijing, 100141, People's Republic of China
| | - Tianjie Wang
- School of Environmental Science, Liaoning University, Shenyang, 110036, People's Republic of China
| | - Baorong Fu
- School of Environmental Science, Liaoning University, Shenyang, 110036, People's Republic of China.
| | - Xiyan Mu
- Fishery Resource and Environment Research Center, Chinese Academy of Fishery Sciences, Beijing, 100141, People's Republic of China
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9
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Mapping and determinants of consumption of egg and/or flesh foods and zero vegetables or fruits among young children in SSA. Sci Rep 2022; 12:11924. [PMID: 35831382 PMCID: PMC9279389 DOI: 10.1038/s41598-022-15102-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 06/17/2022] [Indexed: 11/09/2022] Open
Abstract
Zero vegetable or fruit and egg and/or flesh foods are the latest indicators for assessing infant and young child feeding practices. Understanding national and subnational heterogeneity and regional clustering in children with SSA is becoming increasingly essential for geographic targeting and policy prioritization. Geographical case identification, determinants, and impacts were all investigated. SSA children's consumption of vegetable or fruit, egg and/or flesh food, and both were low. In SSA, some portions of the Southern, South direction of the Western and Central regions have a lower weight of all bad conditions than others, although children continue to suffer in considerable numbers in all disadvantage circumstances. Children under the age of 1 year, from rural areas, uneducated families, and low income were all disadvantaged by both feeding techniques. To improve child nutrition status, multisectoral collaboration is essential. This framework allows for the tracking, planning, and implementation of nutritional treatments.
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10
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Sun J, Yang L, Xiao S, Chu H, Jiang S, Yu Z, Zhou X, Zhang Y. A promising microalgal wastewater cyclic cultivation technology: Dynamic simulations, economic viability, and environmental suitability. WATER RESEARCH 2022; 217:118411. [PMID: 35429879 DOI: 10.1016/j.watres.2022.118411] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 03/22/2022] [Accepted: 04/03/2022] [Indexed: 06/14/2023]
Abstract
The microalgal wastewater cyclic cultivation technology (AWC2T) proposed in this study helps address the challenges surrounding water scarcity and ecological sustainability in a clean, resource-efficient, and affordable manner. A novel microalgae growth model (AGM) elucidating the growth mechanisms of microalgae in the AWC2T system was established for dynamic simulations and design optimization. The recycled wastewater accelerated the growth rate of microalgae, and increased biomass and lipids content by 11% and 37.65%, respectively, after 8 batches of cultivation. The accumulated soluble algae products (SAPs) enhanced microalgae growth by providing nutrients and regulating metabolism. In addition, scenario simulations illustrated the excellent long-term performance of the AWC2T system. 100% recycling of microalgal wastewater could save 0.3% N and 54.36% P. The techno-economic analysis (TEA) and life cycle assessment (LCA) explored how economic and sustainability principles can be embedded into the life cycle of microalgae production. The AWC2T led to outcomes vastly superior to non-cyclic technology by enabling the high-level recovery of resources, providing substantial benefits, enhancing contingency and risk resistance, and offsetting a host of unintended environmental effects.
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Affiliation(s)
- Jingjing Sun
- State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China
| | - Libin Yang
- State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China
| | - Shaoze Xiao
- State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China
| | - Huaqiang Chu
- State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China; Shanghai Institute of pollution control and ecological security, Tongji University, Shanghai 200092, China.
| | - Shuhong Jiang
- State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China
| | - Zhenjiang Yu
- State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China
| | - Xuefei Zhou
- State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China; Shanghai Institute of pollution control and ecological security, Tongji University, Shanghai 200092, China.
| | - Yalei Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China; Shanghai Institute of pollution control and ecological security, Tongji University, Shanghai 200092, China.
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11
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“Twin Lotus Flower” Adsorbents Derived from LaFe Cyanometallate for High-Performance Phosphorus Removal. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2022.120924] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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12
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Chattopadhyay I, J RB, Usman TMM, Varjani S. Exploring the role of microbial biofilm for industrial effluents treatment. Bioengineered 2022; 13:6420-6440. [PMID: 35227160 PMCID: PMC8974063 DOI: 10.1080/21655979.2022.2044250] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Biofilm formation on biotic or abiotic surfaces is caused by microbial cells of a single or heterogeneous species. Biofilm protects microbes from stressful environmental conditions, toxic action of chemicals, and antimicrobial substances. Quorum sensing (QS) is the generation of autoinducers (AIs) by bacteria in a biofilm to communicate with one other. QS is responsible for the growth of biofilm, synthesis of exopolysaccharides (EPS), and bioremediation of environmental pollutants. EPS is used for wastewater treatment due to its three-dimensional matrix which is composed of proteins, polysaccharides, humic-like substances, and nucleic acids. Autoinducers mediate significantly the degradation of environmental pollutants. Acyl-homoserine lactone (AHL) producing bacteria as well as quorum quenching enzyme or bacteria can effectively improve the performance of wastewater treatment. Biofilms-based reactors due to their economic and ecofriendly nature are used for the treatment of industrial wastewaters. Electrodes coated with electro-active biofilm (EAB) which are obtained from sewage sludge, activated sludge, or industrial and domestic effluents are getting popularity in bioremediation. Microbial fuel cells are involved in wastewater treatment and production of energy from wastewater. Synthetic biological systems such as genome editing by CRISPR-Cas can be used for the advanced bioremediation process through modification of metabolic pathways in quorum sensing within microbial communities. This narrative review discusses the impacts of QS regulatory approaches on biofilm formation, extracellular polymeric substance synthesis, and role of microbial community in bioremediation of pollutants from industrial effluents.
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Affiliation(s)
| | - Rajesh Banu J
- Department of Life Sciences, Central University of Tamil Nadu, Thiruvarur, India
| | - T M Mohamed Usman
- Department of Civil Engineering, PET Engineering College, Vallioor, Tirunelveli, India
| | - Sunita Varjani
- Paryavaran Bhavan, Gujarat Pollution Control Board, Gandhinagar, India
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13
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Abstract
Biochar is a new type of adsorption material with excellent performance, but it has some problems, such as light texture, poor sedimentation, and difficult recovery, which limits its practical application. In this study, biochar microspheres (MBCQ) were prepared by the sol–gel method using powdery biochar from Hydrocotyle vulgaris as raw material and sodium alginate as a granular carrier. Experiments were performed to investigate the dynamic adsorption characteristics of phosphorus by MBCQ in the adsorption column and the influences of particle size, initial phosphorus concentration, flow rate, and column height on the breakthrough curve. The results showed that the static adsorption properties of different particles varied and that 3-millimeter particles were optimal. The breakthrough time positively correlated with column height and negatively correlated with initial phosphorus concentration, flow rate, and particle size. Flow velocity significantly impacted breakthrough time and length of mass transfer. The bed depth/service time model accurately predicted the relationship between breakthrough times and column heights. When ct/c0 = 0.6, the average relative deviation between predicted and measured values was the lowest. The Thomas model described the MBCQ adsorption process of Ph (R2 > 0.95), which indicated that diffusion in MBCQ adsorption was not a rate-limiting step.
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14
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Ruprecht JE, King IP, Dafforn KA, Mitrovic SM, Harrison AJ, Birrer SC, Crane SL, Glamore WC. Implications of bacterial mineralisation in aquatic ecosystem response models. WATER RESEARCH 2022; 209:117888. [PMID: 34847391 DOI: 10.1016/j.watres.2021.117888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Revised: 11/15/2021] [Accepted: 11/16/2021] [Indexed: 06/13/2023]
Abstract
Widespread wastewater pollution is a major barrier to the sustainable management of freshwater and coastal marine ecosystems worldwide. Integrated multi-disciplinary studies are necessary to improve waterway management and protect ecosystem integrity. This study used the Generalised Likelihood Uncertainty Estimation (GLUE) methodology to link microbial community ecotoxicology laboratory data to a mechanistic aquatic ecosystem response model. The generic model provided good predictive skill for major water quality constituents, including heterotrophic bacteria dynamics (r2 = 0.91). The model was validated against observed data across a gradient of effluent concentrations from community whole effluent toxicity (WET) laboratory tests. GLUE analysis revealed that a combined likelihood measure increased confidence in the predictive capability of the model. This study highlights the importance of calibrating aquatic ecosystem response models with net growth rates (i.e., sum of the growth minus loss rate parameter terms) of biological functional groups. The final calibrated net growth rate value of heterotrophic bacteria determined using the GLUE analysis was selected to be 0.58, which was significantly greater than the average literature value of -0.15. This finding demonstrated that use of literature parameter values without a good understanding of the represented processes could create misleading outputs and result in unsatisfactory conclusions. Further, fixed bulk mineralisation rate literature values are typically higher than realistically required in aquatic ecosystem response models. This indicates that explicitly including bacterial mineralisation is crucial to represent microbial ecosystem functioning more accurately. Our study suggests that improved data collection and modelling efforts in real-world management applications are needed to better address nutrients released into the natural environment. Future studies should aim to better understand the sensitivity of aquatic ecosystem response models to bacterial mineralisation rates.
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Affiliation(s)
- J E Ruprecht
- Water Research Laboratory, School of Civil and Environmental Engineering, UNSW, Sydney, NSW 2052, Australia.
| | - I P King
- Water Research Laboratory, School of Civil and Environmental Engineering, UNSW, Sydney, NSW 2052, Australia; Department of Civil and Environmental Engineering, University of California, Davis, CA 95616, USA
| | - K A Dafforn
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW, Sydney, NSW 2052, Australia; Department of Earth and Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - S M Mitrovic
- Freshwater and Estuarine Research Group, School of Life Sciences, University of Technology Sydney, Australia
| | - A J Harrison
- Water Research Laboratory, School of Civil and Environmental Engineering, UNSW, Sydney, NSW 2052, Australia
| | - S C Birrer
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW, Sydney, NSW 2052, Australia
| | - S L Crane
- Ferrari Lab, School of Biotechnology and Biomolecular Sciences, UNSW, Sydney, NSW 2052, Australia
| | - W C Glamore
- Water Research Laboratory, School of Civil and Environmental Engineering, UNSW, Sydney, NSW 2052, Australia
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15
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Ismail I, Huda N. Meat alternatives. FUTURE FOODS 2022. [DOI: 10.1016/b978-0-323-91001-9.00004-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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16
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Liu J, Li Q, Mao F, Wang K, Wu H. 2D MOFs-based Materials for the Application of Water Pollutants Removing: Fundamentals and Prospects. Chem Asian J 2021; 16:3585-3598. [PMID: 34569726 DOI: 10.1002/asia.202100881] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 09/18/2021] [Indexed: 12/27/2022]
Abstract
Water quality can have serious impacts on human health. One crucial issue of water pollution seriously affects our safety due to the continually emerging of discovered anthropogenic pollutants. The water treatment technologies are persistent improvement to adapt such new contaminants, which accelerates the evolution of materials science to explore solving the problems. Metal-organic Frameworks (MOFs) as the significant porous and multi-dimensional networks has been concerned for toxic pollutant elimination, especially probed the applications of outstanding layered 2D skeletons MOFs-based materials. The emphases of this review highlight the 2D MOFs-based materials used in water remediation and treatment strategies including adsorption and catalysis methods. Further, the prospects and challenges of 2D MOFs-based materials for water treatments applications would be surveyed meticulously for the future research and development.
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Affiliation(s)
- Jiadi Liu
- Jiangsu Key Laboratory of Pesticide Sciences, Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, 210095, P. R. China.,College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, P. R. China
| | - Qingqing Li
- Jiangsu Key Laboratory of Pesticide Sciences, Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, 210095, P. R. China.,College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, P. R. China
| | - Feifei Mao
- Jiangsu Key Laboratory of Pesticide Sciences, Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, 210095, P. R. China
| | - Kuaibing Wang
- Jiangsu Key Laboratory of Pesticide Sciences, Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, 210095, P. R. China
| | - Hua Wu
- Jiangsu Key Laboratory of Pesticide Sciences, Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, 210095, P. R. China.,College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, P. R. China
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17
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Tuholske C, Halpern BS, Blasco G, Villasenor JC, Frazier M, Caylor K. Mapping global inputs and impacts from of human sewage in coastal ecosystems. PLoS One 2021; 16:e0258898. [PMID: 34758036 PMCID: PMC8580218 DOI: 10.1371/journal.pone.0258898] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 10/07/2021] [Indexed: 11/19/2022] Open
Abstract
Coastal marine ecosystems face a host of pressures from both offshore and land-based human activity. Research on terrestrial threats to coastal ecosystems has primarily focused on agricultural runoff, specifically showcasing how fertilizers and livestock waste create coastal eutrophication, harmful algae blooms, or hypoxic or anoxic zones. These impacts not only harm coastal species and ecosystems but also impact human health and economic activities. Few studies have assessed impacts of human wastewater on coastal ecosystems and community health. As such, we lack a comprehensive, fine-resolution, global assessment of human sewage inputs that captures both pathogens and nutrient flows to coastal waters and the potential impacts on coastal ecosystems. To address this gap, we use a new high-resolution geospatial model to measure and map nitrogen (N) and pathogen-fecal indicator organisms (FIO)-inputs from human sewage for ~135,000 watersheds globally. Because solutions depend on the source, we separate nitrogen and pathogen inputs from sewer, septic, and direct inputs. Our model indicates that wastewater adds 6.2Tg nitrogen into coastal waters, which is approximately 40% of total nitrogen from agriculture. Of total wastewater N, 63% (3.9Tg N) comes from sewered systems, 5% (0.3Tg N) from septic, and 32% (2.0Tg N) from direct input. We find that just 25 watersheds contribute nearly half of all wastewater N, but wastewater impacts most coastlines globally, with sewered, septic, and untreated wastewater inputs varying greatly across watersheds and by country. Importantly, model results find that 58% of coral and 88% of seagrass beds are exposed to wastewater N input. Across watersheds, N and FIO inputs are generally correlated. However, our model identifies important fine-grained spatial heterogeneity that highlight potential tradeoffs and synergies essential for management actions. Reducing impacts of nitrogen and pathogens on coastal ecosystems requires a greater focus on where wastewater inputs vary across the planet. Researchers and practitioners can also overlay these global, high resolution, wastewater input maps with maps describing the distribution of habitats and species, including humans, to determine the where the impacts of wastewater pressures are highest. This will help prioritize conservation efforts.Without such information, coastal ecosystems and the human communities that depend on them will remain imperiled.
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Affiliation(s)
- Cascade Tuholske
- Department of Geography, University of California, Santa Barbara, CA, United States of America
- National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara, CA, United States of America
- Center for International for International Earth Science Information Network, the Columbia Climate School and its Earth Institute, Columbia University, Palisades, NY, United States of America
- * E-mail:
| | - Benjamin S. Halpern
- National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara, CA, United States of America
- Bren School of Environmental Science & Management, University of California, Santa Barbara, CA, United States of America
| | - Gordon Blasco
- National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara, CA, United States of America
| | - Juan Carlos Villasenor
- Bren School of Environmental Science & Management, University of California, Santa Barbara, CA, United States of America
| | - Melanie Frazier
- National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara, CA, United States of America
| | - Kelly Caylor
- Department of Geography, University of California, Santa Barbara, CA, United States of America
- Bren School of Environmental Science & Management, University of California, Santa Barbara, CA, United States of America
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18
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Ruprecht JE, Birrer SC, Dafforn KA, Mitrovic SM, Crane SL, Johnston EL, Wemheuer F, Navarro A, Harrison AJ, Turner IL, Glamore WC. Wastewater effluents cause microbial community shifts and change trophic status. WATER RESEARCH 2021; 200:117206. [PMID: 34022631 DOI: 10.1016/j.watres.2021.117206] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 06/12/2023]
Abstract
Widespread wastewater pollution is one of the greatest challenges threatening the sustainable management of rivers globally. Understanding microbial responses to gradients in environmental stressors, such as wastewater pollution, is crucial to identify thresholds of community change and to develop management strategies that protect ecosystem integrity. This study used multiple lines of empirical evidence, including a novel combination of microbial ecotoxicology methods in the laboratory and field to link pressure-stressor-response relationships. Specifically, community-based whole effluent toxicity (WET) testing and environmental genomics were integrated to determine real-world community interactions, shifts and functional change in response to wastewater pollution. Here we show that wastewater effluents above moderate (>10%) concentrations caused consistent significant shifts in bacterial community structure and function. These thresholds of community shifts were also linked to changes in the trophic state of receiving waters in terms of nutrient concentrations. Differences in the community responses along the effluent concentration gradient were primarily driven by two globally relevant bacterial indicator taxa, namely Malikia spp. (Burkholderiales) and hgcI_clade (Frankiales). Species replacement occurred above moderate effluent concentrations with abundances of Malikia spp. increasing, while abundances of hgcI_clade decreased. The responses of Malikia spp. and hgcI_clade matched gene patterns associated with globally important nitrogen cycling pathways, such as denitrification and nitrogen fixation, which linked the core individual taxa to putative function and ecosystem processes, rarely achieved in previous studies. This study has identified potential indicators of change in trophic status and the functional consequences of wastewater pollution. These findings have immediate implications for both the management of environmental stressors and protection of aquatic ecosystems.
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Affiliation(s)
- J E Ruprecht
- Water Research Laboratory, School of Civil & Environmental Engineering, UNSW Sydney, NSW 2052, Australia.
| | - S C Birrer
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, NSW 2052, Australia.
| | - K A Dafforn
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, NSW 2052, Australia; Department of Earth and Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - S M Mitrovic
- Freshwater and Estuarine Research Group, School of Life Sciences, University of Technology Sydney, Australia
| | - S L Crane
- Ferrari Lab, School of Biotechnology and Biomolecular Sciences, UNSW Sydney, NSW 2052, Australia
| | - E L Johnston
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, NSW 2052, Australia
| | - F Wemheuer
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, NSW 2052, Australia
| | - A Navarro
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, NSW 2052, Australia
| | - A J Harrison
- Water Research Laboratory, School of Civil & Environmental Engineering, UNSW Sydney, NSW 2052, Australia
| | - I L Turner
- Water Research Laboratory, School of Civil & Environmental Engineering, UNSW Sydney, NSW 2052, Australia
| | - W C Glamore
- Water Research Laboratory, School of Civil & Environmental Engineering, UNSW Sydney, NSW 2052, Australia
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19
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Zhang J, Du YN, Zhang GS, Chang Y, Zhou YC, Zhang ZF, Wu Y, Chen JW, Zhang AY, Zhu ZY, Liu SM. Increases in the seaward river flux of nutrients driven by human migration and land-use changes in the tide-influenced delta. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 761:144501. [PMID: 33360130 DOI: 10.1016/j.scitotenv.2020.144501] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 12/07/2020] [Accepted: 12/09/2020] [Indexed: 06/12/2023]
Abstract
Most large megacities are located on areas adjacent to tide-influenced deltas. However, contribution of megacities to seaward nutrient fluxes in tide-influenced deltas are poorly quantified in regional and global levels. We analyzed nutrient concentrations and water current data for a large and tide-influenced delta, the Changjiang (Yangtze River) since 1980. Concentrations, species ratios and fluxes of nutrients in tide-influenced delta has been found to differ dramatically from those at upstream. Over the period 2004 to 2015, the seaward nutrient fluxes of dissolved inorganic nitrogen and dissolved silica increased by 5%-10%, but dissolved inorganic phosphorus increased by 15%-20%, in the tide-influenced delta of the Changjiang. Consequently, the DIP/DIN decreases by 11% and DIP/DSi increases by 14% at the river mouth relative to those farther upstream the tidal limit. The legacy and/or recycled contribution accounts for 10%-30% of this increased nutrient flux, hence additional sources are predominantly those involving anthropogenic land-use changes. These findings have implications not only for the Changjiang but also for other riverine systems with respect to management strategy. Nutrient dynamics in tide-influenced deltas near urban areas should receive increased research and policy attention. By not considering nutrient sources in tide-influenced deltas, knowledge of the seaward fluxes and species ratios of nutrients from land sources is incomplete and can be biased, to the point that assessments of their impacts on adjacent marine environments may be inaccurate and mitigation policies therefore ineffective.
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Affiliation(s)
- Jing Zhang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 3663 Zhongshan Road North, Shanghai 200062, China.
| | - Ya Nan Du
- Yangtze River Estuary Survey Bureau of Hydrology and Water Resource, Changjiang Water Resources Commission, 2412 Pudong Avenue, Shanghai 200136, China
| | - Guo Sen Zhang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 3663 Zhongshan Road North, Shanghai 200062, China
| | - Yan Chang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 3663 Zhongshan Road North, Shanghai 200062, China
| | - Ying Chun Zhou
- KLATASDS-MOE, School of Statistics, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
| | - Zai Feng Zhang
- Nantong Environmental Monitoring Center, Ministry of Ecology and Environment, 18 Qingnian Middle Road, Nantong 226006, China
| | - Ying Wu
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 3663 Zhongshan Road North, Shanghai 200062, China
| | - Jia Wei Chen
- KLATASDS-MOE, School of Statistics, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
| | - An Yu Zhang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 3663 Zhongshan Road North, Shanghai 200062, China
| | - Zhuo Yi Zhu
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 3663 Zhongshan Road North, Shanghai 200062, China
| | - Su Mei Liu
- Key Laboratory of Marine Chemistry Theory and Technology, Ocean University of China, 238 Songling Road, Qingdao 266100, China
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20
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Ha NT, Nguyen HQ, Truong NCQ, Le TL, Thai VN, Pham TL. Estimation of nitrogen and phosphorus concentrations from water quality surrogates using machine learning in the Tri An Reservoir, Vietnam. ENVIRONMENTAL MONITORING AND ASSESSMENT 2020; 192:789. [PMID: 33241485 DOI: 10.1007/s10661-020-08731-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 11/03/2020] [Indexed: 06/11/2023]
Abstract
Surface water eutrophication due to excessive nutrients has become a major environmental problem around the world in the past few decades. Among these nutrients, nitrogen and phosphorus are two of the most important harmful cyanobacterial bloom (HCB) drivers. A reliable prediction of these parameters, therefore, is necessary for the management of rivers, lakes, and reservoirs. The aim of this study is to test the suitability of the powerful machine learning (ML) algorithm, random forest (RF), to provide information on water quality parameters for the Tri An Reservoir (TAR). Three species of nitrogen and phosphorus, including nitrite (N-NO2-), nitrate (N-NO3-), and phosphate (P-PO43-), were empirically estimated using the field observation dataset (2009-2014) of six surrogates of total suspended solids (TSS), total dissolved solids (TDS), turbidity, electrical conductivity (EC), chemical oxygen demand (COD), and biochemical oxygen demand (BOD5). Field data measurement showed that water quality in the TAR was eutrophic with an up-trend of N-NO3- and P-PO43- during the study period. The RF regression model was reliable for N-NO2-, N-NO3-, and P-PO43- prediction with a high R2 of 0.812-0.844 for the training phase (2009-2012) and 0.888-0.903 for the validation phase (2013-2014). The results of land use and land cover change (LUCC) revealed that deforestation and shifting agriculture in the upper region of the basin were the major factors increasing nutrient loading in the TAR. Among the meteorological parameters, rainfall pattern was found to be one of the most influential factors in eutrophication, followed by average sunshine hour. Our results are expected to provide an advanced assessment tool for predicting nutrient loading and for giving an early warning of HCB in the TAR.
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Affiliation(s)
- Nam-Thang Ha
- Environmental Research Institute, School of Science, The University of Waikato, Hamilton, 3216, New Zealand
- Faculty of Fisheries, The University of Agriculture and Forestry, Hue University, Hue, 530000, Vietnam
| | - Hao Quang Nguyen
- Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8572, Japan
| | | | - Thi Luom Le
- Dong Nai Technical Resources and Environment Center, Dong Khoi Street, Tan Hiep Ward, Bien Hoa City, Dong Nai Province, 810000, Vietnam
| | - Van Nam Thai
- Ho Chi Minh City University of Technology (HUTECH), 475A Dien Bien Phu Street, Binh Thanh District, Ho Chi Minh City, 700000, Vietnam
| | - Thanh Luu Pham
- Institute of Tropical Biology, Vietnam Academy of Science and Technology (VAST), 85 Tran Quoc Toan Street, District 3, Ho Chi Minh City, 700000, Vietnam.
- Graduate University of Science and Technology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet Street, Cau Giay district, Hanoi, 100000, Vietnam.
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21
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Improvement in municipal wastewater treatment alters lake nitrogen to phosphorus ratios in populated regions. Proc Natl Acad Sci U S A 2020; 117:11566-11572. [PMID: 32385161 DOI: 10.1073/pnas.1920759117] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Large-scale and rapid improvement in wastewater treatment is common practice in developing countries, yet this influence on nutrient regimes in receiving waterbodies is rarely examined at broad spatial and temporal scales. Here, we present a study linking decadal nutrient monitoring data in lakes with the corresponding estimates of five major anthropogenic nutrient discharges in their surrounding watersheds over time. Within a continuous monitoring dataset covering the period 2008 to 2017, we find that due to different rates of change in TN and TP concentrations, 24 of 46 lakes, mostly located in China's populated regions, showed increasing TN/TP mass ratios; only 3 lakes showed a decrease. Quantitative relationships between in-lake nutrient concentrations (and their ratios) and anthropogenic nutrient discharges in the surrounding watersheds indicate that increase of lake TN/TP ratios is associated with the rapid improvement in municipal wastewater treatment. Due to the higher removal efficiency of TP compared with TN, TN/TP mass ratios in total municipal wastewater discharge have continued to increase from a median of 10.7 (95% confidence interval, 7.6 to 15.1) in 2008 to 17.7 (95% confidence interval, 13.2 to 27.2) in 2017. Improving municipal wastewater collection and treatment worldwide is an important target within the 17 sustainable development goals set by the United Nations. Given potential ecological impacts on biodiversity and ecosystem function of altered nutrient ratios in wastewater discharge, our results suggest that long-term strategies for domestic wastewater management should not merely focus on total reductions of nutrient discharges but also consider their stoichiometric balance.
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22
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Lam KL, Zlatanović L, van der Hoek JP. Life cycle assessment of nutrient recycling from wastewater: A critical review. WATER RESEARCH 2020; 173:115519. [PMID: 32006809 DOI: 10.1016/j.watres.2020.115519] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 01/16/2020] [Accepted: 01/17/2020] [Indexed: 05/09/2023]
Abstract
Recovering resources from wastewater systems is increasingly being emphasised. Many technologies exist or are under development for recycling nutrients such as nitrogen and phosphorus from wastewater to agriculture. Planning and design methodologies are needed to identify and deploy the most sustainable solutions in given contexts. For the environmental sustainability dimension, life cycle assessment (LCA) can be used to assess environmental impact potentials of wastewater-based nutrient recycling alternatives, especially nitrogen and phosphorus recycling. This review aims to evaluate how well the LCA methodology has been adapted and applied for assessing opportunities of wastewater-based nutrient recycling in the form of monomineral, multimineral, nutrient solution and organic solid. We reviewed 65 LCA studies that considered nutrient recycling from wastewater for agricultural land application. We synthesised some of their insights and methodological practices, and discussed the future outlook of using LCA for wastewater-based nutrient recycling. In general, more studies suggested positive environmental outcomes from wastewater-based nutrient recycling, especially when chemical inputs are minimised, and source separation of human excreta is achieved. The review shows the need to improve methodological consistency (e.g., multifunctionality, fertiliser offset accounting, contaminant accounting), ensure transparency of inventory and methods, consider uncertainty in comparative LCA context, integrate up-to-date cross-disciplinary knowledge (e.g., agriculture science, soil science) into LCA models, and consider the localised impacts of recycled nutrient products. Many opportunities exist for applying LCA at various scales to support decisions on wastewater-based nutrient recycling - for instance, performing "product perspective" LCA on recycled nutrient products, integrating "process perspective" LCA with other systems approaches for selecting and optimising individual recovery processes, assessing emerging nutrient recovery technologies and integrated resource recovery systems, and conducting systems analysis at city, national and global level.
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Affiliation(s)
- Ka Leung Lam
- Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN, Delft, the Netherlands.
| | - Ljiljana Zlatanović
- Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN, Delft, the Netherlands; Amsterdam Institute for Advanced Metropolitan Solutions, Kattenburgerstraat 5, 1018 JA, Amsterdam, the Netherlands
| | - Jan Peter van der Hoek
- Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN, Delft, the Netherlands; Amsterdam Institute for Advanced Metropolitan Solutions, Kattenburgerstraat 5, 1018 JA, Amsterdam, the Netherlands; Waternet, Korte Ouderkerkerdijk 7, 1096 AC, Amsterdam, the Netherlands
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23
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Leyva-Díaz JC, Monteoliva-García A, Martín-Pascual J, Munio MM, García-Mesa JJ, Poyatos JM. Moving bed biofilm reactor as an alternative wastewater treatment process for nutrient removal and recovery in the circular economy model. BIORESOURCE TECHNOLOGY 2020; 299:122631. [PMID: 31902639 DOI: 10.1016/j.biortech.2019.122631] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 12/12/2019] [Accepted: 12/15/2019] [Indexed: 06/10/2023]
Abstract
Over the last years, an increasing concern has emerged regarding the eco-friendly management of wastewater. Apart from the role of wastewater treatment plants (WWTPs) for wastewater and sewage sludge treatment, the increasing need of the recovery of the resources contained in wastewater, such as nutrients and water, should be highlighted. This would allow for transforming a wastewater treatment plant (WWTP) into a sustainable technological system. The objective of this review is to propose a moving bed biofilm reactor (MBBR) as a novel technology that contributes to the circularity of the wastewater treatment sector according to the principles of circular economy. In this regard, this paper aims to consider the MBBR process as the initial step for water reuse, and nutrient removal and recovery, within the circular economy model.
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Affiliation(s)
- J C Leyva-Díaz
- Department of Chemical and Environmental Engineering, University of Oviedo, 33006 Oviedo, Spain.
| | - A Monteoliva-García
- Department of Civil Engineering, University of Granada, 18071 Granada, Spain
| | - J Martín-Pascual
- Department of Civil Engineering, University of Granada, 18071 Granada, Spain
| | - M M Munio
- Department of Chemical Engineering, University of Granada, 18071 Granada, Spain
| | - J J García-Mesa
- Department of Chemical Engineering, University of Granada, 18071 Granada, Spain
| | - J M Poyatos
- Department of Civil Engineering, University of Granada, 18071 Granada, Spain
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Pan YR, Wang X, Ren ZJ, Hu C, Liu J, Butler D. Characterization of implementation limits and identification of optimization strategies for sustainable water resource recovery through life cycle impact analysis. ENVIRONMENT INTERNATIONAL 2019; 133:105266. [PMID: 31655277 DOI: 10.1016/j.envint.2019.105266] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 10/02/2019] [Accepted: 10/13/2019] [Indexed: 06/10/2023]
Abstract
How we manage alternative freshwater resources to close the gap between water supply and demand is pivotal to the future of the environment and human well-being. Increased scarcity of water for agricultural irrigation in semi-arid and arid regions has resulted in a growing interest in water reuse practices. However, insight into the life cycle impacts and potential trade-offs of these emerging practices are still limited by the paucity of systematic evaluations of different water reuse implementations. In this study, a host of environmental and human health impacts at three implementation levels of allowing water reclamation for crop irrigation was comparatively evaluated across the operational landscape via a combination of scenario modelling, life-cycle impact analyses and Monte Carlo simulations. Net harvesting of reclaimed water for irrigation was found to be dependent upon the sophistication of the treatment processes, since multistage and complex configurations can cause greater direct water consumption during processing. Further, the direct benefits of water resource recovery can be essentially offset by indirect adverse impacts, such as mineral depletion, global warming, ozone depletion, ecotoxicity, and human health risks, which are associated with increased usage of energy and chemicals for rigorous removal of contaminants, such as heavy metals and contaminants of emerging concern. Nonetheless, expanded simulations suggest the significance of concurrently implementing energy recovery, nutrient recycling, and/or nature-based, chemical-free water technologies to reduce the magnitude of negative impacts from engineered water reclamation processes.
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Affiliation(s)
- Yi-Rong Pan
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China; Yangtze River Delta Branch, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Yiwu 322000, China
| | - Xu Wang
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Yangtze River Delta Branch, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Yiwu 322000, China; State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Centre for Water Systems, Department of Engineering, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, United Kingdom.
| | - Zhiyong Jason Ren
- Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, United States
| | - Chengzhi Hu
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Junxin Liu
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - David Butler
- Centre for Water Systems, Department of Engineering, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, United Kingdom
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