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Wetting challenges in treatment of raw textile wastewater by membrane distillation: A case study

Case Studies in Chemical and environmental engineering 2025年 11卷

作者： Rodrigues, Mariana E. Cucciniello, Raffaele Farinha, Andreia Vrouwenvelder, Johannes Fortunato, Luca Biological & Environmental Science & Engineering Division (BESE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Environmental Science & Engineering Program (EnSE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Dipartimento di Chimica e Biologia Università di Salerno Via Papa Paolo Giovanni II Fisiciano SA 84100 Italy Department of Biotechnology Faculty of Applied Sciences Delft University of Technology Van der Maasweg 9 HZ Delft 2629 Netherlands Department of Civil Building and Environmental Engineering University of Napoli Federico II Via Claudio 21 Napoli 80125 Italy

This case study investigated the effectiveness of Direct Contact Membrane Distillation (DCMD) in treating real textile wastewater. Textile wastewater treatment presents a critical challenge in the field of environmental sustainability, requiring innovative approaches for its treatment to mitigate adverse impacts on ecosystems. DCMD emerges as a promising solution for the treatment and reuse of textile wastewater. However, the intricate composition of real textile wastewater represents a major bottleneck for the process, as the effectiveness of DCMD is influenced by numerous factors, complicating its application. In this study, experiments with an untreated sample demonstrate the detrimental impact of suspended solids on membrane performance. The application of simple pretreatment steps prior to DCMD, involving sedimentation and filtration, substantially enhanced the quality of the permeate, resulting in 100 % color removal, 99.99 % turbidity removal, and considerable removal rates for Chemical Oxygen Demand (COD) and Total Organic Carbon (TOC). Nevertheless, wetting remained a significant issue, as evidenced by the persistence of commonly used volatile organic contaminants and surfactants in the textile industry detected within the permeate. The findings in this case study reinforce that DCMD holds promise for textile wastewater treatment but emphasize the necessity of pretreatment and wetting mitigation strategies to fully unlock its potential. This research offers crucial insights for future MD applications in addressing the complexities of textile wastewater treatment. © 2025 The Authors

关键词： Direct contact membrane distillation (DCMD) Industrial wastewater reuse Membrane wetting Optical coherence tomography (OCT) Pretreatment strategies Textile wastewater treatment Volatile organic contaminants

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Isolated Pt atoms tethered to N-doped MoSx as highly efficient and sustainable hydrogen evolution reaction electrocatalyst

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Applied Surface science 2023年 614卷

作者： Lee, Ting-Wei Lo, Ying-Chen Wu, Chia-Hua Ho, Cheng-Yuan Alamani, Bryan G. Chen, Jeng-Lung Chen, Chiaying Department of Environmental Engineering National Chung Hsing University Taichung City402 Taiwan Department of Materials Science and Engineering National Yang Ming Chiao Tung University Hsinchu300 Taiwan Department of Chemical Engineering College of Engineering University of the Philippines Diliman Quezon City1101 Philippines Environmental Engineering Program College of Engineering University of the Philippines Diliman Quezon City1101 Philippines National Synchrotron Radiation Research Center Hsinchu30076 Taiwan

In this work, synergistic NH4+ intercalation and nitrogen-containing molecule doping realize a crystalline-to-amorphous (i.e., MoSx) structure transition with enhanced HER reactivity and superior stability obtained via structural distortion and abundant active sites. The applied N dopants partially replace the bridging S22− and form Mo-N bonds, where the alkyl N-dopant tetramethylammonium chloride (TEA) achieves the most effective doping. The HER activity increases with an increasing number of bridging S22− and MoⅤ species, both of which contribute to advance electrocatalytic performance. Furthermore, N-doped MoSx is identified as an exceptional stabilizing platform to anchor single Pt atoms (PtSA) through Pt-S bonding, rendering MoSx/TEA/PtSA a highly promising electrocatalyst. MoSx/TEA/PtSA achieved comparable performance to that of the benchmark Pt/C catalyst (i.e., a cathodic current density of 10 mA·cm−2 at overpotential of 97 mV) with much lower loading of Pt (0.67 wt%). Theoretical calculations based on density functional theory indicate that Pt atoms and Pt-adjacent sulfur atoms act as active sites. The superior interfacial electron transfer and thus HER performance of MoSx/TEA/PtSA arises from (1) boosted electronic metal-support interaction through Pt-S bonds and (2) enhanced H adsorption ability of Pt-adjacent sulfur atoms due to Pt coordination. © 2022 Elsevier B.V.

关键词： Doping (additives)

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Countering the effects of urban green gentrification through nature-based solutions: A scoping review

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Nature-Based Solutions 2024年 5卷

作者： Bressane, Adriano Pinto, Joao Pedro da Cunha Medeiros, Líliam César de Castro São Paulo State University (UNESP) Institute of Science and Technology São José dos Campos city Brazil Graduate Program in Civil and Environmental Engineering São Paulo State University (UNESP) Brazil

Statement of problem: Green gentrification is an emerging issue, where Urban green space (UGS) upgrades lead to higher living costs, displacing lower-income residents, raising concerns about accessibility, sustainability, and equity. This phenomena challenges the inclusive and equitable development of urban environments. Purpose: Through an integrative analysis of existing literature, this study aims to address a significant gap in current research by exploring how Nature-Based Solutions (NbS) can more effectively counteract the adverse effects of UGS gentrification. Method: Utilizing a scoping literature review, the research analyzes articles from 2015 to 2024 to synthesize insights for a more equitable urban development. Results: Findings reveal diverse lessons learned and strategies for countering green gentrification across different urban settings worldwide. However, a significant number of studies predominantly focus on the Global North, primarily in Europe and North America, which may lead to a regional bias. Practical implications: The results provide insights for policymakers, urban planners, and communities, guiding the creation of more inclusive and sustainable urban green spaces. Future directions: Further research should focus on developing quantitative metrics to evaluate the effectiveness of NbS in mitigating urban gentrification and expanding the geographic focus to include more underrepresented regions. © 2024 The Author(s)

关键词： environmental justice Green gentrification Nature-based solutions Review Urban greening

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Emission characteristics of naphthalene from ship exhausts under global sulfur cap

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science of the Total Environment 2023年 902卷 166172页

作者： Yeh, Chin-Ko Tzu, Fu-Ming Chen, Po-Yang Shen, Hsueh-Chen Yuan, Chung-Shin Lin, Chitsan Pu, Han-Pin Ngo, Huu Hao Bui, Xuan-Thanh Department of Marine Engineering National Kaohsiung University of Science and Technology Kaohsiung805301 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung811213 Taiwan Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung811213 Taiwan Institute of Environmental Engineering National Sun Yat-sen University Kaohsiung804201 Taiwan School of Civil and Environmental Engineering University of Technology Sydney SydneyNWS2007 Australia 268 Ly Thuong Kiet Street District 10 Ho Chi Minh City Viet Nam Linh Trung ward Ho Chi Minh City700000 Viet Nam

The global sulfur limit regulation mandates the use of 0.5 % low sulfur fuel oil (LSFO) to reduce emissions of sulfur oxides (SOx), nitrogen oxides (NOx), and particulate matter (PM). However, the addition of naphthalene (Nap) to LSFO to stabilize its quality has led to an increase in polycyclic aromatic hydrocarbons (PAHs), with Nap being the main pollutant. This study investigates the effects of Nap in ship exhaust by analyzing the emission concentrations of volatile organic compounds (VOCs) and Nap in the exhaust of 16 ships, including 2 container ships, 6 bulk carriers, 1 tanker, 2 ferries, 3 fishing vessels, and 2 harbor crafts, based on USEPA method TO-15A. The results show that the percentage of Nap emissions in the exhaust gases of the 16 ship engines ranged from 77 % to 97 % of the total volatile organic compound (TVOC). The Nap concentration in the exhaust of fishing vessels, tanker, and harbor craft exceeded the occupational exposure limit of 50,000 μg/m3, with fishing vessels having the highest TVOC and Nap concentrations. The enhanced Nap emission in the air degrades air quality in port cities and poses an obvious potential public health risk. While the benefits of the global sulfur cap are being secured, additional efforts should be made to reduce the undetected side effects. Alternative stabilizers of LSFO should be considered, or Nap emission control should be boosted to mitigate the potential negative impact on harbor air quality. © 2023 Elsevier B.V.

关键词： Air quality

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Unveiling Processing–Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments

arXiv

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arXiv 2024年

作者： Amiri, Mahsa Foumani, Zahra Zanjani Cao, Penghui Valdevit, Lorenzo Bostanabad, Ramin Materials and Manufacturing Technology Program University of California IrvineCA92697 United States Department of Mechanical and Aerospace Engineering University of California IrvineCA92697 United States Department of Materials Science and Engineering University of California IrvineCA92697 United States Department of Civil and Environmental Engineering University of California IrvineCA92697 United States

Achieving desired mechanical properties in additive manufacturing requires many experiments and a well-defined design framework becomes crucial in reducing trials and conserving resources. Here, we propose a methodology embracing the synergy between high-throughput (HT) experimentation and hierarchical machine learning (ML) to unveil the complex relationships between a large set of process parameters in Laser Powder Bed Fusion (LPBF) and selected mechanical properties (tensile strength and ductility). The HT method envisions the fabrication of small samples for rapid automated hardness and porosity characterization, and a smaller set of tensile specimens for more labor-intensive direct measurement of yield strength and ductility. The ML approach is based on a sequential application of Gaussian processes (GPs) where the correlations between process parameters and hardness/porosity are first learnt and subsequently adopted by the GPs that relate strength and ductility to process parameters. Finally, an optimization scheme is devised that leverages these GPs to identify the processing parameters that maximize combinations of strength and ductility. By founding the learning on larger "easy-to-collect" and smaller "labor-intensive" data, we reduce the reliance on expensive characterization and enable exploration of a large processing space. Our approach is material-agnostic and herein we demonstrate its application on 17-4PH stainless steel. © 2024, CC BY.

关键词： Global positioning system

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Critical evaluation of extracellular polymeric substances extraction methods: Extraction efficiency, molecular characteristics, and heavy metals binding properties

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science of the Total Environment 2025年 959卷 178345页

作者： Ou, Bei Hu, Xueyang Yu, Wenbo Meng, Fanhao Li, Wen Liang, Sha Yuan, Shushan Duan, Huabo Hou, Huijie Xiao, Keke 1037 Luoyu Road Hubei Wuhan430074 China Hubei Provincial Engineering Laboratory of Solid Waste Treatment Disposal and Recycle Technology Hubei Wuhan430074 China Hubei Provincial Research Center of Water Quality Safety and Water Pollution Control Engineering Technology Hubei Wuhan430074 China State Key Laboratory of Coal Combustion Huazhong University of Science and Technology Hubei Wuhan430074 China Environmental Science and Engineering Program Guangdong Technion-Israel Institute of Technology 241 Daxue Road Guangdong Shantou515063 China

Extracellular polymeric substances (EPS) significantly influence the properties and performance of waste activated sludge. Various pretreatment protocols with different extraction efficiency and characteristics of EPS have been reported, which markedly impact subsequent treatment and disposal of sewage sludge. This study systematically assesses the EPS properties from twelve extraction pretreatment methods. The organic and inorganic matters content, cell lysis, basic physicochemical property, molecular weight distribution, and fluorescence properties of extracted EPS were determined. Physical extraction methods (Centrifugation, Heat, and Ultrasound) were relatively mild, resulting in lower extraction of organic matter contents from EPS (3 Da) generation. Chemical extraction methods offered efficient EPS extraction with the different degrees of cell lysis, but it would introduce chemical reagent residues in EPS. Among those extraction methods, EPS extracted by cation exchange resin (CER) method had uniform and abundant molecular weight matters and fluorescence matters distribution. After dialysis, the residual Na and other metal elements could be significantly removed. Then, the fluorescence quenching effect of Cu(II) and Zn(II) at 400 μM on the Bound-EPS after dialysis increased up to the maximum value of 65 % and 30 %, respectively, compared to that without dialysis. It indicates that dialysis coupled with CER extracted EPS has a well extraction efficiency and can maintain the original state of EPS for the subsequent investigation. © 2024 Elsevier B.V.

关键词： Fluorescence quenching

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Estimation of Internal Solitary Waves Propagation Speeds and Occurrence using Long-term Sentinel-1 SAR Data in the Lombok Strait, Indonesia

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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年

作者： Chonnaniyah As-Syakur, Abd. Rahman Raharja, I Made Dharma Osawa, Takahiro Environmental Engineering Program Denpasar Bali80119 Indonesia Udayana University Marine Science Department Faculty of Marine and Fisheries Bukit Jimbaran Campus Bali80361 Indonesia Denpasar Bali80234 Indonesia Yamaguchi Ube755- 8611 Japan

Synthetic Aperture Radar (SAR) data are necessary for ocean observations and useful for detecting internal solitary waves (ISWs). Sentinel-1 provides free and open data access, and offers valuable long-term datasets for ISW studies. The Lombok Strait is well known for its large ISW amplitude in SAR images. This strait is an outflow for the Indonesian Throughflow (ITF), which plays a crucial role in global thermohaline circulation. A nine-year dataset of Sentinel-1 SAR imagery in the Lombok Strait areas was utilized for the first time to analyze the occurrence frequency detection and propagation speed estimation of ISWs. This study proposes combining information from Sentinel-1 images with tidal predictions from a model to estimate the propagation speed of ISWs in the Lombok Strait. Correlation analysis revealed a moderate positive relationship between ISW occurrence and the Indian Ocean Dipole (IOD) index (0.365), while the El Niño-Southern Oscillation (ENSO) index had a negligible influence (-0.006). For ISW propagation speeds, there was moderate negative correlation with ENSO (-0.30) and a weak negative correlation with IOD (-0.18), suggesting that ENSO-related changes in ocean stratification have a stronger impact on ISW propagation. Fast Fourier Transform (FFT) analysis identified a 54-month cycle of ISW occurrence and a 12-month cycle of propagation speed, highlighting the effects of long-term climatic oscillations and seasonal patterns on ISW dynamics. This research demonstrates the utility of remote sensing techniques, such as SAR, in detecting ISW surface signatures, although biases remain compared to in-situ measurements due to limitations in temporal resolution and environmental factors. © 2008-2012 IEEE.

关键词： Fourier analysis

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Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections

arXiv

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arXiv 2024年

作者： Chiang, Chia-Hao Huang, Zheng-Han Liu, Liwen Liang, Hsin-Chien Wang, Yi-Chi Tseng, Wan-Ling Wang, Chao Chen, Che-Ta Wang, Ko-Chih Computer Science and Information Engineering National Taiwan Normal University Taipei116 Taiwan Research Center for Environmental Changes Academia Sinica Taipei116 Taiwan Degree Program in Climate Change and Sustainable Development National Taiwan University Taipei116 Taiwan Department of Earth Science National Taiwan University Taipei116 Taiwan

Human activities accelerate consumption of fossil fuels and produce greenhouse gases, resulting in urgent issues today: global warming and the climate change. These indirectly cause severe natural disasters, plenty of lives suffering and huge losses of agricultural properties. To mitigate impacts on our lands, scientists are developing renewable, reusable, and clean energies and climatologists are trying to predict the extremes. Meanwhile, governments are publicizing resource-saving policies for a more eco-friendly society and arousing environment awareness. One of the most influencing factors is the precipitation, bringing condensed water vapor onto lands. Water resources are the most significant but basic needs in society, not only supporting our livings, but also economics. In Taiwan, although the average annual precipitation is up to 2,500 millimeter (mm), the water allocation for each person is lower than the global average due to drastically geographical elevation changes and uneven distribution through the year. Thus, it is crucial to track and predict the rainfall to make the most use of it and to prevent the floods. However, climate models have limited resolution and require intensive computational power for local-scale use. Therefore, we proposed a deep convolutional neural network with skip connections, attention blocks, and auxiliary data concatenation, in order to downscale the low-resolution precipitation data into high-resolution one. Eventually, we compare with other climate downscaling methods and show better performance in metrics of Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Pearson Correlation, structural similarity index (SSIM), and forecast indicators. Copyright © 2024, The Authors. All rights reserved.

关键词： Climate models

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Utilization of Abandoned Oil Well Logs and Seismic Data for Modeling and Assessing Deep Geothermal Energy Resources: A Case Study of the Hammam Faraun Area, Sinai Peninsula, Egypt

SSRN

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SSRN 2024年

作者： Shawky, Ahmed El-Anbaawy, Mohamed Soliman, Reham Shaheen, Eslam Osman, Osama Hafiez, Hesham Abdel Shallaly, Nahla Geology Department Faculty of Science Cairo University Giza Egypt Environmental Engineering Program Zewail City of Science and Technology 6th of October City Giza Egypt Seashell Energy Services Co. Ltd Cairo Egypt Qarun Petroleum Company New Maadi Cairo Egypt Helwan Cairo Egypt

Hammam Faraun (HF) geothermal site in Egypt shows potential for addressing energy demand and fossil fuel shortages. This study utilizes abandoned oil well logs, seismic data, and surface geology to assess HF geothermal energy *** interpretation identified a significant clysmic fault parallel to Hammam Faraun fault (HFF), named CLB fault. CLB fault along with the HFF, create a renewable geothermal *** revealed two main geothermal reservoirs: the Nubian sandstone reservoir and the Eocene Thebes carbonate reservoir with water saturation values approaching 100%. Corrected borehole temperature data indicated reservoir temperatures of around 120℃ and 140℃ for the Thebes and Nubian reservoirs, *** analysis and stress state provided insights into subsurface fractures. A geomechanical model demonstrated the impact of different stresses and pore pressure on geothermal fluid flow. NE-SW oriented fractures showed a higher dilation tendency due to aquathermal *** integrated conceptual geothermal model suggested a magma chamber beneath HF as the heat source, related to Oligo-Miocene volcanic activity. The breached relay ramp and fault-related open fracture system served as pathways for geothermal *** of the geothermal potential utilized volumetric calculations and Monte Carlo simulation. The estimated hot water volumes were 1.72 km3, 4.242 km3, and 5.332 km3 for the Nubian reservoir in the onshore part, Thebes carbonate reservoir in the offshore part, and Nubian sandstone reservoir in the offshore part, *** results indicate a medium enthalpy resource suitable for electricity generation using a Kalina geothermal power plant. The predicted geothermal power output in HF is promising, with an average power output of 9.64 MW, 21.38 MW, and 43.76 MW for the Nubian reservoir in the onshore part, Thebes reservoir in the offshore part, and Nubian reservoir in the offshore part, respectively. These outputs

关键词： Sandstone

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Mississippi Burning: An Exploration of Community Noise Levels from a Rural Mississippi Community Grappling with Wood Pellet Production Manufacturing

SSRN

引用

SSRN 2024年

作者： Walker, Erica D. Franzen Lee, Nina Nica, C. Barnes, A. Graham, Barbara Martin, K. Community Noise Lab Department of Epidemiology Brown University School of Public Health ProvidenceRI02903 United States Environmental Science PhD Program College of Science Engineering and Technology Jackson State University JacksonMS39217 United States Greater Greener Gloster Project GlosterMS39638 United States

Wood pellets are being touted as a renewable and sustainable form of energy. As a result of this growing popularity, the global wood pellet market is expected to reach $16 billion by 2026. Currently, there are approximately 100 pellet manufacturing plants in the United States, with most of the production occurring in predominantly Black and poor communities in the rural South. At the request of residents concerned about the noise pollution emanating from wood pellet production plants in their community, we carried out a community noise exposure assessment. From August 2023 to March 2024, and working closely with a local community organization we measured a variety of noise metrics in Gloster, a wood pellet impacted city in rural Mississippi, comparing these noise pollution levels to a background community with no wood pellet industrial activity. We observed statistically significant higher levels of A-weighted, C-weighted, and Z-weighted sound in Gloster compared to Mendenhall. These differences persisted across different times of the day and days of the week. When examining the decibel levels for each of the center frequencies of the 1:3 octave band, this pattern persisted. Our preliminary findings suggest that a rural community’s soundscape can be negatively impacted by unchecked wood pellet manufacturing. We argue that the sound level differences in communities impacted by wood pellet manufacturing and those that are not, combined with the strategic placement of wood pellet plants in vulnerable communities in the rural south, may also be an environmental justice issue. © 2024, The Authors. All rights reserved.

关键词： Pelletizing

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