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Comprehensive assessment of water and sediment quality to support sustainable management practices and mitigate potential risks of trace metal pollution in the Johor River Basin, South Peninsular Malaysia

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Ecohydrology and Hydrobiology 2025年第2期25卷 315-329页

作者： Mazilamani, Lelavathy S. Annammala, Kogila V. Martin, Patrick Qi, Liang Y. Sugumaran, Dhinesh Ling, Yong E. Reynard, P.S. Nurhidayat, Agus Syawal, Muhamad S. Sutapa, Ignasius D.A. Department of Water & Environmental Engineering Faculty of Civil Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia Disaster Preparedness and Prevention Centre Universiti Teknologi Malaysia Kuala Lumpur Malaysia Asian School of the Environment Nanyang Technological University Singapore Centre of Environmental Sustainability & Water Security (IPASA) Research Institute for Sustainable Environment (RISE) Universiti Teknologi Malaysia Johor Bahru Malaysia Faculty of Engineering – Industrial Engineering International Study Program University of Indonesia Indonesia Asia Pacific Centre for Ecohydrology (APCE) – UNESCO C2C Indonesia Research Centre for Limnology and Water Resources – NRIA Indonesia Faculty of Environmental Science and Technology – Soegijapranata Catholic University (SCU) Semarang Indonesia

Human activities have caused concerns over the contamination of trace elements in aquatic systems due to their toxicity, long-lasting nature, and ability to accumulate in living organisms. This study evaluated the spatial pattern, environmental hazard, and potential health hazard of 13 trace metals in water and sediment samples collected from the Johor River basin using multivariate statistical techniques in order to identify the impact of both natural and human-related factors on the presence of trace metals in the area. The increased levels of metals in Station S1 indicated a significant impact from municipal, domestic, and industrial waste. The Geo-accumulation Index (I_geo) values for pollution and ecological indices in the sediment of the Johor River Basin ranged from -9.44 to 6.27. The Pollution Load Index (PLI) values ranged from 0.05 to 0.18, and the Potential Ecological Risk Assessment (RI) values ranged from 2.15 to 11.18. These results indicate that the sediments in the Johor River Basin have a low risk of contamination from trace metals. The water's hazard quotient (HQ) had an average value of 0.0001, while the hazard index (HI) had an average value of 0.0003. It is important to increase stakeholders' understanding and concerns regarding the potential long-term human health and ecological implications associated with trace metals in Johor River water. The results of this study offer essential initial information for government entities to implement sustainable management strategies, reducing the likelihood of future trace metal contamination issues in the Johor River basin and similar regions. © 2024 European Regional Centre for Ecohydrology of the Polish Academy of Sciences

关键词： Health assessment Johor river basin Multivariate analysis Sediment quality Trace metals Water quality

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Polyacrylamide hydrogel containing rice husk ash as internal curing agent in mortar/concrete

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Journal of Molecular Liquids 2025年 423卷

作者： de Almeida, Edson Araujo Kruger, Fábio Rodrigo Valderrama, Patrícia da Silva Gonzalez, Regiane Muniz, Edvani Curti Chemistry Postgraduation Program Chemistry Department State University of Maringá – UEM Paraná Maringá87020-90 Brazil Civil Engineering Department Federal University of Technology – Paraná – UTFPR-CM Paraná Campo Mourão87301-899 Brazil Chemistry Department Federal University of Technology – Paraná – UTFPR-CM Paraná Campo Mourão87301-899 Brazil Food Postgraduation Program Federal University of Technology – Paraná – UTFPR-CM PR Campo Mourão87301-899 Brazil Materials Science and Engineering Postgraduation Program Federal University of Technology – Paraná – UTFPR-LD PR Londrina86036-370 Brazil Chemistry Postgraduation Program Chemistry Department Federal University of Piauí – UFPI Piauí Teresina64049-550 Brazil

Internal curing is a process based on the addition of materials that work as water reservoirs in cementitious media. Their function is to minimize the effect of water lost through evaporation and self-desiccation that occurs during curing. Hydrogels are polymeric materials that have the ability of absorbing and retaining water and releasing it in a gradual and sustained way. In this work, polyacrylamide hydrogel containing rice husk ash (PAAm/RHA) was synthesised and applied in mortar and concrete formulations. The aim was to study the influence of this material on the hydration process and on the final properties of such cementitious materials. The results indicated that the addition of as prepared composite hydrogel improved the mechanical strength and reduced shrinkage in the mortar in 23%;however, its application in concrete led to a reduction of 7.1% in the mechanical strength. Despite this, it can be postulated that the developed hydrogel acts satisfactorily for internal curing in cementitious materials. To the best of our knowledge, it is the first time that hydrogel formulation uses rice husk ash (RHA) and crosslinked polyacrylamide to be used as curing agent for mortars and concrete. Beyond the technological use of composite hydrogel as curing agent, the methodology is also interesting because rice husk ash, as by-product from rice agro-industries, was used. So, it should be seen also as a contribution for environment. © 2025 Elsevier B.V.

关键词： Mortar

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Harnessing machine learning for transmembrane pressure prediction in MBR systems during textile wastewater treatment

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Desalination and Water Treatment 2025年 322卷

作者： Zahoor, Onaira Khan, Sher Jamal Usama, Muhammad Tanudjaja, Henry J. Ghaffour, Noreddine Nawaz, Muhammad Saqib Institute of Environmental Sciences and Engineering (IESE) School of Civil and Environmental Engineering (SCEE) National University of Sciences and Technology (NUST) Sector H-12 Islamabad Pakistan Department of Civil and Environmental Engineering Northeastern University Boston 02115 MA United States Environmental Science and Engineering Program Division of Biological and Environmental Science and Engineering (BESE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia

Membrane Bioreactors (MBRs) are preferred for treating high-strength industrial wastewater due to their exceptional treatment efficiency and compact design. However, membrane fouling remains a significant challenge that limits their broader application. Since transmembrane pressure (TMP) is closely associated with membrane fouling mechanisms, its accurate prediction is essential for anticipating fouling events. This study focuses on predicting TMP in a bench-scale MBR by employing advanced regression models such as Lasso, support vector machines, and random forest. The bioreactor is operated using synthetic textile wastewater, with a primary focus on critical sludge parameters. A total of 60 datasets were compiled for training and testing of the models. The random forest model attained an R² of 0.95 and 0.86 and root mean square error values of 1.75 kPa and 3.3 kPa for the training and test datasets, respectively, demonstrating the best predictive accuracy. Extra polymeric substances were the most influential parameter, while particle size distribution was the least. The random forest and lasso regression models predicted high values more accurately, while the support vector regression model was inclined towards making more conservative predictions for extreme values. The effectiveness of the proposed models showcases the significance of utilizing machine learning in advancing MBR technology for wastewater treatment. Accurate TMP predictions through machine learning can help in maintaining key parameters within optimal ranges, thereby reducing the likelihood of membrane fouling and enhancing system efficiency. © 2025 The Authors

关键词： Extra polymeric substances Machine learning models Membrane bioreactor Textile wastewater treatment Transmembrane pressure

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Microplastic removal and management strategies for wastewater treatment plants

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Chemosphere 2024年 347卷 140648页

作者： Ahmed, Shams Forruque Islam, Nafisa Tasannum, Nuzaba Mehjabin, Aanushka Momtahin, Adiba Chowdhury, Ashfaque Ahmed Almomani, Fares Mofijur, M. Science and Math Program Asian University for Women Chattogram4000 Bangladesh School of Engineering and Technology Central Queensland University RockhamptonQLD4702 Australia Centre for Intelligent Systems Clean Energy Academy Central Queensland University RockhamptonQLD4702 Australia Department of Chemical Engineering Collage of Engineering Qatar University Qatar Centre for Technology in Water and Wastewater School of Civil and Environmental Engineering University of Technology Sydney UltimoNSW2007 Australia School of Biological Sciences Georgia Institute of Technology AtlantaGA30332 United States

Discharging microplastics into the environment with treated wastewater is becoming a major concern around the world. Wastewater treatment plants (WWTPs) release microplastics into terrestrial and aquatic habitats, mostly from textile, laundry, and cosmetic industries. Despite extensive research on microplastics in the environment, their removal, and WWTP management strategies, highlighting their environmental effects, little is known about microplastics' fate and behaviour during various treatment processes. Microplastics interact with treatment technologies differently due to their diverse physical and chemical characteristics, resulting in varying removal efficiency. Microplastics removed from WWTPs may accumulate in soil and harm terrestrial ecosystems. Few studies have examined the cost, energy use, and trade-offs of large-scale implementation of modern treatment methods for the removal of microplastics. To safeguard aquatic and terrestrial habitats from microplastics' contamination, focused and efficient management techniques must bridge these knowledge gaps. This review summarizes microplastic detection, collection, removal and management strategies. A compilation of treatment process studies on microplastics’ removal efficiency and their destiny and transit paths shows recent improvement. Bioremediation, membrane bioreactor (MBR), electrocoagulation, sol-gel technique, flotation, enhanced filtering, and AOPs are evaluated for microplastic removal. The fate and behaviour of microplastics in WWTPs suggest they may be secondary suppliers of microplastics to receiving ecosystems. Innovative microplastic removal strategies and technologies such as nanoparticles, microorganism-based remediation, and tertiary treatment raise issues. These new WWTP technologies are examined for feasibility, limitations, and implementation issues. Pretreatment modifies microplastic size, adsorption potential, and surface morphology to remove microplastics from WWTPs. Membrane bioreact

关键词： Wastewater treatment

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Study of Machine Learning Techniques for Damage Identification in a Beam 10th

Study of Machine Learning Techniques for Damage Identifica...

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10th International Conference on Wave Mechanics and Vibrations, WMVC 2022

作者： da Silva Coelho, Jefferson de Sousa, Amanda Aryda Silva Rodrigues Machado, Marcela Rodrigues Dutkiewicz, Maciej Department of Mechanical Engineering University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília Brazil Post-Graduate Program - Integrity of Engineering Materials University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília70910-900 Brazil Faculty of Civil Environmental Engineering and Architecture University of Science and Technology Bydgoszcz85-796 Poland

ISBN: (纸本)9783031157578

Damage is defined as any change to the material, geometry or boundary condition that can modify the structure’s properties or response. In the past, damage identification was performed through periodical inspection, non-destructive testing/non-destructive evaluation, or visual observation. Structural health monitoring (SHM) has emerged to transition from offline damage identification to near real-time and online damage assessment. Hence, SHM is a damage detection strategy to monitor a structure for a period using a series of continuous measurement devices, which then collect the system’s characteristics and subsequently perform statistical analysis to assess the current circumstances and health of the structure. One of the first steps for the study of SHM is damage detection followed by monitoring. Machine Learning (ML) techniques can be used to develop viable algorithms to make potential predictions. ML algorithms are therefore providing the tools needed to enhance the capabilities of SHM systems and provide intelligent solutions to past challenges. Preliminary studies have reviewed that the extension of ML into SHM has dramatically increased the system’s capabilities, providing innovative solutions to different research challenges. This work conducts a study of the use of ML to identify damage in a beam and discuss the challenge of usage, performance and implementation of each technique. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Decision trees

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Assessment of groundwater quality from monitoring wells in an area occupied by a cemetery in South Brazil

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Arabian Journal of Geosciences 2024年第6期17卷 1-10页

作者： Fernandes, Gabriel D’ávila de Borba, Willian Fernando Vecchia, Paula Dalla Mortari, Sérgio Roberto Duarte, Fábio Andrei da Cunha Kemerich, Pedro Daniel de Souza, Éricklis Edson Boito da Silva, José Luiz Silvério Silva, Milene Priebe e da Silva, Mateus Guimarães Wissmann, Joao Pedro Berton Federal University of Santa Maria Postgraduate Program in Civil Engineering (PPGEC) Santa Maria Brazil Federal University of Santa Maria Department of Environmental Engineering and Technology Frederico Westphalen Brazil Federal University of Santa Maria Postgraduate Program in Chemistry Avenida Roraima Santa Maria Brazil Franciscana University Postgraduate Program in Nanosciences Santa Maria Brazil Federal University of Santa Maria Department of Chemistry Santa Maria Brazil Federal University of Santa Maria Department of Geosciences Santa Maria Brazil Federal University of Santa Maria Postgraduate Program in Forestry Engineering (PPGEF) Santa Maria Brazil Federal University of Santa Maria Postgraduate Program in Environmental Engineering (PPGEAmb) Santa Maria Brazil Federal University of Pampa Caçapava do Sul Brazil

The contamination of water resources, surface or underground, is one of the major problems society faces. Thus, areas occupied by cemeteries can negatively impact the environment, especially on water and soil quality. This research aims to analyze groundwater quality in a space occupied by a cemetery in southern Brazil. Twelve chemical elements were analyzed using atomic emission spectrometry with inductively coupled plasma coming from 5 monitoring wells installed in the study area. The results indicated changes in the elements barium, iron, lithium, manganese, sodium, and zinc, with climatic conditions being a predominant factor in the variation of concentrations. The chemical elements aluminum, arsenic, cadmium, cobalt, chromium, copper, nickel, lead, and vanadium presented concentrations lower than the quantification limit of the method. The concentrations of iron, lithium, zinc, and manganese varied from lower than the quantification limit of the method to 74.10, 3.91, 4.11 µg.L-1, and 0.45 mg. L-1, respectively. Barium and sodium varied from 0.12 to 0.28 and 7.55 to 40.18 mg. L-1, respectively. The element sodium presented average concentrations of 7.55 to 40.18 mg.L-1. The element manganese varies the LQ at 0.45 mg.L-1, where in 5 samples, the values were above those allowed for potability, indicating that it disagrees with current legislation. The others, which contained detectable concentrations in the medium (Ba, Fe, Li, Mn, Na, and Zn) would be within the permitted limits. Based on this, it was possible to conclude a change in the chemical elements during the analyzed period. Thus, the importance of preliminary studies in the areas occupied by necropolises, which can become a public health problem, is highlighted.

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Application of sustainable lignin stabilized expansive soils in highway subgrade

Application of sustainable lignin stabilized expansive soils...

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2021 International Foundations Congress and Equipment Expo: Geoenvironmental engineering, Geomaterial Modeling, Transporation Geotechnics, and Case Histories, IFCEE 2021

作者： Sarker, Debojit Shahrear Apu, Omar Kumar, Narendra Wang, Jay X. Lynam, Joan G. Program of Civil Engineering Louisiana Tech Univ. RustonLA United States Dept. of Chemical Engineering Louisiana Tech Univ. RustonLA United States Programs of Civil Engineering and Construction Engineering Technology Louisiana Tech Univ. RustonLA United States

ISBN: (数字)9780784483435

A by-product of the paper and wood industries, lignin is produced abundantly worldwide due to the increasing demand for wood and paper-based products. Improper disposal or storage of lignin is not only a misuse of natural resources but also poses a critical hazard to public health and the environment. Construction of highway subgrade has been identified as one of the feasible responses for consuming vast quantities of lignin to dispose of it in an ecologically sound manner, as it can be a low-cost and less energy-intensive chemical additive for soil stabilization. However, studies on the performance of lignin in stabilizing expansive soils in highway subgrade have been very constrained. Volume change resulting from seasonal moisture variations in expansive soil subgrades damages existing highways and complicates highway construction in expansive soil areas. To reduce expansive soil-induced geological disasters and utilize waste resources, the use of lignin could potentially be a sustainable solution for soil stabilization. In this research, a series of multi-scale laboratory tests were conducted to examine the Atterberg limits, the compaction and consolidation behavior, and the Fourier-transform infrared spectroscopy (FTIR) characteristics of lignin-stabilized expansive soils. The study reveals that the degree of lignin content impacts the physical, mechanical, and microstructural properties of the stabilized expansive soil. From the compression index (Cc) and swelling index (Cs) values, it was concluded that a satisfactory level of soil stabilization could be achieved by the application of an optimum percentage of lignin. The lignin-based cementing material bonds soil particles firmly together and fills the pores to produce a progressively steady soil structure. © ASCE.

关键词： Fourier transform infrared spectroscopy

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High-Fidelity Numerical Simulations of a Standing-Wave Thermoacoustic Engine

SSRN

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SSRN 2023年

作者： Blanc, Nathan Laufer, Michael Frankel, Steven Ramon, Guy Z. Grand Technion Energy Program Haifa32000 Israel Faculty of Civil and Environmental Engineering Techniom Haifa32000 Israel Faculty of Mechanical Engineering Technion Haifa32000 Israel Technion - Israel Institute of Technology

Thermoacoustic devices, in which heat fluxes and pressure waves are converted from one to the other, are a promising class of energy conversion, particularly as heat-driven heat pumps. However, accurate simulation and performance prediction of these devices is a major challenge on the path to better understanding and improved ***, 2D simulations of a high-amplitude standing wave thermoacoustic engine are reported, based on the high-fidelity software PyFR. The performed simulations are validated against both computational and experimental results reported in the literature, exhibiting a deviation of less than 9% between the calculated and experimentally measured pressure amplitude, more than twice as accurate as previously reported calculations. Further, non-linear effects in the thermoacoustic engine are explored and discussed, including Rayleigh streaming, jet streaming and, importantly, higher-order harmonics. The influence of these effects on engine performance is gauged, with higher-order harmonics shown to cause the greatest reduction in engine performance. Harmonics suppression is then demonstrated, via a simple example, to improve performance and, in the present context, greatly reduce the deviation between the linear and non-linear *** work demonstrates the utility of high-order CFD schemes for the analysis of thermoacoustics devices, providing useful insight on the importance of non-linear effects and highlighting the potential benefits of future work along similar lines © 2023, The Authors. All rights reserved.

关键词： Computational fluid dynamics

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Measurement analysis of the level of household preparedness for facing landslide in Bogor regency 2

Measurement analysis of the level of household preparedness ...

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2nd International Conference on Disaster and Management 2020, ICDM 2020

作者： Saputra, P.D. Rahmawati, C. Purnomo, K.S.H. Larosa, E. Nurhasanah Military Building Construction Engineering Study Program Faculty of Military Engineering Indonesia Defense University Bogor Indonesia Industrial Engineering Department Faculty of Industrial Technology Universitas Dirgantara Marsekal Suryadarma Jakarta Indonesia Master of Management Program Universitas Teknologi Yogyakarta Yogyakarta Indonesia Mechanical Engineering Education Faculty of Teacher Training and Education Universitas Negeri Yogyakarta Yogyakarta Indonesia Civil Engineering Study Program School of Engineering and Technology Tanri Abeng University Jakarta Indonesia

There are so many areas in Indonesia that are prone to landslides. Bogor is the regency with the most frequent landslides. Therefore, high community preparedness is needed to deal with the landslide, especially at the household level because it is the spearhead of preparedness and influence disaster risk. The objective of this research is to measure and analyze the level of household preparedness for facing landslide. The location of this research is in Cibadak Village, Bogor regency where a landslide disaster had happened. This is a quantitative research. The number of the samples were 100 household. Data collection was done by surveying samples and distributing questionnaires. The data would be analyzed with descriptive analysis, and the results of level of household preparedness would be categorized to five levels which were very prepared (80-100), prepared (65-79), almost prepared (55-64), less prepared (40-54), and not prepared (0-39). The results of the research are the average index value of Knowledge and Attitude (KA) parameter is 66.77, Emergency Planning (EP) parameter is 52.24, Warning System (WS) parameter is 64.80, Resources Mobilization Capacity (RMC) parameter is 51.25 and the level of household preparedness for facing landslide is 59.26 or and it is significant at the almost prepared level. © Published under licence by IOP Publishing Ltd.

关键词： Landslides

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Review of mayflies (Insecta Ephemeroptera) as a bioindicator of heavy metals and microplastics in freshwater

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Science of the Total Environment 2025年 958卷 178057页

作者： Benhadji, Nadhira Kurniawan, Setyo Budi Imron, Muhammad Fauzul Institute of Technology and Life Sciences—National Research Institute Falenty Hrabska Avenue 3 Raszyn05-090 Poland Department of Chemical and Process Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Selangor UKM Bangi43600 Malaysia Study Program of Environmental Engineering Department of Biology Faculty of Science and Technology Universitas Airlangga Campus C UNAIR Jalan Mulyorejo Surabaya60115 Indonesia Department of Water Management Faculty of Civil Engineering and Geosciences Delft University of Technology Stevinweg 1 CN Delft2628 Netherlands

Heavy metal and microplastic pollutions are prevalent in freshwater ecosystems, with many freshwater bodies being contaminated by one or both of these pollutants. Recent studies reported extreme detections of Cd, Pb and Zn, high concentrations of Cr, Pb and Cu and microplastics acting as vectors of pollutants, including heavy metals. Mayflies can serve as bioindicators of heavy metal contamination in freshwater ecosystems because changes in their community structure, physiology, and behaviour can reflect and help predict the concentrations of metals in these environments. This review discusses the ecological alterations induced by tissue metal concentration in mayflies and other macroinvertebrates. As sensitive taxa to heavy metal contamination, mayflies can reflect the impacts of this pollution through their ethology and relationship to the substrate, highlighting issues such as eutrophication, alterations in community structure, inhibitory effects and sediment toxicity. Mayflies are also highly affected by microplastic exposure, which leads to ingestion, bioaccumulation, biomagnification, habitat and community alteration, behavioural changes, physiology alteration and toxicity. Mayflies bioindication metrics for assessing the impact of heavy metals and microplastics include the examination of community alteration, functional feeding behaviour, molecular structure, dietary and toxicity impacts, bioaccumulation and biomagnification and biomarkers. Current challenges for the utilization of mayflies as bioindicators include temporal variations in sensitivity, lack of universally recognised protocols and need for standardised protocols for microplastic analysis. Additionally, the applicability of mayflies as bioindicators may vary across different ecosystems, emphasising the need for selecting suitable indicators that align with the unique characteristics of the ecosystem. © 2024 The Authors

关键词： Macroinvertebrates

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