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1st engineering and Science International Conference 2024, ESIC 2024

作者： Desriantomy, D. Siantoni, J. Murniati, M. Department of Civil Engineering Faculty of Engineering Universitas Palangka Raya Kampus UPR Tunjung Nyaho Yos Sudarso Street Kotak Pos 2/PLKUP Palangka Raya Central Kalimantan73111 Indonesia Doctoral Program in Environmental Science Postgraduate Program Universitas Palangka Raya Kampus UPR Tunjung Nyaho Yos Sudarso Street Kotak Pos 2/PLKUP Palangka Raya Central Kalimantan73111 Indonesia

Plastic-based goods are commonly used in daily life, but their waste poses significant environmental challenges due to its durability. This study investigates the use of recycled plastic as an artificial coarse aggregate in asphalt mixtures, specifically assessing the effects of High-Density Polyethylene (HDPE) on Hot Rolled Sheet Wearing Course (HRS-WC) mixtures. The objectives are to evaluate the physical properties of the artificial coarse aggregates, identify the optimal asphalt content and Marshall characteristics, and determine the maximum feasible substitution level for these aggregates. A test specimen (briquette) was produced for the Marshall test to assess the mixture properties. Our findings indicate that the maximum allowable substitution of HDPE plastic in HRS-WC mixtures is 42%. With an optimal asphalt content of 7.30%, HDPE substitution levels of 30%, 35%, 40%, 45%, and 50% yielded the highest stability at 45% (1176.696 kg), the highest VMA at 30% (21.250%), and the highest VIM within specifications at 30% (4.998%). The highest VFB value was observed at 45% (88.767%), while the highest Marshall Quotient was at 30% (364.527 kg/mm). The study recommends a maximum HDPE plastic waste substitution level of 40%, highlighting the potential for using HDPE plastic waste in asphalt mixtures to promote more sustainable construction practices. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Aggregates

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Benoxacor is enantioselectively metabolized by microsomes and cytosol from the human liver

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Emerging Contaminants 2023年第1期9卷 10-19页

作者： Derek Simonsen Jacob Heffelfinger David M.Cwiertny Hans-Joachim Lehmler Department of Occupational and Environmental Health The University of IowaIowa CityIA52242United States Interdisciplinary Graduate Program in Human Toxicology The University of IowaIowa CityIA52242United States IIHR Hydroscience and Engineering The University of IowaIowa CityIA52242United States Department of Civil and Environmental Engineering The University of IowaIowa CityIA52242United States Center for Health Effects of Environmental Contamination The University of IowaIowa CityIA52242United States

Benoxacor is a safener added to current-use herbicide formulations to protect the target crop from herbicidal *** is an emerging environmental contaminant that has been detected in surface waters,raising the possibility of human exposure via drinking *** it is not subject to the same regulations as active pesticide ingredients,its metabolism and toxicity in humans have not been *** we investigate the enantioselective metabolism of benoxacor in human subcellular *** human liver microsomes(pHLM)and cytosol(pHLC)were incubated with racemic benoxacor for up to *** chromatographic analyses were used to measure the enantioselective depletion of *** with and without nicotinamide adenine dinucleotide phosphate(NADPH,co-factor for cytochrome P450 enzymes[CYPs])and pHLC with glutathione(GSH,co-factor for glutathione Stransferases[GSTs])metabolized *** results demonstrate that microsomal CYPs,microsomal carboxylesterase(CESs),and cytosolic GSTs metabolize *** were predicted to have a higher clearance of benoxacor by GSTs than *** and female pHLM incubations with NADPH showed enrichment of the first eluting benoxacor enantiomer(E1-benoxacor).pHLM incubations without NADPH and pHLC incubations with GSH showed an enrichment of the second eluting enantiomer of benoxacor(E2-benoxacor).Our results indicate that human hepatic microsomal and cytosolic enzymes enantioselectively metabolize benoxacor,a fact that needs to be considered when investigating human exposures and toxicities of benoxacor.

关键词： cor metabolism depletion

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Selenocyanate (SeCN-) Removal Using Combined System of TiO2-Photocatalysis and Fe(III)/SiO2 Adsorption {UV-TiO2/[Fe(III)/SiO2]}: SeCN- Complex Destruction and Simultaneous Selenium Species Adsorption

SSRN

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SSRN 2024年

作者： Ahmed, Sameh Vohra, Muhammad S. Aswan University Aswan81542 Egypt Environmental Engineering Program Civil and Environmental Engineering Department King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Dhahran31261 Saudi Arabia

Selenocyanate (SeCN-) species, commonly found in industrial effluents from crude oil refineries and mining operations, present substantial health risks to humans and animals. This study investigates the treatment of selenocyanate-contaminated wastewater using a system combination of TiO2 photocatalysis and Fe(III)/SiO2 binary oxide adsorption {UV-TiO2/[Fe(III)/SiO2]}. The Fe(III)/SiO2 binary oxides were synthesized and characterized using X-ray diffraction (XRD) and Fourier transform infrared (FTIR) spectroscopy. XRD analysis revealed no crystalline Fe-oxide phases, while ATR-FTIR indicated the presence of various Fe and O surface groups on Fe(III)/SiO2. Adsorption studies determined a selenocyanate adsorption capacity of approximately 2.65 mg/g over 96 hours, with isotherm data closely aligning with the Langmuir model. The combined {UV-TiO2/[Fe(III)/SiO2]} system mechanism for selenium removal was elucidated. Hydroxyl radicals generated by TiO2 facilitated the breakdown of the selenocyanate complex, while the resulting selenite and selenate were simultaneously adsorbed by Fe(III)/SiO2 within a 240-minute reaction time. A mathematical model developed using a face-central central composite design-response surface methodology (FCD-RSM) showed significant predictive capability with an insignificant lack of fit. Optimal conditions for selenium removal were determined to be 20 mg/L selenocyanate, 1 g/L TiO2, and 1 g/L Fe(III)/SiO2, at pH 5, within a 240-minute reaction time. Kinetic analysis demonstrated that selenocyanate degradation followed pseudo-first-order kinetics, while total selenium removal adhered to pseudo-second-order kinetics, confirming the proposed removal mechanism. Overall, this integrated approach offers a promising solution for effective selenocyanate remediation in industrial wastewater. © 2024, The Authors. All rights reserved.

关键词： Fourier transform infrared spectroscopy

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Impact of climate change on rainfall erosivity in the Amazon and Cerrado biomes under CMIP6 scenarios

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Journal of Sedimentary Environments 2025年 1-16页

作者： de Mendonça, Leonardo Melo Blanco, Claudio Cruz, Josias da Silva Post-Graduation Program of Civil Engineering Federal University of Pará-PPGEC/ITEC/UFPA Belém Brazil School of Environmental and Sanitary Engineering Federal University of Pará-FAESA/ITEC/UFPA Belém Brazil

The objective of this work is to investigate the impact of Global Warming on the rainfall erosivity factor (R-Factor) in the Amazon and Cerrado biomes, regions with high agricultural productivity in Brazil. Thus, the mean monthly rainfall projected under two climate change scenarios (SSP2-4.5—intermediate and SSP5-8.5—most pessimistic) was used, based on the Multi-Model Ensemble comprising thirty-two Global Climate Models from the Coupled Model Intercomparison Project Phase 6. The simulations are post-processed using the Bias-Correction Spatial Disaggregation statistical downscaling method, with 0.25° × 0.25° spatial resolution. Linear Scaling was applied to correct systematic biases, based on the Climate Hazards Center InfraRed Precipitation with Station Data Version 2.0 and the reference period from 1981 to 2010. The monthly R-Factor was estimated using seven previously calibrated statistical models. The estimated values showed Kling-Gupta Efficiency ranging from 0.687 to 0.866, which are considered satisfactory. The reference monthly R-Factors ranged from 0 to 4140 MJ mm h⁻1 ha⁻1 month⁻1, while the reference annual R-Factor ranged from 5580 to 25,200 MJ mm h⁻1 ha⁻1 year⁻1, predominantly classified as very strong. Projected changes in the annual R-Factor until 2100 varied from − 2617 to 81 MJ mm h⁻1 ha⁻1 year⁻1 in the intermediate scenario, and from − 5564 to – 313 MJ mm h⁻1 ha⁻1 year⁻1 in the most pessimistic scenario. The Northern and Central regions of the Amazon exhibit the most intense rates of change in the annual R-Factor. However, the annual R-Factor class remains predominantly very strong under both analyzed scenarios.

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Relationship between drought and soil erosion based on the normalized differential water index(NDWI)and revised universal soil loss equation(RUSLE)model

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Regional Sustainability 2024年第4期5卷 133-144页

作者： Muhammad RENDANA Wan Mohd Razi IDRIS Febrinasti ALIA Supli Effendi RAHIM Muhammad YAMIN Muhammad IZZUDIN Department of Chemical Engineering Faculty of EngineeringUniversitas SriwijayaIndralaya30662Indonesia Master Program of Environmental Management Graduate SchoolUniversitas SriwijayaPalembang30139Indonesia Department of Earth Sciences and Environment Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaBangi43600Malaysia Department of Civil Engineering Faculty of EngineeringUniversitas SriwijayaIndralaya30662Indonesia Master Program of Agricultural Sciences Graduate Study ProgramUniversitas Muhammadiyah PalembangPalembang30263Indonesia Department of Agribusiness Faculty of AgricultureUniversitas SriwijayaIndralaya30662Indonesia Department of Sociology Faculty of Social and Political SciencesUniversitas SriwijayaIndralaya30662Indonesia

The Langat River Basin in Malaysia is vulnerable to soil erosion risks because of its exposure to intensive land use activities and its topography,which primarily consists of steep slopes and mountainous ***,climate change frequently exposes this basin to drought,which negatively affects soil and water ***,recent studies have rarely shown how soil reacts to drought,such as soil ***,the purpose of this study is to evaluate the relationship between drought and soil erosion in the Langat River *** analyzed drought indices using Landsat 8 satellite images in November 2021,and created the normalized differential water index(NDWI)via Landsat 8 data to produce a drought *** used the revised universal soil loss equation(RUSLE)model to predict soil *** verified an association between the NDWI and soil erosion data using a correlation *** results revealed that the southern and northern regions of the study area experienced drought *** predicted an average annual soil erosion of approximately 58.11 t/(hm^(2)·a).Analysis of the association between the NDWI and soil erosion revealed a strong positive correlation,with a Pearson correlation coefficient of *** assumed that the slope length and steepness factor was the primary contributor to soil erosion in the study *** a result,these findings can help authorities plan effective measures to reduce the impacts of drought and soil erosion in the future.

关键词： Drought Soil erosion Normalized differential water index(NDWI) Revised universal soil loss equation(RUSLE) Langat River Basin

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Understanding the interplay of sludge characteristics and dewatering in water treatment plants: a review

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environmental Technology Reviews 2024年第1期13卷 794-813页

作者： Paffrath, Silvia F. Carissimi, Elvis Schner, Jéssica C. N. Ferrari, Keila F. H. Etchepare, Ramiro G. Graduate Program in Water Resources and Environmental Engineering Federal University of Paraná Curitiba Brazil Department of Sanitary and Environmental Engineering Federal University of Santa Maria Santa Maria Brazil Graduate Program in Civil Engineering Federal University of Santa Maria Santa Maria Brazil Department of Hydraulics Sanitation Federal University of Paraná Curitiba Brazil

In the realm of water supply and the management of residues arising from water treatment plants (WTP), an essential challenge lies in understanding and characterising sludge, and assessing whether these characteristics impact sludge dewatering, an essential step to reduce the management costs of these wastes. This review focuses specifically on the characterisation of sludge properties relevant to dewatering performance, addressing an underexplored aspect within recent literature on water treatment plant sludge (WTS). Unlike prior studies, which predominantly focus on sludge reuse after dewatering, this review systematically examines the direct correlations and interdependencies between sludge characteristics and dewatering outcomes, addressing gaps in literature. A bibliometric analysis of global WTS research revealed an annual average of fewer than 14 publications since 1957. Keywords related to sludge characteristics are notably scarce in connection with ‘dewatering’, highlighting a specific gap that this review aims to address. This review categorises sludge characteristics into ‘micro-properties’ and ‘macro-properties’, providing detailed descriptions of each. The latter primarily influence dewatering and are generally unmeasured in WTPs due to the inherent difficulties in their determination. However, it’s possible to derive macro-properties from micro-properties, establishing their relationship and subsequently selecting an appropriate dewatering technique. Main findings underscore direct proportionality between: viscosity (micro) and capillary suction time–CST (macro), solid concentration–SC (micro) and CST;and inverse proportionality between: SC and specific resistance to filtration–SRF (macro). These findings contribute a refined understanding of parameters affecting sludge dewatering processes, supporting further research focused on enhancing efficiency in WTS management. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Dewatering

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Uranium Oxide Production Pathway Classification Using Quantified Particle Morphology

Uranium Oxide Production Pathway Classification Using Quanti...

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2024 Annual Conference on Transactions of the American Nuclear Society, ANS 2024

作者： Goodell, Edward Sjoden, Glenn McDonald, Luther Sentz, Kari University of Utah Nuclear Engineering Program Department of Civil & Environmental Engineering 110 Central Campus Drive Suite 2000 Salt Lake CityUT84112 United States Information Sciences-3 CCS Division Los Alamos National Laboratory Bikini Atoll Rd Los AlamosNM87545 United States

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Microscopic Investigation on Interfacial Transition Zone in Fly Ash Cement Hydrates Using Roof-Tile Waste Aggregate 2nd

Microscopic Investigation on Interfacial Transition Zone in ...

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2nd International Conference on Sustainable civil engineering and Architecture, ICSCEA 2021

作者： Okamoto, Kazuma Huynh, Phat Tan Ogawa, Yuko Kawai, Kenji Civil and Environmental Engineering Program Graduate School of Advanced Science and Engineering Hiroshima University 1-4-1 Kaganiyama Higashihiroshima Japan Depertment of Civil and Environmental Engineering Graduate School of Engineering Hiroshima University 1-4-1 Kaganiyama Higashihiroshima Japan 268 Ly Thuong Kiet Street District 10 Ho Chi Minh Viet Nam Vietnam National University Ho Chi Minh City Linh Trung Ward Thu Duc District Ho Chi Minh Viet Nam

ISBN: (纸本)9789811933028

Previous studies reported that the strength reduction in fly ash concrete (FAC) can be improved by internal curing with roof-tile waste aggregate (RWA). However, how much the internal curing by RWA improved the compressive strength of FAC was different, and there was no clear explanation on it. The purpose of this study is to clarify the effect of the internal curing in the FAC by examining the range of the internal curing effect with RWA in the interfacial transition zone (ITZ) around coarse aggregate. Paste and concrete specimens in which part of cement was replaced with fly ash were prepared. For paste specimens, one aggregate particle was placed in the center of the specimen. Vickers hardness around the aggregate in the paste specimen and the compressive strength of the concrete specimen were investigated. As a result, the range of Vickers hardness improvement around RWA changed depending on the replacement ratio of fly ash. This indicates that the internal curing effect differs depending on the mixture proportion of paste matrix such as the replacement ratio of fly ash. Furthermore, it was observed that the compressive strength of concrete increased as the thickness of ITZ around RWA decreased. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Compressive strength

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Sources of dissolved organic matter in initial rainwater and its photochemical activity

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Water Cycle 2025年 6卷 428-439页

作者： Yanting Xi Sihan Fan Yixin Liu Danni Cui Zhicheng Liao Ziwei Guo Chaochao Lai Haodong Zhang Zhe Zhang Fengxia Han Huan He Bin Huang Xuejun Pan Faculty of Environmental Science and Engineering Kunming University of Science and Technology Kunming 650500 China Faculty of Civil Engineering and Mechanics Kunming University of Science and Technology Kunming 650500 China Yunnan Key Laboratory of Pollution Process and Management of Plateau Lake-Watershed Kunming 650032 China Environmental Engineering and Science Program Department of Chemical and Environmental Engineering (DCEE) University of Cincinnati OH 45221 USA

The dissolved organic matter in initial rainwater (RDOM), including soil-dissolved organic matter (SDOM) and water-soluble organic matter (WSOM) in the atmosphere, can potentially mediate the migration and transformation of contaminants in natural water. However, researches on its sources, characteristics, and impact of environmental factors are limited. This study aims to investigate the main sources of RDOM and its properties influenced by environmental factors (such as light exposure and temperature variation). The results revealed that RDOM was mainly composed of SDOM. Temperature (–5°C, −20°C, temperature alternating, 40°C, 50°C, 60°C) induced the variation of SDOM components, altering its fluorescence characteristics, aromatic components, and hydrophobicity. And high temperature showed a more pronounced effect on SDOM components. However, temperature fluctuations had different impacts on the SDOM-mediated photodegradation of bisphenol A (BPA). Among them, only SDOM that had undergone freeze-thaw cycles exhibited a promotive effect on the photodegradation of BPA, with the most significant effect observed at −20°C. Illumination (ultraviolet light (UV) and natural light (NL)) consumed the chromophoric groups of SDOM, disrupted its intricate electron transfer structure, and reduced the production of •OH and Triplet-state dissolved organic matter ( 3 DOM∗). So, illumination, especially UV, significantly weakened its mediating effect on the photodegradation of BPA. Based on these findings above, RDOM through temperature increase and illumination potentially leads to an inhibition of the degradation rate of organic pollutants. Conversely, RDOM may exhibit an enhanced ability following a freeze-thaw process. This study is crucial for elucidating the environmental effects of RDOM.

关键词： Dissolved organic matter Initial rainwater Photochemical activity Photo modification Temperature changes

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A deep learning physics-informed neural network (PINN) for predicting drilled shaft axial capacity

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Applied Computing and Geosciences 2025年 26卷

作者： Al-Atroush, M.E. Civil and Environmental Engineering Program College of Engineering Prince Sultan University P.O. Box 66833 Riyadh Saudi Arabia

Accurately estimating the axial capacity of drilled shafts remains a persistent challenge in geotechnical engineering, as evidenced by significant discrepancies between measured load-test results and theoretical predictions. To bridge this gap, a novel Deep Learning–Physics-Informed Neural Network (DL-PINN) framework is proposed. Employing Meyerhof's bearing capacity equations as a physics-based constraint, the developed PINN integrated soil and geometric parameters directly into its training loss function. By combining these first-principles relationships with empirical data, the model preserved fundamental geotechnical mechanisms while refining predictive accuracy through dynamic weight adjustments between data-driven and physics-based loss components. Comparative experiments with a standard artificial neural network (ANN), using a dataset derived from the loaded-to-failure in-situ pile test and subsequent numerical simulations, demonstrated that although the ANN may attain lower statistical errors, the PINN's adherence to physical laws yields predictions that better align with established geotechnical behavior. This balance between physics fidelity and data adaptability may nominate these PINN frameworks to address the "black box" nature of deep learning in geotechnical applications. The paper also suggested the future research needs to fulfill the scientific and practical gap. © 2025 The Author

关键词： Well testing

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