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Occurrence of fecal indicator bacteria and microbial source tracking markers along the Texas Gulf Coast adjoining two barrier islands

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Science of the Total Environment 2025年 975卷 179323页

作者： Dhar, Dipti Anik Vadde, Kiran Kumar Narimani, Roya Murgulet, Dorina Felix, J. David Matta, Akanksha Pinchback, Jason Kapoor, Vikram School of Civil & Environmental Engineering Construction Management University of Texas at San Antonio San AntonioTX78249 United States Department of Physical and Environmental Sciences Center for Water Supply Studies Texas A&M University-Corpus Christi Corpus ChristiTX78412 United States Department of Chemistry University of Texas at San Antonio San AntonioTX78249 United States Water Resources Program Texas General Land Office AustinTX78701 United States

This study investigates the occurrence and sources of fecal contamination along the Texas Gulf Coast, focusing on two barrier islands: Sargent Beach and Matagorda Peninsula. Surface water samples from six sites were collected over 19 months and analyzed for fecal indicator bacteria (FIB) and microbial source tracking (MST) markers, including human (HF183), canine (BacCan), avian (GFD), and enterococci (Entero1) markers. Culturable enterococci were detected in all samples, often exceeding safety thresholds, indicating widespread fecal contamination. Statistical analyses revealed significant differences in marker concentrations among sites (ANOVA, p © 2025 Elsevier B.V.

关键词： Waste management

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SEASONAL AND IN-MILL ASPECTS OF ORGANIC HALIDE REMOVAL BY AN AERATED STABILIZATION BASIN TREATING A KRAFT MILL WASTE-WATER

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WATER SCIENCE AND TECHNOLOGY 1989年第4-5期21卷 231-239页

作者： BRYANT, CW AMY, GL Environmental Engineering Program Department of Civil Engineering University of Arizona Tucson Arizona 85721 U.S.A.

Levels of total organic hallde (TOX) in a Kraft mill wastewater ranged from 26,000 to 60,000 g/l. An aerated stabilization basin (ASB) proved capable of removing one-third to one-half of both the total TOX as well as ... 详细信息

关键词： Organic Halide Aerated Stabilization Basin Kraft Mill Wastewater

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MOLECULAR-WEIGHT DISTRIBUTIONS OF SOLUBLE ORGANIC-MATTER IN VARIOUS SECONDARY AND TERTIARY EFFLUENTS

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WATER SCIENCE AND TECHNOLOGY 1987年第3-4期19卷 529-538页

作者： AMY, GL BRYANT, CW BELYANI, M Environmental Engineering Program Department of Civil Engineering The University of Arizona Tucson Arizona 85721 U.S.A.

Differences in the nature of soluble organic matter were measured for various full-scale wastewater treatment processes. Conventional activated sludge, pure oxygen activated sludge, biofiltration, granular activated carbon, and tertiary sand filtration were evaluated. Effluent soluble organic matter was analyzed by ultrafiltration for the apparent molecular weight distribution of soluble organic carbon and UV-absorbing material. The effects of annual season, secondary treatment process, and tertiary treatment process upon the properties of the effluent soluble organic matter were statistically significant at the 99% level. Effluent properties from the various treatments were sufficiently different to support the concept of the selection of appropriate treatments to minimize the effluent concentration of specific fractions of the soluble organic material as required for specific water reuse applications.

关键词： Apparent molecular weight hydrophobic properties Ultrafiltration water reuse soluble organic matter.

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TRANSFORMATION CAPACITIES OF CHLORINATED ORGANICS BY MIXED CULTURES ENRICHED ON METHANE, PROPANE, TOLUENE, OR PHENOL

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BIOTECHNOLOGY AND BIOengineering 1995年第5期45卷 440-449页

作者： CHANG, HL ALVAREZ-COHEN, L Environmental Engineering Program Department Civil Engineering University of California Berkeley CA 94720-1710 United States

The degradation of trichloroethylene (TCE), chloroform (CF), and 1,2-dichloroethane (1,2-DCA) by four aerobic mixed cultures (methane, propane, toluene, and phenol oxidizers) grown under similar chemostat conditions was measured. Methane and propane oxidizers were capable of degrading both saturated and unsaturated chlorinated organics (TCE, CF, and 1,2-DCA). Toluene and phenol oxidizers degraded TCE but were not able to degrade CF, 1,2-DCA, or other saturated organics. None of the cultures tested were able to degrade perchloroethylene (PCE) or carbon tetrachloride (CCl4). For the four cultures tested, degradation of each of the chlorinated organics resulted in cell inactivation due to product toxicity. In all cases, the toxic products were rapidly depleted, leaving no toxic residues in solution. Among the four tested cultures, the resting cells of methane oxidizers exhibited the highest transformation capacities (T-c) for TCE, CF, and 1,2-DCA. The T-c for each chlorinated organic was observed to be inversely proportional to the chlorine carbon ratio (Cl/C). The addition of low concentrations of growth substrate or some catabolic intermediates enhanced TCE transformation capacities and degradation rates, presumably due to the regeneration of reducing energy (NADH);however, addition of higher concentrations of most amendments reduced TCE transformation capacities and degradation rates. Reducing energy limitations and amendment toxicity may significantly affect T-c measurements, causing a masking of the toxicity associated with chlorinated organic degradation. (C) 1995 John Wiley and Sons, Inc.

关键词： TRANSFORMATION CAPACITY PRODUCT TOXICITY OXYGENASE ENZYMES CHLORINATED ORGANICS TRICHLOROETHYLENE

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Development of ceramic membranes from sugarcane bagasse ash for microfiltration of biodiesel production effluents

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Open Ceramics 2025年 22卷

作者： Pin, Clarissa Ferreira Brandler, Danieli Flores, Gabriela Cristina Perusin Kubiaki Levandoski, William Mateus Bruschi, Giovani Jordi Pelissaro, Deise Trevizan Dervanoski, Adriana Korf, Eduardo Pavan Pasquali, Gean Delise Leal Graduate Program in Enviromental Science and Technology Federal University of Fronteira Sul Erechim/RS 99700-970 Brazil Departament of Civil Engineering Integrated Regional University of Alto Uruguai and Missões – Erechim/RS 99709-910 Brazil Departament of Environmental and Sanitary Engineering Federal University of Fronteira Sul Erechim/RS 99700-970 Brazil

Ceramic membranes have emerged as a promising solution for microfiltration processes, offering advantages such as cost-effectiveness, environmental benefits, and the utilization of abundant raw materials derived from agro-industrial solid waste. This study investigates the fabrication and performance of ceramic membranes composed of kaolin the varying proportions of sugarcane bagasse ash (SCBA - 40 wt % and 60 wt %), with focus on efficiency in treating biodiesel wastewater. The membranes were characterized (porosity, average pore diameter, and mechanical strength). The membrane containing 40 wt % SCBA - employed without any pre-treatment- exhibited the best overall performance, achieving porosity of 38.5 %, an pore diameter of 0.9 µm, and mechanical strength of 27 MPa, indicating a favorable balance between permeability and structural integrity. The best-performing membrane achieved removal efficiencies of color 83 % and turbidity 67 %. Microstructural analysis revealed a network of interconnected mesopores, which are particularly effective for the retention of colloidal and suspended contaminants. © 2025 The Authors

关键词： Agro-industrial solid waste Industrial effluent Membrane filtration

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THEORETICAL-ANALYSIS OF SIZE DISTRIBUTIONS DETERMINED WITH SCREENS AND FILTERS

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LIMNOLOGY AND OCEANOGRAPHY 1993年第2期38卷 372-381页

作者： LOGAN, BE Environmental Engineering Program Department of Civil Engineering and Engineering Mechanics University of Arizona Tucson 8572 1

Nets, screens, and filters are used to sieve out particles larger than the pore sizes. However, during separation a significant fraction of particles smaller than the pore diameters will also be removed by collision and adhesion to the mesh fibers. Two filtration models were used to predict the size and mass distributions of particles during size separation. A capillary tube model was used to calculate particle removal by different screens, and a fibrous filter model was used for glass-fiber filters. The extent of particle removal was modeled assuming a size distribution of 3,100 particles evenly distributed at logarithmic intervals over 31 size classes ranging from 0.1 to 100 mum. As many as 8% of the particles and 50% of the total particle mass could be retained by a 210-mum (pore diam) mesh even though all particles were < 100 mum. This high retention of particles implies that when size distributions are prepared with screens and filters, the mass concentration in smaller size fractions will be considerably underestimated.

关键词： Sieving Particle mass Modeling Particle size distribution Coefficients Particle collisions Filtration Porosity Particle size classes

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Antioxidant system alterations and oxidative stress caused by polyfluoroalkyl substances (PFAS) in exposed biota: a review

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Science of the Total Environment 2025年 977卷 179395页

作者： Soares, Lorena Oliveira Souza de Araujo, Gabriel Farias Gomes, Thais Braga Júnior, Sidney Fernandes Sales Cuprys, Agnieszka Katarzyna Soares, Raquel Moraes Saggioro, Enrico Mendes Laboratory of Environmental Health Assessment and Promotion Oswaldo Cruz Institute Oswaldo Cruz Foundation Av. Brasil 4365 RJ Rio de Janeiro21045-900 Brazil Post-Graduate Program in Public Health and Environment Sergio Arouca National School of Public Health Oswaldo Cruz Foundation Av. Leopoldo Bulhões 1480 RJ Rio de Janeiro21041-210 Brazil Faculty of Science and Technology Norwegian University of Life Sciences P.O. Box 5003 Ås1432 Norway Post-Graduate Program in Environmental Technology and Water Resources Department of Civil and Environmental Engineering – FT University of Brasília Darcy Ribeiro Campus Via L3 Norte DF Brasília70910-900 Brazil

Contamination of aquatic and terrestrial organisms by Perfluoroalkyl substances (PFAS), emerging contaminants, is widespread, as these compounds are present in water, soil, air, and food, owing to their environmental persistence. PFAS exposure induces biochemical process alterations associated with the disruption of the antioxidant defense system in several species. This review aims to discuss how PFAS-induced antioxidant system alterations lead to changes in biochemical processes in different organisms exposed to these pollutants. This disruption, then leads to an imbalance in antioxidant defense systems, contributing to the formation of reactive oxidative species (ROS), which, in turn, can be exacerbate oxidative stress, induce cellular damage, enhance lipid peroxidation, destabilize lysosomal membranes, and cause genotoxic effects, ultimately compromising DNA integrity. In acute tests, PFAS have led to mortality, growth inhibition, diminished behavioral and locomotor abilities, and reproductive impairment. PFAS-induced effects differ with varying species or types of substances, and further bioaccumulation through food chains exacerbates environmental contamination, carrying considerable risks. These findings demonstrate the complex and enduring impact of PFAS on environmental health, emphasizing the importance of this review in corroborating studies on sub-lethal toxicity in exposed organisms and how these effects reflect on the environment. © 2025 Elsevier B.V.

关键词： Biotic

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REMOVAL OF BACTERIA IN LABORATORY FILTERS - MODELS AND EXPERIMENTS

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WATER RESEARCH 1993年第6期27卷 955-962页

作者： LOGAN, BE HILBERT, TA ARNOLD, RG Environmental Engineering Program Department of Civil Engineering and Engineering Mechanics University of Arizona Tucson AZ 85721 U.S.A.

Five filtration models were used to predict the effect of particle size on removal in several types of laboratory filters (nylon, cellulose and glass fiber). All, models predicted similar trends in removal with particle size, although the capillary-pore model predicted substantially lower removals than the other four fibrous filtration models. These models indicated that bacterium-size (approximately 1 mum) particles are removed in filters primarily through the filtration mechanism of particle interception. Based on advertised pore sizes, removal of bacterium-size particles was a function of filter material in the order cellulose > nylon > glass fiber. The percent of bacteria removed in a nylon filter (5 mum pore diameter) was similar to removal in GF/C filters (1.2 mum pore diameter) as a result of a higher sticking coefficient of bacteria with nylon than with glass. The average sticking coefficients of three bacteria, Pseudomonas sp. JS6, Pseudomonas fluorescens P17 and Bacillus pumilus, in glass fiber (GF/C) filters, were 0.01, 0.24 and 0.20, respectively. These results indicate that filtration models can be used to describe particle removal during laboratory filtration of water and wastewater samples, and that bacteria have relatively high sticking coefficients for filter materials.

关键词： BACTERIA FILTERS FILTRATION WATERS WASTEWATERS

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Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

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Frontiers of Structural and civil engineering 2023年第2期17卷 284-305页

作者： Hai-Van Thi MAI May Huu NGUYEN Son Hoang TRINH Hai-Bang LY Civil Engineering Department University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

Fiber-reinforced self-compacting concrete(FRSCC)is a typical construction material,and its compressive strength(CS)is a critical mechanical property that must be adequately *** the machine learning(ML)approach to estimating the CS of FRSCC,the current research gaps include the limitations of samples in databases,the applicability constraints of models owing to limited mixture components,and the possibility of applying recently proposed *** study developed different ML models for predicting the CS of FRSCC to address these *** neural network,random forest,and categorical gradient boosting(CatBoost)models were optimized to derive the best predictive model with the aid of a 10-fold cross-validation technique.A database of 381 samples was created,representing the most significant FRSCC dataset compared with previous studies,and it was used for model *** findings indicated that CatBoost outperformed the other two models with excellent predictive abilities(root mean square error of 2.639 MPa,mean absolute error of 1.669 MPa,and coefficient of determination of 0.986 for the test dataset).Finally,a sensitivity analysis using a partial dependence plot was conducted to obtain a thorough understanding of the effect of each input variable on the predicted CS of *** results showed that the cement content,testing age,and superplasticizer content are the most critical factors affecting the CS.

关键词： compressive strength self-compacting concrete artificial neural network decision tree CatBoost

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Application of machine learning technique for predicting and evaluating chloride ingress in concrete

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Frontiers of Structural and civil engineering 2022年第9期16卷 1153-1169页

作者： Van Quan TRAN Van Loi GIAP Dinh Phien VU Riya Catherine GEORGE Lanh Si HO Department of Civil Engineering University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

The degradation of concrete structure in the marine environment is often related to chloride-induced corrosion of reinforcement ***,the chloride concentration in concrete is a vital parameter for estimating the corrosion level of reinforcement *** research aims at predicting the chloride content in concrete using three hybrid models of gradient boosting(GB),artificial neural network(ANN),and random forest(RF)in combination with particle swarm optimization(PSO).The input variables for modeling include exposure condition,water/binder ratio(W/B),cement content,silica fume,time exposure,and depth of *** results indicate that three models performed well with high accuracy of prediction(R2⩾0.90).Among three hybrid models,the model using GB_PSO achieved the highest prediction accuracy(R2=0.9551,RMSE=0.0327,and MAE=0.0181).Based on the results of sensitivity analysis using SHapley Additive exPlanation(SHAP)and partial dependence plots 1D(PDP-1D),it was found that the exposure condition and depth of measurement were the two most vital variables affecting the prediction of chloride *** the number of different exposure conditions is larger than two,the exposure significantly impacted the chloride content of concrete because the chloride ion ingress is affected by both chemical and physical *** study provides an insight into the evaluation and prediction of the chloride content of concrete in the marine environment.

关键词： gradient boosting random forest chloride content concrete sensitivity analysis

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