International Journal of Environmental Science and Technology最新文献

{"title":"Microbiological assessment of reservoir souring in oil fields of Siri Island, Persian Gulf, during water injection","authors":"M. Sadeghi,&nbsp;M. Tabaei,&nbsp;M. R. Kamali,&nbsp;B. Rasekh,&nbsp;M. Coolen","doi":"10.1007/s13762-024-06297-x","DOIUrl":"10.1007/s13762-024-06297-x","url":null,"abstract":"<div><p>This study investigates the source of hydrogen sulfide gas in the oil fields of Siri Island, Persian Gulf Basin, through microbiological and geochemical analyses of output, seawater input, and injection water samples. The findings suggest that reservoir souring is primarily caused by bacterial sulfate reduction, likely triggered by enhanced recovery methods such as water injection. Microbiological tests identified sulfate-reducing bacteria, with Desulfovibrio species being the dominant type, accounting for 81% of the bacteria identified. These bacteria were responsible for hydrogen consumption in the oil reservoir, leading to hydrogen sulfide production. The research concludes that Desulfovibrio bacteria play a critical role in souring processes in Siri Island oil fields. This study provides key insights into microbial mechanisms of reservoir souring, offering valuable information for improving oil recovery strategies and mitigating souring in future operations.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 7","pages":"5897 - 5910"},"PeriodicalIF":3.0,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The influence of meteorological factors on wintertime black carbon and PM2.5 pollution in Dhaka, Bangladesh","authors":"S. U. Zaman,&nbsp;K. Budhavant,&nbsp;A. Salam","doi":"10.1007/s13762-024-06302-3","DOIUrl":"10.1007/s13762-024-06302-3","url":null,"abstract":"<div><p>This study focuses on the alarming levels of black carbon (BC) and fine particulate matter (PM_2.5) pollution during winter in Dhaka, Bangladesh. The study period was chosen to coincide with the cold wave period during winter when temperatures were at their lowest. The average concentration of BC (24.2 µgm⁻³) and PM_2.5 (73.2 µgm⁻³) in Dhaka, the capital city, were measured and found to surpass national air quality standards and WHO guidelines. The study period had two distinct parts: a high pollution (HP) period from January 23–25, 2024, and a low pollution (LP) period from January 12–15, 2024. During the HP period, the average BC and PM_2.5 concentrations were 60 and 36% higher than the overall study period average. On the other hand, during the LP period, the average BC and PM_2.5 concentrations declined by about 30 and 26%, respectively, compared to the overall study period averages. High concentrations of BC (&gt; 10 µgm⁻³) were detected daily, indicating significant pollution levels during the winter season. Distinct diurnal patterns were observed during the HP period. Specifically, the concentration of BC significantly increased during the night, in contrast to the mild diurnal patterns observed in the LP period. Moreover, both PM_2.5 and BC concentrations exhibited a statistically significant negative correlation with key meteorological parameters, including wind speed, wind direction, and visibility. This study highlights the critical role of meteorological factors in managing air pollution, which has broader implications for environmental sustainability.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 9","pages":"8225 - 8234"},"PeriodicalIF":3.0,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increasing opportunities for component reuse on printed circuit boards using deep learning","authors":"N. N. Dinh,&nbsp;V. N. B. Tran,&nbsp;P. H. Lam,&nbsp;L. Q. Thao,&nbsp;N. C. Bach,&nbsp;D. D. Cuong,&nbsp;N. T. H. Yen,&nbsp;N. T. Phuong,&nbsp;D. T. Hai,&nbsp;N. D. Thien","doi":"10.1007/s13762-024-06242-y","DOIUrl":"10.1007/s13762-024-06242-y","url":null,"abstract":"<div><p>With the increasing volume of discarded printed circuit boards, there is an urgent need for efficient classification and reuse of electronic components to mitigate environmental risks and recover valuable materials. Current solutions face challenges due to high computational requirements and inefficiencies in detecting reusable components before they are destroyed. This study introduces PCBNet, a lightweight deep learning model based on a modified YOLOv8-tiny architecture, optimized for electronic component classification. PCBNet incorporates novel knowledge distillation strategies involving three teacher models using a projection head that dynamically updates the teacher model weights to enhance performance without increasing computational complexity. The optimized version, with α = 0.3 and β = 0.7 during the nowledge distillation process, achieves an mAP@50 of 0.467 and an mAP@95 of 0.368 with 0.5 million parameters and 1.7 billion floating-point operations, achieving an optimal balance between performance and computational efficiency. A prototype system using a Raspberry Pi, an automated conveyor, and a monitoring camera has been developed to verify PCBNet's effectiveness in detecting and classifying electronic components in PCBs. The results demonstrate that PCBNet is not only capable of accurate classification of electronic components but is also deployable on low-configuration devices, making it an effective solution for real-time e-waste recycling and component reuse. The results show that PCBNet accurately classifies electronic components and can be deployed on low-configuration devices, providing an effective solution for real-time e-waste recycling and component reuse.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 9","pages":"7885 - 7910"},"PeriodicalIF":3.0,"publicationDate":"2024-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multivariate analysis of ozonation as a control for the formation of iodinated disinfection by-products from iopamidol oxidation","authors":"López-Prieto I. J.,&nbsp;H. Pérez-Pastenes,&nbsp;S. Núñez-Correa,&nbsp;M. C.Cuevas-Díaz,&nbsp;O. Guzmán-López,&nbsp;T. E. Rodríguez-Ramírez","doi":"10.1007/s13762-024-06207-1","DOIUrl":"10.1007/s13762-024-06207-1","url":null,"abstract":"<div><p>There is a global concern about iodinated contrast media because they may be an anthropogenic source of iodine, and thereby precursors of iodinated disinfection by-products during chlorine disinfection. These by-product compounds may exert higher toxicity than regulated-disinfection by-products (i.e., trihalomethanes and haloacetic acids). This represents a challenge for water utilities due to the unknown formation of these iodinated disinfection by-products. This work is two folded: on one hand, it researches the effects of ozone as pretreatment for iopamidol oxidation through a sequential treatment of low-pressure ultraviolet light followed by free chlorine, and in the other hand, it applies an algorithm of principal component analysis to obtain the multivariable of these sequential treatments. In this context, a formation iodinated disinfection by-products to iodide correlation models were developed under each treatment condition (i.e., UV-Cl₂, and O₃-UV-Cl₂). Additionally, five iodinated disinfection by-products were detected: dichloroidomethane, chlorodiiodomethane, iodoform, iodoacetonitrile and chloroiodoacetamide<u>,</u> corresponding to trihalomethanes, haloacetonitriles and haloacetamides respectively. Results showed that ozonation as a pre-treatment step (O₃-UV-Cl₂) reduced up to 53% by-products formation than UV-Cl₂. Using principal component analysis, it was found that iodinated disinfection by-products to iodide correlation models showed a better correlation for the ozonation pretreatment with a R² = 0.9122 along with a Pearson coefficient of r = 0.9551. Ozonation should be considered as a strategy to control the formation of these iodinated by-products for water reuse from waters enriched with anthropogenic iodine. Future experiments with different source waters should be addressed to explore the formation and control of unregulated iodinated disinfection by-products.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 5","pages":"2931 - 2940"},"PeriodicalIF":3.0,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental assessment of bulk vs microfluidic reactors for nano-bio-photocatalyst synthesis and antibiotic degradation","authors":"S. Sohrabi,&nbsp;M. K. Moraveji","doi":"10.1007/s13762-024-06290-4","DOIUrl":"10.1007/s13762-024-06290-4","url":null,"abstract":"<div><p>In this work, several characteristics of microfluidic and bulk reactors, such as synthesis, activity, kinetics, and stability, have been compared. Synthesis aspects reveal that the microfluidic system is more successful in reducing the size distribution. Moreover, synthesis temperature and time have been decreased from above 100 °C to room temperature and from hours to minutes. Two superb properties of microfluidic system which assist the synthesis of nano-materials are the selective incorporation of nanoparticles (M4) and local heating (M5). The bio-photo-catalyst synthesized in microreactor M1 at 70 °C is capable of up amoxicillin (with a high concentration of 50 ppm) degradation with 100% efficiency. The kinetics data can show that the reaction rate in microfluidic system is more than 40 times of the bulk. The stability test showed that after five cycles of use, 95% and 70 of the efficiency over amoxicillin degradation has been kept in microfluidic (M5) and bulk systems, respectively.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 7","pages":"5841 - 5854"},"PeriodicalIF":3.0,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Assessment of groundwater sustainability in arid and semi-arid regions using a fuzzy Delphi method","authors":"S. H. Yazdi,&nbsp;M. Robati,&nbsp;S. Samani,&nbsp;F. Z. Hargalani","doi":"10.1007/s13762-024-06294-0","DOIUrl":"10.1007/s13762-024-06294-0","url":null,"abstract":"","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 1","pages":"363 - 363"},"PeriodicalIF":3.0,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The study of indoor particulate matter in office buildings based on artificial intelligence","authors":"S. Soleimani-Alyar,&nbsp;M. Soleimani-Alyar,&nbsp;R. Yarahmadi,&nbsp;P. Beyk-Mohammadloo,&nbsp;P. Fazeli","doi":"10.1007/s13762-024-06277-1","DOIUrl":"10.1007/s13762-024-06277-1","url":null,"abstract":"<div><p>The necessity of supplying proper indoor air quality in workplaces to provide the principles of a healthy and productive labor force and avoid negative outcomes is a known fact. This study assessed particulate matter (PM) concentrations in office buildings of governmental organizations across five regions in Tehran over four seasons (2018–2019) to model annual indoor PM patterns using machine learning. PM concentrations, including PM₁, PM_2.5, PM₁₀, and Total Particulate Matter (TPM), were categorized using ensemble modeling techniques such as Linear Regression, Random Forest, Gradient Boosting, XGBoost, CatBoost, Support Vector Regression, and K-nearest neighbors. Key air quality parameters measured were CO2 (784 ppm), SO2 (0.114 μg/m³), PM_2.5 (4.604 μg/m³), temperature (24.8 °C), and relative humidity (21.16%). While most parameters met guidelines, PM₁₀ levels (97.5 μg/m³) exceeded WHO standards and relative humidity was below recommended levels, highlighting areas for improvement. PM_2.5 and PM₁₀ showed the strongest positive correlation (<i>p</i> value = 0.0001) and similar seasonal trends, with higher concentrations in autumn and summer and lower levels in spring and winter. The southern region exhibited consistently higher PM concentrations, while no significant changes were noted in the East or West. Among the models, CatBoost performed best in predicting air quality. The study suggests that indoor PM levels are influenced by psychrometric conditions and building location, providing valuable insights for improving air quality and occupant health.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 7","pages":"5763 - 5776"},"PeriodicalIF":3.0,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel hierarchical porous polyHIPE/Fe3O4 nanocomposite foam functionalized by 1-vinylimidazole for Fe2+ removal from aqueous solutions","authors":"Y. Farahat,&nbsp;M. R. Moghbeli,&nbsp;H. Karimian","doi":"10.1007/s13762-024-06268-2","DOIUrl":"10.1007/s13762-024-06268-2","url":null,"abstract":"<div><p>Highly open porous poly(styrene-co-divinylbenzene) polyHIPE foam was successfully synthesized and then functionalized by different percentages of 1-vinylimidazole co-monomer. Fe₃O₄ nanoparticles were synthesized and incorporated in the functionalized polyHIPE foams to enhance Fe²⁺ removal efficiency from aqueous solutions. The co-monomer in the functionalized and functionalized/Fe₃O₄ nanocomposite foams is well-suited to enhance Fe²⁺ removal efficiency. The adsorption efficiency of the 1-vinylimidazole-functionalized polyHIPE foams increased with increasing 1-vinylimidazole percentage. The kinetic studies showed a pseudo-second-order adsorption kinetics at different co-monomer concentrations. The nanocomposite foam containing 10, 20, 30 wt% Fe₃O₄ removed 79.01, 84.03, and 72.56% of Fe²⁺ ions, respectively. The 1-vinylimidazole@PolyHIPE/20 wt% Fe₃O₄ nanocomposite with the highest Fe²⁺ removal capacity was selected for further adsorption studies. The Fe²⁺ removal efficiency by this nanocomposite foam was investigated at different pHs, adsorbent dosages, and initial Fe²⁺ concentrations using the response surface method (RSM) experimental design. In addition to aqueous solutions containing only Fe²⁺ ions, the Fe²⁺ removal efficiency was evaluated in the presence of Ni²⁺, Cr³⁺, Cr⁶⁺, Zn²⁺, and Pb²⁺ for comparison purposes. These competing metal ions in the solution decreased the Fe²⁺ removal efficiency from 84.03 to 77.20%. The adsorption isotherms were best fitted to the Langmuir equation, indicating the adsorption of a monolayer of Fe²⁺ ions on the polyHIPE walls.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 7","pages":"5697 - 5712"},"PeriodicalIF":3.0,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Health risk assessment of nitrates and fluorides ingestion and geochemical evaluation of groundwater characteristics in semi-arid regions","authors":"A. Malik,&nbsp;A. Yasar,&nbsp;A. B. Tabinda,&nbsp;M. H. Iftikhar,&nbsp;S. Mukhtar","doi":"10.1007/s13762-024-06295-z","DOIUrl":"10.1007/s13762-024-06295-z","url":null,"abstract":"","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 1","pages":"665 - 665"},"PeriodicalIF":3.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing forced circulation crystallizer performance in zero discharge desalination using artificial neural networks","authors":"S. Saatchi,&nbsp;F. Farahbod,&nbsp;O. Alizadeh","doi":"10.1007/s13762-024-06258-4","DOIUrl":"10.1007/s13762-024-06258-4","url":null,"abstract":"<div><p>Brine discharge from desalination processes poses ecological risks due to thermal and salinity stress. Zero discharge desalination (ZDD) technologies like forced circulation crystallization (FCC) recover salts from concentrated brine. This study investigates FCC performance and develops an artificial neural network (ANN) model to optimize operational parameters. Key variables considered include crystallizer capacity, residence time, heat exchanger temperature, cooling water flow rate, crystal size distribution, water recovery, and energy consumption. A feed-forward backpropagation ANN with 14 hidden neurons, trained using the Levenberg–Marquardt algorithm, was implemented. Model predictions were validated against experimental data. The results of the laboratory studies show that the optimal residence time and the best flow rate of incoming cold water are 4 h and 10 kg/min, respectively. Also, 70% can be introduced as the optimal occupied volume. This study shows that the total cost of the conventional crystallizer is about 30% higher than the total cost of the optimized crystallizer.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 7","pages":"5577 - 5590"},"PeriodicalIF":3.0,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}