International Journal of Environmental Science and Technology最新文献

{"title":"A long-period assessment of climate change impact on river water quality in the central region of Iran","authors":"M. Moazeni,&nbsp;M. Sayedipour,&nbsp;K. Y. A. Lin,&nbsp;A. Ebrahimi","doi":"10.1007/s13762-024-06327-8","DOIUrl":"10.1007/s13762-024-06327-8","url":null,"abstract":"<div><p>Considering the detrimental impact of climate change on water quality, regional studies can prove invaluable in reducing financial losses and enhancing the efficacy of local water management strategies, thereby mitigating the potential adverse consequences of climate change. This study developed a new approach to investigate this issue by analyzing climate and water quality parameters in the Zayandeh-Rud River watershed over 14 years. Data were collected from relevant organizations in Iran. A correlation analysis was conducted to identify the impact of climate change on water quality. Moreover, ordinary kriging, and inverse distance weighting methods were employed for the spatial distribution of parameters. Furthermore, the spatial autocorrelation outcomes about water quality were validated. Hot spot analysis and Anselin Local Moran’s I indices were subsequently employed to effectively delineate clusters with high and low concentration of water quality parameters. The number of freezing days, annual average, minimum, and maximum temperatures, exhibited an upward trend. However, some water quality parameters (EC, TDS, HCO₃⁻, CO₃²⁻, SO₄²⁻, Cl⁻, Mg²⁺, and Na⁺) decreased during the study period. Furthermore, examination of clusters and anomalies revealed that this region is positioned within low–high outlier pattern. Most of the examined water quality parameters demonstrated a clustering of elevated values with a statistical confidence level of 99% within the eastern region of the research area. This study will facilitate the understanding of the impacts of climate change on water quality and the identification of appropriate adaptation measures for the ecosystem management of the Zayandeh-Rud river watershed in Iran.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 7","pages":"5969 - 5986"},"PeriodicalIF":3.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602112","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":"Revolutionizing dye adsorption: amino functionalized Zeolitic Imidazole Framework-8 for effective methyl blue removal","authors":"D. N. Awang Chee,&nbsp;N. A. Kamaludin,&nbsp;M. S. Soffian,&nbsp;F. Z. Abdul Halim,&nbsp;M. A. Mohamed Amin","doi":"10.1007/s13762-024-06250-y","DOIUrl":"10.1007/s13762-024-06250-y","url":null,"abstract":"<div><p>The discharge of untreated wastewater containing synthetic dyes from the industry significantly pollutes water sources. Metal–Organic Frameworks especially Zeolitic Imidazolate Framework-8 have emerged as promising materials in dye wastewater treatment, offering innovative potential for mitigating this pollution. In this research study, the amino-functionalized Zeolitic Imidazole Framework-8 was synthesized and characterized using Field-Emission Scanning Electron Microscopy, Energy Dispersive X-ray Spectroscopy, Fourier Transform Infrared Spectroscopy, X-ray Diffraction, X-ray Photoelectron Spectroscopy and Brunauer–Emmett–Teller. The suitability of amino-functionalized Zeolitic Imidazole Framework-8 for dye removal was determined via a batch adsorption study, and the effects of several adsorption factors were investigated, including the initial concentration of methyl blue (40–200 ppm) the effect of pH condition (pH 3–11), and reaction time (30–180 min). Several kinetic isotherm models, including Langmuir, Freundlich, Pseudo First Order, and Pseudo Second Order, were applied to ascertain the adsorption mechanism. From the results obtained, the adsorption capacity of amino-functionalized Zeolitic Imidazole Framework-8 recorded is 537.4 mg/g. The adsorption isotherm is well-suited to the Freundlich model (R² = 0.9453) and the kinetic of adsorption is most fitted with Pseudo-second order (R² = 0.9999). Thus, these results suggest that amino-functionalized Zeolitic Imidazole Framework-8 is a highly efficient adsorbent for methyl blue, operating predominantly through multilayer adsorption and chemisorption. For future research, it is recommended to study the selectivity of amino-functionalized Zeolitic Imidazole Framework-8 for various dyes and contaminants, as well as to evaluate its performance in real wastewater samples to assess its practical applicability in complex matrices.</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 3","pages":"1591 - 1608"},"PeriodicalIF":3.0,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108581","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":"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":"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}