Environmental Science and Pollution Research最新文献

{"title":"Control engineering for the construction of UiO-66 effectively increases adsorption performance: The role of solvent factor.","authors":"Xuanyu Shi, Zhiwei Geng, Mingming Peng, Qiuyang Zuo, Hui Shi, Liming Yang, Zifei Wang, Yuan Ding, Xuan Ding, Xin Li, Zhennan Jin, Wenxing Huang, Penghui Shao, Xubiao Luo","doi":"10.1007/s11356-025-36074-3","DOIUrl":"https://doi.org/10.1007/s11356-025-36074-3","url":null,"abstract":"<p><p>Controlled synthesis based on the metal-organic skeleton structure and channel size is essential for practical applications. In addition to adjusting structural characteristics, it is crucial to reveal the relationship between morphology and properties in chemistry to achieve rational material design. This paper investigates the effects of the proton supply/acceptor capacity (β/α parameter) on the structure of Zr-MOF and the adsorption properties of Sb(V) in UiO-66-X (University of Oslo-66) crystal material constructed with a variety of solvents as templates, using the Kamlet-Taft method. The experimental results indicate that the adsorption properties of crystal structures formed by solvent template vary significantly (UiO-66-ACN (189 mg/g)-UiO-66-CP (410 mg/g)). Furthermore, the DFT calculation confirmed that UiO-66-CP exhibits greater adsorption activity compared to UiO-66-DMF and UiO-66-ACN, thereby enhancing the adsorption performance of Sb(V) (-299 eV > -306 eV > -359 eV). UiO-66-CP exhibits excellent anti-anion interference ability and can be reused up to 5 cycles while maintaining a removal efficiency of over 90%. UiO-66-CP also successfully removed antimony from the actual water bodies of Tianyi Lake and Ganjiang River, and the residual concentration was less than 5 μg/L, which meets the drinking water standard.</p>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":" ","pages":""},"PeriodicalIF":5.8,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Economic and environmental benefits of cool pavements: a case study of Bhubaneswar city.","authors":"Balan Radha Anupam, Umesh Chandra Sahoo, Velu Vinoj, Prasenjit Rath","doi":"10.1007/s11356-025-36041-y","DOIUrl":"https://doi.org/10.1007/s11356-025-36041-y","url":null,"abstract":"<p><p>The change of land use from natural lands to built-up areas is one of the key reasons for the urban heat island (UHI) effect, because of absorbance and storing of heat energy. Roads and streets cover a significant fraction of the urban fabric and are continuously exposed to solar radiation. This study examines the impact of pavement surface temperature on urban air temperature. Measurements were made across the Bhubaneswar city to capture the temperature and relative humidity along the major arterial roads. The study quantified the UHI effect and evaluated the benefits of cool pavements in reducing air temperature and improving energy efficiency. The study reveals a strong relation between pavement surface temperature and near-surface air temperature. It was found that up to 1.5 m above the pavement surface, the impact of pavement surface temperature on the air temperature is substantial. On a particularly hot summer day, the air temperature just above the pavement surface and at 1.5 m above the surface was observed to be higher than the surrounding ambient air temperature by up to 7.4 °C and 2 °C, respectively. Based on the measurements taken during this limited period, the peak UHI intensity in Bhubaneswar city was found to be ~ 1.9 °C, which is high, if the current developments of the city are taken into consideration. This study also indicates that significant economic and environmental benefits can be achieved with the adoption of cool pavement technologies.</p>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":" ","pages":""},"PeriodicalIF":5.8,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143412678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Comments on “Research trends on the relationship between air pollution and cardiovascular diseases in 2013–2022 – A scientometric analysis”","authors":"Daifallah M. Alrazeeni,&nbsp;Fateha Tuj Johra,&nbsp;Fazila Akter,&nbsp;Muhammad Join Uddin,&nbsp;Silvia Ferdousi,&nbsp;Mst. Rina Parvin,&nbsp;Moustaq Karim Khan Rony","doi":"10.1007/s11356-025-36084-1","DOIUrl":"10.1007/s11356-025-36084-1","url":null,"abstract":"","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"32 9","pages":"5640 - 5643"},"PeriodicalIF":5.8,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143405076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Comment on \"An examination of daily CO₂ emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models\".","authors":"Triwiyanto Triwiyanto, Bedjo Utomo, Sri Poerwati","doi":"10.1007/s11356-025-36087-y","DOIUrl":"https://doi.org/10.1007/s11356-025-36087-y","url":null,"abstract":"","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":" ","pages":""},"PeriodicalIF":5.8,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143405074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Enhancing drought monitoring with a multivariate hydrometeorological index and machine learning-based prediction in the south of Iran","authors":"Hossein Zamani,&nbsp;Zohreh Pakdaman,&nbsp;Marzieh Shakari,&nbsp;Ommolbanin Bazrafshan,&nbsp;Sajad Jamshidi","doi":"10.1007/s11356-025-36049-4","DOIUrl":"10.1007/s11356-025-36049-4","url":null,"abstract":"<div><p>Traditional drought indices, such as the Standardized Precipitation Index (SPI) and Standardized Runoff Index (SRI), often fail to capture the complexity of drought events, which involve multiple interacting variables. To address this gap, this study applies the Principle of Maximum Entropy (POME) copula to combine SPI and SRI into a Joint Deficit Index (JDI), offering a more complete assessment of hydrometeorological drought. We used machine learning models, including Random Forest (RF), Quantile Random Forest (QRF), Extreme Gradient Boosting (XGB), and Quantile Regression XGBoost (QXGB), to predict JDI, while also incorporating uncertainty analysis using the Uncertainty Estimation based on Local Errors and Clustering (UNEEC) method. This approach not only improves the accuracy of drought predictions but also quantifies the uncertainty of the models, enhancing reliability. Model performance, evaluated with <i>R</i>², RMSE, and MAE, showed XGB as the best performer, achieving <i>R</i>² = 0.93 and RMSE = 0.16. This integration of multivariate drought indices, machine learning, and uncertainty analysis provides a more robust tool for drought monitoring and water resource management in arid regions.</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"32 9","pages":"5605 - 5627"},"PeriodicalIF":5.8,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143405080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Simultaneous determination of polycyclic aromatic hydrocarbons, their derivatives, and phthalic acid esters bound to ambient PM_2.5 during pre-summer season in Bengaluru, India, and potential effect on protein aggregation diseases.","authors":"Durga Prasad Patnana, Sai Phalguna Kanikaram, Piyush Kumar, Vijay Sai Krishna Cheerala, Venketesh Sivaramakrishnan, Prashant Tripathi, Boggarapu Praphulla Chandra","doi":"10.1007/s11356-025-36035-w","DOIUrl":"https://doi.org/10.1007/s11356-025-36035-w","url":null,"abstract":"<p><p>Air pollution pertaining to particulate matter (PM) is a major issue in most of the metropolitan cities across the world. Inhalation exposure to organic species like polycyclic aromatic hydrocarbons (PAHs), derivatives of PAHs (oxygenated and nitrated PAHs), and phthalic acid esters (PAEs) bound to PM is of major concern owing to its carcinogenic, mutagenic, and endocrine disrupting nature. In this study for the first time, we report a total of 22 aromatic organic species which include PAHs, derivatives of PAHs, and PAEs using an optimized high-performance liquid chromatography coupled to the tandem mass spectrometer (HPLC-MS/MS) method. Further, this optimized method was used to carry out the measurements of the 22 targeted organic constituents bound to the ambient fine particulate matter (PM_2.5) collected in Bengaluru, a metropolitan city in India as a part of a pilot study during the pre-summer season. Among the reported compounds, benzo[b]fluoranthene (3.82 ng m^-3), 9-nitroanthracene (10.47 ng m^-3), and diethyl phthalate (5.38 ng m^-3) are the most abundant PAHs, the derivatives of PAHs, and PAEs, respectively. Determined diagnostic ratios of PAHs have shown that the sampling site is majorly influenced by traffic emissions. Benzo[a]pyrene, a Group 1 carcinogen has occasionally exceeded the limits set by National Ambient Air Quality Standards (NAAQs), India during the sampling period. Further, a preliminary study was performed using a yeast model of amyotrophic lateral sclerosis (ALS) expressing transactive response DNA binding protein 43 (TDP43) and we demonstrated that commonly reported organics such as PAHs and PAEs bound to PM_2.5 have induced significantly elevated aggregation in wild type TDP43. Preliminary results of this study indicate that there is a need for further detailed health risk assessment due to inhalation exposure of organic constituents bound to the ambient PM in Bengaluru.</p>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":" ","pages":""},"PeriodicalIF":5.8,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143405084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Photocatalytic degradation of polycyclic aromatic hydrocarbons under visible light irradiation in water using TiO2/MgO nanocomposites","authors":"Iryna V. Matsukevich,&nbsp;Jelena Beljin,&nbsp;Natallia V. Kulinich,&nbsp;Tamara Apostolović,&nbsp;Snežana Maletić,&nbsp;Valentin Romanovski","doi":"10.1007/s11356-025-36055-6","DOIUrl":"10.1007/s11356-025-36055-6","url":null,"abstract":"<div><p>An extensive class of pollutants found in soil, water, and bottom sediments are categorized as polycyclic aromatic hydrocarbons. A possible method of breaking down polycyclic aromatic hydrocarbons is thought to be the photochemical approach. The potential application of mesoporous nanocomposites on TiO₂/MgO as catalysts for the photooxidation of polycyclic aromatic hydrocarbons under the influence of visible light was assessed in this work. TiO₂/MgO nanocomposites were successfully obtained by the self-propagating high-temperature synthesis using methotitanic acid and magnesium nitrate as metal precursors. An important step in the synthesis was the conversion of the titanium precursor into a water-soluble form with the subsequent addition of glycine and citric acid at a carbon/nitrogen (C/N) molar ratio of 0.25. This synthesis via solutions allowed the target materials with major phases of magnesium metatitanate MgTiO₃, magnesium dititanate MgTi₂O₅, and magnesium titanate Mg₂TiO₄ to be obtained after heat treatment at 750 °C. Heterostructured mesoporous TiO₂/MgO powders with a specific surface area of 22.0–28.4 m²/g had an average diameter of the predominant pores of 10–30 nm. The greatest degree of photocatalytic oxidation of fluorene, pyrene, and benzpyrene (80, 68, and 53%, respectively) was obtained when it was combined with the TiO₂/MgTi₂O₅/MgTiO₃ nanocomposite under visible light irradiation. This study showed that mesoporous TiO₂/MgO nanocomposites could be used as photooxidation catalysts for polycyclic aromatic hydrocarbons. The maximum level of photocatalytic oxidation of polycyclic aromatic hydrocarbons in TiO₂/MgO nanocomposites occurred at pH 7 and a photocatalyst dose of 1 mg/L under the influence of normal solar radiation.\u0000</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"32 9","pages":"5628 - 5637"},"PeriodicalIF":5.8,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11356-025-36055-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143405082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: Editorial trend: adverse outcome pathway (AOP) and computational strategy — towards new perspectives in ecotoxicology","authors":"Damien Baudiffier,&nbsp;Karine Audouze,&nbsp;Olivier Armant,&nbsp;Sandrine Frelon,&nbsp;Sandrine Charles,&nbsp;Remy Beaudouin,&nbsp;Claudia Cosio,&nbsp;Laurence Payrastre,&nbsp;David Siaussat,&nbsp;Thierry Burgeot,&nbsp;Aourell Mauffret,&nbsp;Davide Degli Esposti,&nbsp;Christian Mougin,&nbsp;Delphine Delaunay,&nbsp;Xavier Coumoul","doi":"10.1007/s11356-025-36073-4","DOIUrl":"10.1007/s11356-025-36073-4","url":null,"abstract":"","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"32 8","pages":"4926 - 4926"},"PeriodicalIF":5.8,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143405078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Challenging the impact of consortium diversity on bioaugmentation efficiency and native bacterial community structure in an acutely PAH-contaminated soil","authors":"Esteban Emanuel Nieto,&nbsp;Sabrina Festa,&nbsp;Deborah Colman,&nbsp;Marianela Macchi,&nbsp;Irma Susana Morelli,&nbsp;Bibiana Marina Coppotelli","doi":"10.1007/s11356-025-35987-3","DOIUrl":"10.1007/s11356-025-35987-3","url":null,"abstract":"<div><p>Polycyclic aromatic hydrocarbons (PAHs) are priority pollutants. We studied the effect of bioaugmentation using three allochthonous bacterial consortia with increasing diversity: SC AMBk, SC1, and SC4, on the structure and functionality of an artificially and acutely PAH-contaminated soil microbiome. The PAH supplementation increased substrate availability, allowing the inocula to efficiently degrade the supplemented PAHs after 15 days of incubation, become temporarily established, and modify the number of total interactions with soil residents. <i>Sphingobium</i> and <i>Burkholderia</i>, both members of the inoculants, were the major contributors to functional KOs (KEGG orthologs) linked to degradation and were differentially abundant genera in inoculated microcosms, indicating their competitiveness in the soil. Hence, bioaugmentation efficiency relied on them, while further degradation could be carried out by native microorganisms. This is one of the first studies to apply three inocula, designed from naturally occurring bacteria, and to study their effect on the soil’s native community through ANCOM-BC. We revealed that when a resource that can be used by the inoculant is added to the soil, a high-diversity inoculant is not necessary to interact with the native community and establish itself. This finding is crucial for the design of microbiome engineering in bioremediation processes.</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"32 9","pages":"5589 - 5604"},"PeriodicalIF":5.8,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143405055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Multiphase photochemical reactions as sinks of nanoplastic photodissolution products in aqueous environments: a model study for benzene.","authors":"Davide Vione, Monica Passananti, Marco Minella, Luca Carena","doi":"10.1007/s11356-025-36042-x","DOIUrl":"https://doi.org/10.1007/s11356-025-36042-x","url":null,"abstract":"<p><p>Carcinogenic benzene is the most concerning product of the irradiation of polystyrene nanoplastics in aqueous suspension. Interestingly, benzene formed in water from polystyrene can volatilise to the gas phase or react with aqueous-phase hydroxyl radicals (^•OH_(w)) to produce toxic phenol. The persistence of benzene in water would range from some weeks to some months, and the branching ratio between the ^•OH_(w) reaction and volatilisation mainly depends on water depth and the DOC (dissolved organic carbon) concentration. Actually, benzene volatilisation is particularly important in shallow waters (1-2 m depth), or even in relatively deep waters (> 5 m) if the DOC value is high enough (> 5 mg_C L^-1). Aqueous phenol formed from benzene + ^•OH_(w) reacts in turn with ^•OH_(w), the carbonate radical (CO₃^•-_(w)), and the triplet states of chromophoric dissolved organic matter (³CDOM*_(w)) in different proportions, depending on water chemistry. In the gas phase, benzene reacts with ^•OH_(g) to produce phenol, which in turn reacts with ^•OH_(g) and especially with the nitrate radical (^•NO_{3 (g)}). The overall degradation is fast enough for phenol to reach an extremely low steady-state concentration in the atmosphere. However, up to 50% of the initial water-dissolved benzene would produce gas-phase phenol as intermediate compound and, eventually, yield phytotoxic nitrophenols. Among the latter, 4-nitrophenol has strong potential to partition into atmospheric waters and reach back aqueous environments (or soil) via wet depositions. To a lesser extent, similar phenomena would involve the highly phytotoxic 2,4-dinitrophenol.</p>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":" ","pages":""},"PeriodicalIF":5.8,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}