Environmental Advances最新文献

{"title":"A systematic review of biomonitoring microplastics in environmental matrices: Emphasis on airborne particles, dry deposits, and comparative analysis with traditional methods","authors":"Faezeh Jahedi ,&nbsp;Neamatollah Jaafarzadeh Haghighi Fard ,&nbsp;Andrew Turner","doi":"10.1016/j.envadv.2025.100609","DOIUrl":"10.1016/j.envadv.2025.100609","url":null,"abstract":"<div><div>The use of plastics continues to rise each year due to their versatility and essential role in industries like manufacturing, agriculture, and food packaging. However, plastics present a serious environmental challenge because they take over 500 years to decompose. During this time, they break down into tiny particles known as microplastics (MPs), which are now found everywhere, water, soil, and even the air we breathe. Recently, researchers have even detected MPs in clouds, making their presence in the atmosphere a growing concern for both the environment and public health. Traditional methods for sampling MPs in the air, such as active and passive techniques, can be expensive and complicated, often requiring specialized equipment and expertise. This has sparked interest in biomonitoring—an eco-friendly alternative that uses plants, mosses, and lichens to naturally trap MPs from the air. Biomonitoring offers a simpler, more cost-effective, and non-invasive way to study airborne MPs, providing a potential solution for long-term monitoring of air quality. In this review, we examine studies that have explored the use of plants to monitor atmospheric MPs and compare these methods with traditional sampling techniques. We highlight the advantages and limitations of both approaches, focusing on how biomonitoring can offer important insights into the types, concentrations, and distribution of MPs in the air. Additionally, biomonitoring helps us understand how these pollutants might be impacting living organisms. With MP pollution becoming an increasingly urgent issue, this review underscores the value of biomonitoring as a practical and sustainable tool for policymakers and environmental managers looking to address the growing problem of atmospheric MPs.</div></div>","PeriodicalId":34473,"journal":{"name":"Environmental Advances","volume":"19 ","pages":"Article 100609"},"PeriodicalIF":0.0,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of meteorological factors on air pollution and health risks: A comparative analysis of industrial and urban areas in Chonburi Province, Thailand","authors":"Teeranun Nakyai ,&nbsp;Mattana Santasnachok ,&nbsp;Anamai Thetkathuek ,&nbsp;Nantaporn Phatrabuddha","doi":"10.1016/j.envadv.2024.100608","DOIUrl":"10.1016/j.envadv.2024.100608","url":null,"abstract":"<div><div>Air pollution is a major global issue due to its short- and long-term effects on public health, with meteorological factors significantly influencing its spread. This study compared the relationships between meteorological factors, air pollution concentrations, and health risk assessments in the urban and industrial areas of Chonburi Province, Thailand. Data on air pollutant concentrations and meteorological factors spanning 10 years (2012–2021) were collected from automatic air pollution monitoring stations operated by the Thailand Pollution Control Department and Thai Meteorological Department. The results revealed that air pollutant concentrations were the highest during the winter season in industrial and urban areas. Pearson's correlation analysis indicated a positive correlation between atmospheric pressure and the concentrations of NO₂, particulate matter with diameters &lt;10 μm (PM₁₀), and &lt;2.5 μm (PM_2.5). Conversely, relative humidity (RH), rainfall, and wind speed were negatively correlated with pollutant concentrations. In urban areas, rainfall and RH were negatively correlated with NO₂, CO, O₃, PM₁₀, and PM_2.5. Multiple linear regression analysis indicated that meteorological factors moderately influenced O₃, PM₁₀, and PM_2.5 in urban and industrial areas. Industrial areas have higher hazard quotient (HQ) values than urban areas. Notably, the industrial area exhibited higher HQ values than the urban area, with the maximum HQ reaching 1.224 during winter. The results of this study are crucial for planning and developing effective strategies to mitigate the health risks to both the general public and workers from exposure to air pollution.</div></div>","PeriodicalId":34473,"journal":{"name":"Environmental Advances","volume":"19 ","pages":"Article 100608"},"PeriodicalIF":0.0,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating clustering algorithms and machine learning to optimize regional snapshot municipal solid waste management for achieving sustainable development goals","authors":"Achara Taweesan ,&nbsp;Thongchai Kanabkaew ,&nbsp;Nawatch Surinkul ,&nbsp;Chongrak Polprasert","doi":"10.1016/j.envadv.2024.100607","DOIUrl":"10.1016/j.envadv.2024.100607","url":null,"abstract":"<div><div>Effective municipal solid waste management (MSWM) is essential for sustainable urban development, significantly impacting environmental health, economic efficiency, and social well-being. It aligns with Sustainable Development Goal 11 (SDG11), which aims to make cities inclusive, safe, resilient, and sustainable by ensuring waste is safely managed from collection to disposal. This study evaluates the performance of MSWM practices across various cities in different regions, updated as of March 2023, to assess the achievement of SDG11. By reviewing published literature and conducting questionnaire surveys and key informant interviews with government authorities and service providers, data on access to managed MSW facilities were collected from 470 cities across various income-level regions to monitor MSWM progress toward SDG11 targets. Clustering algorithms and machine learning were employed to identify patterns and enhance MSWM practices across these regions, focusing on achieving SDG11. Hierarchical cluster analysis identified four clusters based on MSWM performance: high-income, upper-middle-income, lower-middle-income, and low-income regions. The developed decision-tree models provided a comprehensive analysis of effective MSW collection and disposal, achieving accuracies of approximately 75 % and 73 %, respectively. The models highlighted the importance of high collection coverage, proper disposal facilities, and robust institutional frameworks in achieving effective MSWM. The findings emphasize the need for targeted interventions and advanced analytical methods to enhance regional MSWM strategies, supporting the attainment of SDG11.</div></div>","PeriodicalId":34473,"journal":{"name":"Environmental Advances","volume":"19 ","pages":"Article 100607"},"PeriodicalIF":0.0,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive characterization for efficient adsorption of Tetracycline from wastewater from the synthesis of nanoparticles by batch and fluidized bed column","authors":"Inas S. Aldabagh ,&nbsp;Khalid Khazzal Hummadi","doi":"10.1016/j.envadv.2024.100606","DOIUrl":"10.1016/j.envadv.2024.100606","url":null,"abstract":"<div><div>A novel cost-effective reactive adsorbent, WS/MgONPs, composed of walnut shells (WS) and magnesium oxide nanoparticles (MgONPs) prepared from magnesium acetate tetrahydrate, as verified by FE-SEM, EDX, BET, FTIR, and XRD studies. Was synthesized and shown excellent removal of tetracycline (TEC) from wastewater. The synthesized WS/MgONPs performed various batch and fluidized bed column studies to ascertain the optimal employed parameters. Results showed that WS/MgONPs adsorption capacity increases with the concentration gradient. A 0.07 g of the adsorbent was proven sufficient to remove &gt;87.4% of TEC initial dose of 50 mg/L in 1000 mL of deionized water with an agitation speed of 200 rpm for 70 min. The adsorption isotherms conformed to both the Langmuir and Freundlich models, but the Langmuir model exhibited a more accurate fit to experimental data, with loading capacity determined to be 216.511 mg/g at pH 7 and 25°C, while the pseudo-second-order model most accurately characterized the absorption kinetics, obtaining a rate constant of k₂ = 0.0025 g/mg min. Fluidized bed columns with various operational conditions were used, the minimum fluidization velocity (V_mf) of the bed was influenced by flow rate (Q), bed height (H_S), and initial concentration (C_o). Experiments work revealed that decreasing flow rate and concentration of TEC, while enhancing the sorbent mass, substantially extended the effective lifetime of the synthesis sorbent inside the fluidized bed column. The observed breakthrough curves were optimally fitted using the Thomas (TH) model, which yielded the greatest R² values with the minimal sum of squared errors (SSE). Finally, the results obtained highlight the novel synthesized WS/MgONPs exceptional effectiveness and eco-friendly in addressing TEC in pharmaceutical wastewater, establishing it as a viable option for sustainable and economical wastewater treatment solutions. This study provides significant insights into the creation of improved adsorption materials for pharmaceutical adsorption in wastewater treatment.</div></div>","PeriodicalId":34473,"journal":{"name":"Environmental Advances","volume":"19 ","pages":"Article 100606"},"PeriodicalIF":0.0,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Medicating the environment? A critical review on the risks of carbamazepine, diclofenac and ibuprofen to aquatic organisms” [Environmental Advances 7 (2022) pp. 1–14/100164]","authors":"Niña Sarah P. Batucan ,&nbsp;Louis A. Tremblay ,&nbsp;Grant L. Northcott ,&nbsp;Christoph D. Matthaei","doi":"10.1016/j.envadv.2023.100423","DOIUrl":"10.1016/j.envadv.2023.100423","url":null,"abstract":"","PeriodicalId":34473,"journal":{"name":"Environmental Advances","volume":"19 ","pages":"Article 100423"},"PeriodicalIF":0.0,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge, awareness, and practice (KAP) of Thai paediatricians in their child advocacy role regarding the health effects of particulate matter on children","authors":"Ratchaneewan Sinitkul ,&nbsp;Chanatpon Aonnuam ,&nbsp;Sasivimol Rattanasiri ,&nbsp;Wiparat Manuyakorn ,&nbsp;Aroonwan Preutthipan ,&nbsp;Harutai Kamalaporn","doi":"10.1016/j.envadv.2024.100605","DOIUrl":"10.1016/j.envadv.2024.100605","url":null,"abstract":"<div><div>The impact of fine particulate matter (PM_2.5) airway pollution is common in many large cities globally but is particularly prevalent in Asia. Paediatricians have been involved in a front role of child advocacy, but little is known about the knowledge, awareness, and practice (KAP) of PM_2.5 among them. This survey assessed the KAP of PM_2.5 among Thai paediatricians and explored links to improve PM_2.5 health protection in children. The electronic questionnaire was given to paediatricians across various regions of Thailand. Out of 400 respondents, 399 participated. Results showed high self-evaluated knowledge of PM, PM₁₀ and PM_2.5. Recognition of PM_2.5 impact on children's health, such as asthma, sinusitis, and recurrent infections, was notable. Less understood were the effects of abortion, congenital anomalies, and obesity. Over 90 % agreed their communities faced PM_2.5 problems and advocating for PM_2.5 protection was a paediatrician's role, but 55 % felt confident in community communication about PM_2.5. Based on the recommendations of the Royal College of Pediatricians of Thailand (RCPT), the practice score indicated that 94 % could advise on PM_2.5 prevention. Knowledge, awareness, and practice related to PM_2.5 issues were associated with each other. Age, subspecialty graduation, advocacy role agreement, and awareness of PM_2.5 in their community were also linked to confidence in public communication with PM_2.5 issues.</div><div>In conclusion, associations between knowledge, awareness, and practice related to PM_2.5 were observed among Thai paediatricians. While awareness and general knowledge were high, confidence in community communication was relatively low. Recommendations include improving public communication skills and providing environmental health learning opportunities during training and continuing education.</div></div>","PeriodicalId":34473,"journal":{"name":"Environmental Advances","volume":"19 ","pages":"Article 100605"},"PeriodicalIF":0.0,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Remote sensing-based agricultural drought mapping in Northern Jordan using Landsat and MODIS data","authors":"Obada Badarneh ,&nbsp;Khaled Hazaymeh ,&nbsp;Ali Almagbile ,&nbsp;Sattam Al Shogoor","doi":"10.1016/j.envadv.2024.100602","DOIUrl":"10.1016/j.envadv.2024.100602","url":null,"abstract":"<div><div>Monitoring agricultural drought in a semi-arid environment is critical, especially during the growing season, as it negatively impacts vegetation health and crop yield. This study aimed to monitor the spatiotemporal variation of agricultural drought in Northern Jordan using Landsat-8 and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data. The Spatio-Temporal Image Fusion Model (STI-FM) was used to produce synthetic Landsat images with a high spatiotemporal resolution (30 m / 8 days) by utilizing a pair of successive MODIS images at two points in time (time-1 and time-2) and one Landsat-8 image at time-1. Agricultural drought was mapped and monitored using spectral indices namely, Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI). Additionally, the Standard Precipitation Index (SPI) -based meteorological rainfall data was used to validate the accuracy of the drought maps. The results revealed significant spatiotemporal variations in drought conditions, with April 2020 showing the least dry conditions, while 2019 was identified as the driest year. Validation through SPI indicated high accuracy, with kappa values ranging from 0.70 to 0.85 and overall accuracy ranging from 80 % to 92 %. Furthermore, the STI-FM data fusion algorithm effectively generated high-resolution Landsat-8 images, demonstrating a strong correlation between original and synthetic images for the red and NIR spectral bands (0.93 and 0.84, respectively). These findings highlight the effectiveness of integrating STI-FM with spectral indices and SPI for accurate and high-resolution agricultural drought monitoring, which can support improved water resource management and agricultural planning in semi-arid regions.</div></div>","PeriodicalId":34473,"journal":{"name":"Environmental Advances","volume":"18 ","pages":"Article 100602"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An update on adverse health effects from exposure to PM2.5","authors":"Sarawut Sangkham ,&nbsp;Worradorn Phairuang ,&nbsp;Samendra P. Sherchan ,&nbsp;Nattapon Pansakun ,&nbsp;Narongsuk Munkong ,&nbsp;Kritsada Sarndhong ,&nbsp;Md. Aminul Islam ,&nbsp;Pornpun Sakunkoo","doi":"10.1016/j.envadv.2024.100603","DOIUrl":"10.1016/j.envadv.2024.100603","url":null,"abstract":"<div><div>The impact of fine particulate matter (PM_2.5) on public health has become a global concern due to the mortality and morbidity it entails. Pathophysiological and epidemiological studies have demonstrated an association between PM_2.5 and respiratory diseases, cardiovascular diseases, and neurological disorders. The underlying mechanisms through which PM_2.5 adversely affects human health include the induction of oxidative stress, cytokine release, deoxyribonucleic acid (DNA) damage, altered gene expression, immune toxicity, inflammatory responses, and apoptosis. These outcomes drive the initiation and progression of various diseases. Notably, exposure to PM_2.5 containing chemical compounds may translocate and induce unbalanced intracellular functions at the genetic and epigenetic levels, leading to mutations, carcinogenesis, and multiple diseases. This review aims to summarise and discuss recent updates on the mechanisms linking PM_2.5 exposure to adverse health, highlighting the critical connection between PM_2.5 and health outcomes, with the hope of raising awareness and promoting measures to reduce PM_2.5 levels worldwide.</div></div>","PeriodicalId":34473,"journal":{"name":"Environmental Advances","volume":"18 ","pages":"Article 100603"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of location suitability prediction for health facilities using random forest machine learning in 2030 integrating remote sensing and GIS in West Java, Indonesia","authors":"Riantini Virtriana ,&nbsp;Kalingga Titon Nur Ihsan ,&nbsp;Tania Septi Anggraini ,&nbsp;Albertus Deliar ,&nbsp;Agung Budi Harto ,&nbsp;Akhmad Riqqi ,&nbsp;Anjar Dimara Sakti","doi":"10.1016/j.envadv.2024.100604","DOIUrl":"10.1016/j.envadv.2024.100604","url":null,"abstract":"<div><div>Access to healthcare facilities is crucial in the present day. Healthcare facilities must be proportional to the population in a given area. Therefore, it is important to increase the number of healthcare facilities in regions where there is an imbalance. Proper planning and a sustainability review are necessary when determining locations for healthcare facilities. Environmental changes can affect the suitability of a location in the future. Thus, planning that can predict future suitability conditions is required to ensure that the built locations have high sustainability. This study predicts the suitability of healthcare facility locations in 2030 in West Java using remote sensing and Geographic Information System (GIS). Both static and dynamic data processed at 30×30 meter intervals across West Java will be used. Geospatial and remote sensing data are utilized in the study. Dynamic parameter extrapolation uses data from 2000 to 2018. The random forest machine learning method is employed to obtain the suitability values for healthcare facility locations using existing health facility training data in West Java. The results show changes in the suitability classes of healthcare facilities in each region from 2018 to 2030, with some areas experiencing an increase or decrease in class. This research highlights consistently suitable locations, ensuring their sustainability as healthcare facility sites.</div></div>","PeriodicalId":34473,"journal":{"name":"Environmental Advances","volume":"19 ","pages":"Article 100604"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An insight into the toxicological impacts of carbon nanotubes (CNTs) on human health: A review","authors":"Shikha Awasthi ,&nbsp;Ankur Srivastava ,&nbsp;Deepak Kumar ,&nbsp;Sarvesh Kumar Pandey ,&nbsp;Nabisab Mujawar Mubarak ,&nbsp;Mohammad Hadi Dehghani ,&nbsp;Khalid Ansari","doi":"10.1016/j.envadv.2024.100601","DOIUrl":"10.1016/j.envadv.2024.100601","url":null,"abstract":"<div><div>Carbon nanotubes (CNTs) have gained significant attention due to their unique mechanical, electrical, and thermal properties. These exciting properties of CNTs make them productive in various applications, from electronics to optics to therapeutics. However, concerns about the potential toxicity of carbon nanotubes have also been raised, prompting extensive research to understand their effects on human health and the environment. Several studies have investigated the toxicity of carbon nanotubes, and the results vary depending on factors such as size, shape, surface chemistry, and the route of exposure. This review highlights the toxicological aspects of CNTs with a special focus on the major consequences of CNT toxicity. The study unfolds the prospects on how the toxicity of CNTs causes adverse effects on the central nervous system, kidney, spleen, eye, cardiac, etc., and thus can influence numerous applications covering from clinical to environmental. Moreover, the report offers an imperative deliberation over the curing or remedies of CNT toxicity, which can provide collective insights for the researchers. Thus, this review report provides the developments, implications, and different approaches to CNT toxicity so that the readers can clearly understand the wide-ranging forecasts of CNT toxicity.</div></div>","PeriodicalId":34473,"journal":{"name":"Environmental Advances","volume":"18 ","pages":"Article 100601"},"PeriodicalIF":0.0,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}