{"title":"Time-weighted assessment of personal PM2.5 exposure of patients with allergies using portable monitors in Seoul Metropolitan Area, Korea","authors":"Hyeok Jang, Shin-Young Park, Cheol-Min Lee","doi":"10.1007/s10661-025-14109-z","DOIUrl":"10.1007/s10661-025-14109-z","url":null,"abstract":"<div><p>Patients with allergies are more sensitive to fine particulate matter (PM2.5) than the general population; however, since PM2.5 exposure levels are influenced by microenvironments, time, and activity patterns, epidemiological studies using conventional stationary monitors face challenges in accurately estimating personal exposure levels. Therefore, this study analyzed the personal PM2.5 exposure characteristics of 86 individuals with allergies living in Seoul using portable monitors and GPS units from February to April 2024. The Kolmogorov–Smirnov test confirmed that the measured PM2.5 concentrations did not follow a normal distribution. Therefore, non-parametric statistical methods such as the Kruskal–Wallis and Wilcoxon rank-sum tests were used to assess statistically significant differences in PM2.5 concentrations. Over 90% of their time was spent indoors, with outdoor environments and schools (weekdays) and transportation (weekends) having the highest average PM2.5 concentrations. The lowest PM2.5 concentrations were consistently observed at home on both weekdays (12.76 μg/m<sup>3</sup>) and weekends (13.46 μg/m<sup>3</sup>). Despite this, the time spent at home resulted in the highest integrated exposure levels (weekdays: 58.25%; weekends: 71.14%). The highest levels of time spent and integrated exposure at home were similarly observed across all five subpopulations (child, student, employed, unemployed, and housewife). The average PM2.5 exposure concentrations did not exceed the WHO 24-h PM2.5 exposure guideline of 15 μg/m<sup>3</sup>. However, analysis of the 5-min interval personal PM2.5 exposure concentrations revealed that participants exceeded this threshold 5.9% and 31.25% of the time on weekdays and weekends, respectively, indicating a higher frequency of high-concentration exposure on weekends. These findings quantitatively identify the primary microenvironments where patients with allergies are exposed to PM2.5 during the day and demonstrate that personalized air quality information provides better insights into personal PM2.5 exposure sources. These results should serve as foundational data for technology development aimed at elucidating the correlation between PM2.5 exposure and allergic diseases and for providing personalized air quality management guidelines.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-14109-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"High spatio-temporal resolution estimation of urban road traffic carbon dioxide emissions and analysis of influencing factors using GPS trajectory data","authors":"Xiuquan Li, Zheming Zhang, Binbin Ma, Dunyong Zheng, Wentao Yang, Yingwei Yan","doi":"10.1007/s10661-025-14116-0","DOIUrl":"10.1007/s10661-025-14116-0","url":null,"abstract":"<div><p>Road traffic carbon dioxide (CO<sub>2</sub>) has a fundamental role in global warming. Accurately estimating and understanding the spatio-temporal patterns of urban road traffic CO<sub>2</sub> emissions plays a fundamental role in developing targeted reduction strategies. However, few studies have estimated CO<sub>2</sub> emissions at the urban road scale with fine spatio-temporal resolution. Therefore, this study adopted a bottom-up method to estimate urban road traffic CO<sub>2</sub> emissions using Global Positioning System (GPS) trajectory data. Urban road traffic CO<sub>2</sub> emissions from individual vehicles are estimated using a vehicle trajectory-driven CO<sub>2</sub> emission model The aggregated results are mapped within Traffic Analysis Zones (TAZ) to create CO<sub>2</sub> emission distribution maps with minute-level temporal and road-level spatial resolution. The Multiscale Geographically Weighted Regression (MGWR) model is employed to analyze the impact of various elements of the built environment on urban road transport CO<sub>2</sub> emissions. Experimental results indicate that road traffic CO<sub>2</sub> emissions in Hangzhou have spatio-temporal heterogeneity. Road traffic CO<sub>2</sub> emission hotspots are concentrated along main roads such as Shixiang Road, the City Ring Expressway, and Shiqiao Road. Further analysis indicates that population density, main road density, availability of bus stops, and length of bike lanes exert a significant influence on urban road transport CO<sub>2</sub> emissions in Hangzhou. These findings enhance our recognition of the combined effects of the various elements of the built environment on urban road transport CO<sub>2</sub> emissions. This study introduces a method for estimating CO<sub>2</sub> emissions at the street level using vehicle trajectory information. It provides high spatio-temporal resolution CO<sub>2</sub> emission distribution maps to support carbon emissions reduction strategies in urban transportation.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108565","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}
Meltem Guven, Birol Isik, Fatih Cakar, Ozlem Cankurtaran
{"title":"Removal of toxic methylene blue dye from aqueous solutions by adsorption technique using magnetic loaded tea waste and its sodium alginate composite microspheres","authors":"Meltem Guven, Birol Isik, Fatih Cakar, Ozlem Cankurtaran","doi":"10.1007/s10661-025-14107-1","DOIUrl":"10.1007/s10661-025-14107-1","url":null,"abstract":"<div><p>This study presents the utilization of Fe<sub>3</sub>O<sub>4</sub>-doped black tea waste (TW) as an efficient, sustainable, and cost-effective adsorbent for the extraction of MB dye from wastewater, alongside the formulation of composite microbeads created by incorporating varying ratios of the black tea-magnetite mixture into sodium alginate (SA), a natural biopolymer. The characterization of composite microbeads was performed using FTIR-ATR, SEM, EDX, and pH<sub>pzc</sub> analyses. The surface charge of the adsorbent surface was determined as 6.43 from pH<sub>pzc</sub>. From the optimum condition studies, the contact time (60 min), adsorbent dosage (0.1 g/50 mL), and the initial pH (≅ 7) were determined. The raw data were utilized in various non-linear isotherm and kinetic models. The correlation coefficients and error functions indicated that the Langmuir model is the most suitable isotherm model for the adsorption process, with a maximum adsorption capacity of 41.28 mg g<sup>−1</sup> for the SA/TW/Fe<sub>3</sub>O<sub>4</sub>/30 composite microspheres at 298 K. The kinetic and error results indicated that the process adhered to a <i>pseudo-second-order</i> kinetic model. The thermodynamic characteristics indicated that the adsorption process was spontaneous (<span>({Delta G}^{o}=-25.09)</span> kJ mol<sup>−1</sup>) and endothermic (<span>({Delta H}^{o}=+9.03)</span> kJ mol<sup>−1</sup>). Moreover, reusability investigations indicated that the composite microbeads can be utilized multiple times. Following the tenth cycle, the adsorption efficiency fell by 32.33%, resulting in a value of 51.23%. The findings indicate that the developed unique, sustainable, and cost-effective composite microbeads serve as a prospective and highly efficient adsorbent for the elimination of cationic contaminants from wastewater.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-14107-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Alexia Muñoz-Delgado, José de Anda, Ofelia Yadira Lugo-Melchor, Rosa Leonor González-Díaz, Harvey Shear, Demetrio Meza-Rodríguez, Jorge Bravo-Madrigal
{"title":"Microbial risk assessment of fecal indicator bacteria in a highly polluted river: Santiago-Guadalajara River Basin","authors":"Alexia Muñoz-Delgado, José de Anda, Ofelia Yadira Lugo-Melchor, Rosa Leonor González-Díaz, Harvey Shear, Demetrio Meza-Rodríguez, Jorge Bravo-Madrigal","doi":"10.1007/s10661-025-14023-4","DOIUrl":"10.1007/s10661-025-14023-4","url":null,"abstract":"<div><p>The Santiago-Guadalajara River, located in western Mexico, is one of the most polluted rivers in the country, with widespread fecal contamination that presents a potential risk to public health, food safety, and biodiversity. This study investigated the spatial and seasonal behavior of fecal indicator bacteria (FIB) in the Santiago-Guadalajara River Basin (SGRB) using the most probable number (MPN) microbiological quantification technique and measuring the tributary flow rates in the main stem of the river and tributaries. Twenty-five sampling sites were monitored from July 2021 to April 2022. The mean of the microbial counts (MPN/100 mL) at the basin was as follows: total coliforms 2.5 × 10<sup>7</sup>, fecal coliforms 2.2 × 10<sup>7</sup>, and <i>E. coli</i> 2.1 × 10<sup>7</sup>. These FIB values position the Santiago-Guadalajara River as one of the most polluted rivers globally since it significantly exceeds the regulatory limits at the monitored sites, indicating insufficient sanitation infrastructure throughout the basin. A high level of correlation was found between FIB concentrations and monitored stream tributary flows, which allowed modeling the behavior of the FIB with respect to the flow regime throughout the basin. Quantitative microbial risk assessment revealed specific stations with elevated infection risks from <i>Escherichia coli</i> exposure. This field-based study provides valuable insights into the relationship between the variables that influence FIB concentrations in a highly polluted river and the potential risk to the exposed population.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144091215","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":"Geomorphic investigation of glacial and paraglacial landforms in the upper catchment of the Kali Ganga River, Tethyan Himalaya, Uttarakhand, India","authors":"Pinkey Bisht","doi":"10.1007/s10661-025-14090-7","DOIUrl":"10.1007/s10661-025-14090-7","url":null,"abstract":"<div><p>Deglaciated mountainous regions are typically impacted by various paraglacial phenomena, including gradually eroding glacial traces that once were preserved. This study focuses on sustaining glacial landforms and paraglacial processes in the Byans Valley of upper Kali Ganga catchments. Limited glacial action-induced terrain change and infrequent paraglacial events occurred in the lower region. On the contrary, paraglacial processes were highly active in the highest regions where a mountain style of glaciation was established, producing a large number of moraine and rock glaciers. The primary aim of this study is to identify the glacial landforms since they have unique characteristics that are especially tied to glacial processes and act as indicators of climate change. The glacial chronology from the Central Himalayan regions indicate that the last major glacial advance probably occurred during the Late Holocene. Following this, the deglaciation is represented by the recessional moraine, outwash plain, and the proglacial lakes proximal to the present glacier, which can be attributed to the warming climate. The presence of moraine mounds in the vicinity of the modern snout probably represents a minor re-advancement during the Little Ice Age (LIA). The geomorphic expression of a steady decline in ice cover is eloquently manifested by the presence of the supra-glacial lakes and the increasing size of the pro-glacial lakes. The spatial data on the glacial landform features in the region is envisioned to help with the reconstruction of a paleo-glaciological setup using dating methodologies, which will finally fill the information gap concerning the glaciation in the region.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084958","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}
Apurva Sharma, Satish Kumar Bhardwaj, R. K. Aggarwal, Ravinder Sharma, Ghanshyam Agrawal
{"title":"Navigating the heights of environmental impacts of the Himalayan waste management system through life cycle assessment approach","authors":"Apurva Sharma, Satish Kumar Bhardwaj, R. K. Aggarwal, Ravinder Sharma, Ghanshyam Agrawal","doi":"10.1007/s10661-025-14091-6","DOIUrl":"10.1007/s10661-025-14091-6","url":null,"abstract":"<div><p>The Himalayan region, characterized by its unique ecological diversity and fragility, faces escalating challenges related to waste management against the backdrop of global concerns about climate change. Rapid urbanization, population growth, changing consumption patterns, and thriving tourism have intensified the generation of municipal solid waste, contributing to the release of GHGs. This study aimed to quantify GHG emissions associated with waste management practices in the region. LCA was employed to evaluate the environmental impacts of waste management practices, identifying key areas for improvement and sustainable solutions. Contribution of waste management practices of composting, material recovery facilities, waste-to-energy, RDF facilities, landfills, incineration, and waste transportation were assessed in the state of Himachal Pradesh. The municipal solid waste management infrastructures in the state contributed to 3,98,098 tCO<sub>2eq</sub>yr<sup>−1</sup> emissions of which waste transportation and landfills were identified as the major sources, highlighting the constraint of infrastructure in rural areas of the region. They made up 82% of all the emissions from waste management infrastructures in the state. The LCA studies confirmed that landfills for MSW were the major source of environmental incompatibility in the state. However, material recovery and fuel production practices in MSW management facilities drastically reduced the impacts on indicators, namely, abiotic depletion, acidification, freshwater aquatic ecotoxicity, human toxicity, and ozone depletion potential. The findings highlight the pressing need for efficient waste management facilities in the state to bolster climate change resilience and environmental compatibility, given the current inadequacies in infrastructure, processes, and skilled manpower.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084877","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}
Frank Enock Anderson, Reguli Baltazar Mushy, Silvia Francis Materu
{"title":"Seven decades (1950–2020) of tree planting campaign in the tobacco production areas of Tanzania: an insight from land cover/change survey","authors":"Frank Enock Anderson, Reguli Baltazar Mushy, Silvia Francis Materu","doi":"10.1007/s10661-025-14103-5","DOIUrl":"10.1007/s10661-025-14103-5","url":null,"abstract":"<div><p>Tobacco cultivation in Tanzania is frequently linked to deforestation, increasing the risk of desertification and land degradation. To mitigate these effects, decades-long afforestation campaigns have been implemented. However, the effectiveness of these efforts remains understudied, which hinders our understanding of their sustainability and replicability. This study explored the efficacy of these afforestation campaigns, usually conducted in woodlots by analyzing seven decades (1950s to 2020s) of changes in land use and land cover (LULC) in Urambo, Uyui, and Kaliua districts, which are the leading tobacco production areas. LULC classification relied on open-source data and software, utilizing Quantum GIS and Landsat imagery for 2000 and 2020, as well as country’s topographical maps of 1956 and 1976. This study adopted cadastral surveying coupled with digitization of satellite images to estimate area cover of woodlots. The study revealed a 62% decline in forest cover from 28,985 in 1956 to 8,811 sq. km in 2020. This decline is largely due to population growth, which has increased demand for land for settlement and shifting cultivation, leading to more bush and grassland. However, afforestation campaigns have deemed ineffective, as the total area reforested (455 out of 32,715 sq. km) is significantly less than the annual rate of forest loss (315 sq. km per year). The inefficiency of afforestation efforts is partly attributed to the widespread planting of eucalyptus trees, an exotic species that offers limited benefits to farmers, making it an unpopular choice for wood production, including tobacco curing. This study highlights the importance of using productive species <i>Gmelina arborea</i> (beechwood tree) in woodlots, implementing clear fallow periods, and efficient harvesting cycles in plantation forests to ensure regeneration and maintain a balanced ecosystem.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084876","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":"Human-elephant conflict risks in the forest-dominated areas of West Bengal, India","authors":"Utpal Panja, Biswaranjan Mistri","doi":"10.1007/s10661-025-14061-y","DOIUrl":"10.1007/s10661-025-14061-y","url":null,"abstract":"<div><p>The problem of human-elephant conflict (HEC) now appears to be one of the greatest challenges in the forest-based mouzas of West Bengal as well as in India. As per the field survey from 2018–2019 to 2020–2021, a total of 277 (16.55%) and 920 (4.21%) mouzas were identified as HEC-affected out of 1674 and 21,832 recognized mouzas in Northern and Southern parts of West Bengal, respectively. Here, the destruction of crops, huts, death and injury of human, livestocks, and even elephants have been increased year after year. Crop-raiding incident is the most common problem among all that occurs during the <i>milky</i> stage and harvesting stage of paddy. Numerous studies have been carried out showing the pattern of HEC incident in some areas of West Bengal, but none of them have tried to identify the HEC risk depending upon crop-raiding incident in this state. Here, it has been tried to examine the mouza-wise HEC risk based on crop-raiding incident in the stated two parts of West Bengal. Two important parameters, the number of crop fields raided and the total number of crop fields present but not raided, were taken into consideration to measure the HEC risk. The result shows that the Jhargram (0.75–0.98), Medinipur (0.68–0.89), and Rupnarayan (0.68–0.89) forest divisions are the highest HEC risk areas in West Bengal. The most dominant factor as determined from the principal component analysis is the lack of fodder and other biological requirements that are one of the basic needs for survival of the elephants within the forest (0.864). The total risk for raiding crop is 3.21 and 2.93 in the two parts of West Bengal. Here, the paddy and vegetables fields are more prone to be raided. Moreover, descriptive statistics were also used to explain the patterns of crop-raiding incidents. The findings may provide a way out for the sustainable management of HEC risk like establishment of micro-habitat, creation of elephant proof trench/electric fences, and rapid plantation of indigenous plant species in the vacant forest areas, thereby helping the policymakers in wildlife conservation.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074103","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":"Geospatial artificial intelligence for detection and mapping of small water bodies in satellite imagery","authors":"Arati Paul, Srija Kanjilal, Suparn Pathak","doi":"10.1007/s10661-025-14066-7","DOIUrl":"10.1007/s10661-025-14066-7","url":null,"abstract":"<div><p>Remote sensing (RS) data is extensively used in the observation and management of surface water and the detection of water bodies for studying ecological and hydrological processes. Small waterbodies are often neglected because of their tiny presence in the image, but being very large in numbers, they significantly impact the ecosystem. However, the detection of small waterbodies in satellite images is challenging because of their varying sizes and tones. In this work, a geospatial artificial intelligence (GeoAI) approach is proposed to detect small water bodies in RS images and generate a spatial map of it along with area statistics. The proposed approach aims to detect waterbodies of different shapes and sizes including those with vegetation cover. For this purpose, a deep neural network (DNN) is trained using the Indian Space Research Organization’s (ISRO) Cartosat—3 multispectral satellite images, which effectively extracts the boundaries of small water bodies with a mean precision of 0.92 and overall accuracy over 96%. A comparative analysis with other popular existing methods using the same data demonstrates the superior performance of the proposed method. The proposed GeoAI approach efficiently generates a map of small water bodies automatically from the input satellite image which can be utilized for monitoring and management of these micro water resources.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073888","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}
Jiayu Wei, Bo Yan, Chunyan Wang, Fengxu Liu, Yue Zhang
{"title":"Assessment of suspended atmospheric microplastics in Tianjin Binhai New Area: characterization, human health risks, and correlation with weather conditions and Air Quality Index","authors":"Jiayu Wei, Bo Yan, Chunyan Wang, Fengxu Liu, Yue Zhang","doi":"10.1007/s10661-025-14110-6","DOIUrl":"10.1007/s10661-025-14110-6","url":null,"abstract":"<div><p>Suspended atmospheric microplastics (SAMPs), as a critical component of environmental microplastic pollution, have garnered substantial scientific interest. The characterization of SAMPs in urban environments, as well as the potential risks on health, continues to be a topic of significant research interest. This study provides a comprehensive report on the presence of SAMPs in the Binhai New Area of Tianjin, China, based on samples collected during the autumn and winter of 2023–2024 using a medium-flow total suspended particulate (TSP) sampler at a monitoring station. Microplastics were detected in all samples, with concentrations ranging from 0.2 to 1.8 items/m<sup>3</sup> in autumn and from 0.1 to 1.1 items/m<sup>3</sup> in winter, and a total mean of 0.6 ± 0.4 items/m<sup>3</sup>. Particle sizes spanned 12.28–3248.58 µm, with fibrous shapes dominating the morphological composition. Observed colors included black, blue, yellow, transparent, red, and green, with black microplastics being the most prevalent. These SAMPs were composed of polyethylene terephthalate, polyethylene, rayon, polypropylene, and ethylene-ethyl acrylate copolymer. A risk assessment indicated that residents of Binhai New Area, Tianjin City, face a measurable health risk from microplastic exposure. Significant correlations were identified between SAMPs and dew point temperature as well as relative humidity in the autumn. In the winter, significant correlations were observed between the abundance of SAMPs and ground barometric pressure and wind velocity. Weak negative correlations were observed between SAMP abundances and the Air Quality Index (AQI) in both seasons Future research will utilize more advanced technologies and establish a global monitoring network to further explore the sources, distribution, and impacts of atmospheric microplastics.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073655","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}