Air Quality Atmosphere and Health最新文献

{"title":"Characterization of drivers and impacts of dust storms in Cameroon to strengthen early warning systems : case studies of February 2021 and 2023","authors":"E. L. Ndichout Molou,&nbsp;G. M. Guenang,&nbsp;A. J. Komkoua Mbienda,&nbsp;Derbetini A. Vondou,&nbsp;P. Igri Moudi","doi":"10.1007/s11869-026-02052-y","DOIUrl":"10.1007/s11869-026-02052-y","url":null,"abstract":"<div><p>This study examines two major dust storm events over Cameroon, in February 2021 and February 2023, using a multi-dataset framework combining ERA5 reanalysis, CAMS atmospheric products, GPCP and MODIS satellite observations to characterize their meteorological drivers and transport pathways. The analysis shows that both events were associated with suppressed precipitation, low relative humidity, strong northeasterly Harmattan winds, and high surface temperatures, creating favorable conditions for dust uplift and long-range transport. Spatial patterns reveal a coherent southward extension of dust plumes from northern Cameroon toward central and southern regions, with the 2023 event exhibiting a stronger and more persistent aerosol signal than the 2021 event. The results also show that aerosol loading evolves progressively across the domain, confirming a transported dust plume rather than isolated local emission. The main precursors of dust outbreaks were detectable about 24-48 hours before peak aerosol loading, suggesting a useful predictability window for threshold-based early warning, and emphasizing the urgent need for enhanced early warning systems, improved air quality monitoring, sustainable land management, and public awareness programs to mitigate adverse effects of dust storms.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 8","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148750853","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 effect of renewable and non-renewable energy consumption on carbon dioxide emissions in OECD countries: A panel quantile regression approach","authors":"Mehmet Songur,&nbsp;Erginbay Uğurlu,&nbsp;Devran Şanlı,&nbsp;Yusuf Muratoğlu","doi":"10.1007/s11869-026-02051-z","DOIUrl":"10.1007/s11869-026-02051-z","url":null,"abstract":"<div><p>The objective of this study is to examine the impact of renewable and non-renewable energy consumption, income, internet use and urbanization on CO₂ emissions in 38 OECD countries during over the period 1995–2022 using the heterogeneous panel quantile regression technique. The study addresses the existing gap in the literature by analyzing the relationship between income and renewable energy, as well as the Environmental Kuznets Curve (EKC) at specified quantile levels. The findings show that the EKC is more dominant in countries with low CO₂ emissions. Furthermore, the negative relationship between renewable energy consumption and CO₂ emissions becomes considerably more significant in quantiles with higher CO₂ emissions. The research clearly showed that while urbanisation is an important positive factor in increasing CO₂ emissions, the use of the internet as an indicator of digitalization has a decreasing impact on CO₂ emissions. Our study provides valuable insights for policymakers to identify effective strategies for renewable energy adoption, digitalization, and urbanization policies to ensure sustainable development while addressing environmental degradation. The results of this study indicate that in order to achieve green economic development, it is essential for governments to prioritize the utilization of renewable energy sources and the advancement of sustainable urbanization practices. Additional robustness checks based on MMQR and SIVQR estimations confirm the reliability of the empirical findings across alternative quantile estimation techniques.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 8","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148750875","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":"Spatiotemporal assessment of population exposure and premature mortality using models for estimation of PM2.5 concentrations","authors":"Jihun Shin,&nbsp;Jaemin Woo,&nbsp;Youngtae Choe,&nbsp;Gihong Min,&nbsp;Wonho Yang","doi":"10.1007/s11869-026-02072-8","DOIUrl":"10.1007/s11869-026-02072-8","url":null,"abstract":"<p>PM_2.5, a fine particle, is sufficiently dangerous for classification as a Class-1 carcinogen, and it remarkably contributes to premature death. This study aimed to assess population exposure to PM_2.5 in Seoul, South Korea, using data from air quality monitoring stations (AQMSs) and sensor-based monitoring instruments (SAMIs). Five AQMSs were verified using co-location tests, and population distribution data were segmented by sex and age in hourly grids. The population-weighted average concentration (PWAC) was calculated using occupancy rates and indoor-to-outdoor PM_2.5 concentration ratios. Premature death was estimated using a concentration–risk function and compared to those of the WHO (World Health Organization) guidelines. In addition, machine-learning models, including random forest (RF) and a support vector machine (SVM), were used for PM_2.5 estimation, achieving high accuracy (R² =0.83, RMSE = 10.1 µg/m³). The PWAC was found to be approximately 8% higher in spring than in fall, with the average seasonal PM_2.5 levels exceeding the WHO annual standard of 15 µg/m³. Reducing PM_2.5 concentrations to the WHO recommended level of 5 µg/m³ could lower premature deaths by over 70%. A SAMI, when integrated with an AQMS, could enhance real-time PM_2.5 monitoring and forecasting, thereby reducing public-health risks by enabling timely interventions.</p>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 8","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148750666","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":"GreenAirOps: production-ready MLOps for real-time air quality index prediction","authors":"Sahil Goyal,&nbsp;Vaibhav Sharma,&nbsp;Vivek Hotchandani,&nbsp;Girish Mahale,&nbsp;Mayur Gaikwad,&nbsp;Aniket K. Shahade","doi":"10.1007/s11869-026-02068-4","DOIUrl":"10.1007/s11869-026-02068-4","url":null,"abstract":"<div><p>Pollution is a growing problem with dire effects on public health; therefore, accurate prediction of Air Quality Index (AQI) is paramount for both urban development and public health strategy. Here, we present GreenAirOps, a production-ready MLOps system that ingests multithsource environmental data, automatizes preprocessing and feature extraction, and combines Random For- est and XGBoost with ensemble learning for prediction of low-latency, near real-time AQI. This production pipeline has full MLOps pipeline capabilities: Data versioning with DVC; experiment tracking and model registration with MLflow; automated retraining and deployment using GitHub Actions. The deployment infrastructure utilizes Docker containers run on an AWS environ- ment and is designed for production grade. The specific contributions of this work are: an optimized ensemble learning system for low-latency AQI prediction; an end-to-end MLOps system which guarantee reproducibility and operational capability; and a set of production grade functions for auto-retraining, model health monitoring and auto-rollback.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 8","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-026-02068-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148750489","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":"PM2.5 and PM10 exposure assessment: a comparative analysis between personal monitoring and environmental data","authors":"Alessio Carminati,&nbsp;Francesca Borghi,&nbsp;Eleonora Pagani,&nbsp;Giacomo Fanti,&nbsp;Sabrina Rovelli,&nbsp;Carolina Zellino,&nbsp;Andrea Cattaneo,&nbsp;Andrea Spinazzè,&nbsp;Domenico Maria Cavallo","doi":"10.1007/s11869-026-02063-9","DOIUrl":"10.1007/s11869-026-02063-9","url":null,"abstract":"<div><p>The evaluation of personal exposure to PM is a critical component of risk assessment: one of the main challenges is represented by the difficulty in simultaneously obtaining extensive and accurate personal exposure data for large populations. This study provides an empirical comparison between personal PM_2.5 and PM₁₀ exposure measurements and routinely available ambient data from fixed monitoring stations and air quality models in a hybrid working scenario. Time-activity information was also explored to identify activity patterns descriptively associated with larger discrepancies between personal and ambient estimates. To achieve this goal, a complex scenario consisting of a working day from home and a working day from office was considered. Personal exposure data were compared with daily average ambient data retrieved for both the residential and workplace addresses of each subject, using three different approaches: (i) Address-Specific; (ii) Residential-Address; (iii) Workplace-Address. According to the results, ambient data may provide useful proxies for average exposures whereas their ability to represent individual exposure was limited. Exceptions were observed for PM_2.5 ambient data from monitoring for the Address-Specific and Residential-Address references. The main discrepancies were observed at high personal exposure levels, where ambient data showed a strong tendency to underestimate. Finally, larger discrepancies were descriptively associated with selected activity patterns, including indoor free time away from home, personal care, and secondhand smoke exposure.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 8","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-026-02063-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148750665","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":"Early-pregnancy exposure to air pollution and stillbirth in São Paulo, Brazil – results from the FetRisks case-control study","authors":"Rafael Buralli,&nbsp;Dario Ezequiel Elias,&nbsp;Cláudio Makoto Kanai,&nbsp;Lays Janaina Prazeres Marques,&nbsp;Osmara Alves dos Santos,&nbsp;Gizelton Pereira Alencar,&nbsp;Zilda Pereira da Silva,&nbsp;Gerusa Maria Figueiredo,&nbsp;Mara S. Hoshida,&nbsp;Laura Rodrigues,&nbsp;Rossana Pulcineli Vieira Francisco,&nbsp;Hillegonda Maria Dutilh Novaes,&nbsp;Marcia Furquim de Almeida,&nbsp;Nelson Gouveia","doi":"10.1007/s11869-026-02071-9","DOIUrl":"10.1007/s11869-026-02071-9","url":null,"abstract":"<div><p>Stillbirth remains a major public health concern, particularly in urban settings with persistent air pollution, while evidence remains limited in middle-income countries. This study aims to examine the association between prenatal exposure to fine particulate matter (PM2.5) PM2.5 and stillbirth in São Paulo, Brazil. Case-control study including 348 antepartum stillbirths and 419 live births recruited from 14 public hospitals. PM2.5 exposure was estimated using residential addresses linked to the nearest air quality monitoring station. We evaluated median PM2.5 levels during the first trimester of pregnancy and sustained higher PM2.5 exposure episodes (&gt; 12.7 µg/m³ for ≥ 3 weeks). We explored the interaction between air pollution and maternal factors. Multiple logistic regression models were adjusted for maternal sociodemographics. All participants were exposed to PM2.5 concentrations substantially above the WHO Air Quality Guidelines. Sustained higher PM2.5 exposure was associated with higher odds of stillbirth (ORadj 1.51; 95% CI: 1.03–2.25) and showed a significant interaction with maternal age ≥ 35 years, increasing the odds of having a stillbirth (ratio of ORadj 2.55 [95% CI: 1.08–6.23]). Stillbirth was associated with episodes of sustained higher PM2.5 exposure in early pregnancy, in a context where all women experienced high pollutant levels. The coexistence of high baseline PM2.5 exposure and multiple maternal vulnerabilities underscore the need for integrated strategies addressing air quality, health equity, and perinatal care to reduce preventable stillbirths in highly polluted urban environments.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 8","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-026-02071-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148750667","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":"Health impacts of PM2.5 exposure at moderate concentrations (below 35 µg/m3)","authors":"Sangcheol Kim,&nbsp;Pyeolnim Park","doi":"10.1007/s11869-026-02067-5","DOIUrl":"10.1007/s11869-026-02067-5","url":null,"abstract":"<div><p>Fine particulate matter (PM_2.5) is one of the environmental risk factors threatening human health. Many epidemiological studies have revealed the close relationships between PM_2.5 exposure and cause-specific mortality in urban areas globally while majority of them analyzed health impacts across all concentration levels. South Korea, one of the countries suffering from severe PM_2.5 pollution, has invested substantial budgets and made comprehensive, cross-governmental efforts to reduce ambient PM_2.5. As a result, the average PM_2.5 concentrations in the country have considerably decreased over the past decade. However, a close investigation into health impacts is required, despite the decrease in PM_2.5 mass concentrations given that no evidence suggests the existence of a safe PM_2.5 exposure level. South Korea implements a PM_2.5 alert system since 2015 to mitigate adverse health impacts on its population. Under this system, alerts are lifted when concentrations fall below 35 µg/m³, a value significantly higher than the World Health Organization’s guideline of 5 µg/m³. Given this context, the present study investigated the associations between PM_2.5 exposure and mortality, specifically examining concentrations below 35 µg/m³. The findings of our study showed that the impacts of PM_2.5 exposure on mortality still exist even at moderate PM_2.5 concentrations while PM_2.5 chemical species significantly associated with mortality vary by region. Our results highlight the need for continued air quality improvements, particularly for region-specific constituents.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 8","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148628464","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":"Linking traffic congestion, spatiotemporal pollutant patterns, and LEZ siting in a megacity: a case study of Jakarta","authors":"Meilia Dwi Ramdhani,&nbsp;Hayati Sari Hasibuan,&nbsp;Albertus Sulaiman","doi":"10.1007/s11869-026-02054-w","DOIUrl":"10.1007/s11869-026-02054-w","url":null,"abstract":"<div><p>Understanding the interaction between traffic congestion and air pollution is critical for designing effective Low Emission Zone (LEZ) in megacities, where air quality poses serious environmental and public health challenges. This study examines the spatiotemporal characteristics of major air pollutants in Jakarta and analyzes their relationship with traffic performance and public transport accessibility using Geographical Information System (GIS) analysis to identify priority locations for LEZ implementation. Spatial analysis indicates that nitrogen dioxide (NO₂) concentrations are highest in the urban core, carbon monoxide (CO) shows elevated levels in central area and the western–southern peripheral areas and fine particulate matter (PM₂.₅) is predominantly concentrated in the western and eastern peripheral areas. Sulphur dioxide (SO₂) is closely associated with industrial zones, particularly in North and East Jakarta. Seasonal analysis shows that NO₂, CO, and PM₂.₅ peak during the dry season, while SO₂ remains relatively stable. By integrating air pollutant distributions with traffic indicators, including Level of Service (LoS) and peak hour traffic volumes, areas experiencing severe congestion (LoS E–F) and dominated by motorcycles and light vehicles are identified as critical emission hotspots. An assessment of public transport accessibility further shows that many highly polluted and congested corridors are well served by mass transit systems and are characterized by mixed use urban functions. Based on a multi criteria evaluation incorporating air quality, traffic conditions, and transport accessibility, three priority LEZ locations are identified, primarily within Transit Oriented Development (TOD) areas. The proposed framework offers a robust, data driven basis for LEZ planning in megacities.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 8","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614949","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":"Moss in situ biomonitoring technique for the assessment of air pollution by potentially toxic elements in urban and rural areas in Bosnia and Herzegovina","authors":"Emina Ramic,&nbsp;S. Zero,&nbsp;J. Huremovic","doi":"10.1007/s11869-026-02065-7","DOIUrl":"10.1007/s11869-026-02065-7","url":null,"abstract":"<div><p>Atmospheric deposition of potentially toxic elements in Bosnia and Herzegovina (BiH) was assessed using the moss <i>Hypnum cupressiforme</i> as a biomonitor. Moss samples were collected from 44 urban and rural sites across BiH, and concentrations of Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn were determined by flame atomic absorption spectrometry (FAAS) and scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDS), which adds elemental information about the samples surface characterization. Statistical evaluation included non-parametric analysis, Spearman correlation, principal component analysis (PCA) and hierarchical cluster analysis (HCA). Fe and Ni concentrations exceeded European median values in both urban and rural environments, while Cd and Pb remained lower or comparable to European levels. No statistically significant differences (<i>p</i> &gt; 0.05) were observed between urban and rural sites, suggesting diffuse regional atmospheric deposition influenced by long-range transport. PCA and HCA identified three source components: a crustal/geogenic group with localized anthropogenic enrichment (Cu, Zn, Pb, Fe), a geogenic-industrial group (Cr, Ni), and a third group (Cd, Mn) with divergent, rather than shared, sources per EF analysis. SEM-EDS analysis confirmed the presence of aluminosilicate and mineral particles of crustal origin, which may derive from resuspended soil and road dust, as well as metal-bearing particles potentially associated with traffic emissions, particularly in urban areas. The results confirm the suitability of <i>Hypnum cupressiforme</i> as a biomonitor for assessing atmospheric metal deposition in the Western Balkans, supporting its continued application within national and European monitoring programmes.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 8","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614952","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":"Fungi and toxic metals in household settled dust in slum settlements: an exposure and health risk perspective","authors":"Rachna Jain,&nbsp;Dipanjali Majumdar,&nbsp;Subhendu Chakraborty","doi":"10.1007/s11869-026-02066-6","DOIUrl":"10.1007/s11869-026-02066-6","url":null,"abstract":"<div><p>Household dust in tropical slum settlements represents a shared reservoir for chemical and biological hazards, yet cumulative exposure assessments remain limited. This study advances indoor environmental health research by integrating heavy metal analysis and dust associated fungi profiling within a single risk assessment model. House dust samples were collected from multiple sites within poorly ventilated, non-compartmentalized rooms. Fungal load was quantified using the spread plate method, and isolates were microscopically identified using lactophenol-cotton blue staining and slide culture techniques. Five dominant fungal taxa were further subjected to molecular characterisation and deposited in NCBI GenBank: <i>Aspergillus sydowii</i> (OR122521), <i>Trichoderma longibrachiatum</i> (OR131268), <i>Cladosporium</i> sp. (OR139845), <i>Neurospora</i> sp. (OR131033), and <i>Aspergillus nomiae</i> (OR131035). Statistical analysis revealed no significant difference in fungal load between sites, but diversity positively correlated with environmental variables such as temperature, humidity, ventilation, indoor cooking, and hygiene practices. High diversity indices (Simpson and Shannon Equitability &gt; 0.9; Shannon Index ~ 1.7) indicated an evenly distributed fungal community. Exposure assessment showed that exposure to toxic elements follows the order ingestion &gt; dermal&gt; inhalation. The non-cancer hazard index (HI) for adults is &lt; 1, whereas HI &gt; 1 indicates a significant non-cancer hazard for children, even when hazardous for adults. Cancer Risk from exposure to three toxic elements (Cd, Cr, and Ni) was estimated to be significantly higher than the acceptable limit of one in a million. These findings underscore indoor dust fungi as overlooked emerging contaminants, along with toxic elements in house dusts, and have direct implications for urban health, warranting regulatory attention and interventions to mitigate exposure and safeguard vulnerable populations.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 8","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614951","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}