Air Quality Atmosphere and Health最新文献

{"title":"Air quality assessment by daily estimation of ground-level PM2.5 concentrations over Baghdad City using MODIS AOD data","authors":"Khudhur Abdulrahman","doi":"10.1007/s11869-025-01752-1","DOIUrl":"10.1007/s11869-025-01752-1","url":null,"abstract":"<div><p>This study evaluates air quality over Baghdad city by estimating the daily ground-level PM₂.₅ concentration using MODIS Aerosol Optical Depth (AOD) data from the Terra and Aqua satellites. Due to the scarcity of ground-based monitoring stations in Baghdad, satellite data significantly enhances air pollution tracking. AOD measurements from 2022 have been paired with ground-level PM₂.₅ concentration data collected from the US Embassy’s air quality monitor. Multiple regression models (linear, quadratic, exponential) were applied to estimate PM₂.₅ concentrations, with the quadratic model proving to be the most accurate for most months. The results reveal that air quality in Baghdad frequently falls into the \"Unhealthy\" and \"Very Unhealthy\" categories, particularly during the summer and late spring. This is due to dust storms originating from the western desert of Iraq and the deserts of the Arabian Peninsula, which intensify during the spring and summer seasons. Additionally, other sources of PM_2.5 contribute significantly, including high-density traffic and associated vehicle emissions and reduced governmental electricity supply during summer, which subsequently increases the operating hours of air-polluting electrical generators and the open-air burning of waste and agricultural residues. This study highlights the effectiveness of satellite data in complementing ground measurements and emphasizes the necessity for public health interventions during periods of high pollution.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 7","pages":"2047 - 2059"},"PeriodicalIF":2.9,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Quality of governance and urbanization as moderators in the relationship between air quality, inclusive development, and life expectancy","authors":"Naila Erum,&nbsp;Kazi Musa,&nbsp;Ria Nelly Sari,&nbsp;Zuraidah Mohd Sanusi,&nbsp;Jamaliah Said","doi":"10.1007/s11869-025-01755-y","DOIUrl":"10.1007/s11869-025-01755-y","url":null,"abstract":"","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 7","pages":"2185 - 2185"},"PeriodicalIF":2.9,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814387","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":"Effect of particulate matter (PM10) on human neutrophils exposed to rhinovirus","authors":"Maria Camila Loaiza-Ceballos,&nbsp;Diana Maryory Gómez-Gallego,&nbsp;Juan C. Hernandez","doi":"10.1007/s11869-025-01719-2","DOIUrl":"10.1007/s11869-025-01719-2","url":null,"abstract":"<div><p>Air pollutants seriously affect global health. Among these, particulate matter (PM10) can enter the respiratory tract, attract immune cells and cause inflammatory and cytotoxic phenomena that alter lung function and increase susceptibility to respiratory virus infections. Therefore, the objective of this study was to evaluate the inflammatory response induced by PM10 in neutrophils exposed to rhinovirus by evaluating its cytotoxic potential via the MTT technique and quantifying the levels of the proinflammatory cytokines IL-1β and TNF-α and their mRNAs of the ICAM-1 molecule using ELISA and qPCR, respectively. Furthermore, we evaluated the effect of PM10 exposure on the RV load in A549 cells. Exposure to PM10 at concentrations less than 10 µg/mL did not cause significant cytotoxicity in neutrophils, but when neutrophils were exposed to PM10 and Rhinovirus, increases in the levels of the IL-1β and ICAM-1 mRNA and the number of copies of the Rhinovirus genome, especially in neutrophils and cells exposed to higher concentrations of PM10. In conclusion, exposure to PM10 and rhinovirus may promote the occurrence of complications during viral infection related to the development of proinflammatory states.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 7","pages":"1895 - 1903"},"PeriodicalIF":2.9,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814318","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":"COVID-19 pandemic impacted differently air quality in Latin American cities","authors":"Oliva Atiaga,&nbsp;Fernando Páez,&nbsp;Wilson Jácome,&nbsp;Rafael Castro,&nbsp;Edison Collaguazo,&nbsp;Luís Miguel Nunes","doi":"10.1007/s11869-025-01738-z","DOIUrl":"10.1007/s11869-025-01738-z","url":null,"abstract":"<div><p>This research explores the spatial and temporal variations of nitrogen dioxide (NO₂), sulphur dioxide (SO₂), and ozone (O₃) levels in four Latin American cities, namely Mexico City, Santiago de Chile, Lima, and the Metropolitan District of Quito, utilizing Sentinel-5P satellite data alongside ground-based monitoring stations. The period covers pre-lockdown, lockdown, and post-lockdown phases of the COVID-19 pandemic, providing insights into pollutant behaviour across different levels of human activity. Findings show notable spatial variability in pollutant levels, with Santiago de Chile repeatedly presenting the highest concentrations of NO₂ and SO₂, linked to urban development and local weather patterns, whereas Quito showed the lowest levels. The lockdowns typically resulted in decreased NO₂ concentrations, yet their effects on SO₂ and O₃ levels were inconsistent, highlighting the complexity of pollutant interactions. The research confirms that satellite data serves as an affordable addition to conventional monitoring, especially in areas with limited resources. These results emphasize the necessity for customized, city-oriented strategies to reduce urban air pollution and safeguard public health.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 7","pages":"1919 - 1929"},"PeriodicalIF":2.9,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-025-01738-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814353","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-resolution VOCs measurements and photochemical impact analysis for typical solid waste base in summer","authors":"Shuwei Zhang,&nbsp;Song Gao,&nbsp;Pengjie Yuan,&nbsp;Zekai Yang,&nbsp;Yajing Ma,&nbsp;Xiang Ge,&nbsp;Lipeng Liu,&nbsp;Zheng Jiao,&nbsp;Tronganh Nguyen","doi":"10.1007/s11869-025-01746-z","DOIUrl":"10.1007/s11869-025-01746-z","url":null,"abstract":"<div><p>Volatile organic compounds (VOCs) are critical pollutants studied extensively in the context of air quality. In this study, in order to ‌analyse the emission characteristics of VOCs from municipal domestic waste (MDW) at the final disposal stage and their impacts on the local environment, high temporal resolution monitoring of ozone (O₃) and 106 VOCs was carried out in the summer of 2021 at a typical solid waste disposal site in East China. The objectives were to ‌analyse VOCs pollution characteristics, identify major emission sources, and quantifying their O₃ production contribution. The findings reveal that the total VOC concentrations during the monitoring period range between 10.67 and 364.47 parts per billion (ppb), averaging 23.54 ppb. Among these, oxygenated volatile organic compounds (OVOCs), halogenated hydrocarbons, and alkanes are prevalent. Notably, the diurnal variation in VOC levels exhibited a distinct \"bimodal\" pattern, peaking at 05:00 and 21:00, with higher concentrations observed at night compared to daytime. Source analysis identified five primary VOC sources: waste incineration, gasoline and diesel vehicle emissions, industrial emissions, and solvent volatilization. Significantly, emissions from transportation and waste incineration power plants were identified as the predominant sources, and suggest they should be prioritized in VOC regulation and control strategies. The activity evaluation highlighted m/p-xylene, acrolein, cis-2-pentene, toluene, and tetrahydrofuran as dominant contributors to photochemical pollution. This study provides a comprehensive characterization of VOC emissions, offering insights critical for developing targeted air pollution control policies.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 7","pages":"1973 - 1991"},"PeriodicalIF":2.9,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814355","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":"Urban-rural disparities in the association between variability in particulate matter exposure and body mass index in school-aged children and adolescents: evidence from China","authors":"Xiaofeng Sun,&nbsp;Fangying Liu,&nbsp;Feng Cui,&nbsp;Jingyi Zhao,&nbsp;Qian Zhang,&nbsp;Xiaowei Hao,&nbsp;Meng Zhang,&nbsp;Qing Wang","doi":"10.1007/s11869-025-01748-x","DOIUrl":"10.1007/s11869-025-01748-x","url":null,"abstract":"<div><p>An increasing number of epidemiological studies have suggested that ambient exposure to particular matter (PM) contributes to child obesity. However, whether variations in PM influence body mass index remains unknown. This study aimed to estimate the association between variability in ambient PM exposure and body mass index and the related urban-rural disparities, independent of air pollution exposure. This research utilized a cohort data set from the National School-aged Children and Adolescents Health Monitoring Project of China, encompassing over 1 million school-aged children and adolescents aged 6 to 19 from 2013 to 2021. Pollution levels were defined by assigning each student the nearest grid according to the longitude and latitude of each student’s school. Subsequently, the monthly coefficients of variation in PM over 30 days preceding the physical examination date were calculated. Panel multilevel and panel quantile regression models were applied. In panel multilevel model, inverse probability weighting was introduced to adjust for bias in our study sample. After controlling for pollution concentration, a 1% increase in the monthly variability of PM_2.5 and PM₁₀ was associated with 0.0025 (95% CI: 0.22, 0.27) and 0.0034 (95% CI: 0.32, 0.36) increases in body mass index, respectively. The effect sizes of variability of PM_2.5 and PM₁₀ were 0.0022 (95% CI: 0.20, 0.25) and 0.0031 (95% CI: 0.29, 0.33) in urban areas, respectively. In contrast, in rural areas, the corresponding BMI increases were 0.0035 (95% CI: 0.30, 0.40) and 0.0043 (95% CI: 0.40, 0.47). Similar results were reported adjusting for weights and across quantile levels. Moreover, the effects were more pronounced for children and adolescents with a higher body mass index. The urban-rural disparities remained at different quantiles. To our knowledge, this is the first study revealing the positive relationship between air pollution variations and child obesity and the related urban-rural disparities. Environmental health policies accounting for variations in pollution exposure should be implemented, with particular focuses in rural areas.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 7","pages":"2007 - 2019"},"PeriodicalIF":2.9,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814354","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":"Multi-routine-data driven spatio-temporal short-term predictions for surface ozone in China","authors":"Canju Zheng,&nbsp;Hengqing Shen,&nbsp;Jianan Sun,&nbsp;Guangliang Liu,&nbsp;Haowei Cao,&nbsp;Jie Zhang,&nbsp;Xiang Gong,&nbsp;Da Xu","doi":"10.1007/s11869-025-01749-w","DOIUrl":"10.1007/s11869-025-01749-w","url":null,"abstract":"<div><p>Ozone (O₃) is a major atmospheric pollutant, and accurate prediction of its concentrations remains challenging due to its complex nonlinear relationships with precursor compounds. Existing machine learning methods have mainly focused on single-site or spatial predictions, lacking research on spatio-temporal short-term predictions based on simple factors. To address this gap, the MRD-O₃former, a deep learning model driven by multi-routine data, was developed to predict short-term hourly spatio–temporal surface ozone concentrations over China. The model exhibits strong spatio–temporal consistency, achieving a high correlation coefficient (<span>({r}^{2} = 0.85sim 0.90)</span>) and low normalized mean biases (NMBs) between -15% and 15% at the national scale compared to reanalysis ozone data. Both ablation experiments and permutation importance analysis reveal that historical ozone levels play a primary role in next-day ozone prediction, while meteorological factors such as wind speed and temperature also make significant contributions. Regional validation confirms the model’s effectiveness in the Beijing-Tianjin-Hebei region. Moreover, the study investigates the differential impact of crucial factors in urban and rural areas, revealing that historical ozone levels and meteorological factors significantly influence rural areas. However, the influence of historical ozone levels on urban ozone prediction is relatively small, especially during the summer. This suggests that urban ozone undergoes rapid formation and removal processes. These findings highlight the promising potential of deep learning techniques in accurately predicting spatiotemporal short-term ozone concentrations and interpreting the mechanism and source for ozone pollution.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 7","pages":"2021 - 2030"},"PeriodicalIF":2.9,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814290","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 assessment of health risk among biomass smoke exposed rural tribal women and its effect on blood platelet activities","authors":"Pradip Mitra,&nbsp;Deep Chakraborty,&nbsp;Sukanta Nayek,&nbsp;Utpal Dan,&nbsp;Naba Kumar Mondal","doi":"10.1007/s11869-025-01747-y","DOIUrl":"10.1007/s11869-025-01747-y","url":null,"abstract":"<div><p>Studies have reported that exposure to biomass smoke remains a public health burden worldwide. The present study was undertaken to examine the relationship between biomass smoke exposure and blood platelet indices among rural tribal women using biomass fuels. Particulate matter (PM_2.5), carbon monoxide (CO), and PM_2.5-bound polycyclic aromatic hydrocarbon (PAHs) concentrations were monitored to assess the level of indoor air pollution. The health status of the women was assessed through blood pressure measurements, and an automated hematology analyzer was used to determine platelet indices. Statistical models were used to examine the relationship between indoor air pollutants and platelet indices. The study results revealed a significant (<i>p</i> &lt; 0.001) relationship between particulate matter (PM_2.5) and CO in biomass-using households compared to LPG-using households. Moreover, a high concentration of particulate matter-bound PAHs was also recorded in the kitchen rooms of biomass users. The study results revealed that elevated levels of systolic blood pressure (SBP) and platelet parameters (mean platelet volume, platelet count, platelet large cell coefficient, and platelet to lymphocyte ratio) were significantly (<i>p</i> &lt; 0.05) correlated among biomass users. The correlation study also indicated a strong association (<i>p</i> &lt; 0.05) between different PAHs and platelet indices. Health risk analysis revealed that PAH molecules exceeded the standard ILTCR value of 1.00 × 10^–6 for both biomass and LPG fuels. From this study, it may be concluded that tribal women are exposed to higher concentrations of indoor pollutants and these might alter their platelet activities which in the long term can aggravate their cardiovascular health problems.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 7","pages":"1993 - 2006"},"PeriodicalIF":2.9,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814291","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":"Emission of airborne nanoparticles from electric motors of household appliances","authors":"Yevgen Nazarenko,&nbsp;Elliot Zolfaghar,&nbsp;Devendra Pal,&nbsp;Léa Quellard,&nbsp;Parisa A. Ariya","doi":"10.1007/s11869-025-01744-1","DOIUrl":"10.1007/s11869-025-01744-1","url":null,"abstract":"<div><p>Nanoparticulate (ultrafine particle) indoor air pollution is an emerging concern. Evidence points to airborne nanoparticles’ potential adverse effects, including the impact on blood pressure, the pulmonary and cardiovascular systems, cognitive performance, oxidative stress, allergen sensitization, and inflammation. Nanoparticles originate from various sources. However, no study to date investigated emissions of nanoparticles and fine particles from electric motors in household appliances, ubiquitous indoors. This study fills this knowledge gap with an investigation of incidental emission of aerosol particles from seven electric motors taken from household appliances. The appliances were made by several different manufacturers and tested at the respective appliance’s maximum and minimum power settings as intended for use by the consumer. Aerosols were continuously measured and characterized during 24-hour measurement periods using a NanoScan scanning mobility particle sizer (SMPS). Two of the seven motors (AP B and AP G) emitted very few particles, with an average total number concentration below 10 cm^− 3. One electric motor (AP E) emitted over 170 times more aerosol particles at the maximum power setting compared to the minimum power setting. Another motor (AP A) had the highest emission of all motors at both the minimum and the maximum power settings. The total number concentration of aerosol particles exceeded 2700 cm^− 3 and 3900 cm^− 3 when operating two of the investigated electric motors (AP A and AP E, respectively) at the maximum power setting. We recommend that manufacturers of electric motors and household appliances test fine and ultrafine aerosol particle emissions from their products and address the problem. The design of household appliances equipped with electric motors should consider low-aerosol-emission motors and/or the installation of high-efficiency air filters in the motor air cooling duct(s) downstream of the electric motors.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 7","pages":"1945 - 1955"},"PeriodicalIF":2.9,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-025-01744-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814575","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":"Evaluation and calibration of MERRA-2 and CAMS reanalysis for PM2.5 in a semi-urbanized area in the south of the Amazon","authors":"Danielle Nassarden,&nbsp;Jorge Menezes,&nbsp;Carlos Barbosa Pessoa,&nbsp;Anderson Carneiro,&nbsp;Luiz O. F. dos Santos,&nbsp;Glauber Cirino,&nbsp;Breno Imbiriba,&nbsp;Fernando Sallo,&nbsp;Leone F. A. Curado,&nbsp;Thiago R. Rodrigues,&nbsp;João Basso,&nbsp;Marco A. Franco,&nbsp;Fernando G. Morais,&nbsp;Maurício Moura,&nbsp;Andrea Machado,&nbsp;Julia Cohen,&nbsp;Rafael Palácios","doi":"10.1007/s11869-025-01745-0","DOIUrl":"10.1007/s11869-025-01745-0","url":null,"abstract":"<div><p>Air pollution has significant implications for the climate and poses irreversible risks to human health. The Amazon region of Brazil is severely affected by biomass burning (BB) emissions, yet air quality monitoring remains highly inadequate. Given the scarcity of surface-based observations, reanalysis models have become essential tools for assessing air pollution. Although MERRA-2 and CAMS PM_2.5 products are widely utilized, their validation and comprehensive evaluation for the Amazon Basin remain limited. This study assesses the performance of these products in a semi-urbanized region in the southern Amazon. The calibrated time series was employed to analyze PM_2.5 concentrations from 2003 to 2023. Our results showed satisfactory performance of both products for the 24-h averages of PM_2.5, with linear correlations above 0.76. However, it was found that both products overestimate surface concentrations. MERRA-2 performed better, with approximately 30% lower bias than CAMS. Time series analysis showed that the study area is strongly impacted by emissions BB in the dry period, mainly in August and September. Furthermore, our findings indicate a positive trend in increasing PM_2.5 concentrations, with a notable rise observed since 2014. The average PM_2.5 levels frequently exceed the daily air quality guidelines established by the WHO in 2021. It has been estimated that the population of this region is exposed to concentrations above 15 μg.m⁻³, on average, more than 30 days per year. Our results contribute to the evaluation of MERRA-2 and CAMS products for Amazon and provide a corrected estimate for surface PM_2.5. Recent concerns about air quality and the implementation of new surface monitoring networks may improve the evaluation of reanalysis products. In the short term, the need for this information makes our assessments indispensable.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 7","pages":"1957 - 1972"},"PeriodicalIF":2.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814485","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}