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Correction to "Emission Measurements on a Large Sample of Heavy-Duty Diesel Trucks in China by Using Mobile Plume Chasing"

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Environmental science & technology 2023年第45期57卷 17659页

作者： Hui Wang Shaojun Zhang Xiaomeng Wu Yifan Wen Zhenhua Li Ye Wu School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing 100084 P. R. China. State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 P. R. China. Beijing Laboratory of Environmental Frontier Technologies School of Environment Tsinghua University Beijing 100084 China.

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Application of multi-angle spaceborne observations in characterizing the long-term particulate organic carbon pollution in China

Research Square

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Research Square 2023年 rs3rs-3734829页

作者： Hang, Yun Pu, Qiang Zhu, Qiao Meng, Xia Jin, Zhihao Liang, Fengchao Tian, Hezhong Li, Tiantian Wang, Tijian Cao, Junji Fu, Qingyan Dey, Sagnik Li, Shenshen Huang, Kan Kan, Haidong Shi, Xiaoming Liu, Yang Gangarosa Department of Environmental Health Rollins School of Public Health Emory University AtlantaGA30322 United States Department of Environmental and Occupational Health Sciences School of Public Health University of Texas Health Science Center at Houston HoustonTX77030 United States School of Public Health Fudan University Shanghai200032 China School of Public Health and Emergency Management Southern University of Science and Technology Shenzhen518055 China State Key Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing100875 China China CDC Key Laboratory of Environment and Population Health National Institute of Environmental Health Chinese Center for Disease Control and Prevention Beijing100021 China School of Atmospheric Sciences Nanjing University Nanjing210023 China Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100101 China State Ecologic Environmental Scientific Observation and Research Station at Dianshan Lake Shanghai Environmental Monitoring Center Shanghai200235 China Centre for Atmospheric Sciences Indian Institute of Technology Delhi Hauz Khas New Delhi110016 India State Key Laboratory of Remote Sensing Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing100101 China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science and Engineering Fudan University Shanghai200433 China

Ambient PM2.5 pollution is recognized as a leading environmental risk factor, causing significant mortality and morbidity in China. However, the specific contributions of individual PM2.5 constituents remain unclear, primarily due to the lack of a comprehensive ground monitoring network for constituents. This issue is particularly critical for carbonaceous species such as organic carbon (OC) and elemental carbon (EC), which are known for their significant health impacts, and understanding the OC/EC ratio is crucial for identifying pollution sources. To address this, we developed a Super Learner model integrating Multi-angle Imaging SpectroRadiometer (MISR) retrievals to predict daily OC concentrations across China from 2003 to 2019 at a 10-km spatial resolution. Our model demonstrates robust predictive accuracy, as evidenced by a random cross-validation R2 of 0.84 and an RMSE of 4.9 μg/m3, at the daily level. Although MISR is a polar-orbiting instrument, its fractional aerosol data make a significant contribution to the OC exposure model. We then use the model to explore the spatiotemporal distributions of OC and further calculate the EC/OC ratio in China. We compared regional pollution discrepancies and source contributions of carbonaceous pollution over three selected regions: Beijing-Tianjin-Hebei, Fenwei Plain, and Yunnan Province. Our model observes that OC levels are elevated in Northern China due to industrial operations and central heating during the heating season, while in Yunnan, OC pollution is mainly contributed by local forest fires during fire seasons. Additionally, we found that OC pollution in China is likely influenced by climate phenomena such as the El Niño-Southern Oscillation. Considering that climate change is increasing the severity of OC concentrations with more frequent fire events, and its influence on OC formation and dispersion, we suggest emphasizing the role of climate change in future OC pollution control policies. We believe this stu

关键词： Remote sensing

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Associations of PM2.5 composition and green space with metabolic syndrome in a Chinese essential hypertensive population

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Chemosphere 2023年 343卷

作者： Xiao, Ya Liu, Ce Lei, Ruoyi Wang, Zengwu Wang, Xin Tian, Hezhong Xue, Baode Zhou, Erkai Zhang, Kai Hu, Jihong Luo, Bin Institute of Occupational Health and Environmental Health School of Public Health Lanzhou University Gansu Lanzhou730000 China Division of Prevention and Community Health National Center for Cardiovascular Disease Fuwai Hospital Peking Union Medical College & Chinese Academy of Medical Sciences Beijing100037 China State Key Joint Laboratory of Environmental Simulation & Pollution Control School of Environment Beijing Normal University Beijing100875 China Department of Environmental Health Sciences School of Public Health University at Albany State University of New York One University Place RensselaerNY12144 United States School of Public Health Gansu University of Chinese Medicine Gansu Lanzhou730000 China

Background: Metabolic syndrome (MetS) has emerged as a significant global public health concern. While environmental factors, including PM2.5, have been identified as important risk factors for MetS in the general population, limited studies have investigated their impact on individuals with essential hypertension. Therefore, our study aims to explore the relationship between PM2.5 composition, green space, and their combined effects on MetS among a Chinese essential hypertensive population. Method: A total of 20,131 participants diagnosed with essential hypertension from 10 provinces in China were included in this study. Individual level exposure to various environmental factors (including PM2.5, PM2.5 composition, green space and temperature) were evaluated using spatiotemporal models based on satellites data. Participants were defined as MetS according to the definition issued by the International Diabetes Federation. Generalized additive mixed models were used to analyze the individual air pollutants, green space and their interaction on MetS. Result: The prevalence of MetS in this population was 44.33%. The adjusted odd ratio (OR) of MetS, with each one unit increase in SO42−, BC and NO3− were 1.077 (1.049, 1.106), 1.126 (1.077, 1.177) and 0.977 (0.958, 0.996) respectively. Additionally, each unit increase of the Normalized Difference Vegetation Index (NDVI) was associated with a decreased risk of MetS (OR: 0.988, 95% CI: 0.984–0.993). In particular, green space was found to mitigate the adverse impacts of PM2.5 on MetS (OR: 0.988, 95% CI: 0.984–0.993). Conclusion: Our results suggested that there was a positive association between PM2.5 and its composition (SO42−, BC) with MetS in the essential hypertensive population, while green space might play a protective role. Moreover, green space could effectively weaken the positive relationship between air pollutants and MetS, especially in males and participants younger than 60 years old. © 2023

关键词： Metabolism

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Corrigendum to ‘A renewable clean energy application: Oxyhydrogen negative pressure inhalation for enhancing the combustion and emission characteristics of isopropanol/gasoline dual-fuel combined injection engine’ [Energy Vol 290 (2024) 130214]

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Energy 2024年 311卷

作者： Weibo Shi Zihang Li Zhe Zhao Xiumin Yu Ping Sun Tao Sang Wei Dong Ming Li State Key Laboratory of Automotive Simulation and Control Jilin University Changchun 130022 China College of Automotive Engineering Jilin University Changchun 130022 China China Automotive Technology and Research Center Tianjin 300300 China

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Estimation of pregnancy losses attributable to exposure to ambient fine particles in south Asia: an epidemiological case-control study

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The Lancet Planetary Health 2021年第1期5卷 e15-e24页

作者： Xue, Tao Guan, Tianjia Geng, Guannan Zhang, Qiang Zhao, Yong Zhu, Tong Institute of Reproductive and Child Health Ministry of Health Key Laboratory of Reproductive Health Peking University Beijing China Department of Epidemiology and Biostatistics School of Public Health Peking University Beijing China School of Public Health Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing China College of Liberal Arts and Sciences University of Connecticut Storrs CT United States BIC-ESAT and SKL-ESPC College of Environmental Science and Engineering Peking University Beijing China

Background: Maternal exposure to ambient particulate matter (PM2·5) is associated with pregnancy loss (ie, stillbirth and miscarriage). South Asia has the highest burden of pregnancy loss globally and is one of t...

Background: Maternal exposure to ambient particulate matter (PM_2·5) is associated with pregnancy loss (ie, stillbirth and miscarriage). South Asia has the highest burden of pregnancy loss globally and is one of the most PM_2·5 polluted regions in the world. However, knowledge of the relevant exposure–response function for mothers is insufficient. Methods: In this epidemiological case-control study, we collected data from Demographic and Health Surveys from India, Pakistan, and Bangladesh for the period 1998–2016 for women who reported at least one pregnancy loss and one or more livebirths. We assessed ambient exposure during gestation with satellite-based PM_2·5 measurements for the period. To derive the exposure–response function, we did a self-compared case-control study in which each case of pregnancy loss was compared with a successful livebirth control or controls by the same mother. Using the estimated exposure–response function, we quantified pregnancy losses attributable to PM_2·5 in the region for the period 2000–16 using a standard risk assessment approach. Findings: We assessed data for 34 197 mothers, who had at least one pregnancy loss and one or more livebirth, of whom 26 282 (76·9%) were from India, 4228 (12·4%) were from Pakistan, and 3687 (10·8%) were from Bangladesh. The 34 197 cases of pregnancy loss were matched with 76 282 livebirth controls. The mean level of PM_2·5 exposure was 56·00 μg/m³ (SD 30·82) for cases and 54·57 μg/m³ (31·73) for controls. After adjustment for maternal age, non-linear terms for temperature and humidity, seasonal variation, and long-term trends, each 10 μg/m³ increment in PM_2·5 was associated with an odds ratio for pregnancy loss of 1·03 (95% CI 1·02–1·05). According to the estimated non-linear exposure–response function by age and urban residence versus rural residence, for the period 2000–16, an estimated 349 681 (95% CI 152

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Tensile Strain-Mediated Bimetallene Nanozyme for Enhanced Photothermal Tumor Catalytic Therapy

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Angewandte Chemie 2024年第24期136卷

作者： Dr. Jiandong Wu Dr. Qihui Liu Dr. Dongxu Jiao Dr. Bin Tian Dr. Qiong Wu Dr. Xin Chang Dr. Hongyu Chu Shan Jiang Dr. Qi Yang Dr. Tao Liu Dr. Yue Zhang Wei Zhang Dr. Jinchang Fan Prof. Xiaoqiang Cui Prof. Fangfang Chen Key Laboratory of Pathobiology Ministry of Education Nanomedicine and Translational Research Center Electron Microscopy Center China-Japan Union Hospital of Jilin University No.126 Sendai Street Changchun 130033 China State Key Laboratory of Automotive Simulation and Control Key Laboratory of Automobile Materials Ministry of Education School of Materials Science and Engineering Jilin University Changchun 130012 China Department of Breast Surgery Second Hospital of Jilin University No.4026 Yatai Street Changchun 130041 China

Nanozymes have demonstrated significant potential in combating malignant tumor proliferation through catalytic therapy. However, the therapeutic effect is often limited by insufficient catalytic performance. In this study, we propose the utilization of strain engineering in metallenes to fully expose the active regions due to their ultrathin nature. Here, we present the first report on a novel tensile strain-mediated local amorphous RhRu (la-RhRu) bimetallene with exceptional intrinsic photothermal effect and photo-enhanced multiple enzyme-like activities. Through geometric phase analysis, electron diffraction profile, and X-ray diffraction, it is revealed that crystalline-amorphous heterophase boundaries can generate approximately 2 % tensile strain in the bimetallene. The ultrathin structure and in-plane strain of the bimetallene induce an amplified strain effect. Both experimental and theoretical evidence support the notion that tensile strain promotes multiple enzyme-like activities. Functioning as a tumor microenvironment (TME)-responsive nanozyme, la-RhRu exhibits remarkable therapeutic efficacy both in vitro and in vivo. This work highlights the tremendous potential of atomic-scale tensile strain engineering strategy in enhancing tumor catalytic therapy.

关键词： Bimetallene tensile strain nanozyme tumor catalytic therapy

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COVID-19 Full Lockdowns Expose Significant Air Quality Benefits towards Electric Vehicles in China

SSRN

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SSRN 2020年

作者： Wang, Liqiang Chen, Xue Zhang, Yibo Li, Mengying Li, Pengfei Jiang, Linhui Xia, Yan Li, Zhen Li, Jiali Wang, Lu Hou, Tangyan Liu, Weiping Rosenfeld, Daniel Zhu, Tong Zhang, Yuanhang Chen, Jianmin Wang, Shuxiao Huang, Yuanlong Seinfeld, John H. Yu, Shaocai Key Laboratory of Environmental Remediation and Ecological Health Ministry of Education Research Center for Air Pollution and Health College of Environment and Resource Sciences Zhejiang University HangzhouZhejiang310058 China Division of Chemistry and Chemical Engineering California Institute of Technology PasadenaCA91125 United States College of Science and Technology Hebei Agricultural University BaodingHebei071000 China Institute of Earth Science The Hebrew University of Jerusalem Jerusalem Israel College of Environmental Sciences and Engineering Peking University Beijing100871 China Department of Environmental Science & Engineering Fudan University Shanghai200433 China School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing100084 China

Electric vehicles (EVs) represent a major path for global decarbonization, improvement of air quality and promotion of renewable energy. To tackle the COVID-19 pandemic, China imposed full lockdowns and thorough travel restrictions. This event represents an unprecedented inadvertent geoengineering experiment in vehicle emissions, emulating transition to EVs. Here we novelly exploited observations of air quality during the full lockdown to constrain predictions of a comprehensive chemical transport model. Large traffic flux reductions were near-linearly linked to reductions of NO 2 and PM 2.5 (correlation = 0.491 ~ 0.626). Extrapolating to a full conversion to EV results in a large reduction of PM 2.5 (30 ~ 70%) in most of central and south eastern China. A smaller reduction of PM 2.5 (10 ~ 20%) in Beijing and Tianjin was achievable due to the presence of major industrial emission sources which cause haze at a regional scale. The potential reductions in NO 2 were 40 ~ 90% in most of the megacities. At this present crossroads of policy, our findings reveal timely evidence supporting the transition towards renewable energy. Funding: This study is supported by the Department of Science and Technology of China (No. 2016YFC0202702, 2018YFC0213506 and 2018YFC0213503), National Research Program for key Issues in Air Pollution control in China (No. DQGG0107) and National Natural Science Foundation of China (No. 21577126, 41561144004, 21625701). Pengfei Li is supported by Initiation Fund for Introducing Talents of Hebei Agricultural University (412201904) and Youth Top Fund of Universities in Hebei Province (BJ2020032). Conflict of Interest: Authors declare no competing interests. © 2020, The Authors. All rights reserved.

关键词： Air quality

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Author Correction: Temporal changes in global soil respiration since 1987

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Nature communications 2021年第1期12卷 1801页

作者： Jiesi Lei Xue Guo Yufei Zeng Jizhong Zhou Qun Gao Yunfeng Yang State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China. Institute for Environmental Genomics University of Oklahoma Norman OK 73019 USA. Department of Microbiology and Plant Biology University of Oklahoma Norman OK 73019 USA. Earth and Environmental Sciences Lawrence Berkeley National Laboratory Berkeley CA 94270 USA. State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China. gaoqun998@***. Institute for Environmental Genomics University of Oklahoma Norman OK 73019 USA. gaoqun998@***. State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China. yangyf@***.

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强厄尔尼诺期间大气环流对华北地区灰霾的影响

强厄尔尼诺期间大气环流对华北地区灰霾的影响

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第24届中国大气环境科学与技术大会暨中国环境科学学会大气环境分会2018年学术年会

作者： Ge Zhang Yang Gao Wenju Cai L.Ruby Leung Shuxiao Wang Bin Zhao Minghuai Wang Huayao Shan Xiaohong Yao Huiwang Gao Key Laboratory of Marine Environmental Science and Ecology Ministry of EducationOcean University of Key Laboratory of Marine Environmental Science and Ecology Ministry of EducationOcean University of Physical Oceanography Laboratory/CIMST Ocean University of China and Qingdao National Laboratory for Atmospheric Sciences and Global Change Division Pacific Northwest National LaboratoryRichlandWashi State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsi Joint Institute for Regional Earth System Science and Engineering and Department of Atmospheric and School of Atmospheric Sciences Nanjing UniversityNanjing210023China

利用全国PM2.5监测网数据分析发现，华北地区在 2015 年 12 月和 2016 年 1 月出现 PM2.5 浓度异常高、低的跷跷板现象，此现象可能与强厄尔尼诺和北极涛动(AO)共同导致的局地气象变化有关.

关键词：灰霾强厄尔尼诺北极涛动东亚冬季风 WRF-CMAQ

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Changes of Nitrogen and Phosphorus Removal Pattern Causing by Alternating Aerobic/Anoxia from the Perspective of Microbial Characteristics

SSRN

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SSRN 2022年

作者： Yao, Kai Huang, Xiao Dong, Wenyi Wang, Fupeng Liu, Xueyong Yan, Yu Qu, Yanhui Fu, Yicheng Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control School of Environmental Science and Engineering Nanjing University of Information Science & Technology Nanjing210044 China Shenzhen518055 China Northeast China Municipal Engineering Design and Research Institute Co Ltd Jilin130021 China Urban and Rural Water Environment Technology R&D Center China Communications Construction Co Ltd Jilin130021 China China Urban and Rural Holdings Group Co Ltd Beijing100029 China State Key Laboratory of Simulation and Regulation of River Basin Water Cycle China Institute of Water Resources and Hydropower Research Beijing100038 China

To investigate the effect of alternating aerobic/anoxic (A/O) on pollutant removal performance and microbial community structure, three sequencing batch reactors (SBR) processes with different alternating A/O times were set up. The results showed that alternating A/O was beneficial for organic matter degradation and promote nitrogen (N) and phosphorus (P) removal performance, and the removal efficiencies of chemical oxygen demand (COD), ammonia nitrogen (NH4+-N), total nitrogen (TN), and total phosphorus (TP) increased 3.41%, 4.76%, 3.51%, and 6.27%, respectively. Besides, alternating A/O affected the dominant microbial community relative abundance (Proteobacteria and Bacteroidetes) and increased microbial richness and diversity. It also increased the relative abundance of aerobic denitrifying, heterotrophic nitrifying, and denitrifying phosphorus removal bacteria to change N and P removal patterns. Furthermore, the abundance of carbohydrate metabolism and amino acid metabolism were improved by alternating A/O to improve organic matter and TN removal. © 2022, The Authors. All rights reserved.

关键词： Chemical oxygen demand

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