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| 1 | Investigation of PM_(2.5) pollution during COVID-19 pandemic in Guangzhou,China显示文摘The COVID-19 pandemic has raised awareness about various environmental issues,includ-ing PM_(2.5) pollution.Here,PM_(2.5) pollution during the COVID-19 lockdown was traced and an-alyzed to clarify the sources and factors influencing PM_(2.5) in Guangzhou,with an emphasis on heavy pollution.The lockdown led to large reductions in industrial and traffic emissions,which significantly reduced PM_(2.5) concentrations in Guangzhou.Interestingly,the trend of PM_(2.5) concentrations was not consistent with traffic and industrial emissions,as minimum concentrations were observed in the fourth period(3/01-3/31,22.45 μg/m^(3))of the lockdown.However,the concentrations of other gaseous pollutants,e.g.,SO_(2),NO_(2) and CO,were corre-lated with industrial and traffic emissions,and the lowest values were noticed in the sec-ond period(1/24-2/0_(3))of the lockdown.Meteorological correlation analysis revealed that the decreased PM_(2.5) concentrations during COVID-19 can be mainly attributed to decreased in-dustrial and traffic emissions rather than meteorological conditions.When meteorological factors were included in the PM_(2.5) composition and backward trajectory analyses,we found that long-distance transportation and secondary pollution offset the reduction of primary emissions in the second and third stages of the pandemic.Notably,industrial PM_(2.5) emis-sions from western,southern and southeastern Guangzhou play an important role in the formation of heavy pollution events.Our results not only verify the importance of control-ling traffic and industrial emissions,but also provide targets for further improvements in PM_(2.5) pollution. | Luyao Wen Chun Yang Xiaoliang Liao Yanhao Zhang Xuyang Chai Wenjun Gao Shulin Guo Yinglei Bi Suk-Ying Tsang Zhi-Feng Chen Zenghua Qi Zongwei Cai | 2022 | Journal of Environmental Sciences2022，34，5： | 2 |
| 2 | Application of a real-ambient fine particulate matter exposure system on different animal models显示文摘Simulation of fine particulate matter(PM_(2.5))exposure is essential for evaluating adverse health effects.In this work,an ambient exposure system that mimicked real atmospheric conditions was installed in Taiyuan,China to study impacts of chronic PM_(2.5) exposure on adult and aged mice as well as Sirtuin3 knockout(Sirt3 KO)mice and wild-type(WT)mice.The real-ambient exposure system eliminated the possible artificial effects caused from exposure experiments and maintained the physiochemical characteristics of PM_(2.5).The case studies indicated that aged mice exhibited apparent heart dysfunction involving in-creased heart rate and decreased blood pressure after 17-week of real-ambient PM_(2.5) exposure.Meanwhile,15-week of real-ambient PM_(2.5) exposure decreased the heart rate and amounts of associated catecholamines to induce heart failure in Sirt3 KO mice.Additionally,the increased pro-inflammatory cytokines and decreased platelet related indices suggested that inflammation occurred.The changes of biomarkers detected by targeted metabolomics confirmed metabolic disorder in WT and Sirt3 KO mice after exposed to real-ambient PM_(2.5).These results indicated that the real-ambient PM_(2.5) exposure system could evaluate the risks of certain diseases associated with air pollution and have great potential for support-ing the investigations of PM_(2.5) effects on other types of rodent models. | Yuanyuan Song Lifang Zhao Zenghua Qi Yanhao Zhang Guodong Cao Ruijin Li Lin Zhu Zhu Yang Chuan Dong Zongwei Cai | 2021 | Journal of Environmental Sciences2021，33，7： | 1 |
| 3 | Investigation on step overcharge to self-heating behavior and mechanism analysis of lithium ion batteries显示文摘To obtain intrinsic overcharge boundary and investigate overcharge mechanism,here we propose an innovative method,the step overcharge test,to reduce the thermal crossover and distinguish the overcharge thermal behavior,including 5%state of charge(SOC)with small current overcharge and resting until the temperature equilibrium under adiabatic conditions.The intrinsic thermal response and the self-excitation behaviour are analysed through temperature and voltage changes during the step overcharge period.Experimental results show that the deintercalated state of the cathode is highly correlated to self-heating parasitic reactions.Before reaching the upper limit of Negative/Positive(N/P)ratio,the temperature changes little,the heat generation is significantly induced by the reversible heat(endothermic)and ohmic heat,which could balance each other.Following that the lithium metal is gradually deposited on the surface of the anode and reacts with electrolyte upon overcharge,inducing selfheating side reaction.However,this spontaneous thermal reaction could be“self-extinguished”.When the lithium in cathode is completely deintercalated,the boundary point of overcharge is about 4.7 V(~148%SOC,>40℃),and from this point,the self-heating behaviour could be continuously triggered until thermal runaway(TR)without additional overcharge.The whole static and spontaneous process lasts for 115 h and the side reaction heat is beyond 320,000 J.The continuous self-excitation behavior inside the battery is attributed to the interaction between the highly oxidized cathode and the solvent,which leads to the dissolution of metal ions.The dissolved metal ions destroy the SEI(solid electrolyte interphase)film on the surface of the deposited Li of anode,which induces the thermal reaction between lithium metal and the solvent.The interaction between cathode,the deposited Li of anode,and solvent promotes the temperature of the battery to rise slowly.When the temperature of the battery reaches more than 60℃,the reaction between lithium metal and solvent is accelerated.After the temperature rises rapidly to the melting point of the separator,it triggers the thermal runaway of the battery due to the short circuit of the battery. | Fengling Yun Shiyang Liu Min Gao Xuanxuan Bi Weijia Zhao Zenghua Chang Minjuan Yuan Jingjing Li Xueling Shen Xiaopeng Qi Ling Tang Yi Cui Yanyan Fang Lihao Guo Shangqian Zhao Xiangjun Zhang Shigang Lu | 2023 | Journal of Energy Chemistry2023，，4： | 0 |
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