检索结果-内蒙古大学图书馆

SSRN 2024年

作者： Qiu, Shun Chen, Zhanxun Yu, Ling Liu, Chuying Ji, Chenghan Shen, Pengfei Cheng, Sikai Qiu, Hui Fang, Zhuoyao Zhang, Xiaolin Jiangsu 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 College of Civil Engineering Nanjing Forestry University Nanjing210037 China State Key Laboratory of Pollution Control and Resource Reuse School of the Environment Nanjing University Nanjing210023 China

Herein, a highly efficient As(III) purifier Ce-Mn@N201 with excellent reusability was developed by stepwise precipitating hydrated cerium oxides (HCO) and hydrated manganese oxides (HMO) inside N201, a widely-used gel-type anion exchange resin. Owing to confinement of unique nanopores in N201, the in-situ generated nanoparticles (NPs) inside Ce-Mn@N201 were highly dispersed with ultra-small sizes of around 2.6 nm. Results demonstrated that HMO NPs effectively oxidized As(III) to As(V), with most of generated Mn2+ being re-adsorbed onto the negatively-charged surface of HMO NPs. During the regeneration process by simple alkaline treatment, the re-adsorbed Mn2+ was firstly precipitated as (hydr)oxides of Mn(II) and then oxidized to HMO NPs by dissolved oxygen to fully refresh its oxidation capacity. Though HCO NPs mainly served as adsorbent for arsenic, they could partially oxidize As(III) to As(V) at the beginning, while the oxidation capacities continuously diminished with the irreversible conversion of Ce(IV) to Ce(III). In 10 consecutive adsorption-regeneration cycle, Ce-Mn@N201 efficiently decontaminated As(III) from 500 μg/L to below 5 μg/L with Mn2+ leaching less than 0.3% per batch. During 3 cyclic fixed-bed adsorptions, Ce-Mn@N201 steadily produced 8500-9150 bed volume (BV) and 3150-3350 BV drinkable water from the synthesized and real groundwater, respectively, with negligible Mn leaching. © 2024, The Authors. All rights reserved.

关键词： Manganese oxide

来源：评论

学校读者我要写书评

暂无评论

Impact of phenolic substances in coal pyrolysis wastewater on efficacy of short-cut nitrification and denitrification

引用

Journal of the Taiwan Institute of Chemical Engineers 2024年

作者： Huang, Weiliang Shi, Jingxin Li, Siqi Yang, Shuhui Hu, Hao Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science & Technology Nanjing210044 China Sanjiang New District Housing and Construction Administration Yibin644005 China

Background: The heightened concentration of phenolic substances in coal pyrolysis wastewater poses a substantial challenge to NH4+-N treatment. The effective regulation of the short-cut nitrification and denitrification processes proves to be intricate in practical applications especially in the presence of phenolic substances. The theme of this study is to explore the impact of phenolic substances on efficacy of short-cut nitrification and denitrification. Thus, achieving synchronous and effective removal of phenolic substances and NH4+-N in coal chemical wastewater. Methods: This investigation utilized a sequencing batch reactor. Contents main include (1) continuous monitoring of the removal efficiency of total nitrogen (TN), chemical oxygen demand (COD), and volatile phenols;(2) Examination of the accumulation patterns of nitrite nitrogen (NO2--N) and nitrate nitrogen (NO3--N) during the short-cut nitrification process;(3) Observation of alterations in sludge properties pre and post-experimentation;and (4) Comprehensive analysis of the influence of phenols on microbial diversity, community structure, and functional gene prediction. Significant findings: The NO2--N accumulation ratio was consistently maintained above 90 %. Upon stabilization, the TN removal ratio approximated 97 %. No detectable volatile phenols were present in the effluent of the short-cut nitrification stage. The accumulation of NO2--N trailed the transformation of NH4+-N. At a volatile phenol concentration of 180 mg/L, the ratio of simultaneous nitrification and denitrification reached 39.03 %. Predominant bacteria included Acinetobacter (15.26 %), Thauera (8.05 %), and Ferruginibacter (6.39 %), exhibiting proficiency in aromatic compound degradation. The introduction of phenolic substances diminished the proportion of ammonia oxidation bacteria within the primary nitrifying functional bacteria to 75.33 %. Microbial community structure exhibited substantial variation at the species level, with

关键词： Chemical oxygen demand

来源：评论

学校读者我要写书评

暂无评论

Dynamic changes of microbial community and Pb speciation distribution in rain sewage alternating constructed wetlands in winter and summer

引用

Journal of Water Process Engineering 2025年 72卷

作者： Peng, Xiaoqing Wang, Xiuzhang Shi, Haoqian Yu, Jianghua Huang, Xiao Jiangsu 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 Nanjing 210044 China

Constructed wetland is a choice to treat alternating rainwater and sewage influent (named as rainwater and sewage alternating constructed wetland, RSCW) with poor understanding for seasonal dynamics of lead (Pb) speciation and microbial community in it. Two lab-scale RSCWs were established to elucidate the interactions among Pb speciation, microbial community composition, and environmental factors in response to seasonal variations. The results demonstrated that the reducible fraction (highly bioavailable) predominated in winter (37–53 %), and the residual fraction with low bioavailability accounted for over 53 % in summer. A peak removal efficiency was 78 % and an accumulation rate was 0.3 mg·kg⁻¹·mon⁻¹ in winter. However, the removal efficiency decreased to 35 % in summer with an accumulation rate increased to 11 mg·kg⁻¹·mon⁻¹. Microbial analysis revealed that microbial diversity and richness were higher in summer than in winter, and Proteobacteria and Chloroflexi regulated the distribution of Pb species through various biogeochemical pathways. Correlation analysis further confirmed that pH, urease activity, and Pb speciation were significantly correlated with Nitrospira, Methylotenera, Lactobacillus, Sphingomonas and Bacillus (p < 0.05). The research findings revealed the influence of environmental-microbial interactions on Pb speciation and removal efficiency under seasonal changes, and provided a theoretical basis for optimizing RSCW operations. © 2025

关键词： Constructed wetlands Microorganisms Pb speciation Rainwater-sewage alternation Seasonal variation

来源：评论

学校读者我要写书评

暂无评论

Influence of NO_(x) on the activity of Pd/θ-Al_(2)O_(3) catalyst for methane oxidation: Alleviation of transient deactivation

引用

Journal of environmental Sciences 2022年第2期34卷 38-47页

作者： Chang Cui Yan Zhang Wenpo Shan Yunbo Yu Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China Ningbo Research Center for Urban Environment Chinese Academy of SciencesNingbo 315800China Ganjiang Innovation Academy Chinese Academy of SciencesGanzhou 341000China

Alumina supported Pd catalyst(Pd/Al_(2)O_(3)) is active for complete oxidation of methane, while often suffers transient deactivation during the cold down process. Herein, heating and cooling cycle tests between 200 and 900 ℃ and isothermal experiments at 650 ℃ were conducted to investigate the influence of NO_(x) on transient deactivation of Pd/θ-Al_(2)O_(3) catalyst during the methane oxidation. It was found that the co-fed of NO alleviated transient deactivation in the cooling ramp from 800 to 500 ℃, which was resulted from the in situ formation of NO_(2) during the process of methane oxidation. Over the Pd/θ-Al_(2)O_(3), thermogravimetric analysis and O_(2) temperature programmed oxidation measurements confirmed that transient deactivation was due to the decomposition of Pd O particles and the hysteresis of Pd reoxidation, while the metal Pd entities were less active for methane oxidation than the Pd O ones. CO pulse chemisorption and scanning transmission electron microscopy characterizations rule out the NO_(2) effect on Pd size change. Powder X-ray diffraction and X-ray photoelectron spectroscopy characterizations were used to obtain palladium status of Pd/θ-Al_(2)O_(3) before and after reactions, indicating that in lean conditions at 650 ℃, the presence of NO_(2) increases the content of active Pd O on the catalyst surface, thus benefits methane oxidation. Homogeneous reaction between CH 4, O_(2), and NO_(x) may be partially responsible for the alleviation above 650 ℃. The interesting research of alleviation in transient deactivation by NO_(x), the components co-existing in exhausts, are of great significance for the application.

关键词： Methane Catalytic oxidation Palladium NO_(x)influence

来源：评论

学校读者我要写书评

暂无评论

Spatiotemporal variation of microeukaryotic biodiversity and biotic condition associated with disinfectants after the COVID-19 lockdown in Wuhan,China

引用

Water Biology and Security 2024年第3期3卷 9-18页

作者： Fan Li Ruiwen Li Yongyong Guo Yindan Zhang Xiangping Chen Fayu Tan Yanxia Zuo Jie Xiong Lihua Yang Jian Han Bingsheng Zhou Lizhong Zhu State Key Laboratory of Freshwater Ecology and Biotechnology Institute of HydrobiologyChinese Academy of SciencesWuhan430072PR China Ecology and Environment Monitoring and Scientific Research Center Ecology and Environment Administration of Yangtze River BasinMinistry of Ecology and EnvironmentWuhan430010PR China University of Chinese Academy of Sciences Beijing100039PR China Wuhan Ecological and Environmental Monitoring Center Department of Ecology and Environment of Hubei ProvinceWuhan430015PR China Department of Environmental Science Zhejiang UniversityHangzhou310058PR China Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control Hangzhou310058PR China

Intensive application of chlorine-based disinfectants driven by the COVID-19 pandemic was suspected to be detrimental to receiving water ecosystems,but with little field *** characterized the occurrences of typical disinfectants and microeukaryotic communities in surface waters associated with three wastewater treatment plants(WWTP)-river systems one year after the lockdown in Wuhan,***(THMs)declined from summer 2020(0.01–1.82μg/L)to summer 2021(0.01–0.95μg/L),whereas quaternary ammonium salts(QAs)increased from summer 2020(0.53–6.35 ng/L)to summer 2021(8.49–191 ng/L).Biodiversity monitoring with environmental DNA(eDNA)revealed significant temporal variation in microeukaryotic community *** monitored disinfectants were correlated with some eukaryotic communities as demonstrated by redundancy *** example,QAs were positively related to Cryptophyta relative abundance,but negatively related to Rotifera relative abundance.A microeukaryote-based multimetric index indicated ecological impairment near the Han River WWTP outlet in *** findings indicate the influence of heavily used disinfectants on river microeukaryotic communities,and the usefulness of assessing mid-term ecological risks from disinfectants in the post COVID-19 era.

关键词： Disinfectants Biodiversity Biotic condition Wastewater treatment plants-rivers COVID-19 pandemic

来源：评论

学校读者我要写书评

暂无评论

An hourly and localized optimization method for soil fugitive dust emission inventory based on machine learning

引用

Journal of environmental Sciences 2025年 158卷 1-12页

作者： Lilai Song Zhen Li Jinqiu Zhang Hu Li Chenchu Wang Xiaohui Bi Qili Dai Yinchang Feng Key Laboratory of Urban Air Particulate Pollution Prevention and Control of Ministry of Ecology and Environment College of Environmental Science and Engineering Nankai University Tianjin 300350 China CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research Tianjin 300350 China

Soil fugitive dust (SFD) is characterized by a variety of sources and considerable spatial-temporal variability, exerting a significant impact on environmental air quality and ecological systems in cities across northern China. Multiple factors can shape SFD emission. Nevertheless, the current comprehension of its critical impact factors and quantitative methodologies remains constrained. This study utilizes interpretable machine learning techniques to identify the principal impact factors of SFD and their interactions while delineating their action thresholds. The findings reveal seasonal variations in impact factors and emphasize the substantial effect of bare soil source strength on SFD, including parameters such as bare soil area and soil moisture. Consequently, the Wind Erosion Equation model is optimized following these findings to localize its parameters and improve its capability to calculate hourly SFD emissions. The case application is validated using observational data, demonstrating the reliability and precision of the optimized methodology. This study provides insights and solutions for the local optimization of SFD parameterization schemes and further supports the formulation of precise prevention and control policies for SFD.

关键词： Soil moisture

来源：评论

学校读者我要写书评

暂无评论

Achievements,challenges and global implications of China’s carbon neutral pledge

引用

Frontiers of environmental Science & Engineering 2022年第8期16卷 285-288页

作者： Hong Yang Xianjin Huang Jianlin Hu Julian R.Thompson Roger J.Flower Department of Geography and Environmental Science University of ReadingReading RG66ABUK School of Geography and Ocean Science Nanjing UniversityNanjing 210023China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control(AEMPC)School of Environmental Science and EngineeringNanjing University of Information Science&TechnologyNanjing 210044China Department of Geography University College LondonLondon WC1E 6BTUK

China has been committed to achieving carbon neutrality by ***’s pledge of carbon neutrality will play an essential role in galvanising global climate action,which has been largely deferred by the Covid-19 ***’s carbon neutrality could reduce global warming by approximately 0.2–0.3°C and save around 1.8 million people from premature death due to air *** with domestic benefits,China’s pledge of carbon neutrality is a“game-changer”for global climate action and can inspire other large carbon emitters to contribute actively to mitigate carbon emissions,particularly countries along the Belt and Road Initiative(BRI)*** order to achieve carbon neutrality by 2060,it is necessary to decarbonise all sectors in China,including energy,industry,transportation,construction,and ***,this transition will be very challenging,because major technological breakthroughs and large-scale investments are *** policies and implementation plans are essential,including sustainable demand,decarbonizing electricity,electrification,fuel switching,and negative *** particular,if China can peak carbon emissions earlier,it can lower the costs of the carbon neutral transition and make it easier to do so over a longer time ***’s pledge of carbon neutrality by 2060 and recent pledges at the 26th UN Climate Change Conference of the Parties(COP26)are significant contributions and critical steps for global climate ***,countries worldwide need to achieve carbon neutrality to keep the global temperature from growing beyond the level that will cause catastrophic damages globally.

关键词： Carbon neutrality Carbon peak Renewable energy Negative emission Carbon capture Utilisation and storage Nature-based solution

来源：评论

学校读者我要写书评

暂无评论

Knowledge-guided machine learning reveals pivotal drivers for gasto-particle conversion of atmospheric nitrate

引用

environmental Science and Ecotechnology 2024年第3期19卷 100-108页

作者： Bo Xu Haofei Yu Zongbo Shi Jinxing Liu Yuting Wei Zhongcheng Zhang Yanqi Huangfu Han Xu Yue Li Linlin Zhang Yinchang Feng Guoliang Shi State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control Tianjin Key Laboratory of Urban Transport Emission ResearchCollege of Environmental Science and EngineeringNankai UniversityTianjin300350China CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research(CLAER) College of Environmental Science and EngineeringNankai UniversityTianjin300350China Department of Civil Environmentaland Construction EngineeringUniversity of Central FloridaOrlandoFLUSA School of Geography Earth and Environment Sciences University of BirminghamBirminghamB152TTUK State Key Laboratory of Precision Measuring Technology and Instruments Tianjin Key Laboratory of air Pollutants Monitoring TechnologySchool of Precision Instrument and Opto-electronics EngineeringTianjin UniversityTianjin300072China Gigantic Technology(Tianjin)Co. LtdTianjin300072China College of Computer Science Nankai UniversityTianjin300350China China National Environmental Monitoring Centre Beijing100012China

Particulate nitrate,a key component of fine particles,forms through the intricate gas-to-particle conversion *** process is regulated by the gas-to-particle conversion coefficient of nitrate(ε(NO_(3)^(-))).The mechanism betweenε(NO_(3)^(-))and its drivers is highly complex and nonlinear,and can be characterized by machine learning ***,conventional machine learning often yields results that lack clear physical meaning and may even contradict established physical/chemical mechanisms due to the influence of ambient *** urgently needs an alternative approach that possesses transparent physical interpretations and provides deeper insights into the impact ofε(NO_(3)^(-)).Here we introduce a supervised machine learning approachdthe multilevel nested random forest guided by theory *** approach robustly identifies NH4 t,SO_(4)^(2-),and temperature as pivotal drivers forε(NO_(3)^(-)).Notably,substantial disparities exist between the outcomes of traditional random forest analysis and the anticipated actual ***,our approach underscores the significance of NH4 t during both daytime(30%)and nighttime(40%)periods,while appropriately downplaying the influence of some less relevant drivers in comparison to conventional random forest *** research underscores the transformative potential of integrating domain knowledge with machine learning in atmospheric studies.

关键词： Machine learning Data driven Theoretical approach Domain knowledge Guide

来源：评论

学校读者我要写书评

暂无评论

非农业源排放增强大气二甲胺浓度并调节城市颗粒物成核

引用

Science Bulletin 2023年第13期68卷 1447-1455,M0004页

作者：常运华凌清扬盖鑫磊袁相洋周升钱程凯毛鉴炯黄丹丹胡磬遥鲁君崔世杰高雅琴陆轶群朱亮谭稳郭松胡敏王红丽黄成黄汝锦张远航胡建林 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters NUIST Center on Atmospheric EnvironmentNanjing University of Information Science&Technology(NUIST)Nanjing 210044China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologyNanjing University of Information Science&TechnologyNanjing 210044China State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science and EngineeringFudan UniversityShanghai 200433China State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex Shanghai Academy of Environmental SciencesShanghai 200233China TOFWERK China Nanjing 211800China State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Loess and Quaternary Geology Center for Excellence in Quaternary Science and Global ChangeKey Laboratory of Aerosol Chemistry&PhysicsInstitute of Earth and EnvironmentChinese Academy of SciencesXi’an 710061China

气态二甲胺(DMA)是大气新粒子生成的关键前体物,然而对其来源与空气和气候效应仍存在巨大争议.本研究率先对中国大气DMA浓度开展了南北跨区域与城市内部的走航观测.发现亚热带森林植物的DMA排放浓度可能南方远高于北方,同时记录到由工... 详细信息

气态二甲胺(DMA)是大气新粒子生成的关键前体物,然而对其来源与空气和气候效应仍存在巨大争议.本研究率先对中国大气DMA浓度开展了南北跨区域与城市内部的走航观测.发现亚热带森林植物的DMA排放浓度可能南方远高于北方,同时记录到由工业脉冲排放所导致的全球最高大气DMA浓度.在高度城市化的上海地区,DMA浓度自市中心向外围逐渐降低且与人口密度关联.源排放的直接测试进一步表明中国区域和城市内部的大气二甲胺都深受非农业源排放的影响.大气化学传输模式也证实,居民DMA排放主导了上海城市大气颗粒物数浓度的贡献.该研究将外场观测、源排放测试与模型模拟相结合,呈现了中国大气二甲胺的全生命周期,为颗粒物污染防治和气候变化评估提供了有用参考.

关键词： Newparticleformation Amines Volatile organic compounds Urbanatmosphere Non-agricultural sources

来源：评论

学校读者我要写书评

暂无评论

Significant contribution of spring northwest transport to volatile organic compounds in Beijing

引用

Journal of environmental Sciences 2021年第6期33卷 169-181页

作者： Dan Yao Guiqian Tang Yinghong Wang Yuan Yang Lili Wang Tianzeng Chen Hong He Yuesi Wang Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China

High values of ozone(O_(3))occur frequently in the dry spring season;thus,understanding the evolution characteristics of volatile organic compounds(VOCs)in spring is of great significance for preventing O_(3)*** this study,a total of 101 VOCs from April 16 to May 21,2019,were quantified using an online gas chromatography mass spectrometer/flame ionization detector(GCMS/FID).The results indicated that the observed concentration of total VOCs(TVOCs)was 30.4±17.0 ppbv,and it was dominated by alkanes(44.3%),followed by oxygenated VOCs(OVOCs)(17.4%),halocarbons(12.7%),aromatics(9.5%),alkenes(8.2%),acetylene(5.3%)and carbon disulfide(2.5%).The average mixing ratio of VOCs showed obvious diurnal variation(high at night,low during daytime).We conducted a source apportionment study based on 32 major VOCs using positive matrix factorization(PMF),and coal+biomass burning(25.2%),diesel exhaust(16.0%),gasoline exhaust+evaporation(17.4%),secondary+long-lived species(16.7%),biogenic sources(4.3%),industrial emissions(9.3%)and solvent use(11.2%)were identified as major sources of *** addition to local emissions,most of the atmospheric VOCs were derived from long-distance air masses(65.7%),and the average mixing ratio of VOCs in the northwest direction was 29.4 *** with the results of the potential source contribution function(PSCF)indicate that research should focus on the local emissions of combustion,transportation sources and solvents usage to control atmospheric ***,transmission of the northwest air mass is an important component that cannot be ignored during spring in Beijing.

关键词： VOCs Source apportionment Beijing Spring Northwest transport

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：