Numerical study on the ozone formation inside street canyons using a chemistry box model

Tropospheric ozone is a secondary air pollutant produced in the presence of nitrogen oxides (NO_x),volatile organic compounds (VOCs),and solar radiation.In an urban environment,ground-level vehicular exhaust is the major anthropogenic source of ozone precursors.In the cases of street canyons,pollutant dilution is weakened by the surrounding buildings that creates localized high concentration of NO_x and VOCs,and thus leads to high potential of ozone formation.By considering the major physical and chemica...     

广东省CO2排放变化的社会经济影响因素

作为我国经济最为发达的省份之一,广东省社会经济可持续发展面临CO₂排放量增长的挑战.从多角度分析广东省CO₂排放变化的社会经济影响因素,有助于其实现低碳发展.基于投入产出模型,从生产、需求和供应角度分析1987—2015年广东省CO₂排放量的变化;此外,采用结构分解分析方法,从需求和供应角度量化广东省各种社会经济因素对CO₂排放变化的相对贡献.结果表明:①与生产端相比,需求侧和供给侧的研究有助于识别不同的关键行业,如建筑业（需求侧）、金融和保险业（供给侧）.②降低碳排放强度是减少广东省CO₂排放的主要因素,而人均最终需求水平和人均初始投入增加是推动广东省CO₂排放增加的主要因素.③生产结构、最终需求结构和初始投入结构变化导致CO₂排放量略有增加,表明广东省具有较大的通过调整结构性因素减排CO₂的潜力.综上,建议除了生产端CO₂减排措施外,广东省还应采取需求侧和供给侧相关措施,如优化消费行为、产品分配行为和初始投入结构等.      

中美贸易模式变化对中国大气汞排放的影响

在全球贸易体系中,美国是中国大气汞排放的主要外部消费驱动力之一。现有研究多核算国际贸易驱动的大气汞排放,识别主要的贸易驱动关系,缺乏中美贸易模式变化对中国大气汞排放的影响分析。本文基于环境扩展型投入产出模型和结构分解分析方法,计算了1997—2017年中美贸易驱动的中国大气汞排放量,并深入分析了贸易相关的社会经济因素对中国大气汞排放变化的相对贡献。研究结果表明:1997—2007年,中美贸易驱动的中国大气汞排放从13.5 t增至32.8 t,2007年后开始回落,2017年回落至13.6 t。贸易规模扩大是推动大气汞排放增加的最主要因素(62.6 t),排放强度降低是大气汞排放减少的最大驱动因素(-67.0 t)。生产技术水平变化和贸易结构变化的贡献相对较小,近年来逐渐起到促进大气汞排放减少的作用,但其贡献不稳定。根据研究结果,提出了加快产业创新升级,优化、稳定贸易结构,提升产品竞争力等建议。     

What have we known so far about microplastics in drinking water treatment? A timely review

• 23 available research articles on MPs in drinking water treatment are reviewed. • The effects of treatment conditions and MP properties on MP removal are discussed. • DWTPs with more steps generally are more effective in removing MPs. • Smaller MPs (e.g.,<10 μm) are more challenging in drinking water treatment. Microplastics (MPs) have been widely detected in drinking water sources and tap water, raising the concern of the effectiveness of drinking water treatment plants (DWTPs) in protecting the public from exposure to MPs through drinking water. We collected and analyzed the available research articles up to August 2021 on MPs in drinking water treatment (DWT), including laboratory- and full-scale studies. This article summarizes the major MP compositions (materials, sizes, shapes, and concentrations) in drinking water sources, and critically reviews the removal efficiency and impacts of MPs in various drinking water treatment processes. The discussed drinking water treatment processes include coagulation-flocculation (CF), membrane filtration, sand filtration, and granular activated carbon (GAC) filtration. Current DWT processes that are purposed for particle removal are generally effective in reducing MPs in water. Various influential factors to MP removal are discussed, such as coagulant type and dose, MP material, shape and size, and water quality. It is anticipated that better MP removal can be achieved by optimizing the treatment conditions. Moreover, the article framed the major challenges and future research directions on MPs and nanoplastics (NPs) in DWT.     

基于可编辑VR实验平台的突发事件下跟随效应研究

建立了可编辑VR疏散动力学实验平台,并招募100名大学生开展地铁车厢内的虚拟实验,探究突发事件下的跟随效应。每次实验有一名实验人员和20名虚拟乘客(NPC)参与,共设置5个场景探究不同比例的运动NPC对参与者预动作行为和运动行为的影响。通过分析问卷、预动作时间、出门选择、运动距离等数据,发现在实验中存在跟随等待人群和跟随运动人群两种跟随效应,而人群的运动是更为强烈的信息,当等待和运动NPC占比从0%提升至50%,等待和运动参与者占比分别提高10%和60%。因此,在突发事件场景中,应及时对局部人群施加有效的同向引导,以提升整体疏散效率。     

香港新机场侯机厅的基本几何结构特点及其火灾安全分区的简短回顾

描述了香港新机场侯机厅的基本几何结构特点,在没有扰乱机场的正常运作的情况下,对侯机厅的火灾安全分区进行了实地考查,对候机厅内的零售店发生轰燃所需的最小热释放速率进行了调查。     

泽泻(Alisma orientale)对全氟化合物的吸收和传输特征-浓度的影响

为探究泽泻(Alisma orientale)对不同浓度全氟化合物(PFASs)的吸收、积累和传输特征,进行了为期3周的水培实验,全氟辛酸和全氟辛烷磺酸的暴露浓度分别为0、5、10、50、100、200、500和1 000μg·L~(-1).结果表明:随着PFASs浓度的增加,根系电导率、根茎中Cu含量、茎叶中Ca含量均降低,但泽泻生长状况良好;植物对PFASs的去除量不断增加(0. 87～116. 50μg),去除率却不断降低(20. 1%～2. 9%).根、茎和叶中PFASs的浓度随着PFASs浓度的增加呈线性增加,且符合Langmuir吸附等温式和Michaelis-menten方程,表明泽泻通过被动扩散的方式吸收PFASs.计算PFOA和PFOS的根、茎和蒸腾流富集系数(RCF、SCF、TSCF),并用限制分配模型对RCF和SCF值进行拟合,发现RCF、SCF、TSCF和限制分配模型准平衡分配系数αpt均随着PFASs浓度的增加而降低,这是由于随着PFASs浓度的增加,达到平衡所需要的水分量增加,达到平衡的时间也变长.     

Materials,fuels, upgrading,economy, and life cycle assessment of the pyrolysis of algal and lignocellulosic biomass: a review

Climate change issues are calling for advanced methods to produce materials and fuels in a carbon–neutral and circular way. For instance, biomass pyrolysis has been intensely investigated during the last years. Here we review the pyrolysis of algal and lignocellulosic biomass with focus on pyrolysis products and mechanisms, oil upgrading, combining pyrolysis and anaerobic digestion, economy, and life cycle assessment. Products include oil, gas, and biochar. Upgrading techniques comprise hot vapor filtration, solvent addition, emulsification, esterification and transesterification, hydrotreatment, steam reforming, and the use of supercritical fluids. We examined the economic viability in terms of profitability, internal rate of return, return on investment, carbon removal service, product pricing, and net present value. We also reviewed 20 recent studies of life cycle assessment. We found that the pyrolysis method highly influenced product yield, ranging from 9.07 to 40.59% for oil, from 10.1 to 41.25% for biochar, and from 11.93 to 28.16% for syngas. Feedstock type, pyrolytic temperature, heating rate, and reaction retention time were the main factors controlling the distribution of pyrolysis products. Pyrolysis mechanisms include bond breaking, cracking, polymerization and re-polymerization, and fragmentation. Biochar from residual forestry could sequester 2.74 tons of carbon dioxide equivalent per ton biochar when applied to the soil and has thus the potential to remove 0.2–2.75 gigatons of atmospheric carbon dioxide annually. The generation of biochar and bio-oil from the pyrolysis process is estimated to be economically feasible.

     

彗星试验技术在水生与土壤环境中的毒理学应用

彗星试验是一种检测真核细胞脱氧核糖核酸(DNA)损伤的技术,快速、低成本、适用于几乎所有真核细胞,因此常应用于遗传毒理学、辐射生物学、肿瘤细胞学、毒性检测等方面。尤其以灵敏度高、检测联合毒性的特点大量运用于环境研究中。主要介绍彗星试验方法学发展历程,彗星试验的原理及其在环境领域中的应用,并指出应用中的受限因素以及未来的发展前景,为今后进一步推广该试验技术提供理论上的指导与参考。     

Risk measures constituting a risk metrics which enables improved decision making: Value-at-Risk

In this work, a novel approach is proposed for expressing the risks of process plants consisting of a large number of scenarios, in the form of a risk metrics of leading indicators to prevent potential high profile industry accidents. The methodology includes: 1) risk estimation of a portfolio by CPQRA (or QRA), 2) monetization of the tangible risks with the inclusion of the lost time of production, 3) estimation of the maximum portfolio loss using Value-at-Risk approach, 4) inclusion of intangible risks using FN-curve and, 5) generation of F$-curve of tangible risks. The proposed methodology can particularly help in understanding the stakes at risk by performing the overall cost-benefit analysis, for identifying the most risky scenarios and identifying critical equipments to enable better risk-informed decision making in order to adopt appropriate risk mitigation measures. This work establishes the groundwork for developing measures for understanding and comparing the large number of risk values derived from QRA studies for large portfolios. It will aid in less subjective decision making as it enables the decision maker to choose the most preferred portfolio option among alternatives. Decisions made with the accurate understanding of the consequences of risks can significantly reduce potential work-related fatalities, property losses and save millions of dollars.