Spatial and temporal variations and mobile source emissions of polycyclic aromatic hydrocarbons in Quito, Ecuador

Motor vehicles are a major source of air pollution in Quito, Ecuador; however, little work has been done to characterize spatial and temporal variations in traffic-related pollutants, or to measure pollutants in vehicle emissions. We measured PAH continuously for one year at two residential sites in Quito, and PAH and traffic patterns for one week near a busy roadway. Morning rush-hour traffic and temperature inversions caused daily PAH maxima between 06:00 and 08:00. SO₂, NO_x, CO, and PM_2.5 behaved similarly. At the residential sites PAH levels during inversions were 2-3-fold higher than during the afternoon, and 10-16-fold higher than 02:00-03:00 when levels were lowest. In contrast, at the near-roadway site, PAH concentrations were 3-6-fold higher than at the residential sites, and the effects of inversions were less pronounced. Cars and buses accounted for >95% of PAH at the near-roadway site. Near-roadway PAH concentrations were comparable to other polluted cities.     

江苏省沿海地区经济发展与碳排放相关性研究

与能源结构和能源效率因素相比,经济发展对人均碳排放的影响最为显著.以江苏省沿海地区能源消费情况为基础,研究得出地区碳排放、人均碳排放,并且1999-2008年该地区碳排放量与人均碳排放量的增加趋势一致.选取人均GDP来代表经济增长数据,人均CO2排放代表碳排放数据,借助环境库兹涅茨曲线(EKC)模型来分析江苏省沿海地区经济发展与CO2排放之间的关系和演变态势.根据环境库兹涅茨曲线研究江苏省沿海地区经济发展与人均碳排放之间的关系,相关性研究结果表明,最优拟合模型中参数α0为0.245 7,α1为3.658 14e-5,α2为1.318 32e-8,α3为-3.298 09e-13,所以根据模型设定判断得出:1999-2008年间江苏省沿海地区人均碳排放置和人均GDP并不符合标准的环境库兹涅茨曲线(倒U型)关系,而是表现为三次方曲线模型.同时,依据人均碳排放量的变化特征,将江苏省沿海地区人均碳排放分为两个阶段:1999-2006年,人均碳排放量随着经济的增长持续增加;2006-2008年人均碳排放量随经济增加趋势变缓.     

The Concept and Theoretical Implications of Carbon Emissions Rights Based on Individual Equity

Abstract

Climate change has become a hot topic in international environmental negotiations. For post-Kyoto international climate regime negotiations, many countries have proposed a variety of frameworks to share the emission reduction responsibilities and allocate carbon emission rights, and have tried to quantify the emission reduction obligations of all countries based on the perspectives of international equity and individual equity. In this paper, the authors have distinguished the concepts of carbon emissions rights based on these two perspectives respectively, have analyzed the relationship between carbon emissions per capita and economic development, and have calculated and compared the proportion of cumulative emissions per capita of different countries in history and future, and then authors conclude that emission reduction obligations should be allocated based on each country’s conditions, including historical emissions, development stage, and future demands. Developed countries should take the initiative to significantly reduce their emissions because they have already accomplished their industrialization process. However, developing countries are still in the process of industrialization, which requires more emission rights to meet their development needs. For China, the concept of carbon emissions based on individual equity can be used as a theoretical tool for the allocating the international carbon emissions rights.     

青岛秋冬季PM1中金属元素污染特征及健康风险评估

于2018年11月1日至2019年1月31日（OP_2018-2019）和2019年11月1日至2020年1月20日（OP_2019-2020）在青岛对PM₁进行了连续两年秋冬季逐日采集.将观测期划分为4个空气质量等级（Ⅰ级、Ⅱ级、Ⅲ级和Ⅳ级）,分析了PM₁中金属元素浓度特征及来源,评估了不同人群的非致癌风险（Zn、Pb、Mn、Cu和V）和致癌风险（As、Cr、Ni、Cd和Co）.结果表明,与OP_2018-2019相比,OP_2019-2020期间不同空气质量等级下金属元素总浓度变化与Ca、K和Al浓度变化有关,受扬尘源和生物质燃烧源影响较大.与OP_2018-2019相比,OP_2019-2020期间不同空气质量等级下V浓度分别下降19.0%、60.5%、82.7%和77.5%.推测与船舶国内排放控制区域（DECA）政策实施有关,青岛周边海域船舶改换燃油品质,导致V浓度大幅降低.由富集因子、比值法和气流后向轨迹结果进一步表明V浓度变化主要受DECA政策影响.然而,实施DECA政策后,V/Ni值作为判断区域内受船舶源影响的限值,需进一步探究.由健康风险评估结果表明,OP_2018-2019和OP_2019-2020期间非致癌元素Mn的危险系数范围为0.07~1.22,建议加强管控含Mn污染源的排放.OP_2018-2019和OP_2019-2020期间不同空气质量下As、Cd的终生致癌风险概率（ILCR）值低于10^-4,但高于10^-6,表明存在致癌概率,但仍可接受.OP_2018-2019期间空气质量为Ⅳ级时,Cr的ILCR值高于10^-4,存在致癌风险.     

基于灰色支持向量机组合模型的我国火电NOx排放量预测

区域火电NO_x排放量的预测属于小样本、贫信息的灰色系统. 由于NO_x排放量受多个因素的叠加性影响,单一预测模型难以准确反映NO_x排放量的复杂变化,易产生较大的预测误差. 基于此,利用灰色预测理论和支持向量机预测理论,建立了火电NO_x排放量组合优化预测模型. 采用国家权威部门发布的火电NO_x排放量数据,综合考虑影响我国火电NO_x排放量的主要因素,对我国2008—2010年以及2020年的火电NO_x排放量进行了预测,预测结果与官方公布的实际值基本一致; 同时,预测的时间大大缩短.      

基于CiteSpace的城市空间形态与碳排放关系研究进展

城市空间形态与碳排放的关系是低碳城市建设的理论依据。基于WOS和CNKI数据库,采用CiteSpace软件对1991—2022年城市空间形态与碳排放的关系进行了综述。从发文趋势、合作网络、突现词探测、关键词分析等角度,分析了该领域的发展动态、研究热点,并通过关键词聚类对文献相关内容进行综合解析。结果表明：（1）1991—2022年该领域发文量总体呈上升趋势,在国际重要事件节点上,发文量有大幅上升。（2）中国是该领域发文最多的国家,发文量达34.03%,美国发文中心性最高,为0.48,且国家、机构合作紧密。（3）关键词共现表明探究城市形态对碳排放的影响一直是学术界关注的热点;突现词探测表明研究重心逐渐从与交通碳排放相关的城市空气质量转移到与城市形态和碳排放有关的内容上来。（4）从关键词聚类标签来看,国内外将城市碳排放测算作为重中之重,并通过指标量化城市空间形态分析城市形态对碳排放的驱动作用;通过建立模型定量探讨城市空间形态与碳排放的关系是未来的研究趋势。未来应编制规范的城市层面碳排放清单以提高测算精度、拓宽城市形态与碳排放关系的研究尺度、深入挖掘三维城市空间形态与碳排放的关系。     

基于 LCA 的市域尺度稻田系统温室气体排放评估方法及实证：以台州市为例

开展稻田温室气体排放量化评估,明确稻田温室气体（greenhouse gases,GHGs）排放的构成、分布及其变化趋势,是推进农业绿色可持续发展的重要前提。基于生命周期评价法（life cycle assessment,LCA）,筛选集成稻田CO₂、CH₄、N₂O排放评估模型,提出市域尺度稻田GHGs排放核算框架,并量化分析2001—2017年台州市不同类型水稻GHGs排放的构成、分布及其变化趋势。结果表明：（1）水稻单位面积碳足迹呈现上升趋势,单位产量碳足迹呈下降趋势;单季稻单位面积碳足迹最高（8467 kg∙hm⁻²,以CO₂计,余同）,连作晚稻单位产量碳足迹最高（1.28 kg∙kg⁻¹）。（2）2001—2017年台州市水稻田GHGs排放总量呈下降趋势,从1110.52 Gg（以CO₂计,余同）降至557.23 Gg;2017年水稻GHGs排放主要集中于温岭市（131.39 Gg）、临海市（121.64 Gg）,玉环市排放量最低（9.37 Gg）,早稻和连作晚稻GHGs排放主要集中在温岭市,单季稻GHGs排放集中于临海市。（3）在农资投入碳足迹构成中化肥占比最大（50.46%）,单位面积碳足迹结构中CH₄占比最大（75.26%）。通过展开在市域尺度上水稻GHGs排放的核算过程,旨在为农田系统的碳排放提供更加精细化的计算方式,并为寻找更有效的碳减排路径及农田系统的可持续发展提供科学支撑。     

Enrichment and transfer of polycyclic aromatic hydrocarbons (PAHs) through dust aerosol generation from soil to the air

● Compositional patterns of PAHs in dust aerosol vary from soil during dust generation. ● The EF of PAH in dust aerosol is affected by soil texture and soil PAH concentration. ● The sizes of dust aerosol play an important role in the enrichment of HMW-PAHs. Polycyclic aromatic hydrocarbons (PAHs) are major organic pollutants in soil. It is known that they are released to the atmosphere by wind via dust aerosol generation. However, it remains unclear how these pollutants are transferred through the air/soil interface. In this study, dust aerosols were generated in the laboratory using soils (sandy loam and loam) with various physicochemical properties. The PAH concentrations of these soils and their generated dust aerosol were measured, showing that the enrichment factors (EFs) of PAHs were affected by soil texture, PAH contamination level, molecular weight of PAH species and aerosol sizes. The PAHs with higher EFs (6.24–123.35 in dust PM_2.5; 7.02–47.65 in dust PM₁₀) usually had high molecular weights with more than four aromatic rings. In addition, the positive correlation between EFs of PAHs and the total OC_aerosol content of dust aerosol in different particle sizes was also statistically significant (r = 0.440, P < 0.05). This work provides insights into the relationship between atmospheric PAHs and the contaminated soils and the transfer process of PAHs through the soil-air interface.     

Evaluating CO2 reduction strategies in the US

We constructed a model to simulate emissions of CO₂ from electricity generation in the US and, using the model, we developed 20-year projections of emissions under various regulatory scenarios.     

Preventive control of odor emissions through manipulation of operational parameters during the active phase of composting

Better understanding of the effects of key operational parameters or environmental factors on odor emission is of critical importance for minimizing the generation of composting odors. A series of laboratory experiments was conducted to examine the effects of various operating conditions on odor emissions. The results revealed that airflow rates that were too high or too low could result in higher total odor emissions. An optimal flowrate for odor control would be approximately 0.6 L/min.kg dry matter with intermittent aeration and a duty cycle of 33%. Temperature setpoint at 60°C appeared to be a turning point for odor emission. Below this point, odor emissions increased with increasing temperature setpoint; conversely, odor emissions decreased with increasing temperature setpoint above this point. With regard to the composting material properties, odor emissions were greatly affected by the initial moisture content of feedstock. Both peak odor concentration and emission rate generally increased with higher initial moisture content. Odor emission was significant only at moisture levels higher than 65%. An initial moisture level below 45% is not recommended due to concern with the resulting lower degree of biodegradation. Biodegradable volatile solids content (BVS) of feedstock had pronounced effect on odor emissions. Peak odor concentration and emission rate increased dramatically as BVS increased from 45% to 65%, thus, total odor emission increased exponentially with BVS.