Allocation and banking in Korean permits trading

This paper investigates how Korean industry would respond to four different allocation and banking options in CO₂ permit trading within a fully dynamic computational general equilibrium framework. Four different allocations are categorized—a uniform allocation and three performance-based allocations. We explore that performance-based allocation and banking lower losses in Korean potential GDP, allowing energy-intensive industry more flexibility in inter-temporal decision making on purchasing and selling permits. The steel industry can derive a particular advantage from a performance-based allocation with respect to energy use, while the semiconductor industry would prefer a performance-based allocation with respect to value-added. The two key conclusions are (i) the Korean economy should replace an absolute allocation with a performance-based allocation, and (ii) the banking of permits enables market players to reallocate allowances more efficiently in a long-term commitment period. These results support the findings of the key study by Kling and Rubin (1997).     

Study of urban atmospheric pollution in Navarre (Northern Spain)

An ambient air quality study was undertaken in two cities (Pamplona and Alsasua) of the Province of Navarre in northern Spain from July 2001 to June 2004. The data were obtained from two urban monitoring sites. At both monitoring sites, ambient levels of ozone, NO_x, and SO₂ were measured. Simultaneously with levels of PM₁₀ measured at Alsasua (using a laser particle counter), PM₁₀ levels were also determined at Pamplona (using a beta attenuation monitor). Mean annual PM₁₀ concentrations in Pamplona and Alsasua reached 30 and 28 μg m⁻³, respectively. These concentrations are typical for urban background sites in Northern Spain. By using meteorological information and back trajectories, it was found that the number of exceedances of the daily PM₁₀ limit as well as the PM₁₀ temporal variation was highly influenced by air masses from North Africa. Although North African transport was observed on only 9% of the days, it contributed the highest observed PM₁₀ levels. Transport from the Atlantic Ocean was observed on 68% of the days; transport from Europe on 13%; low transport and local influences on 7%; and transport from the Mediterranean region on 3% of the days. The mean O₃ concentrations were 45 and 55 μg m⁻³ in Pamplona and Alsasua, respectively, which were above the values reported for the main Spanish cities. The mean NO and NO₂ levels were very similar in both sites (12 and 26 μg m⁻³, respectively). Mean SO₂ levels were 8 μg m⁻³ in Pamplona and 5 μg m⁻³ in Alsasua. Hourly levels of PM₁₀, NO and NO₂ showed similar variations with the typically two coincident maximums during traffic rush hours demonstrating a major anthropogenic origin of PM₁₀, in spite of the sporadic dust outbreaks.     

Inorganic constituents of urban air pollution in the Lazio region (Central Italy)

A field study was carried out at six locations in the Lazio region (Central Italy) aimed at characterising atmospheric particulate matter (PM₁₀ and PM_2.5) from the point of view of the chemical composition and grain size distribution of the particles, the mixing properties of the atmosphere, the frequency and relevance of natural events. The combination of four different analytical techniques (ion chromatography, X-ray fluorescence and ICP for inorganic components, thermo-optical analysis for carbon compounds) yielded sound results in terms of characterisation of the air masses. During the first three months of the study (October-December 2004), many pollution events of natural (sea-salt or desert dust episodes) or anthropogenic nature were identified and characterised. More than 90% of the collected mass was identified by chemical analysis. The central role played by the mixing properties of the lower atmosphere when pollution events occurred was highlighted. The results show a major impact of primary anthropogenic pollutants on traffic stations and a homogeneous distribution of secondary pollutants over the regional area. An evaluation of the sources of PM and an identification of possible reliable tracers were obtained using a chemical fractionation procedure.     

2015年新疆阿克苏市沙尘污染与气象因素关系的分析

应用阿克苏市国家基准站及2个环保局监测站2015年大风沙尘天气过程前后PM10浓度变化及其与污染源、NECP全球再分析资料、风、监测站周边环境等关系进行分析.结果表明,阿克苏市春季沙尘天气的首要污染物均为PM10,PM10的变化曲线呈正态分布,春季中度及以上污染日均出现在污染日当日或次日.造成阿克苏市沙尘天气污染源分本地型、外来型以及二者共同影响型三种.本地型沙尘污染强度取决于北风风速大小及强风持续时间,PM10浓度变化与风速呈正相关.而外来型污染多发生在本地型沙尘天气之后,"东灌"冷空气裹挟沙尘进入南疆盆地,造成地面加压,浮尘天气造成PM10浓度增大,并持续数天.总结出沙尘天气污染预警的几个必要条件,后续在地区环保局、县局监测站建立的情况下,为分析阿克苏地区"八县一市"污染物与气象因素的关系提供借鉴,同时为实际的空气质量预警提供参考.     

杭州市大气PM2.5和PM10污染特征及来源解析

2006年在杭州市两个环境受体点位采集不同季节大气中PM2.5和PM10样品,同时采集了多种颗粒物源类样品,分析了其质量浓度和多种化学成分,包括21种无机元素、5种无机水溶性离子以及有机碳和元素碳等,并据此构建了杭州市PM2.5和PM10的源与受体化学成分谱;用化学质量平衡(CMB)受体模型解析其来源。结果表明,杭州市PM2.5和PM10污染较严重,其年均浓度分别为77.5μg/m3和111.0μg/m3;各主要源类对PM2.5的贡献率依次为机动车尾气尘21.6%、硫酸盐18.8%、煤烟尘16.7%、燃油尘10.2%、硝酸盐9.9%、土壤尘8.2%、建筑水泥尘4.0%、海盐粒子1.5%。各主要源类对PM10贡献率依次为土壤尘17.0%、机动车尾气尘16.9%、硫酸盐14.3%、煤烟尘13.9%、硝酸盐粒8.2%、建筑水泥尘8.0%、燃油尘5.5%、海盐粒子3.4%、冶金尘3.2%。     

遵义市PM10中元素污染特征、来源与生态风险评价

采集2012年3月-2013年2月遵义市丁字口（市区点）、凤凰山（背景点）监测点的 PM10样品,并对 PM10中元素污染特征、来源和生态风险进行分析与评价。结果表明,遵义市 PM10质量浓度季节变化为：冬季＞春季＞秋季＞夏季,且市区点高于背景点,冬季超标率均为100％。PM10中 As、Pb、Hg、Mn质量浓度市区点高于背景点,且均为冬季最高。富集因子分析表明,Pb、As、Cd、Hg、Mn、Cu、Zn来自人为污染,生态危害顺序为：Cd＞Pb ＞As＞Cu ＞Zn ＞Ni ＞Cr,其中 Cd 的潜在生态危害为极强。     

京津冀地区经济发展与PM10浓度变化的灰色关联分析

近几年,京津冀地区因灰霾天气频发而备受关注。通过分析京津冀地区PM10浓度变化与主要经济指标的关系,查找京津冀地区空气污染原因,并为今后污染控制措施提供参考。采用灰色关联分析法,对2007—2012年京津冀地区PM10与GDP、钢铁产量、煤炭消费总量、原油消费总量、天然气消费总量5项经济指标进行了分析,结果表明,在与本地经济指标的关联度方面,京津冀地区、北京市、天津市的PM10与煤炭消费总量相关性高;河北省略有不同,钢铁产量为关联度最高的经济指标。在与京津冀地区经济指标的关联度方面,相比本地,北京市、河北省均呈现较大差异性,天津市差异性较小,说明北京市、河北省空气质量受自身影响较大,天津市空气质量受区域传输影响明显。建议整个京津冀地区均应重点加大"控煤"力度,天津市还需加强区域联防联控力度,河北省应加快钢铁企业转型升级,压缩过剩产能。     

Evaluation of levels, sources and distribution of toxic elements in PM10 in a suburban industrial region, Rio de Janeiro, Brazil

The Oswaldo Cruz Foundation Campus (FIOCRUZ), in a suburban region of the city of Rio de Janeiro, was selected as a case study to assess the pollution released from vehicle and industrial facilities in Basin III, the most polluted area of the city. Concentrations of particulate matter (PM10) and trace metals in airborne particles were determined in an intensive field campaign. The samplings were performed every six days for 24 h periods, using a PM10 high volume sampler, from September 2004 to August 2005. PM10 mass concentrations were determined gravimetrically and the metals by ICP-OES. For PM10, the arithmetic mean for the period is 169 ± 42 μg m⁻³ which is 3.4 times the national recommended standard of 50 μg m⁻³. Additionally, 51% of the samplings exceeded the recommended 24 h limit of 150 μg m⁻³. Ca, Mg, Fe, Zn and Al were the metals that presented the higher concentrations. The correlation matrix gave two main clusters and three significant principal components (PC). Both PC1 and PC2 are associated to crustal, vehicular and industrial emissions while PC3 is mainly associated to geological material. Enrichment factors for Zn, Cu, Cd and Pb indicate that for these elements, anthropic sources prevail over natural inputs. PM10 levels showed a good correlation with hospital admissions for respiratory diseases in children and elderly people.     

Monitoring of ambient particles and heavy metals in a residential area of Seoul, Korea

In this study, ambient TSP, PM10, and PM2.5 in a residential area located in the northern part of Seoul were monitored every other month for 1 year from April 2005 to February 2006. The monthly average levels of TSP, PM10, and PM2.5 had ranges of 71∼158, 40∼106, and 28∼43 μg/m³, respectively. TSP and PM10 showed highest concentration in April; this seems to be due to Asian dust from China and/or Mongolia. However, the fine particle of PM2.5 showed a relatively constant level during the monitoring period. Heavy metals in PM 10 and PM2.5, such as Cr, As, Cd, Mn, Zn and Pb, were also analysed during the same period. The monthly average concentrations of heavy metal in PM2.5 were Cr:1.9∼22.7 ng/m³; As:0.9∼2.5 ng/m³; Cd: 0.6∼7 ng/m³; Mn:6.1∼22.6 ng/m³; Zn: 38.9∼204.8 ng/m³, and Pb: 21.6∼201.1 ng/m³. For the health risk assessment of heavy metals in ambient particles, excess cancer risks were calculated using IRIS unit risk. As a result, the excess cancer risks of chromium, cadmium, and arsenic were shown to be more than one per million based on the annual concentration of heavy metals, and chromium showed the highest excess cancer risk in ambient particles in Seoul.     

宁波PM10中有机碳和元素碳的季节变化及来源分析

为了探讨宁波市大气颗粒物中浓度水平与季节变化,2010年1、5、8、11月分季节采集了宁波市大气中PM10样品,在宁波连续观测了PM10以及有机碳(OC)、元素碳(EC)的浓度变化,并探讨宁波全年各季碳气溶胶污染变化特征;PM10中OC和EC相关性较好,说明OC与EC的来源相同,各采样点PM10中OC/EC的各季均值大部分超过2.0,表明宁波空气中存在一定的二次污染。宁波秋季SOC占OC含量高于其他季节。从PM10中8个碳组分丰度初步判断宁波市颗粒物中碳的主要来源是汽车尾气、道路扬尘及燃煤。