新乡市机动车排放对道路灰尘中重金属与多环芳烃污染的影响

以新乡市主要道路的地表灰尘为样本,采用电感耦合等离子体质谱仪和气相色谱质谱联用仪分别测定所含5种重金属(Cd、Pb、Cr、Cu和Zn)和15种多环芳烃(polycyclic aromatic hydrocarbons,PAHs)的含量,并探究了机动车排放对其污染特征的影响.结果显示,重金属和PAHs的含量范围分别为2. 58～1 560 mg·kg~(-1)和ND～1. 30 mg·kg~(-1),其含量总体上随灰尘粒径减小而增高.组成上,重金属以Zn为主,PAHs主要以高环为优势组分.空间分布上,重金属和PAHs含量存在差异:人民路、小店工业园区和水泥厂附近道路灰尘中的重金属总含量最高,而PAHs含量的高值出现在人民路、高速上口和107国道的灰尘中.Pearson相关分析表明,5种重金属与15种PAHs间基本不存在正相关关系.通过聚类分析和因子分析发现,新乡市道路灰尘中的重金属基本不受机动车排放影响,而PAHs受机动车排放影响较大.     

“双碳”背景下北京市农业温室气体排放评估及“十四五”时期减排潜力预测

为实现"双碳"目标,北京市相关规划对"十四五"时期农业领域温室气体排放控制提出严格要求.通过收集北京市农业活动水平数据,计算和筛选排放因子,评估北京市2020年农业温室气体排放量,分析排放特征;结合北京市自然条件和种养模式,筛选适宜的减排措施,预测"十四五"时期温室气体减排潜力及分布,分析优化措施减排效果,并提出相关政策建议.结果表明,北京市2020年农业温室气体排放总量（以CO₂-eq计,下同）为45.6万t,以动物肠道发酵和动物粪便管理排放为主,贡献率分别为50.7%和26.7%,主要集中在顺义区、密云区、延庆区等畜禽养殖规模较大的郊区;预测"十四五"期间,北京市农业温室气体减排潜力为10.7万t.动物肠道发酵为减排潜力最大的排放源（6.0万t）,其次为动物粪便管理（3.7万t）;CH₄的减排潜力大于N₂ O;减排潜力主要分布在密云区、顺义区、延庆区、房山区和通州区等畜禽养殖规模较大的郊区;调整饲料结构和优化粪便管理方式为效果最明显的减排措施.     

Sulfate-containing amendments to reduce methane emissions from rice fields: mechanisms,effectiveness and costs

Application of sulfate-containing amendments is oftensuggested as a mitigation option to reduce methane (CH₄) emissionsfrom rice (Oryza) fields. This paper discusses the mechanism andpotential of this mitigation option, reviews the relevant experimental data,and presents first, indicative costs of application. CH₄ emission datafor rice fields with sulfate-containing amendments are compiled toreinterpret the resulting reduction in CH₄ emission and find a generalrelationship between emission reduction and amount of sulfate applied. Thereduction in CH₄ emission depends on the amount of sulfate applied.However, absolute emission reduction is location specific and cannot bederived from the amount of sulfate (SO^2- ₄) applied only. We established alogarithmic relationship, across locations, between SO^2- ₄ application andfractional emission reduction relative to the emission of the non-amendedcontrol field. Recycling of SO^2- ₄ in the rhizosphere was essential to explainthe observed reductions in CH₄ emission for a number of theexperiments. The cost of applying SO^2- _{_4}-containing fertilizers varies acrosscountries and depends on local fertilizer prices. Since a fractional reductionis obtained, the cost-efficiency in terms of CH₄ mitigation per unitof SO^2- ₄ applied will be highest in high-emitting rice production systems.Provided the proper target areas are selected, the cost of SO^2- ₄-containingfertilizer as a mitigation option to reduce CH₄ emissions in rice fieldsis estimated at 5–10 US dollar per Mg CO₂-equivalent.     

某生活垃圾卫生填埋场填埋作业区覆膜抽气除臭试验研究

本文采用三种不同的覆膜抽气模式对填埋场作业面进行除臭试验研究,结果表明:覆膜1.0mm+3台负压车、2条负压管比单层覆膜0.3mm+1台负压抽气车、2条临负压管或覆膜0.3mm+3台负压车对氨气、硫化氢和臭气浓度的去除效果都要更好;但覆膜抽气法对总挥发性有机物(Total Volatile Organic Compounds,TVOC)的去除效果较之前更差,这主要是由于TVOC主要为分子量较大的有机物,扩散较慢,且垃圾堆体在厌氧条件下产生的TVOC浓度更高。     

环境—经济系统下工业“三废”排放的预测和控制对策

我国现阶段的环境问题应放在环境－经济系统下进行考察和解决。结合环境－经济系统，系统分析环境问题产生的经济，制度根源，并运用经济计量工具建立模型预测环境－经济系统下我国工业“三废－排放情况，提出控制，提出控制我国工业”三废“排放的政策建议。     

Ammonia in urban atmosphere can be substantially reduced by vehicle emission control: A case study in Shanghai, China

To investigate the impact of emission controls on ammonia (NH₃) pollution in urban atmosphere, observation on NH₃ (1 hr interval) was performed in Shanghai before, during and after the 2019 China International Import Expo (CIIE) event, along with measurements on inorganic ions, organic tracers and stable nitrogen isotope compositions of ammonium in PM_2.5. NH₃ during the CIIE period was 6.5±1.0 µg/m³, which is 41% and 32% lower than that before and after the event, respectively. Such a decrease was largely ascribed to the emission controls in nonagricultural sources, of which contribution for measured NH₃ in control phase abated by ∼20% compared to that during uncontrol period. Molecular compositions of PAHs and hopanes further suggested a dominant role of the reduced vehicle emissions in the urban NH₃ abatement during the CIIE period. Our results revealed that vehicle exhaust emission control is an effective way to mitigate NH₃ pollution and improve air quality in Chinese urban areas.     

Analyses of platinum group elements in mosses as indicators of road traffic emissions in Austria

The concentrations of platinum group elements (PGE; platinum, palladium, rhodium) and 17 other elements in mosses growing at 32 sampling sites along 12 roads in Austria were analysed. The study included passive monitoring of naturally growing mosses with an experimental design using mosses samples exposed in a tunnel experiment. PGEs (Pt, Pd, Rh) were analysed by ICP-MS (ELAN DRC II, Perkin Elmer SCIEX) according to EN ISO 17294-2 Tl.29. Mean concentrations of PGEs in five moss species were: Pt 7.07±9.97, Pd 2.8±5.2 und Rh 0.6±0.8 ng g⁻¹ dry weight. This is comparable to data derived from measurements of gasoline autocatalyst emissions or airborne particles (<10 μm). Compared to soils and road dust along highways, concentrations in mosses were lower by a factor of ten, compared to grasses they were comparable or somewhat higher. The ratios between the various PGEs were calculated as follows (mean values): Pt/Pd 7.9±10.2, Pt/Rh 12.6±8.3 and Pd/Rh 3.7±2.2. The number of light duty vehicles (<3.5 t) and the distance from the road were the main influential factors for PGE concentrations. Especially strong correlations could be found between Pt and Sb, Cu, Zn, and Cd (in decreasing order), which are all elements derived mainly from road traffic emissions. Cluster analysis (Partioning Around Medoids Method) separated elements derived mainly from soil dust (Ca, Al). An analysis of spatial deposition patterns of PGEs showed a reciprocal decrease of concentrations with increasing distance from the road, reaching background values at distances between 10 and 200 m, sometimes even more, but outside the spatial range of our investigation.     

Emissions trading in Hong Kong and the Pearl River Delta region—A modeling approach to trade decisions in Hong Kong's electricity industry

In 2002, the Hong Kong government and the Guangdong provincial government agreed to reduce emissions of sulfur dioxide, nitrogen oxides, respirable suspended particulates, and volatile organic compounds by 40%, 20%, 55%, and 55%, respectively. There was strong public demand for the power stations in Hong Kong to reduce emissions. Emission caps were introduced, with allowances for the trading of emission credits. However, local power stations were using equipment built in the 1980s and 1990s, making it difficult for them to meet the new emissions requirements. The situation presented a new challenge, which involved a choice of either improving the existing equipment, or using emissions trading to meet the emission caps. This study reviews the background on emissions in Hong Kong and the surrounding regions, the “cap and trade” system, and the technologies used for power generation and emission reduction. A modeling approach is adopted to simulate the equipment, the electricity dispatching requirements, and the costs of either reducing emissions or trading emission credits. Data from a power station in Hong Kong was chosen for the simulation. Different options were simulated in the model to identify the optimal strategy. The results were then compared with the plan for emission reduction. This study demonstrates that a modeling approach using linear programming can analyze the complicated options involving emission reduction and investments to achieve an optimized business solution.     

中国碳排放库兹涅茨曲线实证研究——基于Gregory-Hansen协整分析

中国反复、多次出现大范围持续性雾霾天气使碳排放与经济增长问题成为理论界研究的热点,选取1978~2012年中国历年相关统计数据,采用Gregory-Hansen协整检验方法结合结构突变分析,实证检验我国碳排放与能源消费、经济增长及产业结构的关系。研究结果显示,中国碳排放环境库兹涅茨曲线为正U型,且该曲线存在结构突变;经济增长、能源消费、产业结构对碳排放都具有显著的增排效应。因此,建议在保证经济可持续的中高速增长前提下,通过提高能源利用效率、推进产业结构调整等措施来降低碳排放量,使"APEC蓝"能够成为一种"新常态"。     

基于空间面板模型的碳排放影响因素分析——以长江经济带为例

随着全球变暖问题的日益严峻,气候问题引起了国际社会的广泛关注。长江经济带作为中国区域发展"三大战略"之一,面临着严峻的碳减排压力。为此,以二氧化碳排放为测度指标,定量分析了1998~2012年长江经济带二氧化碳的时空格局特征,并构建碳排放影响因素的空间面板模型,分析了产业结构、人口总量、经济水平、技术水平与城市化水平对长江经济带碳排放的影响。研究结果表明:1碳排放的绝对差异呈增大趋势,相对差异呈波动变化趋势;碳排放与人均GDP(1997年不变价)的相关性较弱;2碳排放空间格局相对稳定,高碳排放区域以江苏为中心,逐渐向四周扩散;3空间面板模型结果表明:人口总量是影响长江经济带碳排放时空格局演化的决定性因素,其次依次为经济水平、技术水平和城市化水平。