碳责任账户的目标原则、分配逻辑与框架构建：账户建立

随着全球环境问题日趋严重,企业和消费者日益认识到减缓气候变化的紧迫性。作为经济活动的主要参与者,减少温室气体排放已经成为任何单个企业及其供应链的巨大挑战。供应链的所有参与者都需要为气候减缓做出努力。现有的碳排放责任核算大多从企业的生产方面入手。最终消费者作为供应链的重要参与者,是所有生产者的最终服务对象,同样具有不可忽视的碳减排作用以及应承担的碳减排责任。本文提出以产品为导向,考虑产品生产过程中的直接碳排放和间接碳排放,建立产品碳排放基准值,对基于供应链的所有参与主体进行责任分配,进而建立基于供应链的碳责任账户。本文构建的责任体系框架具有更广泛、更有前景的应用潜力。     

北京市典型废弃物焚烧源2010—2017年二NFDA1英排放特征和减排效果分析

分析2010—2017年北京市三类典型废弃物焚烧源的废气二NFDA1英排放监测数据,计算排放因子和排放量,评估减排政策成效,并分析不同排放源达标排放时同类物分布特征异同和变化规律,探讨影响排放的重要因素。结果表明: 5家焚烧源平均排放浓度为 0.008～0.069 ng/m³(以TEQ计,下同),废气二NFDA1英排放因子为 0.027～1.7 μg/t,2016年向空气中排放的二NFDA1英量为 0.002 5～0.058 g;生活垃圾、危险废物和医疗废物焚烧源的低、高氯代同类物质量分数比的平均值分别为接近于 0.5、大于0.5和小于0.5,危险废物焚烧源的 ∑PCDFs、∑PCDDs质量分数比的平均值大于2; 123478-HxCDF和123678-HxCDF质量浓度接近且线性相关,具有相近的生成机理和去除效率; I-TEQ变化趋势与∑PCDFs质量分数的变化趋势基本一致,活性炭喷射和布袋除尘的去除效率是影响二NFDA1英排放的重要因素之一;危险废物焚烧源HWI1随运行时间增加排放浓度增加,而及时更换烟道管壁有助于消除“记忆效应”的不良影响。     

北京首都机场绿色滑行时间估算

采用北京首都机场2014年实际CDM地面放行数据确定航空器的污染物排放量与离场排队飞机数量和落地滑入飞机数量的强关联性,构建包含这两个解释变量为影响因素的多元线性回归模型,用以估算几种常见机型在首都机场地面运行时的最小污染物排放量和绿色滑行时间。对比实际污染物排放量与最小污染物排放量,得出首都机场离场地面污染物排放量远远超过最小污染物排放量。     

施工工地出口附近道路交通扬尘排放特征研究

为了量化施工工地附近社会道路因施工运输车辆带泥及遗撒造成的二次交通扬尘,对4个典型工地出口2个方向社会道路尘负荷进行了采样分析,根据AP-42交通扬尘排放模型,计算和分析了工地出口附近道路交通扬尘排放特征.结果表明,工地出口附近道路尘负荷高于正常道路,随着距离工地出口长度的增加,尘负荷逐渐减小;工地出口2个方向共400 m道路上交通扬尘PM₁₀排放因子为正常道路的2～10倍,因施工增加的排放量相当于422～3?800 m正常道路排放.根据以上结果,结合2002年北京市施工工地时空分布数据,经计算得出,2002年北京市城八区工地出口形成的二次扬尘相当于增加了道路总长度的59%.     

重型柴油车实际道路排放与行驶工况的相关性研究

采用SEMTECH-D车载排放测试仪测量了东风柴油卡车在城市实际道路工况以及等速和加速工况下的油耗及污染物排放状况.测试结果显示,测试卡车实际道路综合百公里油耗为17.8 L,NOx、CO和HC排放因子分别为3.96、8.86和2.15g·km-1.其中主干道路况相对较差,油耗与排放因子较高,是所有测试道路平均水平的1.3～1.8倍左右.研究结果表明,重型车油耗及污染物排放与各行驶工况下的速度、加速度均密切相关,车辆在高速加速行驶状态下易产生高排放.车辆在30～50 km·h-1速度区间内等速行驶时,油耗与排放因子最为经济且环境友好.车辆在加速行驶时,油耗与NOx、CO排放因子可达到城市实际道路平均水平的2.0、2.2、1.4倍,急加速时达到2.8、2.1、14倍.应用比功率概念可准确描述车辆在各运行工况下的排放水平,但在重型车上缺乏实验依据,有待进一步研究.     

延安路机动车排气污染物扩散街道峡谷扩散模式

根据上海市延安路车辆行驶工况和路旁建筑物特征,基于流体动力学理论,对延安路典型路段的大气污染扩散情况建立了城市街道峡谷扩散模型,利用有限元分析软件ANSYS进行的模拟和分析。对上海市的街道形状与汽车排放污染扩散情况进行讨论。     

不同小叶章湿地H2S和COS的排放通量研究

利用静态箱/气相色谱法,观测了小叶章沼泽化草甸和小叶章典型草甸两种湿地类型中H2S和COS在生长季(5-9月)的释放动态,结果表明:在两种小叶章湿地中,H2S和COS的排放通量均具有明显的季节和日变化规律.在小叶章沼泽化草甸中H2S和COS的平均释放通量分别为0.34μg·m-2·h-1和-0.29μg·m-2·h-1;小叶章典型草甸H2S和COS的平均释放通量分别为0.14μg·m-2·h-1和-0.20μg·m-2·h-1;小叶章沼泽化草甸H2S和COS的平均释放通量均高于小叶章典型草甸.在生长季两种小叶章湿地均能向大气释放H2S,对COS则表现为从大气中吸收.小叶章的生长过程对H2S和COS的排放影响显著,在小叶章生长旺盛期,H2S出现排放峰值,COS出现吸收高峰.     

蜡烛燃烧产生的亚微米颗粒物的数量排放因子

蜡烛燃烧产生的亚微米颗粒物(在10nm-500nm范围内),稳定燃烧排放的颗粒物呈单峰正态分布,而非稳定燃烧呈近似双峰正态分布.将现场测得的浓度数据通过气溶胶动力方程转化为排放因子.结果表明,蜡烛燃烧产生的颗粒物在经过一段时间历程后,粒径谱会发生较大的变化,纳米级颗粒物逐渐消失,颗粒物的粒径有所增大.蜡烛在稳定燃烧环境下产生的亚微米颗粒物的数量排放因子为4.05×1012±0.73×1012个·g-1,在非稳定燃烧下的排放因子为1.49×1012±0.32×1012个·g-1.     

Effects of long-term amendment of organic manure and nitrogen fertilizer on nitrous oxide emission in a sandy loam soil

To understand the effects of long-term amendment of organic manure and N fertilizer on N2O emission in the North China Plain, a laboratory incubation at different temperatures and soil moistures were carried out using soils treated with organic manure （OM）, half organic manure plus half fertilizer N （HOM）, fertilizer NPK （NPK）, fertilizer NP （NP）, fertilizer NK （NK）, fertilizer PK （NK） and control （CK） since 1989. Cumulative N2O emission in OM soil during the 17 d incubation period was slightly higher than in NPK soil under optimum nitrification conditions （25℃ and 60% water-filled pore space, WFPS）, but more than twice under the optimum denitrification conditions （35℃ and 90% WFPS）. N2O produced by denitrification was 2.1-2.3 times greater than that by nitrification in OM and HOM soils, but only 1.5 times greater in NPK and NP soils. These results implied that the long-term amendment of organic manure could significantly increase the N2O emission via denitrification in OM soil as compared to NPK soil. This is quite different from field measurement between OM soil and NPK soil. Substantial inhibition of the formation of anaerobic environment for denitrification in field might result in no marked difference in N2O emission between OM and NPK soils. This is due in part to more rapid oxygen diffusion in coarse textured soils than consumption by aerobic microbes until WFPS was 75% and to low easily decomposed organic C of organic manure. This finding suggested that addition of organic manure in the tested sandy loam might be a good management option since it seldom caused a burst of N2O emission but sequestered atmospheric C and maintained efficiently applied N in soil.     

Artificial neural network model for identifying taxi gross emitter from remote sensing data of vehicle emission

Vehicle emission has been the major source of air pollution in urban areas in the past two decades. This article proposes an artificial neural network model for identifying the taxi gross emitters based on the remote sensing data. After carrying out the field test in Guangzhou and analyzing various factors from the emission data, the artificial neural network modeling was proved to be an advisable method of identifying the gross emitters. On the basis of the principal component analysis and the selection of algorithm and architecture, the Back-Propagation neural network model with 8-17-1 architecture was established as the optimal approach for this purpose. It gave a percentage of hits of 93%. Our previous research result and the result from aggression analysis were compared, and they provided respectively the percentage of hits of 81.63% and 75%. This comparison demonstrates the potentiality and validity of the proposed method in the identification of taxi gross emitters.