碳排放交易制度下城市减排的机会成本研究——基于中国碳排放试点城市的实证检验

作为全球气候治理的重要手段,碳排放交易制度受到了广泛的关注与讨论。基于此,本文采用我国2010-2016年城市面板数据,运用非参数方法构建方向性环境距离函数测算了2009-2015年城市减排的机会成本,计算结果显示,试点地区与非试点地区的碳排放的机会成本整体表现为上升的趋势,且试点地区的碳排放的机会成本总体低于非试点地区。在测算城市减排机会成本的基础上,运用双重差分法来检验碳排放交易制度的有效性。经检验发现：碳排放交易制度有利于降低城市减排的机会成本,然而由于碳排放交易制度还存在碳排放权初始分配制度缺失、碳排放交易制度的定价机制扭曲等问题,因此其对降低城市减排的机会成本作用较小,并且进一步通过对政策时间趋势的分析得出政策效应随时间推移而逐渐减弱。     

浅谈黑龙江及乌苏里江流域废水中污染物排放特征

以跨界流域黑龙江和乌苏里江为研究对象,通过合理的流域断面设置,对流域废水中的污染物及农药残留进行分析测定,通过监测结果为以后的污染防治提供依据。     

农村沼气在北方农业源减排中的应用浅析

农村沼气作为一种特殊的清洁能源,在沈阳市农村节能减排、应对气候变化和发展低碳经济、促进新农村建设方面发挥了巨大的作用。本文通过对沼气工程在北方地区应用的阐述,力图推动北方农村沼气在农业源减排工作中的应用。     

Toward sustainable use of natural resources: Nexus between resource rents,affluence, energy intensity and carbon emissions in developing and transition economies

Sustainable use of natural resources would entail ensuring that derived economic benefits today do not undermine the welfare of generations to come. On this basis, this study examines the nexus between natural resource rents and carbon dioxide (CO₂) emissions disaggregated into production and consumption-based (i.e., trade-adjusted) CO₂ emissions for a selected panel of 45 developing and transition economies over the period 1995–2017. The empirical model also incorporates the impacts of population, affluence, and energy intensity. The results show that affluence increases production-based CO₂ emissions by 1.407%, with the EKC's predicted inverted U-shaped curve only explaining consumption-based CO₂ emissions. Economic reliance on natural resource rents and energy intensification contribute 0.022% and 0.766%, respectively, to CO₂ emissions embedded in territorial production inventories and 0.035% and 0.583%, respectively, to CO₂ emissions embedded in consumption inventories. The bootstrap non-causality test shows that historical data on each variable has significant predictive power for future CO₂ emissions from both sources. The historical information about natural resource rents has significant predictive power over the future levels of affluence and energy intensity. Clearly, the results show that the environmental impact of natural resource rents is stronger when CO₂ emissions are adjusted for trade and varies among the countries, with Bangladesh, Guinea, India, Malaysia, Mexico, Nigeria, Pakistan, Saudi Arabia, Vietnam, and Zimbabwe among the most affected countries. Overall, this study provides motivation for policies to keep the use of natural resources within sustainable limits.     

交通领域减污降碳协同控制研究回顾及展望

交通运输行业是二氧化碳和空气污染物排放的主要贡献者之一,开展交通领域的减污降碳协同控制政策是实现“双碳”目标和空气污染防治的迫切需要。本研究追溯了交通领域减污降碳协同控制的起源及发展,回顾了交通领域协同减污降碳的主要路径,具体包括交通基础信息协同、交通排放清单编制协同、交通减排目标设定与减排情景分析协同、交通减排技术及措施工具箱协同,以及交通减排保障措施协同。然后,从研究范围、研究方法、协同度评价体系构建、污染相关健康协同效应、研究区域等方面对交通领域减污降碳协同控制的研究实践及特点进行了分析,并相应提出了对未来研究的展望。     

燃煤电厂烟尘超低排放技术措施研究

针对越来越严格的环保要求,介绍了原有的除尘技术,并对除尘器新技术改造方案进行了说明,其中重点对电袋复合代替静电除尘技术、在静电除尘器中增置旋转电极、更改工频电源为高频电源、在电除尘器前加装低温换热器、脱硫后增加湿式电除尘器技术等方案进行比较分析。为了达到超低排放要求,对不同的烟尘超低排放实践工艺进行了说明,并结合东部沿海地区可再生能源发展空间有限的实际情况,提出加快推广超低排放技术在现有燃煤电厂的应用,实现传统煤电产业和环保产业的转型升级。     

运用灰色GM（1,1）系统模型预测北京市污水排放量

北京市水资源开发利用已经超过了水资源承载能力范围,由此引发的水资源短缺问题日益严重.对污水的综合利用进行研究可以达到持续利用水资源的目的,解决水资源短缺问题.以北京市2005-2012年污水排放量资料为基础,运用灰色系统模型,对工业、生活污水排放量及总污水排放量进行了预测,分析北京市污水排放量走势及存在的问题,提出未来北京市污水综合利用的对策措施.     

A2/O+MBR工艺运行效果与碳排放特征研究

对北京市通州区H再生水厂采用的A²/O+MBR工艺运行效果与不同环节碳排放特征进行研究.结果表明：2018年该再生水厂对BOD₅,COD_cr,NH₄⁺-N,TN和TP的平均去除率分别为97.3%,94.1%,98.6%,77.0%,96.2%;全厂碳排放总量和吨水碳排放量呈春夏季节逐渐降低,秋冬季节缓慢升高的特征,全厂综合吨水碳排放量约为2.26kgCO₂e/t.碳排放总量中能耗碳排放量占主要地位,CH₄,N₂O和物耗碳排放量占比较小;统计分析显示CH₄,能耗和物耗吨水碳排放量与BOD₅,TN进水浓度及BOD₅去除率显著相关;N₂O吨水碳排放量与TN与BOD₅进水浓度显著相关;直接,间接吨水碳排放量与水量无显著相关性.     

Examining municipal response to a provincial climate action planning mandate in British Columbia,Canada

The engagement of UK local authorities is vital if national government is to meet its climate change commitments. However, with no mandatory targets at local government level, other drivers must explain engagement. Using a Geographic Information System, this study compares the spatial distribution of action on climate change based on past actions and stated intentions to a suite of relevant independent variables. The Action Index created is among the first to quantify climate change engagement beyond a simple binary measure and provides a useful comparative study to recent work in the USA. The Index enables investigation of both mitigation and adaptation, which show different trends in relation to some variables. The study shows that action is strongest where the voting habits of the local population suggest environmental concern and where neighbouring local authorities are also engaging in action on climate change. Physical vulnerability to the effects of climate change is a motivator for action only where the dangers are obvious. Action is less likely where other resource-intensive issues such as crime and housing exist within a local authority area.     

Comprehensive and high-resolution emission inventory of atmospheric pollutants for the northernmost cities agglomeration of Harbin-Changchun, China: Implications for local atmospheric environment management

Using a bottom-up estimation method, a comprehensive, high-resolution emission inventory of gaseous and particulate atmospheric pollutants for multiple anthropogenic sectors with typical local sources has been developed for the Harbin-Changchun city agglomeration (HCA). The annual emissions for CO, NOx, SO₂, NH₃, VOC_S, PM_2.5, PM₁₀, BC and OC during 2017 in the HCA were estimated to be 5.82 Tg, 0.70 Tg, 0.34 Tg, 0.75 Tg, 0.81Tg, 0.67 Tg, 1.59 Tg, 0.12 Tg and 0.26 Tg, respectively. For PM₁₀ and SO₂, the emissions from industry processes were the dominant contributors representing 54.7% and 49.5%, respectively, of the total emissions, while 95.3% and 44.5% of the total NH₃ and NOx emissions, respectively, were from or associated with agricultural activities and transportation. Spatiotemporal distributions showed that most emissions (except NH₃) occurred in November to March and were concentrated in the central cities of Changchun and Harbin and the surrounding cities. Open burning of straw made an important contribution to PM_2.5 in the central regions of the northeastern plain during autumn and spring, while domestic coal combustion for heating purposes was significant with respect to SO₂ and PM_2.5 emissions during autumn and winter. Furthermore, based on Principal Component Analysis and Multivariable Linear Regression model, air temperature, relative humidity, electricity and energy consumption, and the urban and rural population were optimized to be representative indicators for rapidly assessing the magnitude of regional atmospheric pollutants in the HCA. Such indicators and equations were demonstrated to be useful for local atmospheric environment management.