Emissions from burning biofuels in metal cookstoves

Promoting stoves that burn wood and other biofuels more efficiently is one of the means to reduce fuel consumption, but such efficient stoves may also emit more carbon monoxide and total suspended particulates. In an earlier study, a standard chamber method was proposed to estimate emission factors from burning fuelwood (Acacia nilotica). Here that methodology is extended to measure emission factors from burning of dungcakes and crop residues (Brassica or mustard stalks)—common fuels in many developing countries. The amounts of carbon monoxide (CO) and total suspended particulates (TSP) emitted by four different models of stoves, when using each of the three biofuels, are measured.The CO emission factors range from 13–68 (g/kg) for fuelwood to 26–67 g/kg for dungcakes and 20–114 g/kg for crop residues, for particulates they range from 1.1–3.8 to 4.1–7.8 and 2.1–12.0 g/kg for the three fuels, respectively. On a per unit heat delivered basis, the emissions of CO and TSP from both dungcakes and crop residues are two to three times higher compared to those from fuelwood. While for some improved stove-fuel combinations, the increase in emission factors was offset by the increase in thermal efficiency, this was not always so and causes a dilemma. The more efficient stoves are found to have higher emission factors of both CO and TSP for all three fuels. Emissions per standard task (i.e, on a unit heat delivered basis) is proposed as a criterion to evaluate cookstoves.     

Health risks of residential wood heat

The resurgence in the use of wood in the United States for residential heating has been accompanied by a dramatic increase in deaths and injuries from residential fires. Toxic materials present in woodsmoke also appear to present a significant public health hazard. As a result of these factors, production of residential wood heat can be up to two orders of magnitude more hazardous than generation of an equivalent amount of electric energy at a coal-fired power plant. Proper care in installation and operation of wood stoves, as well as technological innovations that control wood-stove emissions, can greatly reduce the health and safety hazards of residential heating with wood.     

Evaluation of leachate composition by multivariate data analysis (MVDA)

Landfills generate emissions in the form of gas and leachate. The emissions are often measured within monitoring programmes. It is likely that the requirements of such monitoring programmes can be extended in the future, particularly in light of the increased interest in specific organic substances. Multivariate data analyses (MVDA) have been used to evaluate the possibility of predicting the content of specific organic substances from more common analyses. The results indicate that this is possible for a specific leachate. MVDA can also be used to reduce the number of analyses performed within existing monitoring programmes while retaining information about all the variables formerly included in the programmes.     

POST-GRADUATE TRAINING AND RESEARCH IN APPLIED SCIENCE IN DEVELOPING COUNTRIES: THE CASE OF MINERAL EXPLORATION

If a developing country decides to devote scarce human and material resources to post-graduate training and research in an applied science - based on a realistic assessment that the potential benefits from such an investment are likely to exceed the benefits from alternative investments - several approaches exist. The authors examine these alternatives as they apply to mineral exploration. They argue that if recourse is made to overseas training, programmes should be restricted by aid agencies to universities that will provide applied research subjects in the trainees' own countries. 'Twinning' arrangements between institutions in developing and developed countries may be useful if faculty in the developed country university are interested in and available for overseas work and if university administrations are aware of potential problems. The authors also discuss the provision of short-term non-academic fellowships in applied research, an approach which has not been used to extent it deserves.     

Voluntary urban climate programmes: should city governments be involved and,if so,how?

It has been proposed that voluntary urban climate programmes overcome shortfalls in mandatory, top-down, state-led government interventions to address climate change risks. Such programmes seek commitments from households and firms to improve their environmental sustainability, but do not have the force of law. City governments are actively developing and implementing such programmes, seeking improved and accelerated urban climate action. There is little evidence, however, of whether their involvement positively affects voluntary programme performance. This article presents qualitative comparative analysis (QCA) of 26 voluntary programmes from Australia, the Netherlands and the US, seeking to understand whether, and if so how, city governments affect the performance of voluntary urban climate programmes. The results will help to inform city governments about the roles they may play in urban climate governance.     

Making cities resilient to climate change: identifying “win–win” interventions

Urbanisation is truly a global phenomenon. Starting at 39% in 1980, the urbanisation level rose to 52% in 2011. Ongoing rapid urbanisation has led to increase in urban greenhouse gas (GHG) emissions. Urban climate change risks have also increased with increase in climate-induced extreme weather events and more low-income urban dwellers living in climate sensitive locations. Despite increased emissions, including GHGs and heightened climate change vulnerability, climate mitigation and adaptation actions are rare in the cities of developing countries. Cities are overwhelmed with worsening congestion, air pollution, crime, waste management, and unemployment problems. Lack of resources and capacity constraints are other factors that discourage cities from embarking on climate change mitigation and adaptation pathways. Given the multitude of problems faced, there is simply no appetite for stand-alone urban climate change mitigation and adaptation policies and programmes. Urban mitigation and adaptation goals will have to be achieved as co-benefits of interventions targeted at solving pressing urban problems and challenges. The paper identifies administratively simple urban interventions that can help cities solve some of their pressing service delivery and urban environmental problems, while simultaneously mitigating rising urban GHG emissions and vulnerability to climate change.     

空气污染物的时空演化及社会经济驱动因素研究——以长江三角洲地区为例

本文以2006—2015年长江三角洲城市群为研究对象,分析该地区不同部门因能源消费而产生的典型污染物排放量,然后利用LMDI模型,对空气污染进行社会经济驱动因素分析。结果表明:该地区CO_2、SO_2、PM_(2.5)与PM_(10)等空气污染物排放量均呈现先快速增长后缓慢减少的趋势,排放的峰值多出现在了2013年,而NO_x则一直保持增长的趋势。其中,电力与工业部门是空气污染物的主要排放源,但对排放量贡献呈减少趋势,生活部门与交通部门污染物排放量则逐步增长,尤其是对PM_(2.5)与PM_(10)排放量的贡献不可忽视。人口与经济增长对污染物排放量起到了正向拉动作用,经济因素的驱动作用最为明显,其效应值呈现先小幅增加后大幅下降的趋势,能源效率与能源结构有抑制作用,其对污染物排放的效应值仅次于经济因素,而能源结构变化的效应很小。     

Methane fluxes from artificial wetlands: A global appraisal

Methane emissions make an important contribution to the enhanced greenhouse effect, emissions from rice growing being one of its major anthropogenic sources. The estimation of global fluxes of methane from rice and from coarse fiber production depends on extrapolating observed data across countries and agroclimatic zones: the estimates are therefore imprecise. We present a revised estimate of global emissions of 96 Tg CH₄/yr, given 1991 rice areas, and 1991 production data for those tropical coarse fibers that also produce methane under anaerobic conditions. This is higher than many previous studies, which systematically underestimated the fluxes from tropical countries. As the world's population increases, the demand for rice will rise. This demand can only be satisfied through greater rice production, either by bringing new areas into rice growing or by using the present area more intensively. Strategies based on improved water management and fertilizer use will allow increased rice production and yields and reduce the methane flux per unit or rice production.     

Camel culling and carbon emissions in rangelands in central Australia

Culling feral camels will impact on the carbon emissions from them. Culling of feral camels stops their long-term continuous methane emission, but emits carbon from their carcasses in the short term. Through on-site monitoring of the decomposition process of camels that have been shot dead, this paper models the pattern of carbon emissions during the decomposition of these camels in Central Australia, and analyses the contribution of the camel culling programme to carbon emission mitigation on the rangelands. A ‘carbon royalty’ payment mechanism is also suggested to encourage local participation in carbon markets through an involvement in natural resource management.     

Analysis of the impact of tourism on agricultural carbon emissions-based on the mediating effect of nonagricultural transfer of labor in China

How to control the growth of agricultural carbon emissions while developing tourism has become the primary issue that needs addressing in the development of rural China. This paper explores the impact of tourism on agricultural carbon emissions and further analyses the mediating effect of labor transfer in this relationship. The analysis is evaluated using provincial panel data from 31 provinces in China from 2007 to 2019 with a sequential regression model. The results show that tourism development increases agricultural carbon emissions, which is more pronounced in areas with advanced economies or higher education levels. Second, labor transfer to nonfarming industries suppresses the increase in agricultural carbon emissions caused by tourism. Finally, (i) the impact of tourism on labor transfer in less developed and less educated regions is limited, and (ii) there is the expectation of large-scale use of agricultural machinery due to labor transfer in economically developed or highly educated areas. The heterogeneity test shows these two reasons lead to a mediating effect of labor transfer on agricultural carbon emissions in different regions.     

基于LMDI模型的乌鲁木齐工业废气排放影响因素研究

本文运用对数平均的LMDI 分解模型,选取工业SO₂、工业烟(粉)尘排放量作为污染物指标,将2006—2013 年,乌鲁木齐工业废气排放量影响因素分解为规模效应、结构效应、技术效应,考虑到技术效应机制的复杂性,进一步将技术效应细化为污染治理效应和清洁技术效应。研究结果表明:规模效应和结构效应增加乌鲁木齐工业废气排放,其中规模效应对工业废气排放量贡献率由2007 年的119.10%增加到2013 年的263.03%,结构效应对工业废气排放量的增加也起到一定的促进作用,但影响效果远低于规模效应,年贡献率均低于10%,技术效应阻碍工业废气排放的增加,贡献率由2007 年的-19.86%增加到2013 年的-172.50%。制造业和电力、燃气及水的生产和供应业废气排放量占工业废气排放总量的70% 左右,是乌鲁木齐工业废气污染的主要行业。清洁技术效应对SO₂ 的减排起促进作用,是阻碍工业SO₂ 排放量增加的主要因素。污染治理效应是工业烟(粉)尘的减排主要因素,说明目前乌鲁木齐工业烟(粉)尘的减排依赖于排放后的治理。     

Direct and indirect land-use change as prospective climate change indicators for peri-urban development transitions

With urban areas responsible for a significant share of total anthropogenic emissions, greenhouse gas (GHG) emissions due to land-use change (LUC) induced by peri-urban (PU) development have the potential to be considerable. Despite this, there is little research into the transition from PU cropland to housing in terms of contribution to global warming. This paper presents a cross-sectoral integrative method for prospective climate change evaluation of PU LUC. Specifically, direct LUC (dLUC) GHG emissions from converting PU cropland to greenfield housing were examined. Additionally, GHG emissions due to displaced crop production inducing indirect LUC (iLUC) elsewhere were assessed. GHG impacts of dLUC and iLUC were each determined to be approximately 8 per cent of total GHG emissions due to a greenfield housing development displacing PU cropland. This magnitude of dLUC and iLUC emissions suggests that both have importance in future land-use decision making with respect to PU environments.     

Life cycle climate impacts of the US concrete pavement network

Life cycle assessment (LCA) offers a comprehensive approach to evaluate and improve the environmental impacts of pavements. First, a general pavement LCA methodology is created that describes the concepts necessary to conduct a comprehensive pavement LCA. Second, the methodology is applied to the life cycle of concrete pavements to quantify current emissions across the road network. System boundaries are drawn to include all phases of the pavement life cycle – materials production, construction, use, maintenance, and end of life. Greenhouse gas emissions are quantified for twelve functional units, which evaluate average conditions for each major roadway classification in the United States. The results present the relative contribution of each component in the life cycle, the annual emissions occurring during the 40-year analysis period, and the sensitivity of these results to model parameters. It is found for all roads that the majority of emissions occur in year one – from cradle-to-gate materials production, and pavement construction – primarily due to cement production. The results are most sensitive to traffic volume, and then to parameters affecting the cement production. Based on emissions and their sensitivity, the LCA results suggest three broad reduction approaches: reducing embodied emissions, reducing use phase emissions, and reducing end-of-life emissions.     

京津冀地区典型城市地表水质污染类型划分及驱动力研究

根据京津冀地区典型城市水环境污染的主要来源,选取工业COD排放量,工业氨氮排放量、工业废水排放量、生活COD排放量、生活氨氮排放量、生活污水排放量共6项指标,对区域经济发展水平与水污染物排放之间的关系进行研究。基于经济发展水平和污染排放特征,利用系统聚类法划分城市类型,利用回归分析研究污染排放指标对GDP的贡献。结果表明:京津冀地区废水及主要污染物排放特征存在明显的行政区划差异性:A类城市中,生活污染源已超越工业污染源成为该地区水污染物排放的重中之重;B类城市和C类城市污染控制重点仍需放在工业污染源减排上。经过多年努力,主要工业污染物排放量已得到了有效的控制,生活污水排放量已成为京津冀地区不容忽视的减排对象。今后,应在此基础上针对不同行政区划内的污染排放特征,加强政策的针对性。     

Impact of Human Activities on Carbon Dioxide (CO<Subscript>2</Subscript>) Emissions: A Statistical Analysis

Summary The balance of evidence suggests a perceptible human influence on global ecosystems. Human activities are affecting the global ecosystem, some directly and some indirectly. If researchers could clarify the extent to which specific human activities affect global ecosystems, they would be in a much better position to suggest strategies for mitigating against the worst disturbances. Sophisticated statistical analysis can help in interpreting the influence of specific human activities on global ecosystems more carefully. This study aims at identifying significant or influential human activities (i.e. factors) on CO₂ emissions using statistical analyses. The study was conducted for two cases: (i) developed countries and (ii) developing countries. In developed countries, this study identified three influential human activities for CO₂ emissions: (i) combustion of fossil fuels, (ii) population pressure on natural and terrestrial ecosystems, and (iii) land use change. In developing countries, the significant human activities causing an upsurge of CO₂ emissions are: (i) combustion of fossil fuels, (ii) terrestrial ecosystem strength and (iii) land use change. Among these factors, combustion of fossil fuels is the most influential human activity for CO₂ emissions both in developed and developing countries. Regression analysis based on the factor scores indicated that combustion of fossil fuels has significant positive influence on CO₂ emissions in both developed and developing countries. Terrestrial ecosystem strength has a significant negative influence on CO₂ emissions. Land use change and CO₂ emissions are positively related, although regression analysis showed that the influence of land use change on CO₂ emissions was still insignificant. It is anticipated, from the findings of this study, that CO₂ emissions can be reduced by reducing fossil-fuel consumption and switching to alternative energy sources, preserving exiting forests, planting trees on abandoned and degraded forest lands, or by planting trees by social/agroforestry on agricultural lands.     

Universities and Climate Change Mitigation: Advancing Grassroots Climate Policy in the US

While US climate change mitigation policy has stalled at the national level, local and regional actors are increasingly taking progressive steps to reduce their greenhouse gas emissions. Universities are poised to play a key role in this grassroots effort by targeting their own emissions and by working with other local actors to develop climate change mitigation programmes. Researchers at the Pennsylvania State University have collaborated with university administrators and personnel to inventory campus emissions and develop mitigation strategies. In addition, they have facilitated a stakeholder-driven climate change mitigation project in one Pennsylvania county and started an ongoing service-learning project aimed at reducing emissions in another county. These campus and community outreach initiatives demonstrate that university-based mitigation action may simultaneously achieve tangible local benefits and develop solutions to broader challenges facing local climate change mitigation efforts. Outcomes include improved tools and protocols for measuring and reducing local emissions, lessons learned about service-learning approaches to climate change mitigation, and methods for creating climate change governance networks involving universities, local governments and community stakeholders.     

Energy indicators and sustainable development: The International Energy Agency approach

The International Energy Agency (IEA), together with the International Atomic Energy Agency (IAEA), UN‐DESA, Eurostat and the European Environmental Agency, has recently published a comprehensive joint‐agency overview of energy indicators for sustainable development. The IEA's contribution to this publication is based on the IEA energy indicator approach. This approach has been developed and used by the IEA over a number of years. The indicators advocated by the IEA are relatively disaggregated to allow for meaningful analysis of sustainability issues in the energy sector. Using a decomposition approach helps reveal the causal links between human/economic driving forces, energy use and emissions. This article presents examples of IEA's work with indicators and an overview of the methodology used, including an explanation of the link to sustainable development. It also provides an example of a simplified indicator analysis of India, to illustrate the importance of improved data systems in developing indicators that can provide meaningful policy analysis.     

Universities and Climate Change Mitigation: Advancing Grassroots Climate Policy in the US

Abstract

While US climate change mitigation policy has stalled at the national level, local and regional actors are increasingly taking progressive steps to reduce their greenhouse gas emissions. Universities are poised to play a key role in this grassroots effort by targeting their own emissions and by working with other local actors to develop climate change mitigation programmes. Researchers at the Pennsylvania State University have collaborated with university administrators and personnel to inventory campus emissions and develop mitigation strategies. In addition, they have facilitated a stakeholder-driven climate change mitigation project in one Pennsylvania county and started an ongoing service-learning project aimed at reducing emissions in another county. These campus and community outreach initiatives demonstrate that university-based mitigation action may simultaneously achieve tangible local benefits and develop solutions to broader challenges facing local climate change mitigation efforts. Outcomes include improved tools and protocols for measuring and reducing local emissions, lessons learned about service-learning approaches to climate change mitigation, and methods for creating climate change governance networks involving universities, local governments and community stakeholders.     

碳排放与经济增长关系及驱动因素分析——以西北地区为例

选取2000--2010年我国西北地区（陕西、甘肃、青海、宁夏、新疆）5个省区能源消费数据和经济数据作为样本数据,根据IPCC碳排放计算指南,测算出西北各地区的碳排放量;采用脱钩理论对西北地区碳排放与经济增长脱钩状态进行分析,运用LMDI分解方法构建碳排放因素分解模型深入研究其驱动因素.研究结论显示,2001-2010年西北地区经济增长与碳排放的脱钩状态趋于不稳定状态,其中2002年、2004年为强脱钩,2001年、2007年、2009年、2010年为弱脱钩,2003年、2005年、2008年为扩展性负脱钩,2006年为增长连接;经济规模持续扩大是西北地区碳排放快速增长的关键因素,能源强度下降是抑制西北地区碳排放增长的主要因素,产业结构优化升级和能源结构调整是控制碳排放增加的潜在因素.     

Analysis of cooking energy in developing countries

Cooking is the major energy end use in most developing countries. A general model to calculate energy-use cost for cooking with 15 combinations of fuel and end use device based on prevailing market conditions is proposed by this paper. The model has been implemented to develop an independent computer software which ranks the combinations on the basis of least cost. The model reflects cooking energy consumption patterns in urban Nepal, where it was tested. The results suggest that biomass energy used in efficient stoves is the most attractive option for cooking in Nepal. Hence, a policy for effective use of biomass is necessary .