基于城镇化的居民生活能源消费碳排放门限效应分析

正确认识城镇化发展中碳减排的阶段性特征和应对我国城镇化进程中的碳排放挑战,具有重要的理论参考价值和现实指导意义。现有研究较少关注城镇化发展对居民生活能源消费碳排放的影响,未能将城镇化自身阶段性变化对生活碳排放的影响联系起来。基于此,本文以城镇化率作为门限变量,以生活能源结构、居民消费率、产业结构分别作为解释变量,构建多个不同视角的门限-STIRPAT扩展模型,深入分析城镇化水平处于不同阶段时,居民生活能源消费碳排放所受影响的差异性。研究表明,城市化率分别处于门限值(0.250、0.325和0.457)前后时,居民生活能源消费碳排放所受影响出现了阶段性的变化。当城镇化率低于0.250时,能源结构、居民消费率和产业结构对居民生活能源消费碳排放均呈负向弹性关系,分别为-0.688、-0.570、-0.570;当城市化率低于0.457时,能源结构、居民消费率和产业结构对居民生活能源消费碳排放的负向弹性关系仍然存在,但相关关系明显减弱,能源结构负向弹性关系介于(-0.338,-0.019),居民消费率和产业结构负向弹性关系为-0.251。当城市化率超过0.457时,能源结构、居民消费率和产业结构对居民生活能源消费碳排放已逐步显现或转变为正向弹性关系。基于上述研究结果提出相应建议:区域城镇化发展介于(0.250,0.457]这一阶段的进程中,应把握住能源结构、居民消费率和产业结构对居民生活能源消费碳排放影响效应转变之前的阶段,鼓励居民生活消费,但进行节能低碳生活方式的引导,大力发展第三产业,满足居民对生活商品及服务的需求。当区域城镇化提升至0.457以上时,应合理优化能源结构,提高非化石能源比重,通过财政政策等对居民生活消费进行调控和引导,注重第三产业中的科技、金融等技术密集型的行业发展。     

Public Nutrition from an Approach to a Discipline: Concern's Nutrition Case Studies in Complex Emergencies

The Public Nutrition approach, like that of Public Health, is context specific. It places an emphasis on populations rather than individuals and is inter-disciplinary in nature. Both approaches seek to understand the complex aetiology of a clinical outcome such as malnutrition within the widest possible framework. Public Nutrition uses the UNICEF conceptual framework and adapts and expands it. The authors of this article argue – through the examination of a number of case studies taken from the work of Concern Worldwide (hereafter referred to as Concern) in southern Sudan, Rwanda, Angola, Tanzania and DRC – that there are two critical constituents of the Public Nutrition approach. These are: a contextual analysis (including the use of surveillance information for programme design and advocacy) and community involvement at all stages of the project cycle. Some of the key obstacles to the adoption of the Public Nutrition approach are identified by illustrating two practical programme settings. For the Public Nutrition approach to be more widely used, the authors recommend a number of key strategies including the further dissemination of case studies and the clarification of the scope and boundaries of the approach. These strategies will enable Public Nutrition to evolve both as a practical programme framework as well as an academic discipline.     

合肥市城市生活垃圾日月变化比较分析

通过对合肥市生活垃圾日、月产出量数据的比较分析,总结出合肥市生活垃圾月、年的变化趋势。城市生活垃圾在人口密集区明显要比人口稀疏区产出量大;根据温度变化在夏天比在冬天要多出很多;而在相同环境下商业消费的频繁与否也很大程度地影响生活垃圾产出量的多少,例如中国春节期间的生活垃圾产出量明显少于同月其他日子。结合合肥市的地理、人文等情况得出城市生活垃圾产出量的主要影响因素为:城市人口、经济水平和人均消费水平。人口基数大、增长快导致生活垃圾的巨增,大大加重了垃圾治理的负担。经济水平发展速度过快也使得垃圾的产生量和处理量不能相平衡,加速了环境的恶化。     

北京市生活垃圾产生量的预测研究

分析了影响北京市城市生活垃圾产生量的因素,采用多元回归分析方法建立了城市生活垃圾年产生量的预测模型.并采用该模型,对2013-2015年北京市城市生活垃圾年产生量进行了预测.结果表明,未来2年北京市城市生活垃圾产生量呈缓慢上升趋势,预计到2015年北京市城市生活垃圾产生量将达到662.4t.     

城市生活垃圾单流程回收模式及其应用

为了探索城市生活垃圾回收及资源化利用切合实际、行之有效的运作模式,以成都市四个居民小区作为生活垃圾单流程回收模式试点,分析了单流程回收模式的实施方案和运行过程;试验结果表明:小区居民参与率达77.1%,回收垃圾中可利用成分达91%,其中纸类占41%、塑料类占17%、纺织物类占27%;统计计算说明:每户每月回收可利用成分达2.2kg,环境、经济和社会效益显著。     

西部山区坡地村落空间演进与农户生计改变

坡地村落是指分布在山地、丘陵坡面上的村庄,广泛分布于我国的山区聚落中,是我国乡村聚落的重要类型。西部山区是坡地村落分布的主要地区,"十二五"期间随着主体功能区规划的实施,不仅会影响坡地村落的空间重组和人口迁移,也会影响到坡地村落的农户生计和山区区域发展问题。论文以坡地村落空间演进和农户流动为切入口,借助黄土高原和西南山地典型地区的分析,运用GIS和大比例尺地形图分析了坡地村落空间集中和分散的基本特征。通过实地考察和问卷分析,剖析了村落空间演进和人口流动过程中农户耕地资产、收入、基本生活方式等主要生计的改变。结论认为,以减缓生态环境压力、调和人地矛盾和扭转经济贫困为最初目标的人口迁移,总体来说,有着显著的正效应,主要表现在退耕使生态用地比重得到提高、劳动力收入渠道拓宽、基础设施和社会公共服务得到显著改善等方面。     

Incorporating detectability of threatened species into environmental impact assessment

Environmental impact assessment (EIA) is a key mechanism for protecting threatened plant and animal species. Many species are not perfectly detectable and, even when present, may remain undetected during EIA surveys, increasing the risk of site‐level loss or extinction of species. Numerous methods now exist for estimating detectability of plants and animals. Despite this, regulations concerning survey protocol and effort during EIAs fail to adequately address issues of detectability. Probability of detection is intrinsically linked to survey effort; thus, minimum survey effort requirements are a useful way to address the risks of false absences. We utilized 2 methods for determining appropriate survey effort requirements during EIA surveys. One method determined the survey effort required to achieve a probability of detection of 0.95 when the species is present. The second method estimated the survey effort required to either detect the species or reduce the probability of presence to 0.05. We applied these methods to Pimelea spinscens subsp. spinescens, a critically endangered grassland plant species in Melbourne, Australia. We detected P. spinescens in only half of the surveys undertaken at sites where it was known to exist. Estimates of the survey effort required to detect the species or demonstrate its absence with any confidence were much higher than the effort traditionally invested in EIA surveys for this species. We argue that minimum survey requirements be established for all species listed under threatened species legislation and hope that our findings will provide an impetus for collecting, compiling, and synthesizing quantitative detectability estimates for a broad range of plant and animal species. Incorporación de la Capacidad de Detectar una Especie Amenazada a la Evaluación de Impacto Ambiental     

采用模糊数学法对城市生活垃圾处理方法进行综合评价

采用模糊数学法的理论和方法对城市生活垃圾处理方法进行综合评价。     

A Bayesian hierarchical model for monitoring harbor seal changes in Prince William Sound, Alaska

Bayesian hierarchical models were used to assess trends of harbor seals, Phoca vitulina richardsi, in Prince William Sound, Alaska, following the 1989 Exxon Valdez oil spill. Data consisted of 4–10 replicate observations per year at 25 sites over 10 years. We had multiple objectives, including estimating the effects of covariates on seal counts, and estimating trend and abundance, both per site and overall. We considered a Bayesian hierarchical model to meet our objectives. The model consists of a Poisson regression model for each site. For each observation the logarithm of the mean of the Poisson distribution was a linear model with the following factors: (1) intercept for each site and year, (2) time of year, (3) time of day, (4) time relative to low tide, and (5) tide height. The intercept for each site was then given a linear trend model for year. As part of the hierarchical model, parameters for each site were given a prior distribution to summarize overall effects. Results showed that at most sites, (1) trend is down; counts decreased yearly, (2) counts decrease throughout August, (3) counts decrease throughout the day, (4) counts are at a maximum very near to low tide, and (5) counts decrease as the height of the low tide increases; however, there was considerable variation among sites. To get overall trend we used a weighted average of the trend at each site, where the weights depended on the overall abundance of a site. Results indicate a 3.3% decrease per year over the time period.     

Indoor and outdoor household dust contamination in Cincinnati, Ohio, USA

Despite some progress in reducing the average lead level in the USA, the streets of Cincinnati, Ohio, are still contaminated by heavy metals. High levels of heavy metals will have significant unequivocal ecological impacts and pose a potential health hazard. This study evaluates the level of heavy- metal contamination in household dust and examines its relationships with the external environment. Samples of outdoor and indoor dust were collected from middle-income residential homes in the Greater Cincinnati Metropolitan District and the metal content was analysed by inductively coupled plasma atomic emission spectrophotometry. Results showed that the mean levels of lead in outdoor and indoor dusts are 650 g g-1 and 377 g g-1 and the copper levels are 253 g g-1 and 510 g g-1, respectively. The median levels are 156 g g-1 and 139 g g-1 for outdoor and indoor lead dusts and 35 g g-1 and 124 g g-1 for outdoor and indoor copper dusts. The degree of contamination may be ascribable to the age of the dwelling unit and the neighbourhood, the time when the unit was last painted, the presence of pets and the type of space heating. In addition, car exhausts seems to be a possible source of contamination.