宁东基地大气PAHs污染特征及呼吸暴露风险

利用主动观测技术对宁东能源化工基地大气PM_2.5、PM_1.0和气相中的PAHs浓度水平、族谱特征、时空分布及来源进行研究,并基于该观测数据对居民呼吸暴露健康风险进行评估.结果表明,宁东基地大气PM_2.5、PM_1.0及气相中∑₁₆PAHs浓度范围分别为：17.95~325.12ng/m³、12.66~311.96ng/m³和26.33~97.88ng/m³,年均浓度分别为（99.42±117.48）ng/m³、（78.88±100.58）ng/m³和（57.89±47.39）ng/m³.宝丰基地冬夏季大气PM_2.5、PM_1.0和气相中∑₁₆PAHs浓度水平均明显高于英力特;宝丰和英力特基地冬季大气PM_2.5、PM_1.0中∑₁₆PAHs浓度水平均明显高于夏季浓度.宁东基地大气中∑₁₆PAHs的浓度水平要高于国内外其他城市,大气PAHs污染较为严重.源解析表明夏季宁东基地PAHs的主要排放源是工业煤燃烧和机动车尾气,冬季则主要来自工业煤燃烧和木材、薪柴等生物质燃烧排放.宁东基地人群暴露于大气PAHs可能会造成平均冬季每百万人中约有33~2628人罹患癌症,夏季每百万人中约有11~834人罹患癌症的风险.     

模拟酸雨对福州平原稻田土壤细菌丰度及多样性的影响

为了探讨酸雨对稻田土壤细菌的影响,以福州平原某稻田为研究对象,测定和分析模拟不同酸度酸雨处理下早、晚稻土壤细菌群落组成及其丰度.结果表明：模拟酸雨处理提高了早稻土壤细菌的多样性,但却降低了晚稻土壤细菌的多样性;酸雨改变了稻田土壤细菌的丰度及群落结构,经模拟不同酸度的酸雨处理,稻田土壤细菌的优势菌属及其丰度并不一致;早稻pH3.5处理组与早稻对照组之间的物种多样性及群落结构差异最大,晚稻pH2.5处理组与晚稻对照组之间的物种多样性及群落结构差异最大;在酸雨作用下,溶杆菌属（Lysobacter）和产黄杆菌属（Rhodanobacter）的丰度明显升高,而马赛菌属（Massilia）的丰度则显著降低,说明溶杆菌属（Lysobacter）和产黄杆菌属（Rhodanobacter）为耐受酸雨的主要菌属,马赛菌属（Massilia）则为受酸雨影响最大的菌属;细菌属H16的相对丰度与土壤电导率（EC）呈极显著负相关（P<0.01）,Lysobacter的相对丰度与土壤pH值呈极显著负相关（P<0.01）,Arenimonas的相对丰度与土壤总有机碳（SOC）呈极显著正相关（P<0.01）.     

中国水电施工行业伤亡事故的特点及宏观对策

通过对水电施工行业中近１５ 年来的重大伤亡事故资料的整理与分析，归纳出水电施工行业伤亡事故的特点，并对影响伤亡事故率的综合因素进行了分析，提出了具有一定针对性的预防对策。为认识我国水电施工行业的特征、事故特点及寻找预防措施提供了一定的依据     

Effects of the Surrounding Matrix on Tree Recruitment in Amazonian Forest Fragments

Abstract:  Little is known about how the surrounding modified matrix affects tree recruitment in fragmented forests. We contrasted effects of two different matrix types, Vismia - and Cecropia -dominated regrowth, on recruitment of pioneer tree species in forest fragments in central Amazonia. Our analyses were based on 22, 1-ha plots in seven experimental forest fragments ranging in size from 1 to 100 ha. By 13 to 17 years after fragmentation, the population density of pioneer trees was significantly higher in plots surrounded by Vismia regrowth than in plots surrounded by Cecropia regrowth, and the species composition and dominance of pioneers differed markedly between the two matrix types. Cecropia sciadophylla was the most abundant pioneer in fragments surrounded by Cecropia regrowth (constituting nearly 50% of all pioneer trees), whereas densities of species in Vismia -surrounded fragments were distributed more evenly. Thus the surrounding matrix had a strong influence on patterns of tree recruitment in Amazonian forest fragments.     

Potentially recoverable resources: How recoverable?

There are a number of factors which are likely to limit the proportion of potentially recoverable resources that will actually be recovered. The most important of these concern the way minerals are distributed within the crust and trends in energy costs associated with mineral production. This article offers a pessimistic view of the prospects for mineral supplies early in the 21st century. The resource situation is even less hopeful when the possibility of extending the material living standards of the developed countries to everyone likely to be living on earth late next century is considered.     

Land use issues in biomass energy planning

Land availability is a key consideration for evaluating the potential of biomass energy. This depends not only on how much land is physically suitable for growing the biomass crop, but also on the environmental implications of an energy farm and the extent to which land can be freed from competing uses. Energy planning should include inventories to realistically assess the amount of land potentially available for biomass production and the trade-offs involved in using such land for biomass farms.     

How developing countries can engage in GHG reduction: a case study for China

It has been clearly recognized that future global climate change will limit the possibilities for sustainable development in China. To minimize these negative effects, as a practical strategy, we suggest that the Chinese government engage in international cooperation as a key contributor in the prevention of global warming. This suggestion results from numerical estimations of China’s greenhouse gas (GHG) emission trends accompanied with economic growth up to 2100. The results show that China’s gross domestic product (GDP), measured in terms of purchasing power parity (PPP), may overtake the sum of the GDPs of the United States and Canada in 2020. It is predicted that GDP per capita may reach US$20,000 and $80,000 in 2050 and 2100, respectively; meanwhile, CO₂ emissions in China will increase from 6.6 billion tons (in carbon equivalent units) in 1990 to 54.6 billion tons in 2100. This means that the global peak concentration of GHG cannot be practically reduced without significant contributions from China. For international cooperation in mitigating global climate change, we introduce a new option, “per-capita emission restricted by assigned amount,” as an accounting rule for GHG reduction. This baseline classifies global CO₂ reduction actions into three categories: compulsory reduction, self-imposed reduction, and voluntary reduction. We suggest that China contribute to world CO₂ reduction according to the following timetable: voluntary reduction until 2012, self-imposed reduction until 2020, and compulsory reduction from 2020. The simulation results also indicate that China can benefit from this strategy in terms of improvements in its domestic economy and environment, for instance, by reducing fossil fuel consumption and the emission of pollutants.

Long-run dynamics of renewable energy consumption on carbon emissions and economic growth in the European union

This paper examines long-run and short-run dynamics of renewable energy consumption on carbon dioxide (CO₂) emissions and economic growth in the European Union. This study employs cointegration tests, Granger causality tests and vector error correction estimates to examine the direction of Granger causality, the long-run dynamics of economic growth and energy variables on carbon emissions. This study analyses time series data from the World Development Indicators over the period from1961 to 2012. The results of this study support a link between renewable energy consumption, economic growth, industrialization, exports and CO₂ emissions in the long-run and short-run. The results support that the sign of the long-run dynamics from the endogenous variables to the CO₂ emissions variable is negative and significant, which implies that the energy and environmental policies of the European Union aimed at curbing CO₂ emissions must have been effective in the long-term. Furthermore, renewable energy consumption and exports have significant negative impact on CO₂ emissions in the short-run. However, industrialization and economic growth have positive impact on CO₂ emissions in the short-run. The results suggest that both economic growth and industrialization must have been achieved at the cost of harming the environment. The finding suggests that the increasing consumption of renewable energy tends to play an important role in curbing carbon emissions in the region.     

Do energy prices affect employment? Decomposed international evidence

This paper analyzes the energy price-employment nexus and contributes to the literature by showing that it is important to decompose the regulatory effect into demand, cost, and factor-shift effects. This is done by means of a cross-country multi-sectoral dataset. The results show that both rising energy prices and shadow prices of energy have no significant effect on net employment when the manufacturing sectors only are analyzed. While finding significant variations across countries, the average employment effects become significantly positive once jobs in the economy as a whole are considered. This change is driven mainly by larger positive cost effects, which more than offset the negative demand effects and reductions in the positive factor-shift effects. Moreover, the paper reveals that the often implemented approach of using a simple regulation regressor, instead of decomposing the employment effect, can result in biased estimates.     

Temperature effects on mortality and household adaptation: Evidence from China

This paper examines the effects of extreme temperatures on mortality rates, using random year-to-year variation in temperature based on county-level panel data from China. The analysis finds a robust, U-shaped relationship between temperature and mortality rates, indicating that extremely cold or hot temperatures lead to excess deaths. The heat-related (cold-related) effect is 3.5 times (3.2 times) as large as previous findings that used U.S. data, and it is especially large for the elderly population, mainly due to excess deaths caused by cardiovascular diseases. Applying these results to climate change predictions from Hadley Centre Global Environmental Model shows that by 2061–2080 the annual mortality rate is likely to increase by 14.2% if global greenhouse gas emissions continue to rise throughout the 21st century, the estimated health cost of which is around 0.98 trillion Chinese Yuan per year. The paper also explores households’ adaptation behaviors to extreme temperatures. It finds that although urban households adaptively increase energy consumption when they are exposed to cold temperatures and purchase more air conditioners on hot and cold days, rural households are unresponsive to temperature fluctuations. This finding implies that rural people may be more resource constrained and suffer more when extreme temperatures occur.