The benefits of the Kyoto Protocol to developing countries

The Kyoto Protocol relies on incentive-based regulations layered underneath a global cap on net emissions of greenhouse gases. Within the Kyoto Protocol are opportunities and constraints for signatory nations. Of concern to developing nations are the constraints the Kyoto Protocol could place on future growth. We examine the constraints and the opportunities offered to developing countries within the Kyoto Protocol. By identifying the potential costs and benefits the Kyoto Protocol has to offer to developing countries and by examining the incentives each create, we hope to spark serious investigations into ways to minimize the potential costs of entering the Kyoto Protocol and take full advantage of the potential benefits.

氢燃料电池汽车动力系统生命周期评价及关键参数对比

发展氢燃料电池汽车被认为是解决能源安全和环境污染问题的理想解决方案之一,为量化探究氢燃料电池汽车动力系统的化石能源消耗和排放情况,运用GaBi软件建模,以新能源汽车相关技术路线为参考,构建我国氢燃料电池汽车动力系统的数据清单并对其全生命周期化石能源消耗和全球变暖潜值情况进行定量评价计算和预测分析,对不同类型的双极板、不同能量控制策略和不同制氢方式对环境的影响分别进行了对比研究,并对关键数据进行了不确定分析.结果表明,预计到2030年我国每台氢燃料电池汽车动力系统生命周期的化石能源消耗量（ADP_f）、全球变暖潜值（GWP,以CO₂ eq计）和酸化潜值（AP,以SO₂ eq计）分别为1.35×10⁵ MJ、9108 kg和15.79 kg.动力系统生产制造阶段的化石能源消耗和全球变暖潜值均高于使用阶段,主要原因是燃料电池堆栈和储氢罐的制造过程.金属双极板、石墨复合双极板和石墨双极板的制造工艺中石墨复合双极板的综合环境效益最好.能量控制策略的优化会使得氢能消耗降低,当氢能消耗降低22.8%时,动力系统的生命周期化石能源消耗和全球变暖潜值分别降低10.4%和8.3%.相比于甲烷蒸气重整制氢,基于混合电网电解水制氢的动力系统生命周期全球变暖潜值高出53.7%[KG-*6],而基于水电电解水制氢降低39.6%.降低动力系统生命周期化石能源消耗和全球变暖潜值的措施包括优化能量控制策略降低氢能消耗、规模化发展可再生能源发电电解水制氢产业和聚焦突破燃料电池堆栈关键技术实现性能提升.     

地膜覆盖对稻-油轮作农田温室气体排放的影响

以位于西南大学农业部重庆紫色土生态环境重点野外科学观测试验站内的稻-油轮作为研究对象,采用静态箱/气相色谱法,对覆膜和对照(不覆膜)处理下稻油轮作CO2、CH4和N2O排放特征进行了为期1 a的原位观测.结果表明,稻-油轮作农田CO_2、CH_4和N_2O排放通量均呈现出明显的季节变化,且2种处理下这3种温室气体的季节变化模式相似.覆膜处理下稻-油轮作农田全年CH_4排放量为(46. 14±13. 40) kg·hm~(-2),相比于对照处理下的(18. 61±2. 05) kg·hm~(-2),提高了147. 93%(P 0. 05),但覆膜对CO_2和N_2O的排放影响并不显著,覆膜及对照处理下CO2年排放量分别是(-47. 54±2. 11) t·hm~(-2)和(-47. 60±2. 19) t·hm~(-2),N2O年排放量分别是(18. 94±4. 74) kg·hm~(-2)和(23. 14±3. 68) kg·hm~(-2).覆膜和对照处理下GWP值分别为-41. 16 t·hm~(-2)和-40. 95 t·hm~(-2),表现为大气温室气体的吸收汇,但差异并不显著.     

Modelling forest management within a global vegetation model—Part 2: Model validation from a tree to a continental scale

The construction of a new forest management module (FMM) within the ORCHIDEE global vegetation model (GVM) allows a realistic simulation of biomass changes during the life cycle of a forest, which makes many biomass datasets suitable as validation data for the coupled ORCHIDEE-FM GVM. This study uses three datasets to validate ORCHIDEE-FM at different temporal and spatial scales: permanent monitoring plots, yield tables, and the French national inventory data. The last dataset has sufficient geospatial coverage to allow a novel type of validation: inventory plots can be used to produce continuous maps that can be compared to continuous simulations for regional trends in standing volumes and volume increments. ORCHIDEE-FM performs better than simple statistical models for stand-level variables, which include tree density, basal area, standing volume, average circumference and height, when management intensity and initial conditions are known: model efficiency is improved by an average of 0.11, and its average bias does not exceed 25%. The performance of the model is less satisfying for tree-level variables, including extreme circumferences, tree circumference distribution and competition indices, or when management and initial conditions are unknown. At the regional level, when climate forcing is accurate for precipitation, ORCHIDEE-FM is able to reproduce most productivity patterns in France, such as the local lows of needleleaves in the Parisian basin and of broadleaves in south-central France. The simulation of water stress effects on biomass in the Mediterranean region, however, remains problematic, as does the simulation of the wood increment for coniferous trees. These pitfalls pertain to the general ORCHIDEE model rather than to the FMM. Overall, with an average bias seldom exceeding 40%, the performance of ORCHIDEE-FM is deemed reliable to use it as a new modelling tool in the study of the effects of interactions between forest management and climate on biomass stocks of forests across a range of scales from plot to country.     

Human Impacts to River Temperature and Their Effects on Biological Processes: A Quantitative Synthesis1

Hester, Erich T. and Martin W. Doyle, 2011. Human Impacts to River Temperature and Their Effects on Biological Processes: A Quantitative Synthesis. Journal of the American Water Resources Association (JAWRA) 47(3):571‐587. DOI: 10.1111/j.1752‐1688.2011.00525.x Abstract: Land‐use change and water resources management increasingly impact stream and river temperatures and therefore aquatic organisms. Efforts at thermal mitigation are expected to grow in future decades. Yet the biological consequences of both human thermal impacts and proposed mitigation options are poorly quantified. This study provides such context for river thermal management in two ways. First, we summarize the full spectrum of human thermal impacts to help thermal managers consider the relative magnitudes of all impacts and mitigation options. Second, we synthesize biological sensitivity to river temperature shifts using thermal performance curves, which relate organism‐level biological processes to temperature. This approach supplements the popular use of thermal thresholds by directly estimating the impact of temperature shifts on the rates of key biological processes (e.g., growth). Our results quantify a diverse array of human thermal impacts, revealing that human actions tend to increase more than decrease river temperatures. Our results also provide a practical framework in which to quantify the sensitivity of river organisms to such impacts and related mitigation options. Finally, among the data and studies we synthesized, river organisms appear to be more sensitive to temperature above than below their thermal maxima, and fish are more sensitive to temperature change than invertebrates.     

Inverse calculation approaches for source determination in hazardous chemical releases

Source determination is vital in decision making and emergency planning involving hazardous chemical releases. This work was concentrated on inverse calculation approaches for source determination as well as current trends and future perspectives. In this paper, these different approaches are reviewed by dividing them into two categories: probability modeling methods and optimization modeling methods. The traits of these approaches are comparatively analyzed. Then it is shown how these approaches behave when applied to practical cases, and their feasibility, applicability, stability, and limitation in determining the location and strength are presented. It is argued that when experimenting with potential terrorist attacks involving hazardous chemical releases, observation points should be around the main line of the downwind direction when the source is known; while the uniform distribution of observation points is an efficient solution for unknown incidents. Probability modeling methods are demonstrated to be insufficient during emergency responses due to their lacking of enough prior information of unknown parameters, while optimization modeling methods are efficient and become a new trend in source determination. Findings reflect an urgent need for the development of high-accuracy detectors and further research of data transmission techniques in order to ensure the validity of these approaches.     

城市高温灾害性天气影响分析与危害评估——以长春市为例

以长春市1951-2008年的气象资料为基础,分析了长春市高温灾害性天气的时空分布特征及气温变暖趋势,总结了长春市温度变化与城市人口数量、GDP及供电量之间的关系,最终建立了长春市高温灾害性天气影响及危害评估的指标体系。     

南京近50年冬季低温冰冻积雪事件的气候特征

应用南京逐日观测资料分析了南京低温、冰冻和积雪灾害的变化特征及其与区域气候变暖的联系,得到如下结论:①低温、冰冻、积雪事件都存在一定的年代际和年际的周期变化;冬季平均最低气温和极端最低气温具有相似的周期性特征;积雪深度的年代际尺度的周期特征明显,但是较小尺度的年际周期不明显;②近50年来南京的低温、冰冻、积雪事件呈现波动下降的趋势;③南京年均气温和低温、冰冻、积雪事件之间存在较强的相关性与区域气候变暖关系密切。     

拉萨市近49年气温变化特征研究

2019年6月24日拉萨市出现了30.8℃的高温,创历史新高。为了更好的了解拉萨市气候变暖的机理以及评估该区域未来气候的变化状况,本文基于拉萨市自动气象站近49年的观测数据,采用线性趋势法、Mann-Kendall（M-K）突变检验、小波分析、R/S分析等方法深入研究了多时间尺度上气温的时空演变特征。结果显示：（a）拉萨市年平均温度正以0.5℃/10a的速率上升,各季节均温也呈现出显著上升趋势,其中冬季升温速率最快;（b）年平均温度M-K检测的两条统计曲线,在1995年虽有交点,但没有通过显著性水平α=0.05的可信度检验,表明年平均气温在该点并没有发生突变,而季节平均气温的突变检验在交点（1995年附近）之后UF曲线均突破显著性水平α=0.05,说明在此之后气温呈现出明显的上升趋势;（c）小波分析结果显示年平均气温具有8年和28年时间尺度特征;春、夏、秋三季温度的周期性变化规律与年平均气温相似,但冬季温度周期性变化规律相对复杂;（d）年平均气温和各季节平均气温的Hurst指数表明未来拉萨的气温将会延现今趋势持续上升。