水库温室气体排放及其影响因素研究进展

二氧化碳、甲烷和氧化亚氮是3种重要的温室气体。水库是这些温室气体的重要排放源,排放途径多样,而且排放受诸多因素影响,其温室气体的排放量在时间和空间上存在差异。水库消落区是连接水陆生态系统能流、物流的枢纽,是温室气体产生的重要场所。通过分析国内外水库温室气体排放相关领域的研究成果,阐述了水库消落区、水库沉积物中温室气体的产生和排放特点;总结分析了水库温室气体的4个主要排放途径:水面自由扩散、气泡排放、水轮机和溢洪道、大坝下游河流排放;从季节变化、水面风速、水体pH、水温、水体含氧量、水位变化、水体中氮元素和磷元素浓度、库龄等角度,深入探讨了水库温室气体排放的影响因素;提出了未来在水库温室气体研究中需要加强的几方面内容。     

CO2 seasonal variation and global change: Test global warming from another point of view

CO₂ and temperature records at Mauna Loa, Hawaii, and other observation stations show that the correlation between CO₂ and temperature is not significant. These stations are located away from big cities, and in various latitudes and hemispheres. But the correlation is significant in global mean data. Over the last five decades, CO₂ has grown at an accelerating rate with no corresponding rise in temperature in the stations. This discrepancy indicates that CO₂ probably is not the driving force of temperature change globally but only locally (mainly in big cities). We suggest that the Earth''s atmospheric concentration of CO₂ is too low to drive global temperature change. Our empirical perception of the global warming record is due to the urban heat island effect:temperature rises in areas with rising population density and rising industrial activity. This effect mainly occurs in the areas with high population and intense human activities, and is not representative of global warming. Regions far from cities, such as the Mauna Loa highland, show no evident warming trend. The global monthly mean temperature calculated by record data, widely used by academic researchers, shows R²=0.765, a high degree of correlation with CO₂. However, the R² shows much less significance (mean R²=0.024) if calculated by each record for 188 selected stations over the world. This test suggests that the inflated high correlation between CO₂ and temperature (mean R²=0.765-0.024=0.741) used in reports from the Intergovernmental Panel on Climate Change (IPCC) was very likely produced during data correction and processing. This untrue global monthly mean temperature has created a picture:human emission drives global warming.     

温室气体排放评价指标及其定量分析

温室气体排放的科学定量评价是建立国际温室气体减排框架、确定各国合理的减排责任、部署国际减排行动的基础。通过系统阐述目前国际上通行的温室气体排放的主要评价指标(国别排放指标、人均排放指标、GDP 排放指标和国际贸易排放指标等), 并通过定量评价剖析这些评价指标的优缺点及其局限性。讨论了发展科学、公平和易于广泛接受的新评价指 标的可能性。基于可持续发展的公平性原则, 提出了“工业化累积人均排放量” 的新指标, 以客观定量评价世界各国工业化以来温室气体历史累积排放量的当代人均量。新指标的结果显示, 英美等老牌工业化国家的工业化累积人均排放量远高于全球平均水平和发展中国家的 水平。还提出并讨论了人均单位GDP 排放量、消费排放量、生存排放量等潜在的评价指标。     

大兴安岭多年冻土区森林土壤温室气体通量

多年冻土温室气体排放对全球气候变化有重要影响。采用静态暗箱—气相色谱法,于2016—2017年生长季（5—9月）,对大兴安岭多年冻土区兴安落叶松林、樟子松林和白桦林土壤二氧化碳（CO₂）、甲烷（CH₄）和氧化亚氮（N₂O）通量进行野外原位观测,对比分析温室气体通量的动态变化特征及其关键影响因子。结果表明：3种林型土壤CO₂通量范围为65.88~883.59 mg·m^-2·h^-1;CH₄通量范围为-93.29~-2.82 μg·m^-2·h^-1;N₂O通量范围为-5.31~45.22 μg·m^-2·h^-1。整个生长季兴安落叶松林、樟子松林和白桦林土壤均表现为CO₂、N₂O的排放源、CH₄的吸收汇,土壤CO₂和CH₄通量在不同林型和年际间差异显著。3种林型土壤CO₂通量与5 cm、10 cm和15 cm土壤温度呈极显著正相关（P < 0.01）;CH₄通量受土壤含水量和10 cm、15 cm土壤温度的影响较大（P < 0.05）;兴安落叶松林和樟子松林土壤N₂O通量与气温呈显著正相关（P < 0.05）,而白桦林土壤N₂O则与15 cm土壤温度呈显著负相关（P < 0.05）。基于100 a时间尺度计算温室气体全球综合增温潜势,3种林型土壤温室气体的排放对气候变暖具有正反馈作用。     

A quantitative comparison and analysis on the assessment indicators of greenhouse gases emission

Anthropogenic greenhouse gases (GHG) emission and related global warming issues have been the focus of international communities for some time. The international communities have reached a consensus to reduce anthropogenic GHG emissions and restrain global warming. The quantitative assessment of anthropogenic GHG emissions is the scientific basis to find out the status of global GHG emission, identify the commitments of each country, and arrange the international efforts of GHG emission reduction. Currently the main assessment indicators for GHG emission include national indicator, per capita indicator, per GDP indicator, and international trade indicator etc. The introduction to the above indicators is put forward and their merits and demerits are analyzed. Based on the GHG emission data from the World Resource Institute (WRI), the US Energy Information Administration (EIA), and the Carbon Dioxide Information Analysis Center (CDIAC), the results of each indictor are calculated for the world, for the eight G8 industrialized countries (USA, UK, Canada, Japan, Germany, France, Italy and Russia), and the five major developing countries including China, Brazil, India, South Africa and Mexico. The paper points out that all these indicators have some limitations. The Indicator of Industrialized Accumulative Emission per Capita (IAEC) is put forward as the equitable indicator to evaluate the industrialized historical accumulative emission per capita of every country. IAEC indicator can reflect the economic achievement of GHG emission enjoyed by the current generations in every country and their commitments. The analysis of IAEC indicates that the historical accumulative emission per capita in industrialized countries such as UK and USA were typically higher than those of the world average and the developing countries. Emission indicator per capita per GDP, consumptive emission indicator and survival emission indicator are also put forward and discussed in the paper.     

温室气体排放评价指标及其定量分析

Anthropogenic greenhouse gases （GHG） emission and related global warming issues have been the focus of international communities for some time. The international communities have reached a consensus to reduce anthropogenic GHG emissions and restrain global warming. The quantitative assessment of anthropogenic GHG emissions is the scientific basis to find out the status of global GHG emission, identify the commitments of each country, and arrange the international efforts of GHG emission reduction. Currently the main assessment indicators for GHG emission include national indicator, per capita indicator, per GDP indicator, and international trade indicator etc. The introduction to the above indi- cators is put forward and their merits and demerits are analyzed. Based on the GHG emission data from the World Resource Institute （WRI）, the US Energy Information Administration （EIA）, and the Carbon Dioxide Information Analysis Center （CDIAC）, the results of each indictor are calculated for the world, for the eight G8 industrialized countries （USA, UK, Canada, Japan, Germany, France, Italy and Russia）, and the five major developing countries including China, Brazil, India, South Africa and Mexico. The paper points out that all these indicators have some limitations. The Indicator of Industrialized Accumulative Emission per Capita （IAEC） is put forward as the equitable indicator to evaluate the industrialized historical accumulative emission per capita of every country. IAEC indicator can reflect the economic achievement of GHG emission enjoyed by the current generations in every country and their commitments. The analysis of IAEC indicates that the historical accumulative emission per capita in indus- trialized countries such as UK and USA were typically higher than those of the world average and the developing countries. Emission indicator per capita per GDP, consumptive emission indicator and survival emission indicator are also put forward and discussed in the paper.