TiO2光催化氧化的研究进展

概述了TiO2光催化氧化降解水中污染物的原理及TiO2光催化剂的制备，提出了增强其活性的途径。TiO2光催化氧化可应用于印染、农药、造纸等工业废水及饮用水处理中，研制高效的负栽型纳米TiO2光催化剂、解决太阳能利用问题、开发多功能光催化反应器是今后TiO2光催化氧化的发展趋势。     

淮河流域旱涝易发区农田的陆气相互作用——CO2通量、能量交换和水汽输送的季节变化特征

利用淮河流域旱涝易发区的安徽省寿县农田下垫面陆气相互作用观测试验资料,重点分析观测期内CO2通量、能量交换和水汽输送的季节变化,并讨论了与此有关的辐射分量通量、下垫面反射率、波恩比、能量闭合守恒、土壤温度和土壤湿度的季节变化.结果表明CO2通量、能量分配受地表农作物长势影响明显,其中,水稻灌浆、成熟期,被稻田吸收的CO2通量最大可超过2 mg·m-2·s-1,潜热通量达到正的极大值.稻田光合作用最旺盛时期吸收的CO2通量和释放的潜热通量均大于小麦田光合作用最旺盛时期的对应量.较大土壤热通量对应于较低的土壤水含量.试验观测期的下垫面平均反射率为0.14.作物生长期,稻田表面潜热是下垫面吸收能量的主要消费者,小麦田表面潜热和感热相当.能量闭合率ε的变化范围为0.4～1.     

南昌市环境空气质量分析和控制

利用多年的环境监测数据,分析南昌市环境空气中主要污染物尘类、二氧化硫和氮氧化物产生的原因,并提出有效控制上述污染物的具体措施。     

UV/O3复合降解水中2,4-二氯酚的试验研究

以紫外光源为主要依托,变换反应器中的不同工艺条件,分别对紫外光、臭氧和紫外/臭氧三种不同于工艺条件对水中污染物2,4-二氯酚(2 ,4-DCP)的降解规律进行研究.结果表明,UV/O3复合对2,4-DCP的降解较UV、O3单独作用效果好;溶液的酸碱度影响UV/O3对2 ,4-DCP的降解;此外,溶液中含有细菌时,E. coli的杀灭效果仍表现为UV/O3＞O3＞UV.细菌的杀灭和2,4-DCP的降解均消耗羟基自由基,形成竞争反应,从而影响到2,4-DCP的降解效果.     

绵阳市大气主要污染物浓度变化规律试析

通过分析绵阳市近几年来大气主要污染物的监测数据，揭示了其时空分布特征及成因，并有针对性地提出了一些防治对策。     

石油天然气钻探过程中硫化氢的监测

石油天然气钻探过程中硫化氢的准确监测是确保钻井安全的条件。在介绍硫化氢气体的性质、危害的基础上具体阐述了现场常用硫化氢监测方法。对现行井场硫化氢监测问题进行了探讨，提出了硫化氢监测应从监测地面气体向监测地层流延伸，硫化氢报警内容应多样化的建议。     

流化床O2/CO2燃烧技术和化学链燃烧技术

O2／CO2燃烧技术不仅能使分离收集CO2和处理SO2容易进行，还能减少NOx排放，是一种能够综合控制燃煤污染物排放的新型洁净燃烧技术。流化床O2／CO2燃烧技术将流化床和O2／CO2燃烧技术的优点结合起来，有可能取得更好的效果。化学链燃烧技术打破了自古以来的火焰燃烧概念，开拓了根除燃料型NOx生成、控制热力型NOx产生与回收CO2的新途径，是解决能源与环境问题的创新性突破口。介绍了流化床O2／CO2燃烧技术和流化床化学链燃烧技术的原理和研究现状，比较了它们之间的差别，展望了发展前景。     

ClO2去除废水中石油类污染物的研究

就如何使用ClO2和O3对水中石油类污染物氧化去除进行了研究，确定了最佳反应时间、pH和氧化剂用量对去除率的影响。ClO2的最佳投加量应为有机物总量的1．5倍，反应时间可控制在20min上。ClO2处理pH5．0～6．5溶液时的去除效果最好。同时进行了O3的对照实验。分析了ClO2和O3在水处理应用中的优缺点。     

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.     

When and how to use Q methodology to understand perspectives in conservation research

Understanding human perspectives is critical in a range of conservation contexts, for example, in overcoming conflicts or developing projects that are acceptable to relevant stakeholders. The Q methodology is a unique semiquantitative technique used to explore human perspectives. It has been applied for decades in other disciplines and recently gained traction in conservation. This paper helps researchers assess when Q is useful for a given conservation question and what its use involves. To do so, we explained the steps necessary to conduct a Q study, from the research design to the interpretation of results. We provided recommendations to minimize biases in conducting a Q study, which can affect mostly when designing the study and collecting the data. We conducted a structured literature review of 52 studies to examine in what empirical conservation contexts Q has been used. Most studies were subnational or national cases, but some also address multinational or global questions. We found that Q has been applied to 4 broad types of conservation goals: addressing conflict, devising management alternatives, understanding policy acceptability, and critically reflecting on the values that implicitly influence research and practice. Through these applications, researchers found hidden views, understood opinions in depth and discovered points of consensus that facilitated unlocking difficult disagreements. The Q methodology has a clear procedure but is also flexible, allowing researchers explore long‐term views, or views about items other than statements, such as landscape images. We also found some inconsistencies in applying and, mainly, in reporting Q studies, whereby it was not possible to fully understand how the research was conducted or why some atypical research decisions had been taken in some studies. Accordingly, we suggest a reporting checklist.