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。     

负载型纳米TiO2光催化剂的制备及其降解水中微量间二甲苯的研究

采用浸涂-烧结法制备的纳米TiO2光催化剂负载量约为6mg／g载体，催化剂经5次重复使用其催化效果稳定，表明催化剂表面TiO2粉体负载牢固；以高压汞灯为光源，对水中微量间二甲苯的负载型纳米TiO2光催化氧化过程的研究表明：初始浓度在6．68～17．36mg／L的范围内，间二甲苯的光催化反应遵循表现一级反应动力学规律，反应的表现速率常数随溶液初始浓度的增大而减小，半衰期则随初始浓度的增大而增加。     

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.     

CO2浓度升高对半干旱区春小麦光合作用及水分生理生态特性的影响

大气CO₂浓度升高已成为世界范围内重要环境问题。为了解大气CO₂浓度升高对春小麦光合作用及水分生理生态特性的影响,在典型半干旱区定西利用开顶式气室(OTC)试验平台,以春小麦“定西24号”为供试品种,开展了CO₂浓度增加模拟试验。试验设对照(390μmol·mol^?1)、480μmol·mol^?1和570μmol·mol^?1等3个CO₂浓度(摩尔分数)梯度。结果表明:在对照和增加CO₂浓度条件下,春小麦叶片净光合速率和蒸腾速率日变化均呈“双峰型”分布,出现明显的“午休”现象;胞间CO₂浓度的日变化表现为斜“V”字型曲线;叶水势日变化呈现反抛物线曲线走向,在中午后出现水势曲线拐点。在不同生育时期内,净光合速率、气孔导度和胞间CO₂浓度均表现为开花期最大,乳熟期最小。而蒸腾速率表现为开花期最大,拔节期最小,叶片水平水分利用效率表现为孕穗期最大,乳熟期最小。随着CO₂浓度升高,春小麦叶片净光合速率、胞间CO₂浓度、水分利用效率和水势提高,气孔导度和蒸腾速率降低。与对照大气CO₂浓度相比,在480μmol·mol^?1浓度和570μmol·mol^?1浓度下,整个生育期净光合速率平均分别提高了14.68%和28.20%,气孔导度平均降低了15.29%和24.83%,胞间CO₂浓度平均提高了10.38%和26.15%,蒸腾速率平均减小了6.63%和12.41%,WUE平均增加了22.9%和46.9%。随着CO₂浓度升高,蒸腾失水减少,叶片水势不断增加,从而增强了春小麦对干旱胁迫的抵御能力。研究结果为我国半干旱区春小麦对全球气候变化下的敏感性及适应性提供理论参考。