Progress in quantitative research on the relationship between atmospheric oxidation and air quality

Atmospheric oxidizing capacity (AOC) is an essential driving force of troposphere chemistry and self-cleaning, but the definition of AOC and its quantitative representation remain uncertain. Driven by national demand for air pollution control in recent years, Chinese scholars have carried out studies on theories of atmospheric chemistry and have made considerable progress in AOC research. This paper will give a brief review of these developments. First, AOC indexes were established that represent apparent atmospheric oxidizing ability (AOIe) and potential atmospheric oxidizing ability (AOIp) based on aspects of macrothermodynamics and microdynamics, respectively. A closed study refined the quantitative contributions of heterogeneous chemistry to AOC in Beijing, and these AOC methods were further applied in Beijing-Tianjin-Hebei and key areas across the country. In addition, the detection of ground or vertical profiles for atmospheric OH·, HO₂·, NO₃· radicals and reservoir molecules can now be obtained with domestic instruments in diverse environments. Moreover, laboratory smoke chamber simulations revealed heterogeneous processes involving reactions of O₃ and NO₂, which are typical oxidants in the surface/interface atmosphere, and the evolutionary and budgetary implications of atmospheric oxidants reacting under multispecies, multiphase and multi-interface conditions were obtained. Finally, based on the GRAPES-CUACE adjoint model improved by Chinese scholars, simulations of key substances affecting atmospheric oxidation and secondary organic and inorganic aerosol formation have been optimized. Normalized numerical simulations of AOIe and AOIp were performed, and regional coordination of AOC was adjusted. An optimized plan for controlling O₃ and PM_2.5 was analyzed by scenario simulation.     

VOC emission caps constrained by air quality targets based on response surface model: A case study in the Pearl River Delta Region, China

Because of the recent growth in ground-level ozone and increased emission of volatile organic compounds (VOCs), VOC emission control has become a major concern in China. In response, emission caps to control VOC have been stipulated in recent policies, but few of them were constrained by the co-control target of PM_2.5 and ozone, and discussed the factor that influence the emission cap formulation. Herein, we proposed a framework for quantification of VOC emission caps constrained by targets for PM_2.5 and ozone via a new response surface modeling (RSM) technique, achieving 50% computational cost savings of the quantification. In the Pearl River Delta (PRD) region, the VOC emission caps constrained by air quality targets varied greatly with the NO_x emission reduction level. If control measures in the surrounding areas of the PRD region were not considered, there could be two feasible strategies for VOC emission caps to meet air quality targets (160 µg/m³ for the maximum 8-hr-average 90th-percentile (MDA8-90%) ozone and 25 µg/m³ for the annual average of PM_2.5): a moderate VOC emission cap with <20% NOx emission reductions or a notable VOC emission cap with >60% NO_x emission reductions. If the ozone concentration target were reduced to 155 µg/m³, deep NO_x emission reductions is the only feasible ozone control measure in PRD. Optimization of seasonal VOC emission caps based on the Monte Carlo simulation could allow us to gain higher ozone benefits or greater VOC emission reductions. If VOC emissions were further reduced in autumn, MDA8-90% ozone could be lowered by 0.3-1.5 µg/m³, equaling the ozone benefits of 10% VOC emission reduction measures. The method for VOC emission cap quantification and optimization proposed in this study could provide scientific guidance for coordinated control of regional PM_2.5 and O₃ pollution in China.     

试论高职高专教育毕业生质量标准

本文详细地论述了什么是高职高专教育的毕业生质量标准和为什么要制定毕业生质量标准以及制定毕业生质量标准的原则、毕业生质量标准的内容及方法。     

精品意识在教学过程中的实施

以教师、课程与教材、课堂、科研等要素为出发点,提出了精品意识在教学过程中的实施方法。     

水污染综合指数评价方法与应用分析

分析了我国河流水质综合评价方法的现状以及运用水污染综合指数评价河流水质的方法 ,同时应用实例采用不同方法对综合指数进行了计算 ,通过对计算结果进行比较评价分析 ,综合加权计算方法的结果比较符合实际 ,而且直观明了     

人工湿地系统用于地表水水质改善的效能及特征

在北京官厅水库附近建立潜流人工湿地(总面积:3×20m×2m),芦苇、蒲草混合种植,研究其在不同季节条件下对地表水的处理效能及特征,分析了进水浓度、水力负荷、温度对污染物去除率的影响.结果表明,系统对地表水有较好的处理效果,COD_Mn和NH₄⁺-N的出水浓度与进水浓度的回归关系遵从线性关系;系统对TN、TP的去除率分别为20%～60%和30%～45%;污染物的去除率随温度的降低而降低,随水力负荷率的增加而降低;COD_Mn、NH₄⁺-N和TN的去除率与其进水浓度呈正相关,而TP去除率与其进水浓度呈负相关.并研究建立了潜流湿地冬季运行管理措施.     

基于中巴地球资源1号卫星的太湖表层水体水质遥感

利用CBERS 1的CCD数据和准同步地面监测数据,结合水体组分的光谱特征,建立了太湖表层水体叶绿素a和总氮的遥感信息模型.将模型用于2000 09 16太湖表层水体,所得结果较客观地反映了叶绿素a和总氮的分布趋势,表明利用CBERS 1的CCD数据进行湖泊表层水体水质指标监测具有重要的现实意义和应用前景.由于地面监测站位有限,模型在浅水草型湖泊———东太湖的适用性受到一定限制,说明同步性好、覆盖广的地面监测对于水质遥感信息模型的准确性和适用性至关重要.     

长江三角洲地区对流层臭氧的数值模拟研究

将NCAR的中尺度天气预报模式MM5和作者开发的化学模式相耦合,建立了一个中尺度区域空气质量模式.利用该模式选取了2个典型个例研究了长江三角洲地区的区域臭氧化学问题.本研究的目的是利用模式再现并描述长江三角洲地区的大气物理化学过程,结合地面观测资料进一步定量分析控制该地区臭氧浓度的物理和化学因子.通过个例模拟和分析表明,模式基本反应了长江三角洲地区的大气物理化学过程,进一步的因子分析解释了模拟区域内1999 06 18(个例2)臭氧浓度普遍比1999 08 07(个例1)的臭氧浓度高的原因.模拟结果表明天气条件决定的大气动力过程对区域空气质量起着至关重要的作用,这也是个例2区域臭氧浓度普遍偏高的最主要因素之一.分析表明,物理因子(平流输送,垂直湍流输送)的作用和化学因子的作用同样重要.同时还做了模式参数的敏感性实验研究,并对中尺度云雨化学模拟及其对臭氧化学的影响做了初步研究.     

干法高炉煤气净化在唐钢一炼铁厂3~#高炉易地大修中的应用

详细介绍了唐钢３＃高炉干法煤气净化系统。该系统与湿式高炉煤气净化系统相比，提高了煤气质量，节能效果显著，具有广泛的推广使用价值。     

环境质量评价中的赋权技术

介绍了环境质量评价权重的定义，作用及因子赋权的原则，详细阐述了目前常用的１６种赋权方法的原理，步骤及优缺点，并对环境质量主平价中有关赋权听几个问题进行了讨论。