Ozone pollution characteristics and sensitivity analysis using an observation-based model in Nanjing, Yangtze River Delta Region of China

Ground-level ozone (O₃) has become a critical pollutant impeding air quality improvement in Yangtze River Delta region of China. In this study, we present O₃ pollution characteristics based on one-year online measurements during 2016 at an urban site in Nanjing, Jiangsu Province. Then, the sensitivity of O₃ to its precursors during 2 O₃ pollution episodes in August was analyzed using a box model based on observation (OBM). The relative incremental reactivity (RIR) of hydrocarbons was larger than other precursors, suggesting that hydrocarbons played the dominant role in O₃ formation. The RIR values for NO_X ranged from –0.41%/% to 0.19%/%. The O₃ sensitivity was also analyzed based on relationship of simulated O₃ production rates with reductions of VOC and NO_X derived from scenario analyses. Simulation results illustrate that O₃ formation was between VOCs-limited and transition regime. Xylenes and light alkenes were found to be key species in O₃ formation according to RIR values, and their sources were determined using the Positive Matrix Factorization (PMF) model. Paints and solvent use was the largest contributor to xylenes (54%), while petrochemical industry was the most important source to propene (82%). Discussions on VOCs and NO_X reduction schemes suggest that the 5% O₃ control goal can be achieved by reducing VOCs by 20%. To obtain 10% O₃ control goal, VOCs need to be reduced by 30% with VOCs/NO_X larger than 3:1.     

祁连山七一冰川物质平衡的时空变化特征

基于2011-2016年七一冰川的野外观测资料,结合气象站数据及1975-2015年的遥感影像,分析了冰川末端变化、物质平衡时空变化特征及其对气候变化的敏感性,结果表明：1975年以来,七一冰川末端持续退缩235 m,平均退缩速率为5.9 m/a,冰川面积减少0.13 km²（4.5%）。2011-2016年,七一冰川的平均物质平衡为-476 mm w.e.,平均ELA为4941 m a.s.l.,物质平衡梯度为2.9 mm/m。从季节变化看,受风吹雪和冰面升华影响,11月至次年3月冰川呈负平衡;4月和9月物质平衡受降水控制,随海拔变化呈现降水效应;强消融期（6-8月）物质平衡随海拔升高线性增加;消融期末由9月初延后至9月底。敏感性分析结果表明,物质平衡对气温变化的敏感性为-178.7 mm w.e. °C^-1 a^-1,对降水变化的敏感性为+2.93 mm w.e. mm^-1 a^-1。即61 mm的降水增加才能弥补暖季气温升高1 °C引起的冰川净物质损失。     

Analysing the sensitivity behaviour of two hydrology models

Recently, the New Morris Method has been presented as an effective sensitivity analysis tool for mathematical models. The New Morris Method estimates the sensitivity of an output parameter to a given set of input parameters (first-order effects) and the extent these parameters interact with each other (second-order effects). This method requires the specification of two parameters (runs and resolution) that control the sampling of the output parameter to determine its sensitivity to various inputs. The criteria for these parameters have been set on the analysis of a well-behaved analytical function (see Cropp and Braddock, Reliab. Eng. Syst. Saf. 78:77–83, 2002), which may not be applicable to other physical models that describe complex processes. This paper will investigate the appropriateness of the criteria from (Cropp and Braddock, 2002) and hence the effectiveness of the New Morris Method to determine the sensitivity behaviour of two hydrologic models: the Soil Erosion and Deposition System and Griffith University Representation of Urban Hydrology. In the first case, this paper will separately analyse the sensitivity of an output parameter on a set of input parameters (first- and second-order effects) for each model and discuss the physical meaning of these sensitivities. This will be followed by an investigation into the sampling criteria by exploring the convergence of the sensitivity behaviour for each model as the sampling of the parameter space is increased. By comparing these trends to the convergence behaviour from Cropp and Braddock (2002), we will determine how well the New Morris Method estimates the sensitivity for each model and whether the sampling criteria are appropriate for these models. It will be shown that the New Morris Method can provide additional insight into the functioning of these models, and that, under a different metric, the sensitivity behaviour of these models does converge confirming the sampling criteria set by Cropp and Braddock.     

锑的淡水水质基准及其对我国水质标准的启示

针对我国锑水生生物水质基准缺乏的问题，收集筛选了锑对淡水水生生物的急性和慢性毒性数据，使用评价因子法、毒性百分数排序法和物种敏感度分布法分别推导我国锑的淡水水质基准，通过综合分析和比较，选择物种敏感度分布法推导的急性和慢性的水质基准值（466.62μg/L和88.71μg/L）作为最终的基准推荐值.通过与国内外现有锑相关水质标准进行比较，提出在我国相关水质标准修订中分别制定保护水生生物和人体健康水质标准的建议，避免水质标准对水生生物的"过保护"问题.     

管式反应器石灰雾液脱硫的数学模拟

建立的一维管式反应器雾液脱硫模型是对蒸发和吸收过程的耦合，以膜理论为基础的吸收机理同时考虑了含硫组分的离解、扩散、反应和固体颗粒的溶解。参数敏感性分析表明，对系统脱硫率影响最显的是出口干湿球温差，石灰颗粒粒度和入口ＳＯ２浓度、传质过程的分析表明，反应开始阶段液膜扩散和固体溶解阻力均存在，而气膜扩散在整个反应过程中都起着重要作用。     

提高环境水中纳克级超痕量汞测定灵敏度的研究

对ｎｇ／Ｌ级超痕量汞测定中的消解、测定各步骤对灵敏度的影响进行了研究。得出结论：采用高纯氩气作载、屏气，选择高负压值和高扩展倍率能明显提高灵敏度；选择合适的消解时间和缩短测定时间能使灵敏度略有提高；试剂和玻璃器皿所带给空白的痕量汞对提高灵敏度不利，应作除汞处理。     

气候条件变化对棉纤维品质的影响

对棉纤维品质试验的结果分析表明，其长度受气候条件的影响不明显，而比强度和麦克隆值则明显受气候条件的影响。从变异值分析，受气候影响大小顺序是：比强度〉发克隆值〉长度。影响比强度的气候因子主要是日均温、累积降水量和相对湿度，影响麦克隆值的气候因子主要是日均温和累积降水量或夜均温、累积降水量。并确定影响比强度的日均温最低临界值为24．5℃，最适值为26．1℃，铃期累积降水量的最高临界值为109．9mm，最适值为44．6mm，栩对湿度的最高临界值为77．7％，最适值为67．9％。麦克隆值适宜范围的日均温为20．5～24．8℃，累积降水量为108．2～308．2mm。长度适宜范围的最低温度为14．7～20．8℃，相对湿度为84．7％～89．5％。这些因子和指标的确定为建立棉纤维品质的定量模型奠定了基础。     

三种强度准则的盐穴应力弹塑性解及参数敏感性分析

为了更安全地建造地下盐穴储气库，采用Hoek-Brown(H-B)，Mohr-Coulomb(M-C)及Drucker-Prager(D-P)3种强度准则，推导了在内压作用下盐穴的塑性区应力解及塑性半径，讨论了各准则对塑性区半径的影响规律及各准则参数的估计方法。分别运用单因素分析法及多因素分析法，分析了塑性半径对H-B准则参数的敏感性。研究结果表明:同等条件下，H-B准则受岩性、造腔等因素影响时，微小内压的波动使得塑性半径的变化更剧烈，岩体质量较差时更显著。盐穴塑性应力与M-C，D-P相比偏小，更接近实际工程状况。围岩塑性半径受H-B准则参数影响程度的大小依次为:GSI，mi，σci，D。各参数的互相关性对结果影响不大。其中，H-B准则参数GSI，mi，σci的增大会使塑性半径减小，参数D的增大使得塑性区半径增大。研究成果可为合理选择盐穴储库硐室的力学模型及优化参数提供参考价值。     

北京市地下水中典型抗生素分布特征与潜在风险

应用气相色谱与质谱联用仪分析了北京市地下水内磺胺类(SAs)、氟喹诺酮类(FQs)、四环素类(TCs)、β-内酰胺类和大环内酯类等5大类抗生素.结果表明,北京地下水抗生素以SAs、FQs和TCs等3类为主,检出率分别为78.9%、100%和47.3%,其中甲氧苄氨嘧啶(TMP)、环丙沙星(CIP)和诺氟沙星(NOR)检出率均在70%以上.污灌区地下水样点抗生素浓度显著高于水源地和南水回灌区样点,磺胺二甲嘧啶(SDD)和磺胺嘧啶(SDZ)在污灌区检出峰值达到236 ng·L-1和96.8ng·L-1.生态风险评价结果表明,研究区地下水抗生素污染风险较小,但在污灌区显示中等或高等风险等级.CIP应作为研究区地下水抗生素监测中的重点监测对象.     

北京市郊区夏季臭氧重污染特征及生成效率

为研究北京郊区夏季O₃(臭氧)重污染过程特征及O₃生成的光化学敏感性,基于2016年夏季在北京郊区开展的针对O₃及其相关污染物的强化观测试验(7月23日—8月31日,共计40 d),分析了观测期间O₃浓度[以φ(O₃)计]变化特征、O₃重污染过程主控因素与O₃敏感性化学特征.结果表明:观测期间φ(O₃)超标时有发生,最大小时φ(O₃)为151.1×10-9,其中有15 d的φ(O₃)最大8 h滑动平均值(O₃-max-8h)超过了GB 3095—2012《环境空气质量标准》二级标准限值,占观测天数的37.5%;不同O₃重污染过程成因有所不同,城市烟羽传输的污染物对郊区O₃重污染过程影响显著(观测期间臭氧重污染过程:过程1,7月27—29日;过程3,8月9—11日;过程4,8月16日;过程5,8月21—24日),区域光化学污染对郊区O₃重污染过程也有贡献(观测期间O₃重污染过程2:8月4—6日);结合后向气流轨迹进一步辅助说明了不同重污染过程中O₃的来源不同.研究还发现,观测区域存在反“周末效应”现象,说明观测区域周末受人为影响较为明显;基于观测数据计算的OPE(O₃生成效率)分析了O₃光化学敏感性表明,在有OPE值的22 d内NO_x控制区和VOCs控制区出现的概率(41%)相等,即观测区域O₃对NO_x和VOCs均敏感;此外还发现,在O₃重污染过程中光化学敏感性会随其反应进程发生改变,由NO_x控制区逐渐转变为VOCs控制区.