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.     

Particulate matter exchange between atmosphere and roads surfaces in urban areas

The deposition and the re-suspension of particulate matter (PM) in urban areas are the key processes that contribute not only to stormwater pollution, but also to air pollution. However, investigation of the deposition and the re-suspension of PM is challenging because of the difficulties in distinguishing between the resuspended and the deposited PM. This study created two Bayesian Networks (BN) models to explore the deposition and the re-suspension of PM as well as the important influential factors. The outcomes of BN modelling revealed that deposition and re-suspension of PM10 occurred under both, high-traffic and low-traffic conditions, and the re-suspension of PM2.5 occurred under low-traffic conditions. The deposition of PM10 under low-volume traffic condition is 1.6 times higher than under high-volume traffic condition, which is attributed to the decrease in PM10 caused by relatively higher turbulence under high-volume traffic conditions. PM10 is more easily resuspended from road surfaces compared to PM2.5 as the particles which larger than the thickness of the laminar airflow over the road surface are more easily removed from road surfaces. The increase in wind speed contributes to the increase in PM build-up by transporting particulates from roadside areas to the road surfaces and the airborne PM2.5 and PM10 increases with the increase in relative humidity. The study outcomes provide a step improvement in the understanding of the transfer processes of PM2.5 and PM10 between atmosphere and urban road surfaces, which in turn will contribute to the effective design of mitigation measures for urban stormwater and air pollution.     

保定市大气污染特征和潜在输送源分析

保定市是京津冀地区重要城市之一.为了解保定市大气污染物质量浓度特征和潜在输送源,对保定市国控点2017年1月1日-12月31日PM₁₀、PM_2.5、SO₂、NO₂、O₃、CO等常规大气污染物数据进行分析,并利用TrajStat后向轨迹模型进行区域传输研究.结果表明:①ρ（PM₁₀）、ρ（PM_2.5）、ρ（SO₂）、ρ（NO₂）分别为（138±96）（84±66）（29±23）和（50±24）μg/m3,与2016年相比分别下降5.9%、9.1%、25.5%和13.1%;ρ（CO）较2016年下降了14.0%;ρ（O₃）较2016年增长了25.2%.ρ（PM₁₀）、ρ（PM_2.5）、ρ（NO₂）和ρ（O₃）分别超过GB 3095-2012《环境空气质量标准》二级标准限值的0.97、1.40、0.25和0.34倍,ρ（SO₂）和ρ（CO）未超标.②除ρ（O₃）外,其他污染物质量浓度均呈冬季最高、夏季最低的季节性特征,其中,冬季PM_2.5污染最为严重,春季PM_2.5~10（粗颗粒物）污染严重.③空气质量模型源解析结果显示,保定市ρ（PM_2.5）约60.0%~70.0%来自本地污染源排放.后向轨迹结果表明,在外来区域传输影响中,保定市主要受到西北方向气团（占比为21.7%~60.0%）远距离传输和正南方向气团（占比为34.8%~50.5%）近距离传输的影响.④PSCF（潜在源贡献因子分析法）和CWT（浓度权重轨迹分析法）分析表明,除保定市及周边区县本地污染贡献外,位于太行山东麓沿线西南传输通道的邯郸市、邢台市、石家庄市是影响保定市PM_2.5的主要潜在源区.研究显示,PM_2.5为保定市大气中的主要污染物,并呈冬季高、夏季低的变化特征,其主要来自西北远距离输送和南部近距离传输.      

长江经济带水质目标管理平台总体设计

为强化长江经济带资源整合与共享,集成统一规范的大数据平台,基于“十一五”“十二五”国家水体污染控制与治理科技重大专项数据和模型库资源,以面向服务的架构(SOA)和模块化设计为支撑,遵循“五横两纵四统一”的平台架构设计思路,应用大数据挖掘、云计算等现代信息技术,构建长江经济带水质目标管理平台.平台基于长江经济带水生态环境功能分区,兼顾不同类别水质目标管理技术的协调性、衔接性和适应性,对水质目标管理相关信息进行跟踪、模拟、分析和三维可视化表达,在水生态环境功能分区管理、数据汇交与信息共享、容量总量管理、风险评估与预警等方面实现业务化运行,实现全景式水质达标形势研判、一体化风险联防联控.平台已在国家长江生态环境保护修复联合研究中心进行业务化运行,将有效提升长江经济带水环境综合管理能力,同时可为其他重要流域水质目标管理提供信息化工作参考.      

Cr(Ⅵ)踪迹指标现场测定用于铬污染地下水源解析

根据研究区地下水样品测试结果,该文选定与Cr(Ⅵ)极强相关,且物理化学性质较稳定的钠离子作为研究地下水中Cr(Ⅵ)迁移规律的踪迹指标,并采用钠离子复合电极建立了踪迹指标现场检测方法。实验结果表明,钠离子浓度在5～500 mg/L线性范围内的电极响应斜率为-61.09 mV/pNa(103%),方法检出限为0.69 mg/L,加标回收率为92.8%～103.4%,现场测试结果与实验室测试结果一致。该研究根据踪迹指标钠离子与污染物现场检测数据,构建了钠离子与Cr(Ⅵ)浓度比值的对数函数,并有效识别出主污染源、次级污染源、污染物迁移主路径、潜在污染区、潜在影响区及背景区,为铬渣类污染场地土壤和地下水环境风险评价及污染修复提供了技术支撑和参考依据。     

装备可靠性工程实施过程的量化评估研究及实践

目的 为装备可靠性工程实施过程探索一种量化评估方法,改变现有可靠性工作要求不能通过量化评估直观反映装备可靠性工程完成情况的现状。方法 首先对装备可靠性工程中的可靠性管理、可靠性设计与分析、可靠性试验与评估、使用可靠性评估四个方面内容如何实施量化评估开展研究,解决评估工作的主要问题;其次明确评估基本要求,制定量化评估工作流程;最后以典型装备为评估对象,采用上述评估方法和流程为其开展可靠性工程实施过程量化评估工作。结果 通过本次量化评估,反映出该装备在可靠性工程实施过程较为完整和规范,同时也发现该装备可靠性工程实施过程中还需进一步提高和改善的工作项目。结论 通过对典型装备可靠性工程实施过程开展量化评估工作,可更直观地反映该装备可靠性工程实施成效,有针对性地提升型号装备整体质量与可靠性水平,以点带面,也可为同类型装备的可靠性工作提供更好的参考。     

报废轻武器毁形方法研究

目的 研究探索报废轻武器毁形方法。方法 根据报废轻武器的毁形难点,分析切割、粉碎、锻压、熔炼等各种现有毁形方法的技术优势、难点及可行性,并对部分毁形技术进行验证试验,确定可以应用于轻武器毁形的技术方法。结果 经过试验检验,机械切割无法切断14.5 mm枪管,激光切割、等离子切割无法直接切透14.5 mm枪管,粉碎机无法对14.5 mm枪管进行完全破碎,加热和锻压技术可以对枪支实现彻底毁形,加热粉碎技术对14.5 mm枪管破碎效果一般,残疾规格随意性大。结论 组合运用加热和锻压技术进行轻武器毁形具有时间短、效率高、操作简单的优势,而且便于实现销毁自动化。     

我国西南地区森林土壤中有机氯农药和多氯联苯残留的初步研究

对西南地区森林土壤中有机氯农药和多氯联苯的分布和剖面进行了区域尺度分析。相比较发达国家和地区,我国西南地区森林土壤中有机氯农药含量水平较高,多氯联苯则相对较低。这与我国此类持久性有机污染物历史使用情况吻合。多氯联苯和有机氯农药在腐殖质层的含量一般高于表层土壤中,说明淋溶作用导致污染物向下移动。DDTs和HCHs是土壤样品中有机氯农药的主要成分,说明我国历史上长期施用农药对森林土壤农药的组成有显著影响。环境参数（包括TOC、降雨量和海拔高度）对大多数有机氯农药的区域空间分布的作用并不显著,周边污染源是控制有机氯农药在腐殖质层土壤中分布的关键因素;尤其是DDTs,比值分析结果显示仍有新鲜的工业滴滴涕输入。多氯联苯在腐殖质层中的含量明显要高于其在表层土壤中的含量,多氯联苯在土壤中的空间分布和土层中的垂直分布主要受土壤TOC含量的控制。以大气干湿沉降来源贡献为主的多氯联苯与土壤中的有机质有效结合会降低它们的再挥发过程,表明西南地区山地森林对多氯联苯具有一定森林过滤效应。