京津冀地区典型城市秋冬季PM2.5输送特征研究

运用潜在源贡献分析（PSCF）方法,识别了2018年秋冬季京津冀地区典型城市北京,唐山和石家庄PM_2.5的潜在污染源区;基于气象-空气质量模式（WRF-CAMx）和传输通量计算方法定量评估了与其周边省市之间PM_2.5的传输贡献,识别了三个典型城市PM_2.5的传输路径,揭示了PM_2.5传输净通量的垂直分布特征.结果表明,三个城市秋冬季PSCF高值主要集中在河北南部,河南东北部和山西中东部地区;秋冬季PM_2.5均以本地贡献影响为主（51.78%~68.40%）,外来贡献为辅（31.60%~48.22%）,不同季节贡献率有所波动.整个观测期间,近地面主要表现为毗邻城市向北京和石家庄输送PM_2.5,而唐山主要表现为向外输送PM_2.5,净通量最大值出现在海拔0~50m,其净通量为-99.47t/d.同时鉴别出了一条主要的传输路径,即西南-东北方向.     

137Cs示踪技术在滦河源区栗钙土风蚀速率估算中的应用

对采集于滦河源区3个栗钙土剖面中的27个土层样品的pH、有机碳含量、碳酸钙含量、密度及质地进行了化验分析,运用ADCOM100超低本底γ谱仪测定了土壤样品1377Cs的比活度.结果表明,自然栗钙土以及被风蚀土壤剖面中137Cs比活度随深度呈指数递减式分布,其最大渗透深度可达约30cm;利用137Cs示踪技术估算的研究区土壤风蚀速率在0.1842cm·a-1和0.2897cm·a-1之间;栗钙土不同粒径土壤颗粒中137Cs的比活度差异显著,即细粒(粒径≤0.10mm的极细砂、粉粒和黏粒)中137Cs比活度大于细砂(0.10～0.25mm)中137Cs比活度大于粗粒(0.25～2.00mm的中砂、粗砂和极粗砂)中137Cs比活度.可见,运用137Cs示踪法可以定量估算区域土壤风蚀速率,但需综合考虑137s在土壤中的分布、土壤有机质含量和质地等因素,以使其结果将更为准确.     

沈阳市大气中PM2.5来源解析研究

通过2015年在沈阳市采集PM2.5样品及源类样品,分析样品的质量浓度和化学组成,用化学质量平衡(CMB)模型对该市PM2.5来源进行解析。结果表明:沈阳市大气中PM2.5浓度时空变化特征明显;各主要源类对沈阳市PM2.5的分担率依次为煤烟尘(28.03%)、二次无机离子(22.63%)、机动车尾气尘(17.27%)、城市扬尘(13.28%)、建筑尘(5.94%)、土壤风沙尘(5.82%)、道路尘(3.04%)、生物质燃烧尘(2.74%)和冶金尘(1.25%)。燃煤和机动车的有效控制既能降低本类源的贡献,也能降低二次无机离子,体现了多源类综合治理原则。     

气候变化对长江源地区高寒草甸生态系统的影响

近十几年来,长江源区气候暖干化趋势明显,冰川退缩、湖泊萎缩、草场退化、土地沙漠化、水土流失等环境问题日益严重。高寒草甸是长江源地区主要的植被类型之一,在全球变化影响下,以耐低温寒冷的嵩草属（Kobresia）植物为建群种的高寒草甸将面临更严重的生态胁迫。以长江源地区高寒草甸生态系统为研究对象,采用国际通用的生物地球化学模型模拟高寒草甸生物量、生产力和土壤有机质等的动态变化,并综合考虑人类活动对生态系统生产力和营养元素生物地球化学循环的影响,探讨了全球气候变化对高寒草甸生态系统可能造成的影响。     

用因子分析法解析抚顺市大气颗粒物来源

用因子分析法对2002年7月在抚顺市望花、新华、东洲、站前、水库五个监测点采集的TSP颗粒物样品进行了污染源定性识别和定量分析。计算结果表明，对于颗粒物样品，主要污染物来源是土壤尘，燃煤飞灰，建筑水泥，对颗粒物的贡献达71.2％。其次是燃煤，燃油的贡献占20.0％，汽车尾气占6.0％。     

水污染源解析技术与应用研究进展

阐述了水污染源解析的概念,将水污染源解析方法归纳总结为基于污染负荷估算的方法、基于污染潜力指数的方法及基于源受体污染物特征的方法 3种类型,并分别概述了各种方法的特点,综述了国内外水污染源解析研究的类型与应用进展。最后指出了我国水污染源解析研究在基础资料、研究对象及方法上存在的问题,提出了未来的研究重点。     

小鼠骨髓微核试验评价某市水源水及自来水的遗传毒性

在以往Ａｍｅｓ和ＶＤＳ试验的基础上，运用小鼠体内微核试验检测了某市自来水公司所属的８个水厂水源水、自来水及２个新拟建水厂源水的有机提取物的遗传毒性。结果表明，除２个新拟建水厂的源水外，该市原来的水源水和自来水，均可不同程度地诱导小鼠微核率的升高，并有明显的剂量反应关系。这说明，该市原来的水源水已受到不同程度的污染，而２个新拟建水厂的取水点则水质较好。     

清洁生产、生态工业和循环经济

清洁生产、生态工业和循环经济是当今环保战略的3个主要发展方向,三者有共同之处,又有各自明确的理论、实践和运行方式.笔者在对三者的内涵作了简单介绍之后,着重从理论上探讨环境管理延伸到企业、企业群落和国民经济一切相关领域的必然性和合理性,提出并论述了生态工业与循环经济的前提和本质是清洁生产,从优质资源、生态和环境总量保有量的角度探讨了循环经济对我国国际竞争力的重要性.      

Chemical characterization and source apportionment of PM1 and PM2.5 in Tianjin, China: Impacts of biomass burning and primary biogenic sources

The submicron particulate matter (PM₁) and fine particulate matter (PM_2.5) are very important due to their greater adverse impacts on the natural environment and human health. In this study, the daily PM₁ and PM_2.5 samples were collected during early summer 2018 at a sub-urban site in the urban-industrial port city of Tianjin, China. The collected samples were analyzed for the carbonaceous fractions, inorganic ions, elemental species, and specific marker sugar species. The chemical characterization of PM₁ and PM_2.5 was based on their concentrations, compositions, and characteristic ratios (PM₁/PM_2.5, AE/CE, NO₃^?/SO₄^2?, OC/EC, SOC/OC, OM/TCA, K+/EC, levoglucosan/K⁺, V/Cu, and V/Ni). The average concentrations of PM₁ and PM_2.5 were 32.4 µg/m³ and 53.3 µg/m³, and PM₁ constituted 63% of PM_2.5 on average. The source apportionment of PM₁ and PM_2.5 by positive matrix factorization (PMF) model indicated the main sources of secondary aerosols (25% and 34%), biomass burning (17% and 20%), traffic emission (20% and 14%), and coal combustion (17% and 14%). The biomass burning factor involved agricultural fertilization and waste incineration. The biomass burning and primary biogenic contributions were determined by specific marker sugar species. The anthropogenic sources (combustion, secondary particle formation, etc) contributed significantly to PM₁ and PM_2.5, and the natural sources were more evident in PM_2.5. This work significantly contributes to the chemical characterization and source apportionment of PM₁ and PM_2.5 in near-port cities influenced by the diverse sources.     

Chemical formation and source apportionment of PM2.5 at an urban site at the southern foot of the Taihang mountains

The region along the Taihang Mountains in the North China Plain (NCP) is characterized by serious fine particle pollution. To clarify the formation mechanism and controlling factors, an observational study was conducted to investigate the physical and chemical properties of the fine particulate matter in Jiaozuo city, China. Mass concentrations of the water-soluble ions (WSIs) in PM_2.5 and gaseous pollutant precursors were measured on an hourly basis from December 1, 2017, to February 27, 2018. The positive matrix factorization (PMF) method and the FLEXible PARTicle (FLEXPART) model were employed to identify the sources of PM_2.5. The results showed that the average mass concentration of PM_2.5 was 111 μg/m³ during the observation period. Among the major WSIs, sulfate, nitrate, and ammonium (SNA) constituted 62% of the total PM_2.5 mass, and NO₃^? ranked the highest with an average contribution of 24.6%. NH₄⁺ was abundant in most cases in Jiaozuo. According to chemical balance analysis, SO₄^2?, NO₃^?, and Cl^? might be present in the form of (NH₄)₂SO₄, NH₄NO₃, NH₄Cl, and KCl. The liquid-phase oxidation of SO₂ and NO₂ was severe during the haze period. The relative humidity and pH were the key factors influencing SO₄^2- formation. We found that NO₃^? mainly stemmed from homogeneous gas-phase reactions in the daytime and originated from the hydrolysis of N₂O₅ in the nighttime, which was inconsistent with previous studies. The PMF model identified five sources of PM_2.5: secondary origin (37.8%), vehicular emissions (34.7%), biomass burning (11.5%), coal combustion (9.4%), and crustal dust (6.6%).