加油站油类污染物自然衰减现场试验研究

利用自行设计制作的一套土壤气体取样监测装置,在北京地区某加油站开展了包气带内石油类污染物自然衰减的现场试验研究.在现场对包气带内的土壤气体样本进行采集,并对样本中的VOC含量及O2、CO2含量进行了检测分析.2个阶段的检测结果表明,经过381 d的自然衰减,污染点位的TVOC浓度减少了99.2%,BTEX的气相浓度占TVOC的比例由17.0%降至12.1%;O2和CO2含量在G3点位呈现出随着土壤深度的增加,O2含量逐渐减少、CO2含量逐渐增加的变化趋势.通过对试验结果的分析得出以下结论:①第一次检测结果表明G3点位附近存在一定的土壤污染,经过381 d的自然衰减,G3点位土壤中的BTEX含量已降至保护环境的标准以下,该污染现场的环境监控措施可以解除;②对造成该点污染的原因进行推断,可以判定污染为短期污染源导致,不存在持续的泄漏源;③自然衰减能够有效清除土壤中污染物,可以作为北京市同类污染场地有效的治理手段加以考虑;④检测污染土壤中O2和CO2含量的变化是判断有机污染物需氧降解的有效手段.     

各种采样装置用于HCs天然源采样的可行性研究

对不锈钢采样罐、小钢瓶、气体采样袋和不锈钢采样管（填充Ｔｅｎａｘ ＧＣ）等４种采样装置进行了碳氢天然源采样的可行性研究,发现,不锈钢采样罐密闭性好,内壁吸附少;不锈钢采样管对天然ＨＣｓ的吸附和解析效率均是或接近１００％,故是ＨＣｓ天然源较为理想的采样装置,小钢瓶和采样袋内壁吸附严重,气袋自身还不断释放一些Ｃ６以上碳氢化合物,不适于ＨＣｓ天然源采样,但采样袋可用于Ｃ５以下烃类的采集和贮存。     

Sorption kinetics of parent and substituted PAHs for low-density polyethylene (LDPE): Determining their partition coefficients between LDPE and water (KLDPE) for passive sampling

Low-density polyethylene (LDPE) has been widely used as a sorbent for passive sampling of hydrophobic organic contaminants (HOCs) in aquatic environments. However, it has seen only limited application in passive sampling for measurement of freely dissolved concentrations of parent and substituted PAHs (SPAHs), which are known to be toxic, mutagenic and carcinogenic. Here, the 16 priority PAHs and some typical PAHs were selected as target compounds and were simultaneously determined by gas chromatography–mass spectrometer (GC–MS). Some batch experiments were conducted in the laboratory to explore the adsorption kinetics of the target compounds in LDPE membranes. The results showed that both PAHs and SPAHs could reach equilibrium status within 19–38?days in sorption kinetic experiments. The coefficients of partitioning between LDPE film (50?μm thickness) and water (K_LDPE) for the 16 priority PAHs were in good agreement with previously reported values, and the values of K_LDPE for the 9 SPAHs are reported in this study for the first time. Significant linear relationships were observed, i.e., log K_LDPE?=?0.705?×?log K_OW?+?1.534 for PAHs (R²?=?0.8361, p?<?0.001) and log K_LDPE?=?0.458?×?log K_OW?+?3.092 for SPAHs (R²?=?0.5609, p?=?0.0077). The selected LDPE film was also proven to meet the condition of “zero sink” for the selected target compounds. These results could provide basic support for the configuration and in situ application of passive samplers.     

被动采样监测遂宁市NO2时空分布特征

采用被动扩散采样技术,在遂宁市辖区16km×16km网格区域内开展了为期1a的环境空气NO2监测,分析了不同时空内的NO2浓度变化趋势。研究表明：NO2浓度季节变化规律是：冬季〉春季〉秋季〉夏季;在全市各个区域中,浓度最高值出现在全市工业集中及车流量较大的区域（船山区）;受遂宁市污染源整体布局以及主导风向（西北风）的影响,全辖区范围内NO2呈现西北低、东南高的趋势。     

大气氢氟碳化物采样分析和质量控制方法研究

用自组装采样系统冲洗双口不锈钢采样罐,并采集大气样品至1.36×105 Pa,在实验室利用自组装气相色谱-质谱联用(GC-MS)系统分析样品,对6种主要氢氟碳化物(HFCs)分析精度为0.24%~1.02%.空白实验表明,采样-分析过程未引入污染.通过压力-体积曲线对进样压力变化的影响进行了校正.回收率实验及存储实验表明,6种HFCs回收率范围为99.5%~100.4%,存储112d内HFCs浓度没有显著变化.在北京上甸子区域大气本底站采集80m梯度塔顶大气样品并分析,2个串联采样罐HFCs浓度差值范围为0.04×10-12~0.16×10-12.采样分析与同期该站GC-MS在线观测系统获得的HFCs浓度差值范围为-0.17×10-12~-0.86×10-12.本研究建立的采样-分析-质量控制方法和流程适用于大气中HFCs高精度观测.     

水质自动监测系统维护及管理工作谈

通过对辽河珠尔山家水质自动监测站日常维护工作经验的积累,针对铁岭地区水质长年变化的规律,形成一套水质自动监测系统操作和维护办法,为以后开展水质自动监测工作提供依据。     

藏东南察隅河上游流域大中型兽类动物资源现状和保护

从2001年8月到2002年8月对藏东南察隅河上游流域内的大中型兽类动物资源现状进行了野外调查,对其捕猎状况进行了社区调查。主要调查了灵长目、食肉目和偶蹄目共21种动物,确认了一物种分布新记录。调查发现,数量最多的是羚牛、鬣羚等偶蹄类动物,种类数量最多的是食肉类动物,但其数量稀少,有的可能已经灭绝。调查发现,捕猎是威胁当地野生大中型动物生存的最直接和最大的因素,另外,它们还受到林区人为活动和栖息地破坏等不利因素的威胁。论文把保护当地野生动物与发展当地经济结合起来考虑,并提出了6点保护建议。     

被动采样法测定环境空气中的二氧化氮

用被动采样方法吸收空气中的ＮＯ２，经实验室和野外实验证明，该方法测得的ＮＯ２浓度对渗透管发生的ＮＯ２浓度的相关系数为０．９９９５。用七个相同的采样器在相同时间、相同地点测得的ＮＯ２浓度的相对标准偏差为３．６％。当ＮＯ２浓度为５０μｇ／ｍ＾３左右时，采样周期可长达一个月。该方法可用于大气环境中１０μｇ／ｍ＾３ＮＯ２日平均浓度的测定。     

Comparison of receptor models for source apportionment of volatile organic compounds in Beijing, China

Identifying the sources of volatile organic compounds (VOCs) is key to reducing ground-level ozone and secondary organic aerosols (SOAs). Several receptor models have been developed to apportion sources, but an intercomparison of these models had not been performed for VOCs in China. In the present study, we compared VOC sources based on chemical mass balance (CMB), UNMIX, and positive matrix factorization (PMF) models. Gasoline-related sources, petrochemical production, and liquefied petroleum gas (LPG) were identified by all three models as the major contributors, with UNMIX and PMF producing quite similar results. The contributions of gasoline-related sources and LPG estimated by the CMB model were higher, and petrochemical emissions were lower than in the UNMIX and PMF results, possibly because the VOC profiles used in the CMB model were for fresh emissions and the profiles extracted from ambient measurements by the two-factor analysis models were "aged".