敏感地图在美国石油泄漏环境应急管理中的应用

阐述了美国敏感地图项目的设计理念、地图集数据结构与产品组成,分别讨论了其在敏感资源保护策略的设计与制定、区域环境分析和污染风险评价,以及污染源管理等领域的应用。提出将敏感地图应用于我国海洋、河流、湖泊的生态环境评价、事故响应预案编制、事故责任与损失评估,为提升环境保护水平提供科学的借鉴平台。     

挥发酚在线监测技术在苏州市水源地预警监测的应用

酚污染正严重威胁着饮用水源地的供水安全,迫切需要开展挥发酚实时预警监测。从挥发酚在线监测系统构架、监测方法验证、在线监测功能完善、运维周期及成本核算、应急预警功能实现等方面,介绍了挥发酚在线监测技术在苏州市饮用水源地的应用经验,以期进一步完善水源水预警监测体系。     

室内外空气污染对学龄儿童呼吸系统影响的研究

通过对污染区和对照区 2 0 0 0多名学龄儿童呼吸系统症状、疾病患病率比较 ,并运用非条件 Logistic回归分析方法 ,就室内外空气污染对学龄儿童呼吸系统健康的影响 ,进行了研究。结果显示 ,污染区室内外空气污染较严重 ,大气中TSP、SO2 和 NOx 的浓度均超过国家二级标准 ,其儿童呼吸系统症状、疾病患病率明显高于对照区。对儿童呼吸系统发病有显著影响的环境因素是 :大气污染、被动吸烟、家庭燃煤、冬季取暖和室内油烟污染程度。其中咳嗽与以上五个因素有显著的正相关关系 (P<0 .0 5) ;除被动吸烟外 ,支气管炎与其它四个因素呈显著正相关 (P<0 .0 5) ;咳痰与大气污染、被动吸烟、冬季取暖和室内油烟污染程度 ,气喘和呼吸系统疾病住院率与大气污染和室内油烟污染正相关关系显著 (P<0 .0 5)。哮喘与室内外空气污染无显著的统计学联系     

环境空气中细颗粒物自动监测手工比对的质量控制

简述了国内、国际细颗粒物比对监测工作的概况,对南通市细颗粒物比对监测工作进行了分析,对目前细颗物比对监测过程中存在细颗粒物污染状况对数据有效性的影响,以及温、湿度对自动监测数据的影响等问题,提出了对策建议。     

2017年除夕至初一期间湖南省城市环境空气污染特征分析

对2017年除夕至初一期间（1月27—28日）,湖南省14个市州的78个城市环境空气自动监测站点数据进行了分析。结果表明,烟花爆竹的集中燃放会在短时间内造成严重的大气污染,其中,对PM₁₀和PM_2.5影响最为显著,其次是SO₂,NO₂和O₃受影响程度相对最小。集中燃放烟花对PM₁₀和PM_2.5的小时值增长倍数贡献明显。对全省14个城市PM₁₀和PM_2.5的小时值最大贡献量分别为195～652和116~680 μg/m³;最大增高倍数分别为1.8~10.5倍和2.2~15.8倍。其中对郴州市的影响程度最高。城市集中燃放烟花爆竹期间,ρ（PM_2.5）/ρ（PM₁₀）明显上升,初一01:00最大值为0.69。气象条件也是影响春节期间空气质量的重要因素,风速小、逆温强、湿度大和无降水等不利气象条件使污染物浓度不断累积,形成持续性污染过程。     

固定化菌藻系统对污水处理厂出水的深度处理

将海藻酸钠固定化活性污泥和小球藻制成颗粒小球,以自制的流化床反应器对重庆市某污水处理厂出水进行深度处理,探讨了系统对氨氮、TP、COD的去除效果,实验结果表明:在HRT=12 h,溶解氧浓度为3.0 mg/L左右,pH值为6.2至8.0之间,环境室温条件下,系统对氨氮、TP、COD均有较好的去除效果,系统稳定运行后对氨氮、TP、COD去除率基本维持在60%、60%和30%以上,出水氨氮、TP、COD浓度基本维持在8、0.5和40 mg/L以下,出水浓度达到了《城镇污水处理厂污染物排放标准》(GB 18918-2002)的一级A标准。这项研究显示固定化菌藻胶球系统在污水处理厂出水的深度处理中具有潜在的应用前景。     

活性炭纤维低温脱除模拟烟气中的VOC

采用H2O2浸渍的修饰方法对ACF进行化学改性,并利用氮吸附等温线和XPS（X-ray photoelectron spectroscopy）的方法对ACF样品进行表征。通过在反应床上开展吸附实验,由此测定改性前后ACF脱除VOC（甲苯作为VOC的代表物）的效果,同时考察氧气、温度、水蒸气等因素对ACF脱除甲苯的影响。研究发现,改性使得ACF样品比表面积和孔容略有降低,但表面含氧官能团含量增加,吸附甲苯的能力也因此增强。当模拟烟气中O2浓度为5%时,ACF脱除VOC效果达到最佳,超过5%之后,氧的促进效果不再明显;温度40℃为最佳吸附温度;当烟气中加入水蒸气时,ACF对VOC的脱除效率降低。     

Using a physiologically based pharmacokinetic model to link urinary biomarker concentrations to dietary exposure of perchlorate

Exposure to perchlorate is widespread in the United States and many studies have attempted to character the perchlorate exposure by estimating the average daily intakes of perchlorate. These approaches provided population-based estimates, but did not provide individual-level exposure estimates. Until recently, exposure activity database such as CSFII, TDS and NHANES become available and provide opportunities to evaluate the individual-level exposure to chemical using exposure surveillance dataset. In this study, we use perchlorate as an example to investigate the usefulness of urinary biomarker data for predicting exposures at the individual level. Specifically, two analyses were conducted: (1) using data from a controlled human study to examine the ability of a physiologically based pharmacokinetic (PBPK) model to predict perchlorate concentrations in single-spot and cumulative urine samples; and (2) using biomarker data from a population-based study and a PBPK model to demonstrate the challenges in linking urinary biomarker concentrations to intake doses for individuals. Results showed that the modeling approach was able to characterize the distribution of biomarker concentrations at the population level, but predicting the exposure-biomarker relationship for individuals was much more difficult. The type of information needed to reduce the uncertainty in estimating intake doses, for individuals, based on biomarker measurements is discussed.     

Arsenic, copper, and zinc contamination in soil and wheat during coal mining, with assessment of health risks for the inhabitants of Huaibei, China

Field studies were conducted to investigate arsenic (As), copper (Cu), and zinc (Zn) contamination in agricultural soils and wheat crops at two areas in Huaibei, China. Area A is in the proximity of Shuoli coal mine. In area B, three coal mines and a coal cleaning plant were distributed. The potential health risk of As, Cu, and Zn exposure to the local inhabitants through consumption of wheat grains was also estimated. The results showed that significantly higher (p?<?0.05) concentrations of As, Cu, and Zn were found in soils collected from area B than in those from area A. Arsenic concentrations in wheat sampled from area A were negatively correlated with the distance from the coal mine (p?<?0.001). Concentrations of Cu and Zn in wheat seedlings and grains collected from area B were significantly higher (p?<?0.05) than in those collected from area A, with the exception of Zn in wheat seedlings. Concentrations of Cu and Zn in most wheat grain samples were above the permissible limits of Cu and Zn in edible plants set by the Food and Agriculture Organization/World Health Organization. The hazard index of aggregate risk through consumption of wheat grains was 2.3–2.4 for rural inhabitants and 1.4–1.5 for urban inhabitants. The average intake of inorganic As for rural inhabitants in Huaibei was above 10 μg day^?1. These findings indicated that the inhabitants around the coal mine are experiencing a significant potential health risk due to the consumption of locally grown wheat.