大气气溶胶酸度和酸化缓冲能力研究

为了掌握大气气溶胶与酸性降水的关系 ,分析和研究了中国北方和南方不同观测点可吸入颗粒物 (PM10 )的酸度 ,并利用微量酸碱滴定的方法测定了其酸化缓冲能力。结果表明大气气溶胶具有一定的酸度 ,同时对酸化的缓冲能力非常低 ,甚至可以促进降水的酸化 ,这种污染特征也是上述观测点发生酸性降水的重要原因之一。     

环境中苯并(a)芘监测技术及建议

环境中BaP是引起人们各类癌症的主要诱发物.叙述了环境中BaP的来源及其浓度状况,列举了国家制定的各项标准中的BaP含量的浓度限值,论述了环境水中和空气中BaP的样品采集、保存、前处理、分析测定及定量监测中应注意的几个问题,提出了监测BaP的4点建议.     

Spatial succession modeling of biological communities: a multi-model approach

Strong spatial correlation may exist in the spatial succession of biological communities, and the spatial succession can be mathematically described. It was confirmed by our study on spatial succession of both plant and arthropod communities along a linear transect of natural grassland. Both auto-correlation and cross-correlation analyses revealed that the succession of plant and arthropod communities exhibited a significant spatial correlation, and the spatial correlation for plant community succession was stronger than arthropod community succession. Theoretically it should be reasonable to infer a site's community composition from the last site in the linear transect. An artificial neural network for state space modeling (ANNSSM) was developed in present study. An algorithm (i.e., Importance Detection Method (IDM)) for determining the relative importance of input variables was proposed. The relative importance for plant families Gramineae, Compositae and Leguminosae, and arthropod orders Homoptera, Diptera and Orthoptera, were detected and analyzed using IDM. ANNSSM performed better than multivariate linear regression and ordinary differential equation, while ordinary differential equation exhibited the worst performance in the simulation and prediction of spatial succession of biological communities. A state transition probability model (STPM) was proposed to simulate the state transition process of biological communities. STPM performed better than multinomial logistic regression in the state transition modeling. We suggested a novel multi-model framework, i.e., the joint use of ANNSSM and STPM, to predict the spatial succession of biological communities. In this framework, ANNSSM and STPM can be separately used to simulate the continuous and discrete dynamics.     

Spatial variability of soil heavy metals in the three gorges area: multivariate and geostatistical analyses

There is a growing concern about environmental contamination in the three gorges area. The objectives of this study were to investigate the spatial variability and the possible influence factors of seven heavy metals (As, Cd, Cr, Cu, Hg, Pb, and Zn) in the center of this area based on multivariate and geostatistical approaches. All analyzed heavy metals were below their background levels, except Cd. The average concentrations of the analyzed elements in topsoil (0-20 cm) were 5.83 mg As kg(-1), 0.21 mg Cd kg(-1), 78.79 mg Cr kg(-1), 21.53 mg Cu kg (-1), 0.049 mg Hg kg(-1), 24.12 mg Pb kg(-1), and 68.5 mg Zn kg(-1). The concentration of As was mostly due to parent materials, whereas the source of Pb was mainly due to vehicle exhaust. The high concentration of Cd was resulted from agricultural practices and parent materials. The concentrations of Cr, Cu, Hg, and Zn were associated with parent materials and human activities.     

Identification of sources of elevated concentrations of polycyclic aromatic hydrocarbons in an industrial area in Tianjin, China

The concentrations of 16 polycyclic aromatic hydrocarbons (PAHs) were determined by gas chromatography equipped with a mass spectrometry detector in 105 topsoil samples from an industrial area around Bohai Bay, Tianjin in the North of China. Results demonstrated that concentrations of PAHs in 104 soil samples from this area ranged from 68.7 to 5,590 ng g^???1 dry weight with a mean of ∑16PAHs 814 ± 813 ng g^???1, which suggests that there exists mid to high levels of PAH contamination. The concentration of ∑16PAHs in one soil sample from Tianjin Port was exceptionally high (48,700 ng g^???1). Ninety-three of the 105 soil samples were considered to be contaminated with PAHs (>200 ng g^???1), and 25 were heavily polluted (>1,000 ng g^???1). The sites with high PAHs concentration are mainly distributed around chemical industry parks and near highways. Two low molecular weight PAHs, naphthalene and phenanthrene, were the dominant components in the soil samples, which accounted for 22.1% and 10.7% of the ∑16PAHs concentration, respectively. According to the observed molecular indices, house heating in winter, straw stalk combustion in open areas after harvest, and petroleum input were common sources of PAHs in this area, while factory discharge and vehicle exhaust were the major sources around chemical industrial parks and near highways. Biological processes were probably another main source of low molecular weight PAHs.     

双三角解析法快速配制环境监测分析中的标准溶液

介绍了在环境监测分析中精确配制一定浓度标准溶液的快速方法。利用双三角解析法称量标准物质和配制标准溶液,实验过程快速、准确。在环境监测分析应用中取得较好效果,不确定度无显著差异。     

Investigations on boron levels in drinking water sources in China

To evaluate boron contamination of public drinking water in China, both dissolved and total boron contents in 98 public drinking water sources from 49 cities, 42 brands of bottled water samples from supermarkets in several cities, and 58 water samples from boron industrial area were measured by inductively coupled plasma-mass spectrometry (ICP-MS). Our experimental results showed that boron existed in public drinking water sources mainly in dissolved status with total concentrations ranging from 0.003 to 0.337 mg/L (mean = 0.046 mg/L). The mean boron concentrations in mineral and pure bottled water were 0.052 and 0.028 mg/L, respectively. The results obtained in this work showed that there was no health risk on view of boron in public drinking water sources and bottled water. In boron industrial area, boron concentrations in surface water and ground water were 1.28 mg/L (range = 0.007–3.8 mg/L) and 18.3 mg/L (range = 0.015–140 mg/L), respectively, which indicated that boron industry caused boron pollution in local water system.     

支撑环境监测预警体系的计算机信息系统建设思路

环境监测预警体系只有依靠计算机信息系统才能发挥其作用,根据预警体系的特点、内容以及要实现的功能,论述了信息系统硬件建设和软件建设的基本要求、系统的组成和系统实现的方法。     

基于集对分析的尾矿库安全评价研究

为更好地对尾矿库的安全状况进行综合评价,针对尾矿库的特点建立了指标体系,并采用层次分析法确定各指标权重.将集对分析理论用于尾矿库的安全评价,并通过实例证明该理论适合于尾矿库的安全评价.集对分析中差异度I取1和-1.研究表明,当I=1时,指标体系中所有处于"一般安全"状态的指标项经过整改后能处于"安全"状态,此时联系度μ=0.736,尾矿库处于"安全"状态; 当I=-1时,指标体系中所有处于"一般安全"状态的指标项,在安全管理水平下降的情况下全部转为"不安全"状态,此时μ=0.114,尾矿库处于"不安全"状态.I的不同取值可反映尾矿库的具体安全状态,同时也反映尾矿库的安全管理水平,并充分体现了安全管理的重要性.研究为尾矿库的安全评价提供了一条新途径.     

春节期间燃放烟花爆竹对西安市大气主要污染物质量浓度的影响

使用2002-2007年西安市环境监测站监测的5个功能区PM90、SO2和NO2污染物日平均质量浓度和2006年、2007年时平均质量浓度资料,分析了春节期间西安城区及郊区主要污染物近地面质量浓度的时空变化特征。结果显示：6年的PM10、SO2和NO2的春节期全市日平均质量浓度的平均值分别为0．2172mg/m^3、00678mg／m^3和0．0417mg/m^3,比春节前偏高54．3％、35.8％和14．5％,比春节后偏高73．6％、21．6％和37.8％;城区小寨PM10和SO2日平均质量浓度最大值分别达0．375mg/m^3和0．303mg/m^3;PM10时平均质量浓度最大值出现在郊区的草滩,高达0．759mg／m^3,SO2时平均质量浓度最大值出现在城区人口稠密的聚居区小寨,高达0．343mg／m^3。表明烟花爆竹燃放可导致近地面空气中PM10、SO2和NO2质量浓度上升,郊区的PM10上升最为显著,而城区PM10和SO2质量浓度上升均较为明碌;且烟花爆竹燃放对近地面污染物质量浓度的短时贡献可大大超出现有污染源的贡献,造成严重的大气污染。因此,春节期间有必要限制西安市烟花爆竹的燃放。