Bivalve mollusks in metal pollution studies: From bioaccumulation to biomonitoring

Contemporary environmental challenges have emphasized the need to critically assess the use of bivalve mollusks in chemical monitoring (identification and quantification of pollutants) and biomonitoring (estimation of environmental quality). Many authors, however, have considered these approaches within a single context, i.e., as a means of chemical (e.g. metal) monitoring. Bivalves are able to accumulate substantial amounts of metals from ambient water, but evidence for the drastic effects of accumulated metals (e.g. as a TBT-induced shell deformation and imposex) on the health of bivalves has not been documented. Metal bioaccumulation is a key tool in biomonitoring; bioavailability, bioaccumulation, and toxicity of various metals in relation to bivalves are described in some detail including the development of biodynamic metal bioaccumulation model. Measuring metal in the whole-body or the tissue of bivalves themselves does not accurately represent true contamination levels in the environment; these data are critical for our understanding of contaminant trends at sampling sites. Only rarely has metal bioaccumulation been considered in combination with data on metal concentrations in parts of the ecosystem, observation of biomarkers and environmental parameters. Sclerochemistry is in its infancy and cannot be reliably used to provide insights into the pollution history recorded in shells. Alteration processes and mineral crystallization on the inner shell surface are presented here as a perspective tool for environmental studies.     

湖南省水土流失及其危害

目前湖南省水土流失面积已由50a前的1.87万km2增加为4.40万km2,占全省土地总面积的20.8％。水土流失为中等以上的县市占全省的比例达到了60％。湖南省水土流失以面蚀为主,水土流失日趋严重。水土流失主要有以下危害降低土壤肥力,加剧旱洪灾害尤其是湖区的洪涝灾害,降低水利工程效益和阻碍水上交通。由此可见,水土保持工作不仅关系到湖南山区的经济发展和广大山区人民的脱贫致富,还关系到保护环境、资源和洞庭湖区的长治久安问题。     

生命线系统的震害耦联

在震害分析时,弧立地评价一个生命线系统的功能,不考虑与其它生命线系统间的耦联关系,可能会低估地震造成的损失。将地理信息系统（ＧＩＳ）与现有的震害预测方法结合起来,有利于推动新方法的研究。本文在ＧＩＳ环境下定义了网络失效率,提出了一种考虑不同生命线系统之间耦联关系的震害分析方法,给出了一个算例,并建议了相应的生产能力相关的震后应急抢修决策方案。     

春节燃放烟花爆竹对南京气溶胶细粒子的影响

根据南京城区草场门与远郊固城湖大气观测点PM2.5质量浓度及组分监测结果,分析了2012年春节期间烟花爆竹燃放对城市气溶胶细粒子的影响。结果表明,春节除夕和初五烟花爆竹集中燃放时段,草场门观测点PM10和PM2.5均出现同步异常突升,且细颗粒物占比较大,PM2.5最大峰值同比远郊固城湖观测点分别高出2.79倍和6.02倍;PM2.5各化学组分中,城区草场门观测点水溶性离子K^＋、Cl^-和SO4^2＋以及微量元素K、Al、Mg、Fe、Ba等值同比远郊固城湖明显偏高,春节烟花爆竹燃放对南京城区空气质量影响显著。     

上海市浦东新区大气降水化学组分及其相关性分析

依据上海市浦东新区2010—2015年2个代表性采样点的142份监测数据,对降水中的化学组成及各组分间的相关性进行了分析。结果表明,监测期间单次降雨的pH值为3.85~6.09,平均值为5.09,属硫酸型/硝酸型复合污染酸雨。其中SO_4~(2-)和NO_3~-为主要离子,平均值分别为4.55和3.31 mg/L。通过SPSS统计分析得出,人类生活和生产过程以及海洋源是浦东新区大气降水化学组分的主要来源,但仍存在不同的区域特征。     

环境污染物快速检测技术的国内外研究进展

介绍了环境污染物的分类与危害,基于目前国内外不同类型污染物快速检测技术的研究进展,综述了包括离子传感器、气体传感器和生物传感器等在内的化学传感器选择性强、成本低廉、可检测痕量污染物的优势,以及便携式检测设备节省时间、避免样品采集、应用领域广泛的特点,并提出了污染物快速检测技术的未来发展方向。     

化工园区污水特征分析及生物毒性研究

对天津市某化工园区9个主要污染企业及总排放口的废水进行监测分析,测定了12项水质常规指标和8项重金属指标,采用主成分分析法和生物毒性测试对化工区废水的水质进行了综合评价。结果表明,水质指标中大部分常规项目(如COD、氨氮和重金属含量)在多数企业污水中都符合排放标准,总氮、总磷污染较重,其中磷的污染最严重,最高超标23.83倍;影响污水性质的第一主成分为氯化物、电导率、全盐量和Cr,第二主成分为溶解氧、悬浮物、氨氮、总氮、总磷和As;废水具有一定的生物毒性,且不同化工企业之间毒性差异较大。水质化学测定的结果和生物毒性程度有一定相关性,但也存在差异,应该结合两者综合评价水质污染特征。     

城市不同区域空气冷凝水的化学组成

采集了5个不同区域的空气冷凝水样品,检测了其化学成分。结果显示,空气冷凝水的化学成分在不同区域存在着明显差异,5个区域各类化学物质总量的关系是,阴阳离子：城区〉工业〉道路〉城郊〉景区;微量元素：工业〉城区〉道路〉景区〉城郊;总有机碳（TOC）：城区〉景区〉道路〉工业〉城郊;总无机碳（TIC）：景区〉城区〉道路〉工业〉城郊;物质总量：城区〉工业〉道路〉景区〉城郊;其质量浓度分布与区域内的空气污染状况密切相关,大部分物质的质量浓度日间低于夜间。     

青岛市环境空气中VOCs的污染特征及化学反应活性

利用2012年青岛市挥发性有机物(VOCs)监测数据,系统分析了VOCs的污染特征、来源和化学反应活性。结果表明,青岛市VOCs浓度处于较低水平,且烷烃是VOCs的主要组分,占60%以上。夏、秋季的VOCs浓度高于春、冬季,且9月的浓度高于其他月份,日变化呈现"两峰一谷"趋势,与交通早晚高峰对应。VOCs各组分均表现出周末效应,说明机动车源和工业源的重要影响,优势物种的相关性分析进一步证明了这一点。对比各组分的OH消耗速率,得出烯烃的臭氧生成贡献高于烷烃和芳香烃,控制机动车尾气、溶剂挥发、化石工业等VOCs排放源将有利于降低大气中的臭氧浓度。     

One-dimensional model for biogeochemical interactions and permeability reduction in soils during leachate permeation

This paper uses the findings from a column study to develop a reactive model for exploring the interactions occurring in leachate-contaminated soils. The changes occurring in the concentrations of acetic acid, sulphate, suspended and attached biomass, Fe(II), Mn(II), calcium, carbonate ions, and pH in the column are assessed. The mathematical model considers geochemical equilibrium, kinetic biodegradation, precipitation-dissolution reactions, bacterial and substrate transport, and permeability reduction arising from bacterial growth and gas production. A two-step sequential operator splitting method is used to solve the coupled transport and biogeochemical reaction equations. The model gives satisfactory fits to experimental data and the simulations show that the transport of metals in soil is controlled by multiple competing biotic and abiotic reactions. These findings suggest that bioaccumulation and gas formation, compared to chemical precipitation, have a larger influence on hydraulic conductivity reduction.