水体中泥沙对藻类光谱特征位置的影响分析

自然水体叶绿素a浓度的遥感反演中,泥沙的存在影响着反演精度.如何消除这种影响是提高叶绿素a遥感反演精度的关键,而了解泥沙对藻类光谱特征的影响是消除影响的前提.文章在人工控制条件下获取了不同泥沙浓度下藻类光谱曲线,通过分析光谱曲线特征位置的漂移和数值变化,总结泥沙对藻类光谱的影响并提出了消除影响的可能性.     

高效液相色谱法测定土壤中三嗪类除草剂

建立了索氏提取、中性氧化铝小柱净化、高效液相色谱二极管阵列检测器测定土壤中7种三嗪类除草剂的方法,优化了检测波长、提取方法和溶剂、梯度淋洗程序等试验条件。7种三嗪类除草剂在0．10mg／L～2．00mg／L范围内线性良好,检出限为0．84μg／kg～2．07μg／kg,RSD为1．2％～5．6％,加标回收率为95.0％～107％。     

A New Approach to Plant Diversity Assessment Combining HPLC Data, Simplex Mixture Design and Discriminant Analysis

The quantitative assessment of plant diversity and its monitoring with time represent a key environmental issue for management and conservation of natural resources. Assessment of plant diversity could be based on chemical analyses of secondary metabolites (e.g. flavonoids, terpenoids), because of the substantial quantitative and qualitative between-individual variability in such compounds. At a geographical scale, the plant populations become widely dispersed, and their monitoring from numerous routine individual analyses could become restricting. To overcome such constraint, this study develops a multivariate calibration model giving the relative frequency of a particular taxon from a simple high-performance liquid chromatography (HPLC) analysis of a plant mixture. The model was built from a complete set of mixtures combining different taxons, according to an experimental design (Scheffé’s matrix). For each mixture, a reference HPLC pattern was simulated by averaging the individual HPLC profiles of the constitutive taxons. The calibration models, based on Bayesian discriminant analysis (BDA), gave statistical relationships between the contributions of each taxon in mixtures and reference HPLC patterns of these mixtures. Finally, these models were validated on new mixtures by using outside plants. This new biodiversity survey approach is illustrated on four chemical taxons (four chemotypes) of Astragalus caprinus (Fabaceae). The more differentiated the taxon, the better predicted its contributions (in mixtures) were by BDA calibration model. This new approach could be very useful for a global routine survey of plant diversity.     

重金属光谱分析仪与原子吸收光谱测定土壤中的重金属

采用重金属光谱分析仪与原子吸收光谱测定土壤中的Cr、Cu、Ni、Pb、Zn和As六种金属,结果发现,重金属光谱分析仪对Cu、Pb、Zn和As四种金属的检测结果较为理想,与原子吸收光谱的检测数据接近,误差可满足现场检测的要求.重金属光谱分析仪测定方法简便,操作简单,省时省力,可满足大部分重金属检测的要求.     

钼矿区周边农田土壤中重金属污染状况的分析与评价

对钼矿区周边农田土壤重金属污染情况进行了详细研究.选择该矿区受污染农田土壤样本80个,采用HNO3-HF-HClO4混酸对土壤样品进行处理,运用欧共体参比司推荐的BCR三步连续提取法进行化学形态分析;使用等离子体发射光谱仪(ICP-AES)测定土壤样品中Mo、Pb、As、Hg、Cr、Cd、Zn、Cu、Ni的全量及各种化学形态的含量并进行评价,同时对矿区地下水进行分析;采用spas软件进行数据分析.结果表明,矿山周边农田土壤重金属主要污染物为Cd、Hg并伴有Cr污染;Nemerow综合指数6.81,综合评价结果为该区土壤已受严重污染;Cd与As污染来源基本相同,Cu、Ni、Zn污染来源基本相同,Hg有独立的污染来源;重金属中化学形态分布为残余态>有机结合态>氧化结合态>酸可提取态;重金属Cr及Hg的有效态比例较大,可能会影响农作物的正常生长;矿山周边农田土壤重金属污染的原因可能是污染地下水的浇灌,矿石的开采、运输和大气降尘等过程;有机农药及塑料农用制品的施用过程,自然成土、矿物的伴生及其转化等过程.     

黔西北土法炼锌矿区重金属污染现状及其环境影响评价

在对黔西北土法炼锌四个矿区周围的土壤和植物(蔬菜和作物等)进行全面调查的基础上,对土壤和植物重金属(Zn、Cd、Pb、Cu和As)污染现状进行了监测与初步评价.结果表明,四个土法炼锌矿区除野马川的土壤属于中度污染外,其余全部处于严重污染状态,并且Cd是每个矿区的主要污染元素;土法炼锌矿区周围的蔬菜已全部受到严重污染,综合污染指数在10.83～40.67之间,属于重度污染,蔬菜污染主要以Cd为主,超过国家食品卫生标准54倍;矿区周围其他植物如土豆、玉米和绿肥等中的重金属亦严重超标,主要以Pb污染为主,超过国家食品卫生标准366.75倍.说明矿区土壤中种植作物的生长及食用安全已经受到重金属污染的严重影响,对居民健康构成潜在威胁.     

微波-亚临界水萃取底泥中两种多氯联苯的研究

微波亚临界水萃取模拟土样中的2,3-二氯联苯和3,3′-二氯联苯,用气相色谱进行分析。与亚临界水萃取方法相比,该法缩短了萃取时间,分析物的萃取回收率有所提高。对微波亚临界水的萃取条件进行优化,确定了最佳萃取条件为时间20min、温度区段为210℃～225℃。方法对长江镇江段内江的底泥中的多氯联苯进行分析,测定结果与索氏提取-GC分析结果吻合,且不受底泥中腐殖质等有机物影响。     

无污染农产品对土壤铅环境质量标准要求的变化——个案研究

研究了江苏南通某乡镇土壤铅的污染以及水稻对土壤铅的吸收。结果表明,研究区土壤与稻米铅污染严重。通过盆栽实验建立了水稻对铅的吸收积累及评估模型,提出了符合该地区大米安全生产的土壤铅临界含量值,为土壤铅环境质量标准的研究提供了参考实例。同时结合国内外环境质量标准的对比,提出无污染农产品对土壤铅环境质量标准要求的变化,建议制/修订土壤铅环境质量标准值。土壤环境二级标准值由现行的250～350mg/kg改为80mg/kg。     

北京公园水体中邻苯二甲酸酯类物质的测定及其分布特征

为了正确评估北京市公园水体受PAEs污染的程度,采集了北京11个公园湖水的水样,采用固相萃取-气相色谱联用技术检测了其中六种邻苯二甲酸酯类物质(PAEs)的含量,该方法加标回收率在73%～89.3%,RSD为5.9%～18.1%,检出限在0.40～4.58mg/L。实验结果为北京公园水体中总PAEs浓度在6.4～138.1μg/L,平均值为27.9μg/L,证明北京公园水体受到不同程度的PAEs污染,主要的污染物为邻苯二甲酸二丁酯(DBP)和邻苯二甲酸双(2-乙基己基)酯(DEHP),其中东南部以及西北部的公园污染较严重。分析了PAEs在公园湖水底泥中和水体中的分布特征,结果显示,PAEs在湖水底泥中的含量明显大于在水体中的含量。     

Principal component analysis for soil contamination with organochlorine compounds

In order to investigate the distribution pattern of individual organochlorine compounds in soil samples collected from the sites (Canary Island – Spain, China, Germany, India, Romania, Russia, Serbia, Swiss, UK) affected by industrial activities to the more remote areas, principal component analysis was performed on the data taken from literature. Loading plots pointed out the strong correlation among the variables. Score plots revealed similar PCB- and OCP-soil patterns for majority of the investigated sites. Nevertheless, the temporal differences of PCB-soil loads have been identified: the late 1990s and early 2000s concentrations are similar to those of the early 1940s, and they are below the levels existed in 1980. The most pronounced PCB concentrations characterized the soil from 1966. For OCPs the influence of sites location on the detected concentration has been revealed: China and India were characterized by comparably higher loads of DDX (DDT and its metabolites) and of HCH-isomers, respectively.