土壤环境机械组成特征及其分布规律

通过对甘肃省土壤环境机械组成的调查研究,较全面、系统地获得了各种土质各区域的土壤环境机械组成,找出了甘肃省土壤环境机械组成特征及其分布规律。     

中国土壤环境监测的现状、问题与对策 (续)

通过对中国土壤环境监测现状的分析评价，提出了未来需要建立的土壤环境监测技术体系和需要重点开展的土壤环境监测科研领域。     

中国土壤环境调查、评价与监测

介绍了近半个多世纪以来中国土壤环境调查情况,对20世纪50年代、80年代全国土壤调查情况进行了描述,阐述了2006年以来全国土壤污染状况调查情况。结合土壤环境现状、土壤监测与评价存在的问题,对未来中国土壤监测规划进行了展望。提出了确定土壤环境监测国控点,构建国家土壤环境监测网,落实土壤环境例行监测的监测思路,以进一步推进土壤环境监测和保护。     

瑞士土壤环境监测网络构建与运行对中国的启示

“十三五”期间,中国初步构建了国家土壤环境监测网并开展了监测工作。当前,国家层面土壤环境监测网络的构建和运行还处于起步阶段,笔者选取土壤环境监测开展较为成熟的瑞士土壤环境监测网(NABO)作为研究对象,综述了NABO的技术体系及多年来的土壤环境监测结果,并结合中国土壤环境监测工作现状进行讨论,认为NABO在监测网络建立、指标选取、数据分析等方面建立了较为成熟的技术体系,未来中国国家土壤环境监测网可在此方面借鉴瑞士经验。     

浅谈我国土壤环境质量监测

简述了我国土壤环境污染状况及国家对保护土壤环境的目标要求,回顾了全国土壤环境质量监测历程。着重介绍了“十二五”期间将开展的全国土壤环境质量例行试点监测基本情况,并分析了我国土壤环境质量监测目前存在的问题,提出了加强我国土壤环境监测监管能力建设,建立健全土壤环境保护法律体系和全面提升公众土壤环境风险防范及保护的建议。     

关于中国土壤环境监测分析方法标准的思考与建议

研究了中国土壤环境监测分析方法标准发展历程及现状。根据现行土壤环境监测分析方法标准的类型、数量和污染物控制项目,以及中国土壤环境监测分析方法标准的特点,分析了中国土壤环境监测分析方法标准存在的问题和不足。结合当前土壤环境管理需求,提出了完善中国土壤环境监测分析方法标准的建议:加快标准制修订,合理增加污染物项目的控制种类和检测方式;加强不同标准方法之间的可比性研究,使标准更具实用性和指导性;加大土壤监测技术基础性研究,借鉴国外先进经验,为标准制修订工作提供有力支撑。     

海南省省控土壤环境监测基础点位布设思路与方法

为满足新时期土壤污染防治管理要求,掌握海南省土壤环境质量状况及变化趋势,海南省亟需加强省控土壤环境监测基础点位布设,完善土壤环境监测网。通过梳理海南省土壤环境监测工作基础和监测网络构建情况,形成了省控基础点位布设思路、原则和方法,并应用GIS技术完成点位布设。海南省省控土壤环境监测基础点位基本覆盖了海南省农用地主要土壤类型和成土母岩,监测结果可以反映海南省农用地土壤环境质量整体状况。     

中国土壤环境监测的现状、问题与对策

通过对中国土壤环境监测现状的分析评价,提出了未来需要建立的土壤环境监测技术体系和需要重点开展的土壤环境监测科研领域。     

土壤环境监测中现场采集和实验室分析质量控制浅析

我国目前土壤污染问题非常严峻,土壤环境监测是保护土壤环境工作中重要的一环,对有效保护土壤环境尤为重要,是客观评估土壤保护工作的重要依据,也是制定土壤保护方案和指导土壤保护策略的重要参考。土壤环境质量监测工作包含一套科学的流程,文章对土壤环境质量监测过程中的现场样品采集、样品保存、样品流转和实验室分析环节的质量控制问题进行深入研究,为更好地开展土壤环境质量监测工作提供参考。     

基于广西河池市胁迫风险的土壤环境脆弱性评价

采用层次分析法划分了土壤环境各因素的敏感性和重要程度,从而建立起能科学表达土壤环境承载能力的土壤环境脆弱性评价体系。基于广西河池市指标数据,借助地理信息系统软件Arc GIS9.3、ENVI5.1、MATLAB7.0等计算平台对空间数据进行模型训练与验证,得出可视化表征土壤环境脆弱性空间分布状况的评价图件。结果表明,河池市北部、南部存在高度脆弱区,占全市国土面积的36.3%,中度脆弱区占38.3%,低度脆弱区占25.4%。总体来看,河池市大部分区域的土壤环境属中高度脆弱。     

乌鲁木齐大气微生物污染研究

采用网格布点用自然沉降法同步采样，调查和研究乌鲁木齐建成区大气微生物浓度分布、污染现状及微生物污染类型特征．结果表明：乌鲁木齐市大气微生物以细菌为主导，占微生物总数的７９．５％，真菌约占２０．５％．建成区大气微生物达５级中污染水平．大气微生物污染分布与环境条件和环境质量都有一定关系。     

新疆生态可持续发展的主要制约因子及脆弱区域分析

自然生态系统的可持续发展是社会一经济系统可持续发展的基本保证,明确区域生态可持续发展的主要制约因子和生态脆弱区域是评价区域生态系统发展的可持续性、制定可持续发展战略及实施综合措施的关键步骤。本文分析了新疆生态可持续发展的主要制约因子和生态脆弱区域。结果表明,水资源危机、土地荒漠化、耕地资源危机及森林减少等是限制新疆生态可持续发展的主要制约因子;干旱绿洲-沙漠过渡地区和内陆河（湖）流域为重点生态脆弱区域。在此基础上,提出了新疆生态系统可持续发展的对策建议。     

千岛湖藻类及相关环境因子多元线性回归和鱼腥藻预测模型的建立

文章以千岛湖 1998～ 2 0 0 1年连续监测资料为基础 ,运用多元线性回归手段 ,以水温等 7项环境因子对叶绿素a、藻类细胞密度、鱼腥藻细胞密度作回归统计 ,建立多元回归方程 ,初步建立千岛湖蓝藻鱼腥藻细胞密度的预报模型。结果表明 ,水温和溶解氧是千岛湖藻类细胞密度的显著相关因子 ,在控制蓝藻鱼腥藻方面 ,削减入湖的 COD和磷元素总量具有现实意义     

Seasonal variations of heavy metal contamination in river Gomti of Lucknow city region

The present study deals with the seasonal variations in the concentrations of heavy metals namely chromium, lead and mercury by using spectrophotometric methods. The water samples were collected at regular intervals from five selected sites of river Gomti in the pre-monsoon period (months of February-May) and the post monsoon period (months of October-January). The concentrations of chromium (VI) and mercury (II) were determined by using Genesys-10 UV-VIS Spectrophotometer while lead (II) concentrations were determined using Atomic Absorption Spectrophotometer, Perkin-Elmer 5000 model. The concentrations of all the three metals were found to be higher in the pre-monsoon period than in the post-monsoon period. The statistical analysis of the data was discussed in both the seasons in terms of mean, standard deviation and coefficient of variation.     

不同地质条件下土壤重金属质量评价比较

对黎塘研究区不同地质条件下土壤重金属含量进行了分析和评价。结果表明,不同地层土壤以Mn含量最高,其次为Cr,石炭系下统岩关阶和泥盆系中统东岗岭阶土壤重金属含量较高,而白垩系下统小店组和第四系全新统土壤重金属含量较低。泥盆系中统东岗岭阶土壤重金属污染因子为Ni、As、Cr,综合质量级别为中等;石炭系下统岩关阶土壤重金属污染因子为Ni、As、Cr、Cu,综合质量级别为很坏;白垩系下统土壤污染因子为Cr,综合质量级别为警戒级;第四系全新统土壤重金属质量级别均为好,综合质量级别为好。     

profiling areas of ground water contamination by pesticides in california: phase ii – evaluation and modification of a statistical model

A well sampling study was conducted to evaluate anempirical approach to classifying areasof land in California as vulnerable to ground watercontamination by pesticides (Troiano et al., 1994). Wells were sampled from sections of land that had noprevious detections of pesticideresidues. The sections had been classified into vulnerablesoil clusters or into a not-classified groupusing a procedure based on Principal Components Analysis(PCA). Grape, citrus, and olive growingareas of Fresno and Tulare Counties were targeted, areas wherepre-emergence herbicide residues hadbeen detected in well water. Overall, herbicide residues weredetected in 75 of 176 sampled wells, ahigh frequency of detection in relation to results fromprevious targeted well sampling studies. Sinceresidues were also detected in the not-classified group, theclassification procedure was modified usingan approach based on Canonical Variates Analysis (CVA). Moresections were classified intovulnerable soil clusters with the CVA approach than with thePCA method. Data from two otherexplanatory variables, depth to ground water and amount ofpesticide used per section, were includedto illustrate how additional information can be incorporatedinto this approach of identifying vulnerable areas.     

Assessing the effects of domestic and international energy scenarios and emission reduction strategies on acidification in Finland

An integrated model system was developed and used to assess the effects of alternative energy production scenarios and reduction policies on acidification of lakes and forest soils in Finland. The analysis covered different energy scenarios and resulting emissions of sulfur oxides and nitrogen oxides in Finland, as well as ammonia emissions with various control requirements. In addition, emission reduction scenarios of varied ambition levels in the bordering areas of Finland and in other parts of Europe were included in the analysis. The impacts of the different scenarios were quantified with exceedances of critical loads for acidification and with the total areas where the critical loads are exceeded. The possibilities for reducing the areas with critical load exceedances with national or bilateral measures were investigated. The differences in areas at risk, if depositions from domestic and nearby sources are estimated with a regional model and point-source databases or with a continental scale model and coarser-scale emission data, were analyzed. The reasons for the differences and the implications for national-level assessment are discussed.     

A two-column method for long-term monitoring of non-methane hydrocarbons (NMHCs) and oxygenated volatile organic compounds (o-VOCs)

A method has been developed for concurrent analysis of C2-C7 hydrocarbons and C2-C5 oxygenated volatile organic compounds (o-VOCs) including alcohols, aldehydes, ketones and ethers. A multi-bed, Peltier-cooled adsorbent trap, consisting of Carboxen 1000 and Carbopack B, was used to acquire one sample per hour. Upon injection the sample was split in an approximately 50:50 ratio between a 50 m aluminium oxide (Al2O3) porous layer open tubular (PLOT) column and a 10 m LOWOX column. Eluents from each column were then analysed using flame ionisation detection (FID). Regular calibration of the system was performed using a standard cylinder mixture at the parts per billion by volume (ppbV) level for non-methane hydrocarbons (NMHCs) and a permeation tube method for the oxygenated species. The system is fully automated with NMHC detection limits between 1 and 10 parts per trillion by volume (pptV) and o-VOC detection limits between 10 and 40 pptV.     

超声提取-离子色谱法测定常见土壤中的高氯酸盐

建立了测定土壤中高氯酸盐的离子色谱法,通过前处理条件优化和色谱条件优化形成准确高效的测定方法,并采集实际土壤样品进行实验验证。称取 1.00 g土壤样品,用20 mL超纯水混合均匀,超声提取40 min,离心后采用水系微孔滤膜过滤的前处理方式,土壤中高氯酸盐的加标回收率最稳定;在淋洗液浓度和流速都满足测定条件的前提下,为了缩短高氯酸盐的保留时间,避免复杂基质干扰,延长淋洗液发生器的使用寿命以及保护色谱柱,选择淋洗液浓度为40 mmol/L,流速为1.0 mL/min。在优化条件下,高氯酸盐的方法检出限为0.04 mg/kg。实际样品加标中高氯酸盐的相对标准偏差为1.9%~8.8%,加标回收率为91.0%~106%,结果表明离子色谱法测定土壤中高氯酸盐简单、灵敏、快速。     

The characteristics of size distribution of suspended particulates in the air for sulphates and selected metals in different areas and seasons

The characteristics of the distribution of particles by size were investigated for sulphates and selected metals (Pb, Fe, Mn, and Cu) in the air in two urban and an industrial area during the winter and summer periods using an Andersen cascade impactor.In the case of metals, but not sulphates, the character of the area affected the value of mass median diameter. Lowest values were obtained in a sparsely populated urban area, whereas in a densely populated urban area and in the industrial area the values were higher.In the industrial area a high correlation coefficient was found between sulphate and manganese, and between sulphate and lead, as well as a high value of the equivalent Mn²⁺/SO _inf4 ^sup2- ratio for the total sample. It may therefore be assumed that in the industrial area manganese produces a catalytic effect on SO₂ conversion to sulphate. Among the investigated metals lead stands out as a dominant cation which binds to the sulphate ion in the industrial and densely populated areas.