江苏省某镇土壤重金属污染评价

为了解江苏省某镇表层土壤重金属污染特征,采集并测定了190个土壤样品的As、Cd、Hg和Pb 4种重金属含量,分析土壤重金属的分布特征,综合运用内梅罗综合污染指数法和污染负荷指数法两种评价方法对土壤重金属污染状况进行评价。结果表明：该镇表层土壤中As、Cd和Pb含量平均值高于土壤背景值,Hg与之相反。4种重金属都是主要受到点源污染的影响,其中As的高含量区主要分布在镇的正西边,Cd和Pb的高含量区主要分布在镇的中心区域,Hg的高含量区主要分布在东部以及东北区域。经内梅罗综合污染指数法评价,安全、警戒线、轻污染、中污染和重污染样点的比例分别为5.79%、32.11%、52.11%、4.74%和5.26%。经污染负荷指数法评价,无污染、轻度污染、中度污染和重度污染样点的比例分别为73.69%、25.26%、1.05%和0%。在内梅罗综合污染指数法和污染负荷指数法评价的结果中,有55.26%的样点评价结果相同,而44.74%的样点不同,但都显示出污染程度从镇中心向四周逐渐降低的变化态势。     

地下水环境中反硝化作用

地下水氮污染已是全球性的环境问题 ,反硝化作用是地下水脱氮的主要机制。本文综述了地下水环境中反硝化作用的判据、速率、影响因素以及人工强化措施 ,指出了存在的问题和今后的发展方向     

重金属污染土壤中提高植物提取修复功效的探讨

随着对重金属超积累植物研究的加深 ,用植物提取修复技术来改良重金属污染的土壤已逐步进入实用阶段。本文所探讨的提高此技术功效的方法基于两个方面 :提高土壤溶液中重金属的浓度 ,促进植物对重金属的吸收 ;根据已了解的超积累的生理机制可能采取的一些措施     

小尺度农田土壤Pb、Zn和Cd空间分布及污染评价——以云南沘比江沿岸某农田为例

以沘江沿岸面积为96 000 m2的整片农田作为研究对象,采集144个表层土壤样本,利用ICP-MS测定土壤中Pb、Zn和Cd的含量,使用地统计学方法分析Pb、Zn和Cd的空间分布,采用污染负荷指数评价土壤Pb、Zn和Cd污染程度,并对污染来源进行解析。结果表明研究区域农田土壤中Pb、Zn和Cd含量均超过当地土壤背景值,出现了污染富积。根据国家土壤环境质量标准,Pb未超标,Zn超标率为98.6%,Cd超标率为100%。普通克里金空间插值分布图显示,Pb、Zn和Cd高含量区域均沿着省道227和靠近居民区分布,而临近沘江的区域Pb、Zn和Cd含量相对较低,其中Pb、Zn含量变化基本呈现由省道227向沘江方向递减规律。Pb、Zn和Cd之间具有较好的相关性,三者同源概率较大。对Pb、Zn和Cd的污染评价表明,研究区域农田土壤57.78%为中度污染,42.22%为重度污染。从污染负荷指数法（PLI）空间插值图可见,重度污染区域位于省道227沿线与居民区东侧区域,其余区域为中度污染。本研究结果说明,小尺度空间分析方法用于农田土壤污染状况的分析,能有效预测重金属空间分布情况,在土地紧缺的情况下,该方法能有效指导对农田的不同区域进行选择使用和精准管理。     

Analysis of the relationship between ambient levels of O3, NO2 and NO as a function of NOx in the UK

Monitoring data from the UK Automatic Urban and Rural Network are used to investigate the relationships between ambient levels of ozone (O₃), nitric oxide (NO) and nitrogen dioxide (NO₂) as a function of NO_x, for levels ranging from those typical of UK rural sites to those observed at polluted urban kerbside sites. Particular emphasis is placed on establishing how the level of ‘oxidant’, OX (taken to be the sum of O₃ and NO₂) varies with the level of NO_x, and therefore to gain some insight into the atmospheric sources of OX, particularly at polluted urban locations. The analyses indicate that the level of OX at a given location is made up of NO_x-independent and NO_x-dependent contributions. The former is effectively a regional contribution which equates to the regional background O₃ level, whereas the latter is effectively a local contribution which correlates with the level of primary pollution. The local oxidant source has probable contributions from (i) direct NO₂ emissions, (ii) the thermal reaction of NO with O₂ at high NO_x, and (iii) common-source emission of species which promote NO to NO₂ conversion. The final category may include nitrous acid (HONO), which appears to be emitted directly in vehicle exhaust, and is potentially photolysed to generate HO_x radicals on a short timescale throughout the year at southern UK latitudes. The analyses also show that the local oxidant source has significant site-to-site variations, and possible reasons for these variations are discussed. Relationships between OX and NO_x, based on annual mean data, and fitted functions describing the relative contributions to OX made by NO₂ and O₃, are used to define expressions which describe the likely variation of annual mean NO₂ as a function of NO_x at 14 urban and suburban sites, and which can take account of possible changes in the regional background of O₃.     

EuroBionet: a pan-European biomonitoring network for urban air quality assessment

EuroBionet, the 'European Network for the Assessment of Air Quality by the Use of Bioindicator Plants', is an EU-funded cooperative project currently consisting of public authorities and scientific institutes from 12 cities in 8 countries. In 2000, the bioindicator plants tobacco (Nicotiana tabacum Bel W3), poplar (Populus nigra 'Brandaris'), spiderwort (Tradescantia sp. clone 4430), Italian rye grass (Lolium multiflorum italicum) and curly kale (Brassica oleracea acephala) were exposed to ambient air at 90 monitoring sites according to standardised methods. Visible injuries and growth parameters were assessed and the accumulation of toxic substances in leaves determined. The exposure of tobacco resulted in a gradient with low levels of ozone-induced foliar injury in N and NW Europe, and medium to high values in the southern and central regions. The results of heavy metal and sulphur analyses in rye grass samples generally showed low to very low sulphur and low to medium heavy metal concentrations in leaves. In some cities, however, local hot spots of heavy metal contamination were detected. Analyses of the PAH contents in curly kale leaves gave low to medium values, with locally elevated levels at traffic-exposed sites.     

喷消石灰脱除垃圾焚烧炉尾气中HCl和SO2的试验研究

在日处理200t进口流化床垃圾焚烧炉上,进行烟气喷水降温加上喷消石灰粉末脱除尾气中的酸性气体HCl和SO2的试验研究,HCl和SO2浓度由布袋除尘器出口的在线气体分析仪测得,结果表明HCl和SO2的去除率在Ca/Cl摩尔比等于9时分别为80%和20%,说明该法消石灰利用率较低,宜改为半干法脱除HCl和SO2酸性气体,以便降低吸收剂用量,提高运行的经济性.     

Seasonal Fluctuation in Heavy Metal Pollution in Iran´s Siahroud River - A Preliminary Study (7 pp)

Background The management of its available water resources has become a key issue for Iran. During the last few decades, the water quality of Siahroud River in the coastal plain of the Caspian Sea in Gilan Province in Northern Iran has significantly degraded. The scarcity of water has been compounded by rapid population growth and increasing pollution from fertilizers, pesticides, and municipal and industrial wastes. One of the sources of this degradation is the movement of heavy metals from the river's watershed into the various water systems supported by the river, including the water system for Rasht City. Methods To study the magnitude of heavy metal pollution in the Siahroud River, seven heavy metals including Zn, Cu, Pb, Cd, Mn, Fe, and Ni were measured in duplicate from replicated water samples collected over five consecutive seasons and analyzed by Atomic Absorption Spectrometry. In situ measurements of pH were taken with the samples and total organic carbon (TOC) was analyzed by IR gas measurement. Results The results demonstrated that four of the seven heavy metals including Pb, Fe, Cd, and Mn exceeded permissible safe levels as established by the United States Environmental Protection Agency. Multivariate factor analysis suggested that industrial land-use was the main contributing factor for the high levels of Fe and Mn in the Siahroud River, whereas, Cd was principly from agricultural activities in the watershed. The data also suggested that pH and TOC had an important role in the behaviour of Pb and Mn, and that the elevated levels of these two heavy metals in Siahroud River was the consequence of other anthropogenic sources. Only negligible levels of Zn, Cu and Ni were detected. Finally, all the sampling stations were subjected to cluster analysis. The results indicated that three different zones could be distinguished according to the levels of pollution. In addition, it was shown that the urban areas did not have a significant impact on the heavy metal pollution in the river. This observation stems from the fact that the data from the sampling stations before and after Rasht City were not significantly different. Recommendation . Preventive measures need to be undertaken in the land-use systems and watersheds of the Siahroud River to reduce the pollution levels of Pb, Cd, Mn and Fe.     

中国蔬菜硝酸盐和亚硝酸盐污染因素及控制研究

本文综述了近十几年来我国城市蔬菜中硝酸盐和亚硝酸盐污染的研究结果,表明随着氮肥使用量的增大,蔬菜中硝酸盐污染较为严重而亚硝酸盐污染也不容忽视。探讨了蔬菜受硝酸盐和亚硝酸盐污染的影响因素及控制对策     

Trends of air pollution in the Fichtelgebirge Mountains, Bavaria

We analyzed 13 years of hourly measurements of SO₂, NO_x, and O₃, at forest ecosystem research sites in SE Germany. A quasi-continuous data record was obtained by combining data sets from two locations. Before interpreting trends in the combined data set, we analyzed if the change of location introduced a systematic bias. We employed autocorrelation functions, Hurst statistics, complexity analysis, and recurrence quantification and found that the partial data sets exhibited no indication of the presence of any bias. For SO₂, we also compared the data from the forest sites with data obtained in nearby cities and also found no indications for any systematic effects. Applying nonparametric trend statistics we found a significant decrease of the SO₂. Most of the observed decrease is due to the reductions of SO₂ emissions in eastern Germany, but reductions in western Germany and the Czech Republic also played important roles. For O₃, we observed a significant increase, the causes of which are unclear from our data alone. No trend was identified for NO_x.