贵阳市城区土壤重金属分布特征及污染评价

调查了贵阳市不同功能区表层土壤中重金属含量及其分布特征,以基线为参比值,采用Hakanson潜在生态危害指数法对重金属的潜在生态风险进行了评价。结果表明,贵阳市城区土壤重金属(Hg、Cd、As、Pb、Cr、Cu、Ni、Zn)主要来源于工业、交通以及燃煤等活动,其平均含量分别为0.108、0.320、20.53、22.17、35.71、64.87、48.65、217.90mg/kg,除Cr外,均显著高于相应基线。工矿区土壤中Pb、Zn含量显著高于其他功能区(p0.05)。Hg和Cd是主要的生态危害因子,其污染已达强生态危害水平,其余均显示为轻微生态危害水平;不同功能区土壤重金属污染均已达强生态危害水平,且污染程度依次是:商务区工矿区文教区居民区城市绿地交通区。     

杭州市城市土壤中重金属、磷和其它元素的特征

Health implications of inhaling and/or ingesting dust particles with high concentrations of heavy metals from urban soils are a subject of intense concern. Understanding the geochemistry of these metals is key to their effective management. Total concentrations of heavy metals, phosphorus (P) and 8 other elements from topsoil samples collected at 82 locations in Hangzhou City were measured to: a) assess their distribution in urban environments; and b) understand their differentiation as related to land use. Metal mobility was also studied using a three-step sequential chemical fractionation procedure. About 8.5%, 1.2%, 3.6%, 11.0% and 30.3% of the soil samples had Cd, Cr, Cu, Pb, and Zn concentrations, respectively, above their allowable limits for public and private green areas and residential use. However, in commercial and industrial areas, most samples had metal concentrations below their allowable limits. Statistical analyses revealed that the 16 measured elements in urban soils could be divided into four groups based on natural or anthropic sources using a hierarchical cluster analysis. Additionally, Cu, Pb, and P showed similar spatial distributions with significant pollution in commercial zones, suggesting vehicle traffic or commercial activities as dominant pollutant sources. Also, Cd, Co, Cr, Ni, Zn, Mn and Fe had the highest concentrations in industrial locations, signifying that industrial activities were the main sources of these seven metals. Moreover, the data highlighted land-use as a major influence on heavy metal concentrations and forms found in topsoils with large proportions of soil Cd, Co, Cr, and Ni found in residual fractions and soil Cu, Pb and Zn mainly as extractable fractions.     

Heavy Metals, Phosphorus and Some Other Elements in UrbanSoils of Hangzhou City, China

Health implications of inhaling and/or ingesting dust particles with high concentrations of heavy metals from urbansoils are a subject of intense concern. Understanding the geochemistry of these metals is key to their effective management. Total concentrations of heavy metals, phosphorus (P) and 8 other elements from topsoil samples collected at 82locations in Hangzhou City were measured to:a) assess their distribution in urban environments;and b) understand theirdifferentiation as related to land use. Metal mobility was also studied using a three-step sequential chemical fractionationprocedure. About 8.5%, 1.2%, 3.6%, 11.0% and 30.3% of the soil samples had Cd, Cr, Cu, Pb, and Zn concentrations,respectively, above their allowable limits for public and private green areas and residential use. However, in commercialand industrial areas, most samples had metal concentrations below their allowable limits. Statistical analyses revealedthat the 16 measured elements in urban soils could be divided into four groups based on natural or anthropic sourcesusing a hierarchical cluster analysis. Additionally, Cu, Pb, and P showed similar spatial distributions with significantpollution in commercial zones, suggesting vehicle traffic or commercial activities as dominant pollutant sources. Also, Cd,Co, Cr, Ni, Zn, Mn and Fe had the highest concentrations in industrial locations, signifying that industrial activities werethe main sources of these seven metals. Moreover, the data highlighted land-use as a major influence on heavy metalconcentrations and forms found in topsoils with large proportions of soil Cd, Co, Cr, and Ni found in residual fractionsand soil Cu, Pb and Zn mainly as extractable fractions.     

工业区周边农田重金属污染评价及来源分析

以新疆北疆某工业区周边农田土壤为研究对象,采集0~20 cm土壤样品254个,测定了Cr、Ni、Cu、Zn、As、Hg、Pb、Cd共8种重金属含量。运用相关性分析和主成分分析探讨工业区周边农田土壤重金属的来源,运用GS+进行数据拟合,选取最佳模型,再进行克里格插值分析重金属的空间分布格局。结果表明,Cr、Ni、Cu、Zn、As、Hg、Pb和Cd的含量分别为45.00、28.53、55.66、73.57、13.39、2.17、15.38和0.50 mg kg~(-1)。测量的金属除Cr之外均超过土壤的背景值,只有Hg处于中度污染,其余元素都处于非污染,而研究区综合潜在生态风险程度为严重型。重金属空间分布表明,Ni、Zn、As、Hg和Pb在东部和南部含量较高。来源分析表明,Hg来源受研究区内工业活动的影响;Cr、Ni、Zn和Cd主要来自于化肥、农药和地膜等农业活动和土壤母质的共同作用;As、Hg和Pb主要来源是受研究区内工业活动的影响。     

北京市农业土壤重金属状态评价

以北京市土壤重金属背景值为标准,对比分析了农业土壤中Cr、Ni、Cu、Zn、As、Cd、Ph、Hg 8种重金属的含量及累积情况,并采用单因子污染指数法和综合污染指数法进行了土壤重金属污染评价。结果表明,北京市农业土壤存在着一定的Cr、Cu、Zn、As、Cd累积趋势,其含量的平均值分别为53．61、21．95、65．42、9．14、0．125mg·kg^-1,比相应的背景值高79．9％、17．4％、13．8％、28．9％、5．0％;Ni和Pb的累积则不明显,平均值比相应的背景值低7．9％、29．2％,分别为24．84和19．04mg·kg^-1;而Hg含量的平均值与背景值一致,为0．08mg·kg^-1。从单因子评价结果来说,Cr污染指数在1．06-2．93之间,所有的样点都处于轻度或中度污染状态;As、Cu、Zn、Cd的污染指数相对较小,平均值分别为1．29、1．17、1．13、1．05,有50％以上的样点处于轻度污染状态;而Ni、Ph、Hg的污染指数均小于1,有60％以上的样点处于清洁或尚清洁状态,污染较轻。若从综合评价结果来说,综合污染指数处于0．96～2．16之间,平均值为1．45,几乎所有的土壤样点都属于轻度污染状态。     

长期污灌农田土壤重金属污染及潜在环境风险评价

以西安市某典型污灌区农田土壤为研究对象,分析长期污水灌溉对表层土壤重金属含量及富集状况的影响,采用内梅罗指数法和Hakanson潜在生态危害指数法对其污染现状及潜在环境风险进行评价。结果表明：长期污灌已导致农田土壤Cd、Cr、Cu、Hg、Ni、Pb和Zn7种重金属相对自然背景有不同程度累积,其富集比例依次为100%、82.69%、100%、100%、80.77%、98.08%和100%,仅有土壤As平均含量低于其背景水平;以国家土壤环境质量标准二级限量值作为污染评价阈值,其中Cd和Hg污染表现突出,按其污染指数平均值排序为Cd〉Hg〉Ni〉Cu〉Zn〉As〉Cr〉Pb;土壤重金属综合潜在环境风险为＂强＂等级,Hg、Cd的环境影响占据主导;随污灌年限增长,离灌渠越近,农田土壤重金属的污染水平和环境风险越高。鉴于该区土壤重金属已呈现较强生态危害性,应及时采取必要防治措施,调整土地利用结构,确保农田环境及农产品安全生产。     

中国太原市农业土壤的重金属污染状况

To evaluate the current state of the environmental quality of agricultural soils in Taiyuan City, a hotspot for China’s industrial development, the concentrations of 8 heavy metals in soils were investigated by means of extensive sampling in farmlands, forestlands, and grasslands in the city. Statistical analyses and spatial distribution maps were used to identify the most significant heavy metal pollutants. The mean concentrations of As, Cd, Cu, Hg, Pb, Zn, Ni, and Cr were slightly higher than their background values in Taiyuan’s topsoil, but were lower than the maximum permissible concentrations in the Chinese Environmental Quality Standard for agricultural soils. Farmland soils in Taiyuan had the highest average Cd, Cu, Hg, Pb, Zn, and Cr concentrations, but the As and Ni concentrations did not differ significantly among the farmland, forestland, and grasslands. Soil contamination by Cd, Cu, Hg, Pb, Zn, and Cr was mainly derived from farming practices, especially the use of sewage water for irrigation. In contrast, As and Ni might derive mainly from the soil parent material. The identification of heavy metal sources in agricultural soils may provide a basis for taking appropriate action to protect soil quality.     

褶牡蛎对重金属的生物富集动力学特性研究

应用实验生态方法研究了褶牡蛎对8种常见的重金属生物富集动力学特性,得出了褶牡蛎对重金属的生物富集系数、生物半衰期以及生物富集曲线。结果表明,到积累实验结束时褶牡蛎对Pb、Zn、Cd、Cr、Ni和Hg的生物富集系数分别是15．60、26．53、60．06、7．61、5．82和47．88,褶牡蛎对Cu和As的富集规律不明显,生物富集曲线分别为yPI7=0．4046e^0.1168xR^2=0．7378,yZn=0．0408x^2＋0．2909x＋59．969 R^2=0．9307,yGl=2．5263e^0.0867x R^2=0．7089,YCr=0．6832e^0.0942x R^2=0．8544,yNi=0．4178e^0.0714x R^2=0．6856和yHg=0．0015x^2＋0．0444x＋0：0644 R^2=0．8301,以积累实验结束时的生物富集系数为基准,褶牡蛎对这几种重金属的富集能力为Cd〉Hg〉Zn〉Pb〉Cr〉Ni;到释放实验结束时褶牡蛎对Pb、Zn、Cd、Cr和Hg的生物半衰期分别是23．1、13031．7、67,7、32．9和36．1d,褶牡蛎是Zn、Cd和Hg的强的净积累者,以释放实验结束时的生物半衰期为基准,褶牛十蛎对这几种重金属的排毒释放顺序为Pb〉Cr〉Hg〉Cd〉Zn。     

长江三角洲地区土壤盐酸可提取态重金属含量的空间变异特征

以江苏昆山市为典型区,对长三角地区土壤盐酸可提取态重金属含量的结构特征进行分析,得出该区盐酸可提取态重金属的空间分布格局并揭示了引起这种分布格局的成因和污染来源,结果表明：昆山市盐酸可提取态Cd、Cr、Cu、Pb、Zn、Hg属强变异,Ni和Co为中等变异。半方差函数模型拟合表明所有盐酸可提取态重金属元素均符合球状模型,8种重金属元素在一定范围内均存在空间相关性。采用Kriging最优内插法得到了盐酸可提取态重金属含量的空间分布格局,表明土壤盐酸可提取态重金属含量与工业活动、污水灌溉和大气降尘密切相关。通过主成分分析与地统计学相结合的方法,得出该区盐酸可提取态重金属由4个主成分构成,第一主成分为Cd、Cu、Pb、Cr和Zn,决定这一成分的主要因素为工业污水灌溉、大气降尘和元素地球化学特征;第二主成分为Ni,决定这一成分的主要因素为土壤内部因子;第三主成分为Hg,该成分主要受工业点源污染的影响;第四主成分为Co,该成分可能主要受地形影响。     

Aspects of trace metal contamination in the coastal rivers of Israel

Nine trace elements of biological concern: Cr, Co, Cu, Cd, Ni, Pb, Hg, Zn and Ag were investigated in the sediments of the most important coastal steams in Israel. All of these are subjected to some degree of domestic and/or industrial sewage input with the consequent liability of contamination by trace metals. The Ayyalon, Gadura, Qishon and locally the Hadera rivers contain sediments exhibiting severe pollution effects. There is a danger of infiltration through the soils into the groundwaters as well as exposing nearshore fauna to sediments contaminated by possibly toxic trace metals. The other rivers bear smaller levels of trace metals; however, an increase of the Pb and the Zn levels occurs near major highways.     

我国污灌污水中重金属含量特征及年代变化规律

通过查阅文献数据库,统计发表的我国各地污灌污水中的重金属含量,并对数据进行统计分析,总结近30a来我国污灌污水中重金属的含量特征及年代变化规律。文献数据统计结果表明,近30a来我国污灌污水中重金属Pb、Cr、Zn、Ni的含量均值或中位值随年代逐步降低,Hg、As平均含量呈先上升后下降的趋势,Cu、Cd平均含量则是呈现先下降后上升的趋势;近30a来污灌污水中8种重金属浓度的平均值或中位值均低于农田灌溉水质标准（GB5084—2005）,但污灌污水中重金属浓度的90%分位值均超过该农田灌溉水质标准,污灌污水中重金属浓度75%分位值20世纪80年代Hg、Pb、Cd超标,90年代Hg、Cr、As超标,近10aCd、As超标。对污灌污水中Hg、Cd、As在污染源头控制中需要优先控制。     

汾河流域土壤重金属垂直分布规律及地域差异

山西汾河流域按土属采土样１７４０个，测定镍、铬、铅、锌、砷、铜、汞、镉八种元素的含量。探讨了垂直分布及各地形部位贡献大小和地域差异。在中高山地、山地、低山丘陵、丘陵阶地、二级阶地和平原盆地六个地形部位中，土壤重金属元素含量均未超过土壤污染起始值。各元素不同地形部位贡献大小为：中高山地汞大、山地铜大、低山丘陵铬大，丘陵阶地铅、镍、铜大，二级阶地汞大、锌小，平原盆地镉、汞大、铜小。故二级阶地和平原盆地应施用铜、锌微肥和防止汞、镉污染。地域差异研究表明：东西两山山地土壤多数元素含量差异不显著，利用较为一致。南北两盆地污染重点在太原盆地。上述研究结果为土壤环境质量评价、土壤污染防治和预测，工矿企业合理布局，农业生产结构调整提供了科学依据。     

Heavy Metals in Freshly Deposited Stream Sediments of Rivers Associated with Urbanisation of the Ganga Plain,India

Freshly deposited stream sediments from six urban centres of the Ganga Plain were collected and analysed for heavy metals to obtain a general scenery of sediment quality. The concentrations of heavy metals varied within a wide range for Cr (115–817), Mn (440–1 750), Fe (28 700–61 100), Co (11.7–29.0), Ni (35–538), Cu (33–1 204), Zn (90–1 974), Pb (14–856) and Cd (0.14–114.8) in mg kg^-1. Metal enrichment factors for the stream sediments were <1.5 for Mn, Fe and Co; 1.5–4.1 for Cr, Ni, Cu, Zn and Pb; and 34 for Cd. The anthropogenic source in metals concentrations contributes to 59% Cr, 49% Cu, 52% Zn, 51% Pb and 77% Cd. High positive correlation between concentrations of Cr/Ni, Cr/Cu, Cr/Zn, Ni/Zn, Ni/Cu, Cu/Zn, Cu/Cd, Cu/Pb, Fe/Co, Mn/Co, Zn/Cd, Zn/Pb and Cd/Pb indicate either their common urban origin or their common sink in the stream sediments. The binding capacity of selected metals to sediment carbon and sulphur decreases in order of Zn > Cu > Cr > Ni and Cu > Zn > Cr > Ni, respectively. Stream sediments from Lucknow, Kanpur, Delhi and Agra urban centres have been classified by the proposed Sediment Pollution Index as highly polluted to dangerous sediments. Heavy metal analysis in the <20-μm-fraction of stream sediments appears to be an adequate method for the environmental assessment of urbanisation activities on alluvial rivers. The present study reveals that urban centres act as sources of Cr, Ni, Cu, Zn, Pb and Cd and cause metallic sediment pollution in rivers of the Ganga Plain.     

金乡县大蒜产区土壤重金属特征及潜在生态风险评价

应用地积累指数、潜在生态风险指数、健康风险指数法和因子分析法对金乡县典型大蒜产区土壤重金属(As、Cd、Cr、Cu、Hg、Ni、Pb和Zn)特征、污染源头及其潜在生态风险进行了评价分析.结果 表明:该县大蒜产区土壤重金属As、Cd、Cr、Cu、Hg、Ni、Pb和Zn的平均含量分别为16.27、0.18、63.05、32...     

Spatial distribution and source apportionment of the heavy metals in the agricultural soil in a regional scale

Purpose

Understanding the spatial distribution and sources of soil heavy metals (HMs) in a large city helps prevent and control soil pollution. This study aimed to investigate the spatial patterns of soil HMs and identify their main sources in a regional scale.

Materials and methods

A total of 110 topsoil samples were collected from Tai’an City, China. Cd, Cr, Cu, Hg, Ni, Pb, and Zn concentrations in each soil sample were determined. Geostatistics, geographic information system (GIS), and positive matrix factorization (PMF) were used to explore the spatial distribution of seven soil HMs and to reveal the main sources of soil HMs in Tai’an City, respectively.

Results and discussion

Soil Cd, Cr, Pb, and Zn generally showed slight pollution levels in the study area. However, soil Hg and Cu contents reached moderate to heavy pollution levels in some areas. Soil Hg content increased from north to south across the city, and the highest Hg concentration was detected in Ningyang County. Soil Cd, Cu, and Zn distributions exhibited a similar pattern, and their contents increased from west to east; the highest Cd, Cu, and Zn concentrations were found in Xintai County. The highest soil Ni concentration was obtained in the northeast of Feicheng and Xintai counties. PMF analysis revealed the following four potential sources of agricultural soil HMs in Tai’an City: industrial and mining activities, agricultural activities, residential living activities, and business activities. Soil Hg mainly originated from residential living activities, which accounted for 75.3% of the total source. The main sources of soil Ni were residential living activities, agricultural activities, and industrial and mining activities, which account for 38.2, 27.50, and 25.1% of the total source, respectively. Soil Cu was mainly produced by agricultural activities (36.6%), followed by residential living activities (29.8%) and industrial and mining activities (25.8%).

Conclusions

PMF combined with GIS could be effectively applied to determine the main sources of HMs in agricultural soils in a regional scale.

     

典型城市城郊土壤重金属含量对比研究

选取成都经济区内成都、德阳、蒲江彭山3类典型城市作为研究对象,对其城郊土壤中Cd,Hg,As,Zn,Cr,Cu,Pb 7种重金属元素含量作了对比研究.与国家土壤二级质量标准比较,成都、德阳、彭山蒲江Cd含量均超标,超标率分别为11.67%,70.67%,39.00%,彭山蒲江Cr含量超标,超标率为20.25%,其它元素含量均未超标.比较3类不同城市城郊土壤重金属含量.成都城郊Hg,As,Zn,Pb含量最高,Cd,Cr含量相对最低;德阳Cd,Cu最高;蒲江和彭山Cr相对最高,Hg,As,Zn,Cu,Pb含量则相对最低.与国内其他城市比较,成都、德阳城郊土壤Hg含量,彭山蒲江、德阳Cr含量在全国处于较高水平;成都的As,Cd含量,德阳的Cd,Zn含量,蒲江彭山的Hg,As,Zn,Pb含量处于全国较低水平.     

Effects of Changed Soil Conditions on the Mobility of Trace Metals in Moderately Contaminated Urban Soils

Changes in the soil chemical environment can be expected to increase the leaching of trace metals bound in soils. In this study the mobility of trace metals was monitored in a column experiment for two contaminated urban soils. Four different treatments were used (i.e. rain, acid rain, salt and bark). Leachates were analysed for pH, dissolved organic carbon (DOC) and for seven trace metals (cadmium (Cd), chromium (Cr), copper (Cu), mercury (Hg), nickel (Ni), lead (Pb) and zinc (Zn)). The salt treatment produced the lowest pH values (between 5 and 6) in the effluent whereas the DOC concentration was largest in the bark treatment (40–140 mg L^?1) and smallest in the salt and acid treatments (7–40 mg L^?1). Cadmium, Ni and Zn were mainly mobilised in the salt treatment, whereas the bark treatments produced the highest concentrations of Cu and Pb. The concentrations of Cu, Cr, and Hg were strongly correlated with DOC (r ²?=?0.90, 0.91 and 0.96, respectively). A multi-surface geochemical model (SHM-DLM) produced values for metal dissolution that were usually of the correct magnitude. For Pb, however, the model was not successful indicating that the retention of this metal was stronger than assumed in the model. For all metals, the SHM-DLM model predicted that soil organic matter was the most important sorbent, although for Pb and Cr(III) ferrihydrite was also important and accounted for between 15 and 50% of the binding. The results confirm the central role of DOC for the mobilization of Cu, Cr, Hg and Pb in contaminated soils.     

Application of ICP sector field MS and principal component analysis for studying interdependences among 23 trace elements in Polish beers.

Twenty-three metallic elements, including almost all essential and toxic metals such as lead, cadmium, mercury, arsenic, silver, and thallium, have been quantified in 35 types of bottled and canned Polish beer by using double-focusing sector field inductively coupled plasma mass spectrometry (ICP-MS) with ultrasonic nebulization. The samples were digested using concentrated HNO3 in closed PTFE vessels and applying microwave energy under pressure. The means and medians of the concentrations of Rb, Mn, and Fe were on the order of 200 ng/mL; Cu, Zn, V, Cr, Sn, As, Pb, and Ni were detected at 1-5 ng/mL; Ag, Ga, Cd, Co, Cs, Hg, U, and Sb were found at < 1 ng/mL; and In, Tl, Bi, and Th were present at < 0.1 ng/mL. The concentrations of Hg, Cd, As, Pb, and Zn were 1-3 orders of magnitude lower than proposed tolerance limits. The interdependences among determined trace elements were examined using the principal component analysis (PCA) method. The PCA model explained 74% of the total variance. The metals tend to cluster together (As, Tl, Cs, Sn, Th, Bi, and Hg; Cd and Co; Cs and Cr; Fe and Zn; Mn and V).     

芜湖市不同功能区土壤重金属污染状况与环境质量评价

通过对芜湖市工业区、商业区、休闲区和居住区土壤重金属污染现状的调查与分析,分别以本地区自然土壤重金属元素自然含量的平均值和国家土壤环境质量标准作为评价标准,计算出各功能区土壤单因子污染指数,并采用主成分分析法确定权重,对各功能区的土壤环境质量进行综合评价。结果表明:芜湖市各功能区土壤Cd、Hg、Cu、Pb、Cr、Zn含量均超过本地区自然土壤重金属元素自然含量的平均值。其中工业区土壤中Cd、Hg和Cu,商业区土壤中Cd和Hg,休闲区和居住区土壤中Cd均超过国家土壤环境质量标准。Cu、Hg、Pb、Cr、Cd污染均表现为工业区最大,商业区次之,Zn在各功能区含量差异不大。土壤中重金属含量上层高于下层,且在商业区和居住区差异明显。土壤环境质量居民区尚清洁,休闲区和商业区中度污染,工业区重度污染。     

Studies of Spatial Variabilities of Airborne Metals Across Four Different Land-Use Types

The concentrations of seven metals (Fe, Pb, Mn, Ni, Cd, Cu, and Cr) associated with the total suspended particles (TSPs) were analyzed regularly from the four sampling sites of different land-use types within the boundary of Won Ju city, Korea during1991 through 1995. The mean concentration data for the four sitesselected to represent grassland, residential, commercial, and industrial areas fell in a relatively broad range of: 1440–2240 (Fe), 88–326 (Pb), 2–4 (Cd), 8–21 (Cr),194–469 (Cu), 32–95 (Mn), and 15–26 (Ni) ng m^-3. The data, when compared across the different study sites, generally exhibited systematic trends in accordance withthe site-selection scheme; most metals exhibited increase in their concentration levels across grassland through industrial site. Examinations of data also indicated the possibility that spatial factors play complicated roles on both long- and short-term distribution of metals. From all four sites studied, severalmetals (e.g., Fe, Pb, Mn, Ni, and Cd) consistently showed theirseasonal trends characteristic of high winter/spring values. In addition, the analysis of long-term distribution trendsindicated that the concentrations of many metals droppedsteadily at four sites (e.g., Fe, Pb, and Mn). When these metaldata were compared among different sites (land-use types), significant correlations were seen frequently for such metals asFe, Pb, Cd, and Cr. Investigations of inter-metal relationshipsindicated that strong correlations were more abundant from such metal pairs as Fe-Pb, Pb-Mn, and Mn-Fe. In addition, the cases for such strong correlations were seen more abundantly from grassland (and residential) than industrial (and commercial) site. Factor analysis was also conducted to distinguish sourceprocesses affecting metal distributions in the study area. Results of this analysis suggest that the metal distributions ofthe individual sites may be affected most significantly by distinctive source processes of their own.