洛川苹果园地土壤重金属污染调查与评价

通过对洛川苹果园地土壤样品的采集、监测,依据无公害果园产地土壤环境质量标准和绿色食品产地土壤环境质量标准,重点分析评价了对土壤环境及人体危害较大的Cd、As、Cr、Pb等重金属元素的污染现状。评价结果表明:以无公害果园产地土壤环境质量为评价标准,洛川苹果园地土壤重金属污染程度有As>Cr>Cd>Pb的特征,土壤重金属综合污染指数为0.51,土壤Cd、As、Cr、Pb单项污染指数平均值均小于0.7,土壤环境中的重金属元素含量现状水平符合无公害苹果生产的要求;以绿色食品产地土壤环境质量为评价标准,洛川苹果园地土壤重金属污染程度有As>Pb>Cr>Cd的特征,土壤重金属综合污染指数为0.64,土壤Cd、Cr、Pb单项污染指数平均值均小于0.7,土壤As单项污染指数平均值大于0.7,但小于1。土壤环境中的重金属含量现状水平符合绿色食品苹果生产的要求。但土壤As单项污染指数平均值为0.74,已超过绿色食品产地土壤污染警戒线。洛川苹果园地土壤重金属As污染程度较高,主要是由于人为长期不合理使用含As农药、化肥所致。因而,洛川苹果生产中应将土壤环境中的As作为严控的土壤污染物。     

Einflußgrößen der Schwermetallöslichkeit und -bindung in Böden

Solubility and retention of heavy metals in soils Model experiments were carried out under oxidizing conditions with soil samples from surface and subsurface horizons of different composition in order to investigate the solubility and retention of Cu, Zn, Cd, and Pb in soils. The solubility of heavy metals is mainly determined by ad- and desorption processes and complexation reactions of organic and inorganic ligands. Precipitation and dissolution of definite heavy metal compounds do not seem to govern the solution concentration in soils. An exception may probably be the formation of lead phosphate and zinc silicate under specific reaction conditions. The main factors which determine solubility and retention of heavy metals are total amount (except the proportion incorporated in the silicate structure) of the different metals, soil reaction, content of mobilizing and immobilizing organic substances, content of pedogenic oxides and clay minerals, and kind and concentration of salts and inorganic ligands. The results of the model experiments are used together with the results of other authors and general physico-chemical data to give an interpretation of the solubility behaviour of heavy metals in soils. The relations between heavy metal solubility, availability and mobility and possible procedures for melioration of soils contaminated with heavy metals are discussed.     

南方几种水稻土重金属污染下的土壤呼吸及微生物学效应

采集南方几种重金属污染下的水稻土,通过室内培养的方法研究土壤CO2排放的动态变化以及微生物学指标的差异。结果表明,在60d的培养期内,前7d土壤呼吸速率较高,占了整个排放量的30．89％～64．37％,并且这一阶段重金属对土壤呼吸速率的影响最大。重金属对土壤微生物生物量的影响表现出增加、抑制与无显著性差异的结果,而重金属对微生物熵及微生物代谢熵（qCO2）的影响却是极显著的,同时表现出增加与降低的不同结果。这说明土壤呼吸以及不同的微生物学指标,在长期的复合重金属污染条件下,其表现并不一致,微生物熵与代谢熵用于基本性质差异较大的土壤时,对重金属的响应更为灵敏。此外,土壤重金属的累积还能提高土壤中有机碳的含量。     

Use of Sequential Extraction in the Study of Heavy Metal Retention by Silty Soils

This study focused on the capability of two silty soils (tills) having low clay contents and CEC to retain and release two heavy metals, Pb and Cu. Samples of two non contaminated till deposits from the Eastern Townships region of Quebec, Canada, were artificially contaminated with concentrated solutions of these heavy metals. The latter were later extracted from the various geochemical phases of the soils by using the sequential extraction procedure. The results show that silty soils may have a relatively high heavy metal retention capacity due to the presence of carbonate and that this retention capacity can be comparable in magnitude to the retention capacity of certain clayey soils. This is particularly positive in the context of municipal waste disposal (landfills) in Quebec, where some old sanitary landfill sites are underlain by till deposits. A high buffering capacity is not as desirable in the case a deposit needs to undergo remediation.     

Effect of Organic Acids on Heavy-Metal Uptake and Growth of Canola Grown in Contaminated Soil

Heavy-metal pollution of soils causes many environmental, animal, and human health problems. Phytoextraction of heavy metals from contaminated soils is an effective and economic technique. Humic acids are naturally occurring phenol body polymerisates, which form chelate compounds with heavy metals. In the present study the influence of soil- applied humic, citric, and malic acids on the lead (Pb), cadmium (Cd), and chromium (Cr) uptake from a contaminated soil by canola plant was examined in a greenhouse experiment. The experiment was arranged in factorial design based on randomized complete blocks with three replications. The factors of experiment included three organic acids (humic, citric, and malic acid) as first factor and five concentrations [0, 0.001, 0.002, 0.003, and 0.004 (v/v)] as second factor. The results showed that increase in organic acid concentration significantly increased heavy-metal uptake by canola plant, which accumulated heavy metals in different parts of the plant. In addition, crop growth representing by plant height and plant dry weight as well as seed production significantly decreased. Based on these results, canola can be considered as effective crop for phytoextraction of heavy metals from contaminated soils.     

拉林河流域土壤重金属污染特征及来源解析

该文选取拉林河流域表层土壤为研究对象,通过对土壤重金属的含量和空间分布分析、污染评价、以及潜在生态风险评价,了解土壤重金属的分布特征和污染现状,并利用正定矩阵因子分解法（PMF）探索土壤重金属污染的来源。结果表明,表层土壤中Cr、As、Pb、Cu、Zn、Ni、Mn、V的平均含量均低于背景值,Co和Se略微高于背景值,部分土壤样点Cd和Ni超过国家土壤环境质量标准的二级标准。研究区土壤污染的主要金属元素为Cd和Hg,地累积指数表明受到污染的样品比例分别达到45.1%和37.0%,其潜在生态危害指数平均值分别为49.83和70.29。根据PMF计算结果,拉林河流域表层土壤重金属累积主要受自然源、农药肥料源、工业排放源的影响。其中,自然本底对研究区土壤中重金属的影响最大,贡献率为38.0%,其次是农药和肥料施用,贡献率为32.6%,燃煤和工业排放源的贡献率稍低,为29.4%。     

贵州万山汞矿区某农田土壤重金属污染特征及来源解析

研究采集万山汞矿区典型农田土壤样品,分析测试其Hg、As、Cd、Cr、Pb、Cu、Zn、Ni含量,利用综合污染指数法、地累积指数法和潜在生态危害指数法评估农田土壤的污染状况及生态风险,结合相关分析和主成分分析解析农田土壤中重金属的来源。结果表明,该农田土壤Hg、As、Cd、Cr、Pb、Cu、Zn、Ni的平均含量分别为4.29、117.6、0.43、59.06、48.99、43.77、29.13、18.80 mg kg~(-1)。土壤重金属综合污染指数为7.16,表明该农田土壤重金属重度污染,其中100%的位点Hg、As重度污染,66.7%的位点Pb轻度污染,25%的位点Cd轻度污染。土壤重金属的综合潜在生态危害指数为469.0,生态风险强,Hg对综合潜在生态危害指数的贡献率为78.30%,是该农田土壤生态风险的主要来源。该农田中重金属的来源包括:交通运输源、矿业污染源、农业污染源和自然活动源,主要污染物Hg来源于矿业活动,As来源于交通运输和矿业活动,Cd来源于农业活动,Pb来源于交通运输。     

Organochlorinated compounds and selected metals in waters and soils from Doñana National Park (Spain)

A study on contamination levels by organochlorinated compounds (pesticides and PCBs) and heavy metals (Hg, Cd, Pb, Cu and Zn) in Doñana National Park (Spain) area and its surrounding region has been carried out. Residue levels of xenobiotics were determined in water and soils samples from seventeen sites selected through the park and nearest surrounding farm lands affecting to the inner Park. Also we analyzed some stations along the Guadiamar Basin in the north of Doñana region to determined the movement and influence of one mine situated over 40 km away, in Aznalcóllar, where the commercial expoitation of pyrites ores rich in Zn, Pb and Cu is being operated.     

Estimation of Source of Heavy Metal Contamination in Sediments of Gomti River (India) using Principal Component Analysis

This study explores the extent and possible sources of heavy metal (Cd, Cr, Cu, Fe, Mn, Pb, Zn and Ni) contamination in the bed sediments of the Gomti River performing principal component analysis on the five years (Jan. 1994–Dec. 1998) data set obtained through continuous monitoring of the river water and bed sediments at eight selected sites and water/wastewater of its tributaries/drains. Influence of anthropogenic activities on metal contamination of the bed sediments was evaluated through computing the geoaccumulation index for various metals at studied sites. PCA performed on combined (river bed sediment, water, suspended solids, water/wastewater from tributaries/drains) data set extracted two significant factors explaining more than 58% of total variance. Factor loadings suggested the presence of both natural as well as anthropogenic sources for all these metals in the river bed sediments. Among all the sites, the sites 4 and 5 are more contaminated with Cd, Cu, Cr and Pb, which was supported by the geoaccumulation indices computed for metals. Factor scores revealed presence of seasonal (monsoon-related) differences in metals profiles for river water and suspended solids and absence of seasonal differences for bed sediment and wastewater. Further, the metal contamination of the bed sediment was also evaluated using biological thresholds. Results suggested that the river bed sediments are contaminated with heavy metals, which may contribute to sediment toxicity to the freshwater ecosystem of the Gomti River.     

Community structure of arbuscular mycorrhizal fungi associated with Robinia pseudoacacia in uncontaminated and heavy metal contaminated soils

The significance of arbuscular mycorrhizal fungi (AMF) in soil remediation has been widely recognized because of their ability to promote plant growth and increase phytoremediation efficiency in heavy metal (HM) polluted soils by improving plant nutrient absorption and by influencing the fate of the metals in the plant and soil. However, the symbiotic functions of AMF in remediation of polluted soils depend on plant–fungus–soil combinations and are greatly influenced by environmental conditions. To better understand the adaptation of plants and the related mycorrhizae to extreme environmental conditions, AMF colonization, spore density and community structure were analyzed in roots or rhizosphere soils of Robinia pseudoacacia. Mycorrhization was compared between uncontaminated soil and heavy metal contaminated soil from a lead–zinc mining region of northwest China. Samples were analyzed by restriction fragment length polymorphism (RFLP) screening with AMF-specific primers (NS31 and AM1), and sequencing of rRNA small subunit (SSU). The phylogenetic analysis revealed 28 AMF group types, including six AMF families: Glomeraceae, Claroideoglomeraceae, Diversisporaceae, Acaulosporaceae, Pacisporaceae, and Gigasporaceae. Of all AMF group types, six (21%) were detected based on spore samples alone, four (14%) based on root samples alone, and five (18%) based on samples from root, soil and spore. Glo9 (Rhizophagus intraradices), Glo17 (Funneliformis mosseae) and Acau3 (Acaulospora sp.) were the three most abundant AMF group types in the current study. Soil Pb and Zn concentrations, pH, organic matter content, and phosphorus levels all showed significant correlations with the AMF species compositions in root and soil samples. Overall, the uncontaminated sites had higher species diversity than sites with heavy metal contamination. The study highlights the effects of different soil chemical parameters on AMF colonization, spore density and community structure in contaminated and uncontaminated sites. The tolerant AMF species isolated and identified from this study have potential for application in phytoremediation of heavy metal contaminated areas.     

浙江省典型水稻产区土壤水稻系统重金属 迁移特征及定量模型

重金属在土壤?水稻系统中迁移转化规律越来越受到人们的关注。本研究采集浙江省3个不同区位(浙北南浔、浙中嵊州、浙南温岭)的水稻主产区土壤、水稻样品,基于水稻品种(杂交水稻和晚粳稻)进行重金属迁移转化的影响因子分析,明确主要驱动因子,建立定量评测模型并进行验证,以此掌握浙江省典型水稻产区重金属的迁移转化规律。研究结果表明,3个研究区土壤的理化性状存在差异,其中嵊州产区土壤的p H(均值为5.52)、有机质(均值为39.4 g?kg?1)、重金属形态含量等均低于其他两个研究区;3个产区土壤和水稻中重金属含量也存在显著性差异,温岭产区土壤重金属(Cd、Cu、Zn)含量显著高于其他两个产区(P0.05),而嵊州产区的水稻重金属含量则显著高于南浔产区(P0.05);Cd和Zn富集系数高于Cu和Ni,嵊州产区的重金属富集系数(0.018~0.521)显著高于其他两个产区(南浔为0.004~0.143,温岭为0.007~0.269)。土壤重金属形态和土壤理化性质均显著影响不同品种的富集系数,其中土壤理化性质的作用相对较大。对数线性迁移模型能够预测实际产地环境中土壤?水稻系统重金属的有效性(富集系数),晚粳稻的预测结果优于杂交水稻,重金属Ni的预测效果(杂交水稻和晚粳稻的回归系数r分别达0.61、0.70,P0.01)好于其他重金属,而杂交水稻重金属Cd的预测效果(r值为0.21,P0.05)偏低,需增加环境变量,并做进一步研究以提高预测精度。     

长江三角洲典型城市农田土壤重金属累积特征与来源

研究农田土壤重金属累积特征和来源对科学管理、安全利用土壤资源具有重要意义.通过野外采样与实验室分析研究了长江三角洲典型城市农田土壤重金属(Cd、Hg、As、Pb、Cr、Cu)含量、累积状况,识别了农田土壤重金属来源.结果表明:(1)六种土壤重金属的累积程度按照由重到轻的顺序为:Hg>Cd>Cu>As>Pb>Cr;(2)...     

Biogeochemistry of heavy metals in contaminated excessively moistened soils (Analytical review)

The biogeochemical behavior of heavy metals in contaminated excessively moistened soils depends on the development of reducing conditions (either moderate or strong). Upon the moderate biogenic reduction, Cr as the metal with variable valence forms low-soluble compounds, which decreases its availability to plants and prevents its penetration into surface- and groundwater. Creation of artificial barriers for Cr fixation on contaminated sites is based on the stimulation of natural metal-reducing bacteria. Arsenic, being a metalloid with a variable valence, is mobilized upon the moderate biogenic reduction. The mobility of siderophilic heavy metals with a constant valence grows under the moderate reducing conditions at the expense of dissolution of iron (hydr)oxides as carriers of these metals. Zinc, which can enter the newly formed goethite lattice, is an exception. Strong reduction processes in organic excessively moist and flooded soils (usually enriched in S) lead to the formation of low-soluble sulfides of heavy elements with both variable (As) and constant (Cu, Ni, Zn, and Pb) valence. On changing aquatic regime in overmoistened soils and their drying, sulfides of heavy metals are oxidized, and previously fixed metals are mobilized.     

山东省露地蔬菜产地土壤重金属含量的环境质量分析与评价

对山东省露地蔬菜产地的土壤进行了重金属Cd、Hg、As、Pb、Cr、Cu、Zn和Ni含量的抽样调查分析,并采用单项质量指数与综合质量指数相结合的方法对重金属的环境质量状况进行了评价。结果表明,莱阳露地蔬菜产地、金乡大蒜、章丘大葱产地土壤各重金属的平均含量均低于＂食用农产品产地环境质量评价标准＂（HJ332—2006）规定的限值,三地土壤重金属的单项质量指数均≤0.7,综合质量指数分别为0.56、0.50和0.43,土壤环境质量均为1级,属于清洁水平,适宜发展无公害蔬菜。同时发现,部分地区有重金属含量超标现象,莱阳Cu的样本超标率为13.64%,金乡Cd、Cu和Hg的样本超标率分别为5.41%、5.41%和2.70%,章丘Ni的超标率为4.76%。重金属含量之间多呈正相关关系,其中Cd与Zn,Cu与Zn,Pb与Cr之间的相关性达到极显著水平（P〈0.01）,As与Ni,Ni与Zn,Zn与Pb,Pb与Cu,Cu与Cr之间的相关性达到显著水平（P〈0.05）。大部分监测点的重金属含量均高于山东农业土壤自然背景值,表明在监测点土壤中产生了重金属累积。对山东省其他露地蔬菜产区土壤的随机调查,没有发现重金属含量超标。     

Distribution of heavy metals in soils of the Yellow River Delta: concentrations in different soil horizons and source identification

Purpose

The Yellow River Delta, an active land-ocean interaction area, will develop into a large eco-economic region in East China during the coming decade. It is necessary to assess the geochemical features of heavy metals in the soils. The objectives of this research were to evaluate the concentrations and distribution of heavy metals (Cr, Ni, Cu, Zn, Pb, and Cd) in soil profiles of the area and to identify their sources.

Materials and methods

Horizon samples were collected based on pedogenic features from bottom to top in each profile to a depth of 120 cm and a total of 92 samples were collected. The sampling sites were grouped into four lines from inland to coastal area with three land use types (cotton field, cereal field, and wetland). The concentrations of Cr, Ni, Cu, Zn, Pb, and Cd were measured by inductively coupled plasma-mass spectrometry. Iron oxide fractions in the soil were extracted by oxalate-oxalic acid and dithionite-citrate-bicarbonate. X-ray diffraction (XRD) was used to determine the mineral composition of the soils. Multivariate statistical analysis and historical data were employed to identify the possible sources of these heavy metals.

Results and discussion

The mean concentrations of heavy metals were elevated along the Yellow River region and in the southern part of the delta; however, they were generally lower than the Chinese guideline values. As for the depth distribution of heavy metals in soil profiles, the maximum values of Cr, Ni, Cu, Zn, and Cd in middle horizon of cotton field were almost twice than those in surface horizon. The iron oxides and XRD analysis indicated that the trace elements accumulation appeared to be related with the contents of crystalline iron oxide and layer silicates. Historical data from suspended sediments of the Yellow River and principal component analysis (PCA) implied that most of the metals (Cr, Ni, Cu, and Zn) were sourced from natural alluviation and sedimentation.

Conclusions

The Yellow River Delta soils were slightly polluted by heavy metals the Yellow River Delta. The special pedogenic horizon characterized by higher iron oxides and layered silicates minerals in the middle and lower part of the soil profile was found with heavy metals enrichment, which required to be studied further. Suspended sediments transported by the Yellow River were suggested to be one of the major sources for the heavy metals accumulation in the basal soils of this region.     

内蒙古草原白乃庙铜矿区土壤重金属污染特征研究

对位于内蒙古荒漠草原上的白乃庙铜矿采选矿区土壤和尾矿区周围土壤重金属污染状况进行了调查研究。结果表明,矿区土壤中Cu、Cr、Ni、Fe和Mn浓度均高于内蒙古土壤平均值。单因子指数法评价结果表明,五个调查区域土壤都受到了重金属Cu、Cr、Ni、Mn、Fe的污染,其中Cu为重污染,Cr、Ni、Mn、Fe为轻污染,Pb为安全级别,Zn和As只对某些区域有轻污染。综合污染指数法评价结果表明,五个调查区域的土壤重金属污染等级均属重污染,主要贡献元素是Cu,其次是Cr、Ni、Mn、Fe,这与尾矿砂中这些重金属的浓度是相对应的。由于周边地形复杂,多为低山丘陵,所以该地区主导风向对于尾矿库区不同方向土壤重金属污染水平的影响差异并不显著。     

Evaluating soluble toxicants in contaminated soils

Complex mixtures of water soluble materials from contaminated soils can move into groundwater and surface water by leaching, percolation, and runoff. We evaluated the potential toxicity of leachable materials from seven soils. Five soil samples were obtained at designated toxic or hazardous waste sites, and two additional soils samples were obtained from a coal storage area and from an agricultural field. Acidified tap water (pH 4.5) was used to extract toxic materials from elution columns filled with soil samples. Extracts were used as complex mixtures to conduct acute toxicity tests using Daphnia and chronic effects tests using aquatic microcosms. Three classes of effects were observed. Three soil leachates showed acute and chronic toxicity at less than 3% leachate. Two of these soils were contaminated by materials used in wood preserving, and the third soil was contaminated with heavy metals and acid. Two soils showed moderate acute toxicity but no chronic toxicity in microcosm tests. One of these soils was contaminated with low levels of chromium while the other soil was from a coal storage area. The remaining two soil samples showed no toxicity in either acute or chronic toxicity tests. One of these soils was from a reference agricultural field while the other soil was contaminated with solvents. The failure to detect toxicity in the solvent contaminated sample was attributed to the hydrophobicity of the toxicity materials. Results of these toxic screenings are in the same range as leachate toxicities estimated using other methods, although other methods use extraction materials that may interfere with some biological tests. Toxicological evaluations of materials from suspected contaminated soil are recommended for prioritizing clean up efforts at waste sites and for determining if toxic materials and contaminated soils have been effectively removed.     

The Application of Multivariate Statistical Methods for the Evaluation of Soil Profiles (8 pp)

Background, Aim and Scope   Contamination of soils does not only occur on their surface over large areas, but also in depth. Therefore a characterization of soil state after pollution demands a three-dimensional soil sampling, by what a large number of samples has to be analyzed. Analytical results could be evaluated by multivariate statistical methods, which have already been used for the evaluation of data sets containing results from soil sampling of two dimensions like areas or single profiles. In this case study, multivariate statistical methods were applied to investigate structure and interactions between features in a data set containing results of three-dimensional soil sampling. The investigated soil profiles were contaminated by emissions of a former cement and phosphate fertilizer plant. The aim of this study was to determine the remaining extent of contamination and to analyze whether pollutants are mobilized and vertically transported within the profiles. Materials and Methods: Three soil profiles were sampled in the surroundings of the plant. Grain size, organic and carbonatic bonded carbon, pH value, and the total contents of Ca, Cd, Co, Cu, F, Fe, K, Mn, Mg, Na, Ni, P, Pb, and Zn were determined. The resulting data set was evaluated by cluster analysis, linear discriminant analysis, and principal components analysis. The sequential extraction procedure according to Zeien and Brümmer was applied to analyze the binding properties of Ca, Cd, Cu, Na, Pb, and Zn from selected samples. Results: Cd was identified as contaminant of the top soils. The pH values of the bottom soils were determined to be in alkaline range, which is unnaturally high. Variables were clustered according to enrichment of variables in top soils. The samples were classified regarding their pollution state and their substrate by cluster analysis, which was confirmed by linear discriminant analysis. Geogenic and anthropogenic sources of variables as well as relationships between variables like the binding of heavy metals at organic matter were detected by using principal components analysis. The binding of heavy metals at organic matter in the top soils was confirmed by the results of the applied sequential extraction. A vertically altered distribution of Na binding was determined. Discussion: According to the current soil conditions, the uptake of heavy metals had probably occurred by the over ground part of plants during the deposition. The distribution of Na should likely result from the vertical transport of Na, which would also explain the high pH values of the bottom soils by ion exchange. Altogether, the main amount of deposited Ca, F, Na, P, and heavy metals is likely nearly insoluble bound in the top soils. Conclusions: Ten years after the end of production, the pollution of top soils in the surroundings of the former plant is still high. However, regarding the ecotoxicological relevance the now explored interactions between several soil features and elements strongly indicate that there is no short-term to medium-term risk of a mobilization of the deposited elements with the exception of Na. Recommendations and Perspectives: The results of this case study prove that multivariate statistical methods are powerful tools to explore interactions of variables and relationships in a data set derived from three dimensional soil sampling. The methods applied in this work can be highly recommended for evaluations of large data sets resulting from two- or three-dimensional samplings. Multivariate statistical methods enable the characterization of soils and their pollution state in a simple and economic way.     

Pesticide and Heavy Metals Residue in Wastewater, Soil and Plants in Wastewater Disposal Site Near Al-Lajoun Valley, Karak / Jordan

Disposal of raw wastewater and sludge creates thepotential for pesticides and heavy metal contamination. Afield study was conducted to determine the residueconcentration level of chlorinated pesticides and four heavymetals (Zn, Pb, Cu and Ni) in raw wastewater, soils andplants at Karak raw wastewater disposal site. The resultsindicated that the investigated area was heavily contaminatedwith various types of pesticides. The distribution of different pesticides in soils and wastewater was influencedby the solubility of these pesticides such that the higherthe solubility the more is present in water phase and viceversa. Vinclozoline was the dominant pesticide in most of thesamples. Some pesticides of which application is restrictedto be used in Jordan, such as DDT and its metabolites, weredetected in the investigated area.Heavy metals existed in relatively higher concentrationsin soils than in wastewater, which was due to the high pH ofthe wastewater enhancing its precipitation. Zinc was thehighest among the analyzed heavy metals in both wastewaterand soils.The residue level of both heavy metals and chlorinatedpesticides were highest at the emission source decreasinggradually with distance.     

二乙三胺五醋酸萃取后污染土壤中重金属Pb、Cu的形态分布

以硫铜矿尾矿区域土壤和库区周边受污染的农田土壤为研究对象,采用Tessier连续提取法研究了二乙三胺五醋酸(DTPA)萃取前后受污染土壤中的重金属Pb、Cu的形态变化。结果表明,两类污染土壤中的重金属Pb、Cu的形态分布各有差异,矿区土壤Pb、Cu主要以残渣态为主,农田土壤以有机结合态为主。在0.01molL-1浓度的条件下,DTPA对供试土壤Pb的萃取能力较其对Cu萃取能力强;经DTPA萃取后土壤中Pb、Cu的残渣态、碳酸盐结合态、铁锰氧化物结合态、交换态的含量分别有所下降。两种类型土壤中Pb、Cu残渣态、碳酸盐结合态、铁锰氧化物结合态、交换态变幅表现各异;矿区土壤和农田土壤中Cu的有机结合态含量有所增加,矿区土壤和农田土壤中Pb的有机结合态含量却表现各异,矿区土壤其含量有所增加,而农田土壤其含量却明显减少。