长期重金属胁迫下的土壤微生物特征: 沈阳张士污灌区的案例研究

Soil samples were collected from Zhangshi Wastewater Irrigation Area in the suburb of Shenyang City, China, an area with a 30-year irrigation history with heavy metal-containing wastewater. The chemical properties and microbial characteristics of the soils were examined to evaluate the present situation of heavy metal pollution and to assess the soil microbial characteristics under long-term heavy metal stress. In light of the National Environmental Quality Standards of China, the soil in the test area was heavily polluted by Cd and to a lesser degree by Zn and Cu, even though wastewater irrigation ceased in 1993. Soil metabolic quotient （qCO2） had a significant positive correlation, while soil microbial quotient （qM） had a negative correlation with content of soil heavy metals. Soil microbial biomass carbon （MBC） had significantly negative correlation with Cd, but soil substrate~induced respiration （SIR）, dehydrogenase activity （DHA）, cellulase activity, and culturable microbial populations had no persistent correlations with soil heavy metal content. Soil nutrients, except for phosphorous, showed positive effects on soil microbial characteristics, which to a certain degree obscured the adverse effects of soil heavy metals. Soil Cd contributed more to the soil microbial characteristics, but qM and qCO2 were more sensitive and showed persistent responses to heavy metals stress. It could be concluded that qM and qCO2 can be used as bioindicators of heavy metal pollution in soils.     

陇海铁路郑州—圃田段铁路旁土壤重金属污染

The pollution status and horizontal distribution of heavy metals (Ni, Pb, Cr, Zn, Cu, and Cd) in the soil on railroad side along the Zhengzhou-Putian section of Longxi-Haizhou Railroad were studied by collecting soil samples along a sampling section perpendicular to the railroad at the distances of 0, 10, 20, 30, 50, 100, 200, 300, and 500 m from the railroad edge. The concentrations of heavy metals in the sampling soils were higher than those of the control site. The concentrations of Pb, Zn, and Cd were found to be the highest in the soils at the railroad edge, and then decreased with increasing distance from the railroad. The highest concentrations of Ni, Cr, and Cu in soils were located at about 10-30 m from the railroad. Compared with the single factor pollution index (SFPI) of heavy metals calculated for the control site, the average SFPI from the sampling sites decreased in the order of Cr > Cd > Pb > Zn > Ni > Cu. There were notable negative correlations between the integral pollution index (IPI) of soil heavy metals at all sampling sites and the distances from the railroad. According to three IPIs calculated from the background values of heavy metals in och-aquic Cambisols, the heavy metal concentrations in the control soil, and the 2nd levels for soil heavy metals in GB15618-1995, the study area could be divided, based on the distances from the railroad, into four pollution zones: heavy pollution zone (0-10 m), medium pollution zone (10-50 m), slight pollution zone (50-100 m), and warning zone (100-500 m), respectively.     

基于多元统计学和地统计学的土壤重金属源解析

The main objectives of this study were to introduce an integrated method for effectively identifying soil heavy metal pollution sources and apportioning their contributions, and apply it to a case study. The method combines the principal component analysis/absolute principal component scores (PCA/APCS) receptor model and geostatistics. The case study was conducted in an area of 31 km² in the urban-rural transition zone of Wuhan, a metropolis of central China. 124 topsoil samples were collected for measuring the concentrations of eight heavy metal elements (Mn, Cu, Zn, Pb, Cd, Cr, Ni and Co). PCA results revealed that three major factors were responsible for soil heavy metal pollution, which were initially identified as “steel production”, “agronomic input” and “coal consumption”. The APCS technique, combined with multiple linear regression analysis, was then applied for source apportionment. Steel production appeared to be the main source for Ni, Co, Cd, Zn and Mn, agronomic input for Cu, and coal consumption for Pb and Cr. Geostatistical interpolation using ordinary kriging was finally used to map the spatial distributions of the contributions of pollution sources and further confirm the result interpretations. The introduced method appears to be an effective tool in soil pollution source apportionment and identification, and might provide valuable reference information for pollution control and environmental management.     

长江口崇明岛土地利用方式对滨海土壤中重金属和砷的分布和形态特征的影响

The reclamation of tidal flats has been one of the important approaches to replenish the arable lands in the coastal areas; pollution status of reclaimed soils has received wide attention recently, especially for the study of heavy metals due to the relative high pollutant concentrations in wetlands. To understand the impact of land use change on heavy metal and arsenic(As) geochemistry by the reclamation of wetlands for agriculture, surface soils and soil profiles were collected from the agricultural land reclaimed in the 1990 s and the intertidal flat wetland at Dongtan on Chongming Island in the Yangtze River Estuary, China. The soil samples were analyzed for total concentrations and chemical speciation of chromium(Cr), zinc(Zn), copper(Cu), lead(Pb), nickel(Ni), cadmium(Cd) and As using inductively coupled plasma mass spectrometry(ICP-MS). Results showed that soil properties(salinity, total organic carbon and grain-size distribution) and the concentrations of heavy metals and As in the soils differed under the different land use types. The conversion of wetland to forest had caused obvious losses of all the measured heavy metals. In paddy field and dryland with frequent cultivation, the concentrations of Cr, Zn, Cu, Ni and As were higher when compared to forest land which was disturbed rarely by human activities. Speciation analysis showed that Cr, Zn, Cu, Ni and As were predominated by the immobile residual fraction, while Pb and Cd showed relatively higher mobility. In general, metal(except Ni) and As mobility decreased in the following order: wetland dryland ≥ paddy field forest land, which suggested that the reclaimed soils had lower metal and As mobility than the intertidal flat wetland. The results of this study contribute to a better understanding of the effects of land use on heavy metals and As in the reclaimed soils of the study area and other similar coastal areas.     

伊朗中部伊斯法罕地区土地利用对石灰性土壤磁性质和重金属的空间分布的影响

Anthropogenic activities have caused the accumulation of heavy metals in the soil environment. Pollution of the soils significantly reduces environmental quality and affects human health. In many recent studies, magnetic susceptibility measurements have been used for pollution monitoring. The objective of this research was to determine the spatial variability of magnetic properties and selected heavy metals and the effects of land use on their variability in the surface soils of the Isfahan region, Central Iran. A total of 158 composite surface (0-5 cm) samples of calcareous soils were collected from an area of about 700 km2, located along a cross-border transect from Isfahan City to a steel plant, covering urban, industrial, agricultural and uncultivated land uses. Concentrations of copper (Cu), zinc (Zn), lead (Pb), manganese (Mn), iron (Fe), nickel (Ni), chromium (Cr), and cobalt (Co) and magnetic parameters, magnetic susceptibility at low frequency (χlf), natural remanent magnetization (NRM), saturation isothermal remanent magnetization (SIRM), and isothermal remanent magnetization at the field of 100 mT (IRM100mT) and the backfield of 100 mT (IRM-100mT), were measured in all the soil samples. Results showed that magnetic susceptibility in the urban and industrial land topsoils (0--5 cm) samples was significantly higher than that in the agricultural and uncultivated land soils in the study area. Concentrations of Cu, Zn, Pb, Mn, and Fe were positively correlated with magnetic properties (χlf, IRM100mT, SIRM, IRM-100mT, and NRM), which could be attributed to their inputs from traffic emissions and industrial activities at the study sites. Ni and Cr concentrations showed significant negative correlations with magnetic properties. No significant correlation was found between Co concentration and magnetic parameters. The Tomlinson pollution load index (PLI) showed significant correlation with the magnetic properties (χlf, IRM100mT, SIRM, IRM-100mT, and NRM). The spatial distribution of the selected heavy metals and χlf in the study area suggested that activities at the urban and industrial land sites caused greater pollution as compared to that at the study sites of other land uses. The concentrations of Cu and Zn seemed to have been affected by anthropogenic sources, whereas Ni, Cr, and Co were mainly controlled by natural sources in the study area. Moreover, the concentrations of soil Pb and Fe in the study area could be affected by both lithologic and anthropogenic sources. The magnetic parameters appeared to be a proxy measure for the degree of heavy metal contamination and could be a potential method for the detection and mapping of contaminated soils.     

湿地土壤质量退化的模糊综合评价

Wetland soil quality degradation caused by large-scale agricultural reclamation on the Sanjiang Plain of Northeast China has been widely reported. A relative soil quality evaluation (RSQE) model and a projection pursuit evaluation (PPE) model based on real-coded accelerating genetic algorithm were introduced to evaluate quality variations in top layers of the main wetland soils on the Sanjiang Plain in 1999 and 2003, respectively. As soil quality degradation boundaries were vague, this study established two fuzzy synthetic evaluation (FSE) models based on the original data and criteria used in the RSQE and PPE models. The outputs of the two FSE models were obtained by choosing two fuzzy composite operators M (∧,∨) and M (?,⊕). Statistical analysis showed that the results of the FSE, RSQE, and PPE models were correlated. In particular, outputs of the FSE model using M (?,⊕) were significantly correlated with those of the RSQE model with r = 0.989 at P < 0.01. Compared with RSQE and PPE models, the FSE model may be more objective in showing soil quality variations and was closer to the natural situation, showing the feasibility and applicability of the FSE model in evaluating soil quality degradation. However, the choice of composite operator was of critical importance. The study of wetland soil quality degradation on the Sanjiang Plain was of scientific and practical significance for protection and management of soils and for sustainable development of agriculture in this area in the future.     

红壤重金属的复合污染

The effects of combined heavy metal pollution of red soil on the growth of wetland rice and the transfer of Pb,Cd,Cu and Zn from soil into plants were sudied by greenhouse pot experiment,The results showed that the plantyields were markedly affected by heavy metals,with the exception of Pb,in soils under the experimental conditions,without taking into consideration all the interactions among the elements.The concentrations of the elemets in plants were mainly affected by the specific element added to the soil.The effect of interactions among the heavy metals was very significant either on plant yields or on the concentration of the elements in plants.The risk assessment of a combined pollution by heavy metals in the soil is discussed preliminarily in terms of the relative pollution equivalent.     

基于多元统计和模糊模型的沣河沉积物重金属污染风险评估

Concentrations of heavy metals in 74 sediment samples from the Fenghe River, which originates from the north of the Qinling Mountains and flows through Xi’an, Shaanxi Province, China, were characterized by employing geographic information system (GIS) mapping, fuzzy synthetic assessment, and multivariate statistical analysis to determine the enrichment characteristics of heavy metals as well as their potential risks of pollution to sediments. Al, Cd, and Co were the major pollutants, with a high enrichment factor (EF) value. Heavy metal concentrations from samples near the paper plant were maintained at a high level. Significant enrichment of Al, Ba, Cr, Ni, Pb, and Co was found in the midstream and downstream, while high concentration of Cu occurred in the headwater stream. Based on the cluster and principal component analyses, sediment metals mainly came from the paper plants, agronomic practices, natural sources, and tourism, with a contribution of 51.59%, 23.01%, 14.21%, and 9.88%, respectively. Sediment pollution assessment explored using fuzzy theory based on the entropy method and toxicity coefficient showed that 26, 32, and 11 sites fell into Class III (slightly polluted), Class IV (moderately polluted), and Class V (heavily polluted), respectively, and their scores of membership degree in the polluted level were on the rise, suggesting a relatively high degree of sediment metal pollution in the study area. Closely related to the excessive industrial and agricultural applications, metal pollution in sediment is necessary to be addressed in the Fenghe River.     

华北矿区残留态铜、铅在土壤剖面中的分布与迁移

Residual heavy metals are commonly considered to be immobile in soils, leading to an underestimation of their environmental risk. This study investigated the distribution and transport of residual heavy metals along soil profiles, using the Xiaoqinling gold mining region in North China as a case study. Soil samples were collected at three depths from three locations near the tailing heap. The speciation of copper (Cu) and lead (Pb) (exchangeable, carbonate-bound, Fe-Mn oxide-bound, organic matter-bound, and residual fractions) was determined using a sequential extraction procedure. The residual fraction’s morphology was observed using scanning electron microscopy (SEM). Results showed that metal fraction distributions along the soil profiles were influenced by each fraction’s mobility. Residual fraction with high chemical stability cannot be transformed from or into other fractions. This led to the conclusion that the high concentration of residual metals in soils mainly resulted from residual fraction transport.The SEM analysis showed that fine particles (submicrons) were mainly attached to large particles and were likely released and transported by water flow. The more sorptive fractions (non-residual fractions) were mainly retained in the top soil, and the more mobile fractions (residual fraction) were mainly leached to the deep soil. Cu and Pb concentrations in the residual fraction decreased slightly and those in the non-residual fractions decreased significantly with soil depth. These suggest a relatively higher residual metal mobility along the soil pro?les. Therefore, residual metals can be transported in soils and their environmental risk can not be ignored in assessing soil contamination.     

基于模糊集理论的土壤重金属污染空间预测

基于54个土壤表层样品重金属全量浓度实验室测定数据,应用模糊c-均值算法对南京城市边缘带化工园附近20km^2样区内土壤重金属浓度进行了连续分类,对样点土壤的隶属度进行空间普通克里格插值,实现样区土壤重金属浓度和污染状况的空间预测.结果表明,样区土壤中重金属Cu、Zn、Cr、As和Cd的浓度均低于国家土壤环境质量标准,未发生污染;受工业、交通排放的影响,样区左侧和南部Cu、Zn、Cr、As较高,个别区域有Zn、Cr富集现象.Hg为样区主要的土壤重金属污染元素,土壤Hg污染主要发生在蔬菜基地及滁河流经区,较为严重的Hg污染土壤集中分布在样区中部的蔬菜基地.与利用样点测定数据直接插值的空间预测方法相比,基于模糊集理论的土壤污染空间预测方法可获得较好的预测效果.     

丘陵红壤重金属复合污染的空间变异分析

本文以江西省贵溪市江西铜冶炼厂周围的土壤重金属污染区(面积7.7km2)为例,研究了基于GIS的地统计学方法在丘陵红壤区土壤重金属复合污染空间变异分析上的应用,提出了一个空间变异分析步骤:(1)利用DGPS定位,以50~200m的随机网格采集土壤样品;(2)分析土壤重金属含量数据的分布类型和空间分布趋势,通过数据转换去除数据趋势;(3)计算半方差函数并选择最佳的拟合模型和参数;(4)通过交叉验证选择合适的克立格方法;(5)通过空间插值,绘制重金属污染空间分布图,分析空间变异规律和影响因素。空间分析结果表明,Cu和Cd的复合污染是铜冶炼厂污染区的主要污染特征,基于ArcGIS的地统计学分析模块可以较准确地分析丘陵区土壤重金属复合污染的空间变异特征。     

模糊c-均值算法在区域土壤预测制图中的应用

基于模糊c-均值算法和地统计学空间插值,在面积约为1km2的研究区内进行区域土壤预测制图。研究结果表明:根据研究区123个剖面和土钻样点,通过分析它们在形态学上的特征和定量属性,建立了9类诊断特征土层。通过FCM算法模型,获得4类最佳分类数,模糊指数为1.7。类别数目与研究区受地形、母质和土地利用方式影响的主要成土过程决定的土纲下土壤类型数目一致。将经过对称对数比转换的隶属度成分数据进行单一模糊类别隶属度土壤预测制图,4种类别土壤在空间上具有明显的渐变过渡特征,制图结果较理想。在单一类别隶属度土壤图的基础上生成最大隶属度土壤图,与常规土壤调查土壤图具有共同参比的基础。     

冶炼厂周边土壤重金属污染范围的界定与不确定性分析

在浙江省富阳市某冶炼厂周边以网格法采集了147个表层土壤样品,测定了铜、锌、铅和镉总含量。运用组合预测法(普通块状克里格法和三角网格插值法)预测了研究区各种重金属含量的空间分布,又运用指示克里格法预测了研究区各种重金属的污染概率;再分别依据土壤污染临界值(土壤环境质量标准)和污染概率的临界值(50%)来界定各种重金属的污染范围。本研究将基于两种方法的界定结果相对比来综合界定污染范围,并将污染土壤重金属污染状况分为污染、未污染和不确定。综合界定结果表明,研究区分别有71.7%、80.0%、3.0%、83.1%的区域土壤被重金属Cu、Zn、Pb、Cd所污染,不能被确定是否被重金属Cu、Zn、Pb、Cd所污染的区域分别占20.8%、10.5%、12.5%和10.9%。     

城市边缘带土壤重金属空间变异及其污染评价

为揭示城市边缘带强烈人为活动对土壤环境质量的影响，本研究以上海梅山钢铁集团附近14km^2区域为研究区，网格化精确布点，采集表层土壤样品计93个并对其重金属Cu、Zn、Pb、Cr、Cd、Hg、As含量进行了测定分析。结果表明，研究区表层土壤中除Hg和Cd外的其他5种重金属含量均未超过国家二级标准，其中有些土壤中重金属含量接近或略高于南京市土壤环境背景值，但与研究区表层土壤元素地球化学背景值平均水平及空间变异特征基本相符；研究区表层土壤中Hg污染严重，61．3％的样点土壤Hg含量超过国家二级标准。另外，本研究应用地统计学普通克里格插值方法，对研究区内表层土壤污染的空间变异特征进行了分析，并讨论了土壤污染重点空间区域潜在污染源及其污染途径。     

污灌区土壤重金属空间结构与分布特征

该文探讨了地统计学插值模型应用于土壤重金属污染评价的适用条件,分析了北野场污灌区土壤重金属的正态分布特征和主导分布趋势,提出了不同重金属因子适宜的地统计插值模型。结果表明:土壤重金属空间变异系数处于12%～37%之间,整体变异性不大;Pb、Cd等因子的块金效应分别为0.90、0.87,空间相关性较弱,受人为随机因素的影响较大,As、Cr、Zn、Cu值等因子的块金效应分别为0.52、0.51、0.51和0.46,空间相关性中等,受人为随机因素和空间结构因素的共同作用,Hg和Ni的块金效应分别为0.253和0.06,空间相关性较强,受空间结构性因素的影响较大,可能受原生地质的影响较大。污灌区重金属含量存在增加趋势,灌区土壤重金属含量自北向南总体呈现较少趋势,这与灌区上下游灌溉保证率不同有关,表明长期污水灌溉可导致土壤重金属富集,但与全国其他污灌区相比,北野场污灌区土壤重金属污染相对较轻,应加强污水处理利用避免土壤重金属污染。     

Geostatistical modelling and mapping of nematode-based soil ecological quality indices in a polluted nature reserve

Nematodes are indicators of soil quality and soil health. Knowledge of the relationships between nematode-based soil quality indices and environmental properties is beneficial for assessing environmental threats on soil biota. This study evaluated the spatial distribution of nematode-based soil quality indices in a 23-ha heavy metal-polluted nature reserve using geostatistical methods. We expected that a selection of abiotic soil properties (pH and moisture, clay, organic matter, cadmium (Cd), and zinc (Zn) contents) could explain a significant portion of the spatial variation of the indices and that regression kriging could more accurately model their spatial distribution than ordinary kriging. A stratified simple random sampling scheme was used to select 80 locations where soil samples were taken to extract nematodes and derive the indices. The area had a distinct gradient in soil properties with Cd and Zn content ranging from 0.07 to 68.9 and 5.3 to 1329 mg kg^-1, respectively. Linear regression models were fitted to describe the relationships between the indices and soil properties. By also modelling the spatial correlation structure of regression residuals using spherical semivariograms, regression kriging was used to produce maps of the indices. The regression models explained between 21% and 44% of the total original variance in the indices. Soil pH was a significant explanatory variable in almost all cases, while heavy metal conent had a remarkably low effect. In some cases, the regression residuals had spatial structure. Independent validation indicated that in all cases, regression kriging performed slightly better because of having lower values of the root mean square prediction error and a mean prediction error closer to zero than ordinary kriging. This study showed the importance of soil properties in explaining the spatial distribution of biological soil quality indices in ecological risk assessment.     

基于GIS的黄淮海平原典型潮土区土壤重金属积累研究

以黄淮海平原典型潮土区——河南省封丘县为例,基于GIS数据统计分析方法和地统计学空间插值方法,其目的是为了:(1)明确土壤重金属Cr、Hg、As、Cu、Zn的当前含量水平及其历史变化趋势;(2)通过与潮土自然背景值(背景值)、国家土壤环境质量标准一级标准(一级标准)和绿色食品产地环境质量标准(绿色标准)的比较,阐明各重金属元素符合不同标准的土壤面积及其空间分布;(3)在上述研究基础上采用内梅罗综合指数法定量评价基于一级标准的土壤重金属综合环境质量及其县域分布.结果表明,5种重金属含量平均值除Hg与背景值相当外,其余均略高于背景值而远低于一级标准,除As外,土壤Cr、Hg、Cu、Zn含量均有随年限增加的趋势;占全县土壤总面积98％以上的Cr、As、Zn含量,100％的Hg含量,91％以上的Cu含量符合一级标准,超过99％以上的土壤符合绿色标准;基于一级标准的内梅罗综合指数进一步表明封丘地区土壤综合环境质量良好,仅有不足3％的土壤受到轻度污染.表明就重金属污染角度,当前状况下的封丘土壤适宜种植各类农作物,但个别超过绿色标准的地点应引起重视并及时采取防治措施.     

Heavy metal pollution of urban soils

The chemical properties of urban soils (southeastern administrative district, Moscow) affecting the behavior of heavy metals were studied. The current heavy metal pollution level of the soils was assessed. The use of different approaches for the pollution standardization is shown to produce different results. The fractional composition of the metal compounds in the soils and the factors affecting its formation under technogenic pollution were investigated. In the district studied, the distribution of heavy metals by the fractions primarily depended on the chemical properties of the heavy metals themselves; the pollution level; and, to a lesser degree, on the soil properties. Zinc and cadmium were the most mobile metals in the soils studied.