沣河沿岸土壤和优势植物重金属富集特征和潜在生态风险

测定陕西省沣河沿岸32个土壤样品和16个优势植物样品中Cr、Cu、Mn、Pb、Zn和Ni 6种重金属元素的含量,并结合数据统计与GIS制图,对土壤和植物中重金属的空间分布、富集特征及潜在风险进行分析。结果表明沣河中下游沿岸土壤和植物中Cr、Mn、Pb、Zn和Ni含量空间分布呈明显富集。土壤中Cr、Mn和Pb的几何均值分别为92.1、611.1和32.9 mg/kg,均高于陕西省土壤元素背景值;植物中Mn、Zn含量在正常范围内,Cr、Cu、Ni含量部分超标,Pb含量整体较高,地上部分对Pb的积累量达到15.5 mg/kg,约为正常情况下的7.8倍。本研究中马齿苋、艾蒿、芦苇和水蓼四种植物生物量大,对这六种重金属富集能力均较强,可作为该地区耐重金属植物。沣河沿岸土壤和植物中重金属污染值得关注。     

刺楸年轮中重金属含量动态变化及富集特性

为探索刺楸对受污染土壤重金属的富集和修复效应, 以南京栖霞山的乡土树种刺楸及其根际周边土壤为研究对象, 截取其根基部年轮盘及根际土壤样本, 采用ICP-AES法测定年轮及土壤样本中重金属(Cu、Cd、Cr、Mn、Ni、Pb、Zn)元素含量。结果表明: 栖霞山样地中的土壤受Mn、Pb和Zn污染最为严重, 存在Cu、Cd、Mn、Pb、Zn元素的高度复合污染, Cd、Cr、Cu、Ni、Zn在土壤和年轮中存在相关性, Mn和Pb则没有表现出明显的相关性; 刺楸修复受Cd、Mn、Pb、Zn污染的土壤效果并不显著, 更适用于Cr、Cu、Ni污染的土壤修复; 鉴于Cu元素含量变化特征, 刺楸也可以作为反映当地污染历史的记录载体; 刺楸年轮中的重金属元素之间存在交互作用, 其中Cd与Zn元素含量高度相关(r=0.984, p<0.01), 在刺楸年轮吸收重金属元素的过程中, Cu与Cd、Cr、Mn、Zn元素具有协同作用, Mn元素对其他元素有一定的拮抗作用。     

沈阳市住宅区小区与街道灰尘重金属污染评价

城市住宅区是人类活动的重要场所,与居民的日常生活紧密相关。为了解沈阳市住宅区小区与街道灰尘中重金属污染的空间分布,采集了不同住宅区小区与街道的灰尘样品,分析了灰尘中重金属的含量,并使用富集因子和地累积指数评估了其污染程度。结果表明,沈阳市灰尘中重金属Cr、Cd、Cu、Pb和Zn的平均含量均超过辽宁省表层土壤元素背景值。单因素方差分析表明,街道灰尘中重金属Cu、Fe、Mn和Zn的空间分布具有显著性差异,而小区灰尘中重金属Cd、Cr、Fe、Mn和Pb在空间上具有显著性差异。重金属Cd、Zn和Pb的平均污染水平较高,其中小区内Cd和Zn的污染程度高于街道。沈阳市不同方位住宅区灰尘中重金属的污染水平介于轻度污染至中度污染之间。     

城市绿化树种香樟不同器官对土壤重金属的富集特征

为了了解不同土壤重金属浓度梯度及污染梯度下香樟不同器官的富集特征,测定了香樟树叶、树枝、树干和根际土壤中6种重金属元素(Cu、Zn、Pb、Cr、Mn、Ni)的含量.结果表明: 香樟地上部分重金属含量因器官、元素种类、根际土壤重金属浓度的不同而存在差异.香樟树叶和树枝重金属含量的大小顺序均为:Mn＞Zn＞Cu＞Cr＞Pb＞Ni,树干重金属含量为:Mn＞Zn＞Cr＞Pb＞Ni＞Cu.树叶对Mn的富集系数较高,为2.409;树干对Ni的富集系数较高,分别为树叶、树枝的8.6和17倍,且在不同土壤重金属浓度梯度下,香樟树干对Cu、Zn、Pb、Cr、Ni的富集系数均明显高于其他器官.香樟地上部分器官对Cu、Zn、Pb、Cr、Mn、Ni 6种重金属元素的综合富集能力大小顺序为:树叶＞树干＞树枝.随着土壤重金属污染等级的增加,香樟地上部分各器官的富集系数均逐渐降低.研究区域平均胸径为22 cm的单株香樟对重金属元素富集效能的大小顺序为:树叶＞树干＞树枝,其中树干对Cu、Zn、Pb、Cr、Ni的积累量均显著高于树叶和树枝.表明香樟对6种重金属元素均有一定的富集能力,并且树干对Pb和Ni的富集效能明显,分别占地上部分总积累量的82.7%和91.9%,能很好地富集并稳固土壤中的Pb和Ni,可作为修复治理土壤重金属污染的备选树种.     

南京城市土壤重金属含量及其影响因素

研究了南京城市土壤重金属含量、来源及其与土壤性质的关系。结果表明,南京城市土壤中,Fe、Ni、Co、V污染不明显,但受到了不同程度的Mn、Cr、Cu、Zn、Pb污染,其中：Pb污染非常严重;重金属在土壤剖面分布没有规律性;Fe、Ni、Co、V元素主要来源于原土壤物质,Cu、Zn、Pb、Cr元素主要来源于人为输入,Mn可能在不同的土壤中来源不同;Fe、Cr、Ni、Co、V元素含量之间均呈极显著正相关,Cu、Zn、Pb、Cr元素含量之间均呈极显著正相关。Fe、Co、V、Ni含量与粘粒含量、CEC呈极显著正相关;Cu、Zn、Pb含量与粘粒含量呈极显著负相关;Cu、Zn、Pb、Cr含量与有机碳呈极显著正相关,Pb含量与pH呈极显著正相关。     

迁安市农田重金属含量空间变异性

利用地统计学和GIS相结合的方法,对河北省迁安市农田土壤耕层（0～20 cm)8种重金属含量的空间变异性进行了研究.结果表明,农田中8种重金属含量均值未超过土壤环境质量(GB15618-1995)二级标准,属于中等变异.Cu、Zn、Ni、Cr和As含量的变异函数理论模型符合指数模型,空间相关程度强;Hg和Cd含量的变异函数理论模型符合球状模型,空间相关程度中等;Pb含量具有纯块金效应,空间相关程度弱.在整个研究尺度上,Pb含量具有恒定的变异,其余7种重金属含量由空间自相关部分引起的空间变异性起主要作用,空间相关距离为11～20 km.用普通Kriging方法对Cu、Zn、Ni、Cr、Hg、As和Cd含量空间局部插值表明,北部山地重金属含量较高,而中部盆地重金属含量较低.     

某农药工业园区周边土壤重金属含量与风险评价

以苏南某农药工业园区周边30km2区域为研究区,采用同心圆法采集土壤样品183个,分析了农药工业园区周边土壤Cd、Cr、Cu、Ni、Pb、Zn、Hg和As8种重金属含量、空间变异性、来源及潜在风险.结果表明:以自然背景值为评价标准,研究区表层土壤Hg、Cu、Cd和Pb平均含量超过自然背景值,其中Hg和Cu含量最高;以国标二级标准为评价标准,土壤Cd、Cr、Ni、Pb、Zn、As6种重金属的单项污染指数平均值均小于1,Hg和Cu分别为1.59和1.05.在农药工业园区周边土壤重金属污染较重的东南方向和西北方向,随着与园区距离的增加,土壤Cd、Ni、Pb、Cr、As、Hg、Zn和Cu含量先上升、后下降、再趋于平稳.通过分析农药工业园区周边土壤重金属综合污染指数发现,距离园区约200～1000m周边土壤污染的风险较大,而1000m以外逐渐达到安全范围.利用地统计学和GIS相结合进行分析发现,8种重金属污染指数有明显的空间变异.依据相关分析与主成分分析结果推测,Zn、Ni、Cr、Pb和As主要来源于成土母质,而Hg、Cu和Cd主要与人类活动有关.     

华南地区典型燃煤电厂周边土壤重金属分布、风险评估及来源分析

为了解华南地区典型燃煤电厂周边表层土壤重金属空间分布特征,对韶关市燃煤电厂周边20处农田表层土壤中7种重金属(镍(Ni)、铜(Cu)、锌(Zn)、镉(Cd)、铅(Pb)、铬(Cr)及砷(As))的总量进行检测,并分析了其相应的空间分布规律,同时评估了周边土壤重金属的生态风险并分析其来源。结果表明:该燃煤电厂周边土壤中重金属Ni、Cu、Zn、Cd、Pb、Cr及As的平均含量分别是17.79、19.59、159.08、3.14、111.01、96.61 mg/kg和21.48 mg/kg,Cd、Pb污染情况突出,重金属Zn、Cd、Pb、Cr的分布与盛行风向密切相关。综合污染指数法表明,Cd、Pb及Zn处于重污染状态;潜在生态风险指数法表明,Cd处于严重潜在生态风险状态;地累积指数法表明,Ni、Cu整体处于无污染状态,Cd整体处于高污染状态。多种统计方法表明,Zn、Cd、Pb及Cr受燃煤电厂影响明显,Cu、As的来源不仅受燃煤电厂等工业的影响,还与该地区农业灌溉用水密切相关,Ni的分布最为均匀,受自然因素影响明显。     

黄河口盐地碱蓬湿地土壤-植物系统重金属污染评价

以黄河口盐地碱蓬湿地为例,评价了淹水和非淹水区湿地表层土壤As、Cd、Cu、Cr、Pb和Zn 6种重金属的污染程度及其在土壤-植物系统中的迁移、富集特征,分析了不同积水深度和土壤理化性质对研究区土壤重金属含量的影响.研究结果表明,与土壤或沉积物质量标准相比,黄河口盐地碱蓬湿地土壤受As和Cd污染最严重,而其它重金属污染较轻;非淹水土壤Cd、Cr和Zn含量高于淹水湿地,而As、Cu和Pb则较低;而且淹水土壤As含量随积水深度增加而呈下降趋势,但积水深度对其他重金属含量的影响不明显.相关性分析结果表明,按照受土壤关键影响因子的不同重金属(除As外)可以分为两类:第一类为Cd、Cr和Zn,这些重金属含量受土壤pH值和盐分影响较大,且相互间存在显著正相关关系,表明它们可能有相同的来源;第二类为Pb和Cu,它们受土壤pH值、盐分和有机质的影响,且Pb和Cu之间存在显著正相关关系.除Cr、Cu和Zn外,重金属在盐地碱蓬的根系内一般不发生显著富集,但绝大多数重金属都表现出地上部分的含量比根系更高的现象.     

京东板栗主产区土壤氮磷钾的空间变异

采用经典统计学和地统计学相结合的方法,对京东板栗主产区迁西县土壤氮、磷、钾的空间变异进行了分析.结果表明：迁西县土壤全量氮、磷、钾和速效氮、钾的含量普遍较低,但表层土壤速效磷含量较高;氮、磷、钾的空间分布均表现为中等变异,且以磷的变异最大.表层土壤全氮和碱解氮的分布符合高斯模型,其空间变异主要由结构性因素决定;全钾和速效钾的分布分别符合球状模型和高斯模型,前者空间变异受结构性因素和随机性因素的共同影响,空间相关性为中等;后者主要受结构性因素的影响,空间相关性强烈.氮、钾在全县范围内的空间分布特征相似,高值区均出现在县域南部和西北部,而中部和东北部的含量较低.全磷的高值区主要分布在该县北部,速效磷高值区则分布在县区南部.氮、钾全量和有效态含量之间存在极显著正相关关系,但全磷和速效磷含量的相关性不显著.     

Distribution features and internal relations of heavy metals in soil–maize system of mining area,Anhui Province,Eastern China

A total of 59 topsoil and corresponding maize plants were collected from this study area. The spatial distribution, correlation analysis, and multiple linear regression of heavy metals were researched detailedly in this article. The results showed that distribution characteristics of heavy metals (Pb, Cd, and Ni) in different parts of maize plants (immature stage) accumulated mostly in stems, with Pb mainly accumulated in roots (mature period), and Cd and Ni mostly in leaves. Except for the southeastern local region of this mining area, Mn and Cu possessed roughly similar spatial distribution characteristics. The results of partial correlation analysis indicated that Cu, Cd in the roots of the tested maize plants and Ni in soil may have antagonistic effects, Cu (soil)–Cu (stem) and Ni (soil)–Pb (stem) had a certain promoting effect. Besides, Cu, Pb, and Ni in soil promoted the absorption of Cu, Pb, and Ni in the leaves, whereas Cr and Pb in soil can promote the enrichment of Mn in maize grains. Our findings suggested that the concentrations of heavy metals in maize organs could be predicted accurately using the established models.     

海河低平原区农田重金属含量的空间变异性——以河北省肥乡县为例

随着工业和农业的快速发展,农田受到重金属污染的压力越来越大,其土壤环境质量的及时监测和掌握重金属在其空间的变异规律对农业生产具有十分重要的意义。利用地统计学和GIS技术对海河低平原区（肥乡县）农田土壤耕层（0—20Cm）8种重金属含量空间变异性进行了研究。结果表明：去除异常值后,8种重金属含量都符合正态分布,且其含量算术平均值未超过国家土壤环境质量二级标准。通过变异函数分析,Ph和Cr具有纯块金效应,Cu和Zn符合指数模型,Ni和Cd符合球状模型,地和As符合带基台值的线性模型。在该地区以2．0km为取样间距较大,以后调查时应该缩小间隔。Zn和Cd的空间变异性受人为因素影响较小,而Cu、Ni、Hg和As的空间变异性受人为因素影响较大,Ph和Cr在整个研究尺度上具有恒定的变异。Cu、Zn、Ni、Hg、As和Cd的变程差异较大,在2．5—13．7km之间。通过普通kriging法局部插值,Cu、Zn、Ni和As含量由西南部向东北部含量逐步升高,但是Hg却表现出相反的分布趋势。这将为当地正在开展的优势农产品区域布局规划提供理论依据。     

The spatial distribution,contamination, and ecological risk assessment of heavy metals of farmland soils in Karashahar–Baghrash oasis,northwest China

The issue of heavy metal pollution is of high concern due to its potential health risks and detrimental effects on human beings, animals, and plants. In this study, farmland soil samples from 79 sampling sites were collected in Karashahar–Baghrash oasis, northwest China, and the contents of eight heavy metal elements (As, Cd, Cr, Cu, Mn, Ni, Pb, and Zn) were determined by standard methods. The spatial distribution, pollution, and ecological risks of heavy metals were analyzed based on Geographical Information System (GIS) technology, contamination factor (CF), pollution load index (PLI), and potential ecological risk index (RI). Results indicated that: (1) The average contents of Cd, Cr, Ni, Pb, and Zn exceeded the background values of irrigation soils of Xinjiang by 54.0, 1.34, 1.39, 3.44, and 5.01 times, respectively. The average contents of Cd exceeded the national standard of China by 10.80 times; (2) The pollution order of CF was ranked as Cd > Zn > Pb > Ni > Cr > Cu > As > Mn, and the ecological risk order of E_rⁱ was ranked as Cd > Ni > As > Cu > Ni > Pb > Cr > Zn. The average PLI of the study area showed heavy pollution level, and the average RI of the study area fell into considerable risk; (3) The moderately polluted areas with moderate potential ecological risks distributed in the northern parts, whereas heavily polluted areas with considerable potential ecological risks distributed in the southern parts of the study area; (4) Cr, Cu, and Mn of farmland soils were mainly originated from natural factors. Cd, Ni, and Pb were mainly originated from anthropogenic factors. As and Zn may be associated with both natural and anthropogenic factors. Cd contributed most to the PLI and RI of the farmland soils in the study area.     

Spatial variability characteristics and environmental effects of heavy metals in surface riparian soils and surface sediments of Qinggeda Lake

Abstract

One hundred and twenty topsoil (0–20?cm layer) samples and 45 surface sediment samples were collected from the riparian area and bottom of Qinggeda Lake. The content of Pb, Cu, Cr, Ni, Zn, Mn, V, and As were determined to reveal the distribution characteristics and explore the spatial dependency relationship between environmental factors (pH, conductivity, and organic matter) and heavy metals using Kriging interpolation and the geographical weighted regression model. Results showed as follows: (1) The average contents of Pb, Cu, Cr, Ni, Zn, V, and As did not exceed the Standard of National Soil Environmental Quality. However, Cu, Cr, and V were higher than the Xinjiang soil background. (2) The target elements in the surface sediments of the lake showed a decreasing trend from the center of the lake to the shore. Also, the heavy metal concentrations in the eastern part of the lake shore were significantly higher than those in other areas, and the highest concentrations appeared in the paddy field. (3) The effects of the eight heavy metals on pH, conductivity, and organic matter displayed significant spatial nonstationary characteristics. Cr, As, Cu, and Zn are the primary factors that affect environmental characteristics such as pH, conductivity, and organic matter content.     

Analysis of Spatial Variations and Sources of Heavy Metals in Farmland Soils of Beijing Suburbs

To understand the effect of intense human activities in suburbs on environmental quality, we obtained 758 measurements of the heavy metals in certain farmland soils of the Beijing suburbs. Multivariate statistical analysis and geostatistical analysis were used to conduct a basic analysis of the heavy metal concentrations, the distribution characteristics and the sources of pollution of the farmland soils in these suburbs. The results showed the presence of eight heavy metals in the agricultural soils at levels exceeding the background values for As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn. In particular, all the measured Cr concentrations exceeded the background value, while As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn were present at 1.13, 1.68, 1.95, 1.43, 1.63, 0.79, 0.92 and 1.36 times their background values, respectively. The results of correlation, factor and spatial structure analyses showed that Cd, Cu, Pb and Zn were strongly homologous, whereas Cr and Hg showed a degree of heterogeneity. The analysis further indicated that in addition to natural factors, Cd, Cu, Pb and Zn in the soil were mainly associated with distribution from road traffic and land use status. Different agricultural production measures in the various areas were also important factors that affected the spatial distribution of the soil Cr concentration. The major sources of Hg pollution were landfills for industrial waste and urban domestic garbage, while the spatial distribution of As was more likely to be a result of composite pollution. The regional distribution of the heavy metals indicated that except for Cr and Hg, the high heavy metal levels occurred in districts and counties with higher organic matter concentrations, such as the northwestern and southeastern suburbs of Beijing. There was no significant Ni pollution in the agricultural soils of the Beijing suburbs.