博斯腾湖湿地边缘带农田土壤重金属的污染风险评价

对新疆博斯腾湖湿地边缘带农田土壤中8种重金属元素(As、Cd、Cr、Cu、Mn、Ni、Pb和Zn)地球化学特征进行分析。采用污染负荷指数(PLI)、潜在生态风险指数(RI)和生态风险预警指数(IER)对农田土壤重金属污染与环境风险进行评价。结果表明:(1)湿地边缘带农田土壤Pb和Zn呈现重度污染,As、Cd、Cr和Ni轻度污染,Cu轻微污染,Mn无污染。土壤As、Cd、Cr、Cu、Ni、Pb和Zn平均含量处于轻微风险水平。Cd是污染程度与生态风险等级最高的重金属元素;(2)湿地边缘带农田土壤PLI平均值为1.43,呈现轻度污染,RI平均值为20.62,呈现轻微生态风险状态,IER的平均值为–4.53,呈现无警态势。湿地边缘带PLI、RI与IER空间分布格局基本一致;(3)湿地边缘带农田土壤Pb与Zn来源主要受到人类活动的影响,Cr、Cu、Mn与Ni来源主要受到土壤地球化学作用的控制,As与Cd受自然因素和人为因素共同影响。     

新乡市大棚菜田土壤重金属积累特征及污染评价

采用微波消解-ICP-AES技术,测定不同种植年限大棚菜田土壤样品中As、Pb、Zn、Cd、Cr、Mn、Ni、Cu等重金属的含量,研究不同种植年限与大棚菜田土壤重金属累积的相关性以及大棚菜田土壤重金属累积特征,并利用地积累指数法进行污染评价。结果表明:大棚菜田土壤重金属Zn、Pb、Ni、Mn和Cu的含量与种植年限具有极显著相关性;大棚菜田土壤中重金属Cd和Cr的含量与种植年限不相关。重金属元素间相关性分析表明,Zn与Pb、Cd、Ni、Mn、Cr、Cu,Pb与Cd、Ni、Mn、Cr、Cu,Cd与Ni、Mn、Cr,Ni与Mn、Cr、Cu,Mn与Cr、Cu具有污染同源性,Cu与Cd、Cr不具有污染同源性。地积累指数法污染评价结果显示Cd的污染等级达到了6级,已构成了极严重污染;Zn和Cu的污染等级达到2级,已构成了中度污染;Pb、Mn的污染等级达到1级,已经构成了轻~中度污染;As、Ni、Cr均未构成污染。     

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.     

福建闽江河口湿地土壤重金属污染特征及评价研究

为掌握福建闽江河口湿地重金属污染特征,对闽江河口湿地不同监测点重金属污染状况进行全面调查采样,利用综合污染指数法和地累积指数法对重金属污染状况进行评价。结果表明,福建闽江河口湿地重金属污染比较严重,除Ni和Cr外,Cu、Pb、Zn、Cd、Mn均超过土壤环境质量标准（I级）。除Ni和Cr单项污染指数无污染外,其他监测点均有不同程度的重金属污染,污染程度表现为Pb〉Cu〉Zn〉Cd;综合污染指数除潭头港和鳝鱼滩为轻度污染,其他6个监测点均达到中度污染以上,表明闽江河口湿地存在严重的重金属复合污染。地累积指数除Pb、Zn、Cd污染达到中或轻度污染水平,其他重金属均无污染。     

Risk assessment,spatial distribution,and source identification of heavy metal(loid)s in paddy soils along the Zijiang River basin,in Hunan Province,China

Purpose

This study aimed to reveal spatial distribution of As, Cd, Cr, Cu, Mn, Ni, Pb, Sb, V, and Zn in paddy soils in the Zijiang River basin and to evaluate its pollution status and potential ecological risks, and thus to provide basic information for rational utilization of paddy soils in the study area.

Materials and methods

The heavy metal(loid) concentrations in one hundred and thirty-five paddy soil samples (these samples were collected from the top 0–20 cm layer) were measured by inductively coupled plasma-optical emission spectrometry. The spatial distribution characteristics of the heavy metal(loid)s were depicted by the Ordinary Kriging interpolation analysis. The contamination degree and potential ecological risks of the heavy metal(loid)s in paddy soils were assessed by Nemerow’s comprehensive index, geoaccumulation index, potential ecological risk factor, and potential ecological risk index. The potential sources of the heavy metal(loid)s were deduced by Pearson’s correlation analysis, hierarchical cluster analysis, and principal component analysis.

Results and discussion

The mean concentrations of the heavy metal(loid)s decreased in the order of Mn?>?V?≈?Zn?>?Cr?>?Ni?≈?Pb?>?Cu?≈?Sb?>?As?>?Cd. Except for Cd and Sb, the mean concentrations of As, Cr, Cu, Mn, Ni, Pb, V, and Zn were close to the background reference values. The concentration of Cd in 94.8% of samples exceeded the soil quality standard value (grade II, 5.5?<?pH?<?6.5, GB 15618–1995). According to the assessments of pollution and potential ecological risks for the heavy metal(loid)s, 45.2% and 46.7% of samples were severely polluted and moderately polluted, respectively. The potential sources analysis indicated that Cd, Sb, and Zn mainly originated from agricultural, mining, and smelting activities; As, Cu, and Pb mainly originated from agricultural activities, while coal combustion by-products was another major source of these heavy metal(loid)s in paddy soils near the thermal power plant in the southwest corner of the study area; Cr, V, Mn, and Ni mainly originated from natural source.

Conclusions

Cadmium and Sb are the main contaminants in paddy soils in the study area, and there are hot-spot pollution areas.

     

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。     

龙游硫铁矿区农田土壤重金属污染的空间 变异及在水稻中的积累

为了解浙江龙游硫铁矿区农田重金属污染状况,采集矿区265件农田土壤样品,分析8种重金属Cu、As、Hg、Zn、Cd、Ni、Pb、Cr元素全量,利用地统计学软件GS+9.0对研究区土壤各元素指标进行半变异函数拟合,并利用普通克里格法进行插值并绘制空间分布图。采集30件水稻籽粒样品,分析重金属在研究区中水稻籽粒的累积特征,并进行了健康风险评价。结果表明:矿区土壤中8种重金属元素的变异系数从0.72到1.76,离散程度较高。8种重金属的土壤空间半变异函数Cu、As、Hg元素符合指数模型,Zn、Cd、Ni、Pb符合球状模型,Cr符合高斯模型。元素Cu、Pb、Zn、Cr、Ni的块金值与基台值的比值C0/C0+C都小于0.25,说明空间变化主要受地质背景等因素影响;元素Cd、Hg和As的块金值与基台值的比值C0/C0+C在0.25~0.75之间,说明除了地质背景因素,人为活动等随机因素也有影响。矿区水稻籽粒中重金属Ni和Cd的变异系数最高,分别为0.95和0.87,说明Ni和Cd元素可能存在异常积累。矿区水稻籽粒对重金属的富集能力由大到小依次为Cd、Zn、Cu、Ni、As、Hg、Cr、Pb。健康风险评价结果表明矿区农田水稻籽粒中元素As、Cd的风险商大于1,存在潜在健康风险;而其他6种重金属Cu、Hg、Zn、Ni、Pb和Cr基本属于安全范围。     

太原市污灌区土壤重金属污染现状评价

对太原市污灌区土壤重金属分布特征进行了分析评价,结果表明重金属Pb、Zn、Cu、Ni、Mn、Cr、As、Hg、Cd含量均值均未超过土壤环境质量标准（GB15618—1995）,但其平均值均显著高于太原市土壤背景值。各重金属间的相关分析表明,Pb、Zn、Cu、Ni、Mn、Cr、As、Cd之间呈极显著相关,说明这8种元素污染源可能相同。Hg是本区表层土壤重金属污染的主要因子,重金属元素的污染程度依次为Hg〉Cd〉Pb〉As〉Cu〉Zn〉Cr〉Mn〉Ni。土壤重金属单项污染指数均值均大于1,综合污染指数为2.81,总体上,污染水平为中度及其以上。各种重金属单因子污染指数和综合指数在研究区有相似的空间分布格局,总体分布趋势为东南部小店地区和中南部晋源区相对较高,南部清徐县相对较小;通过因子分析并结合污灌区污染源调查,表明Hg除受污水灌溉的影响外,燃煤释放的Hg可能是重要来源之一,Cd、Zn、Pb和Cu可能来自污水灌溉和大气沉降,以污水灌溉的贡献为主,Ni、Mn、As、Cr来自污水灌溉。Hg、Cd是太原市污灌区土壤中需要优先控制的重金属。     

松嫩平原产油区农田土壤重金属含量及污染风险评价

  目的  为探明松嫩平原石油开采及石化工业活动区周边农田土壤重金属污染分布及风险状况。  方法  在大庆市让胡路区选择代表性农田采集96份土壤样品,测定重金属（Cd、Hg、Ni、Pb、Cu、Zn、Cr、As）含量;在利用地统计学克里金插值法分析重金属含量空间分布特征的基础上,采用地积累指数法和潜在生态危害指数法对该地区农田土壤重金属污染状况及其生态风险进行评价。  结果  该区土壤中Cd和Ni的含量分别为土壤背景值的1.39倍和1.27倍。在对各样点Pb、Zn、Cu和Cr 4种元素含量分析中,均出现不同程度的高于土壤背景值的样点。重金属Cd的地积累指数平均值为0.11,达到轻度~中度污染水平。研究区土壤重金属潜在生态危害风险指数（RI）平均值为84.84,从大到小为Cd > Hg > Ni > As > Pb > Cu > Zn > Cr,其中Cd的RI值最大为190.23,达到中等生态危害范围。研究区农田土壤重金属含量在空间分布上表现为:Cd、Zn和Pb含量高值区出现在中部地区,其它重金属元素含量高值区分布比较零散。  结论  研究区域内,8种重金属含量的平均值均低于风险筛选值,Cd和Ni两种重金属平均含量超出了背景值,从地积累指数来看,Cd污染等级为1级,其它7种元素均处于无污染水平。从潜在生态风险分析可知,该区域污染程度属于轻度生态危害范围。     

苦水玫瑰产地土壤重金属污染评价与溯源解析

探明特色农产品产地土壤重金属污染特征及其污染来源可促进特色农作物产业的健康有序发展,对于助力乡村振兴和发展乡村特色产业具有重要意义。该研究以苦水玫瑰产地土壤为研究对象,应用内梅罗综合污染指数法、污染负荷指数法和改进物元可拓模型来量化土壤重金属As、Cd、Cr、Cu、Hg、Ni、Pb和Zn的污染水平并进行对比分析,还利用正定因子矩阵模型(positive matrix factorization, PMF)进行土壤重金属溯源解析。结果表明:1)研究区土壤除Hg和Cr的均值低于兰州市和甘肃省土壤背景值之外,其余As、Cd、Cu、Ni、Pb和Zn的均值都高于二者的背景值,但所有元素的测定值均低于《土壤环境质量农用地土壤污染风险管控标准(试行)(GB 15 618-2018)》(pH值大于7.5)的筛选值。2)内梅罗综合污染指数和污染负荷指数分别处于0.71～2.02和0.64～1.48之间,均值为1.41和1.17,土壤总体上为轻度污染。改进物元可拓模型评价结果显示研究区土壤总体上处于尚清洁状态,与内梅罗综合污染指数与污染负荷指数评价结果基本一致,但改进物元可拓模型的评价结果更具有实际指导意...     

Standards for the contents of heavy metals and metalloids in soils

In line with the present-day ecological and toxicological data obtained by Dutch ecologists, heavy metals/metalloids form the following succession according to their hazard degree in soils: Se > Tl > Sb > Cd > V > Hg > Ni > Cu > Cr > As > Ba. This sequence substantially differs from the succession of heavy elements presented in the general toxicological GOST (State Norms and Standards) 17.4.1.02-8, which considers As, Cd, Hg, Se, Pb, and Zn to be strongly hazardous elements, whereas Co, Ni, Mo, Sb, and Cr to be moderately hazardous. As compared to the general toxicological approach, the hazard of lead, zinc, and cobalt is lower in soils, and that of vanadium, antimony, and barium is higher. The new sequence also differs from that of the metal hazard in soils according to the Russian standard on the maximal permissible concentration of mobile metal forms (MPC_mob): Cu > Ni > Co > Cr > Zn. Neither an MPC_mob nor an APC_mob has been adopted for strongly hazardous thallium, selenium, and vanadium in Russia. The content of heavy metals in contaminated soils is very unevenly studied: 11 of them, i.e., Cu, Zn, Pb, Ni, Cd, Cr, As, Mn, Co, Hg, and Se, are better known, while the rest, much worse, although there are dangerous elements (Ba, V, Tl) among them.     

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。     

The transfer of heavy metals to barley plants from soils amended with sewage sludge with different heavy metal burdens

Purpose

Our main aim objective was to evaluate the transfer of Cd, Cr, Cu, Ni, Pb and Zn to barley (Hordeum vulgare) grown in various soils previously amended with two sewage sludges containing different concentrations of heavy metals. This allowed us to examine the transfer of heavv metals to barley roots and shoots and the occurrence of restriction mechanisms as function of soil type and for different heavy metal concentration scenarios.

Material and methods

A greenhouse experiment was performed to evaluate the transfer of heavy metals to barley grown in 36 agricultural soils from different parts of Spain previously amended with a single dose (equivalent to 50 t dry weight ha^?1) of two sewage sludges with contrasting levels of heavy metals (common and spiked sludge: CS and SS).

Results and discussion

In soils amended with CS, heavy metals were transferred to roots in the order (mean values of the bio-concentration ratio in roots, BCF_Roots, in brackets): Cu (2.4)?~?Ni (2.3)?>?Cd (2.1)?>?Zn (1.8)?>?Cr (0.7)?~?Pb (0.6); similar values were found for the soils amended with SS. The mean values of the soil-to-shoot ratio were: Cd (0.44)?~?Zn (0.39)?~?Cu (0.39)?>?Cr (0.20)?>?Ni (0.09)?>?Pb (0.01) for CS-amended soils; Zn (0.24)?>?Cu (0.15)?~?Cd (0.14)?>?Ni (0.05)?~?Cr (0.03)?>?Pb (0.006) for SS-amended soils. Heavy metals were transferred from roots to shoots in the following order (mean values of the ratio concentration of heavy metals in shoots to roots in brackets): Cr (0.33)?>?Zn (0.24)?~?Cd (0.22)?>?Cu (0.19)?>?Ni (0.04)?>?Pb (0.02) for CS-amended soils; Zn (0.14)?>?Cd (0.09)?~?Cu (0.08)?>?Cr (0.05)?>?Ni (0.02)?~?Pb (0.010) for SS-amended soils.

Conclusions

Soils weakly restricted the mobility of heavy metals to roots, plant physiology restricted the transfer of heavy metals from roots to shoots, observing further restriction at high heavy metal loadings, and the transfer of Cd, Cu and Zn from soils to shoots was greater than for Cr, Ni and Pb. Stepwise multiple linear regressions revealed that soils with high sand content allowed greater soil-plant transfer of Cr, Cu, Pb and Zn. For Cd and Ni, soils with low pH and soil organic C, respectively, posed the highest risk.     

Pollution assessment and spatial variation of soil heavy metals in Lixia River Region of Eastern China

Purpose

The effect of soil heavy metals on crops and human health is an important research topic in some fields (Agriculture, Ecology et al.). In this paper, the objective is to understand the pollution status and spatial variability of soil heavy metals in this study area. These results can help decision-makers apportion possible soil heavy metal sources and formulate pollution control policies, effective soil remediation, and management strategies.

Materials and methods

A total of 212 topsoil samples (0–20 cm) were collected and analyzed for eight heavy metals (Cd, Hg, As, Cu, Pb, Cr, Zn, and Ni) from agricultural areas of Yingbao County in Lixia River Region of Eastern China, by using four indices (pollution index (PI), Nemerow pollution index (PI_N), index of geo-accumulation (I _geo), E _i /risk index (RI)) and cluster analysis to assess pollution level and ecological risk level of soil heavy metals and combining with geostatistics to analyze the concentration change of heavy metals in soils. GS+ software was used to analyze the spatial variation of soil heavy metals, and the semi-variogram model is the main tool to calculate the spatial variability and provide the input parameters for the spatial interpolation of kriging. Arcgis software was used to draw the spatial distribution of soil heavy metals.

Results and discussion

The result indicated that the eight heavy metals in soils of this area had moderate variations, with CVs ranging from 23.51 to 64.37 %. Single pollution index and Nemerow pollution index showed that about 2.7 and 1.36 % of soil sampling sites were moderately polluted by Cd and Zn, respectively. The pollution level of soil heavy metals decreased in the order of Cd?>?Zn?>?Pb?>?As?>?Cu?>?Cr?>?Ni?>?Hg. The I _geo values of heavy metals in this area decreased in the order of Zn?>?Cd?>?As?>?Pb?>?Cu?>?Cr?>?Hg?>?Ni. According to the E _i index, except Cd that was in the moderate ecological risk status, other heavy metals in soils were in the light ecological risk status, and the level of potential ecological risk (RI) of soil sampling sites of the whole area was light.

Conclusions

The results of four indices and the analysis of spatial variation indicated that the contents of Cd and Zn were contributed mainly by anthropogenic activities and located in the south-east of this study area. However, the contents of Hg, As, Cu, Pb, Cr, and Ni in soils were primarily influenced by soil parent materials.

     

山东省沂源县土壤重金属来源分布及风险评价

为建设高标准农田及保证食品安全,对土壤重金属污染状况进行精确评估极为关键。选取山东省山地丘陵区典型区域—沂源县为研究区,系统采集427个表层土壤样品(0~20 cm),测定了As、Cd、Co、Cr、Cu、Mn、Ni、Pb、Hg和Zn共10种重金属含量;采用多元统计分析和地统计分析方法,揭示了土壤重金属的主要来源;进一步分析得出研究区重金属的空间分布以及与成土母质、工业排放和农业生产污染之间的关系。研究表明:1)沂源县表层土壤中10种重金属元素的平均含量值均高于土壤背景值但未超过国家二级土壤元素限定值,存在一定程度的重金属富集。2)经主成分分析和单因素方差分析后将研究区重金属的来源主要分为3类:As、Co、Cu和Mn主要来源于成土母质,属自然源因子;Hg、Cd、Zn和Pb受到母质和工农业污染双重控制,属于混合来源;Cr和Ni主要是成土母质影响下的自然来源。3)自然来源重金属含量的高值区主要与石灰岩成土母质类型分布相一致,Hg、Cd、Zn和Pb元素含量的高值区与工业区分布基本一致。4)通过潜在生态风险评价,沂源县表层土壤目前处于中度潜在生态风险等级,其中Hg和Cd潜在生态风险最强,达到中度生态危害,其他元素具有轻微的潜在生态危害。研究中通过多元统计-地统计模拟分析法有效的揭示了土壤重金属污染源汇特征,可作为评估该区土壤污染现状和对土壤重金属污染进行风险评价的重要依据。     

天津市不同土地利用方式下土壤重金属污染特征及评价

[目的]查明天津市土壤重金属污染的现状及污染源,为防治土壤重金属污染提供理论依据。[方法]选择天津市工业用地、一般农田、水源地、养殖场及蔬菜基地土壤为研究对象,共采集146个样品。通过分析不同土地利用方式下的土壤重金属含量,采用单因子污染指数法和内梅罗综合污染指数法评价重金属污染程度,并对重金属的来源进行解析。[结果]天津市土壤整体污染水平相对较轻,但土壤中均存在不同程度的重金属积累。Pb,Ag和Cd重金属污染面积较大,超标率分别为84.25%,76.71%和68.49%。不同土地利用类型影响到重金属的积累程度和积累类型。在研究区的5种土地利用方式中,蔬菜基地土壤中总重金属的累积程度最高,主要重金属包括Cd,Hg,As,Cr,Cu,Ni,V,Mn,Co和Ag等。工业用地土壤中的Zn污染显著高于其他土地利用方式,而农田土壤和畜禽养殖场土壤中的Pb污染较显著。[结论]天津市土壤污染水平相对较轻。但从土地利用方式来看,工业用地、农田和畜禽养殖场土壤Pb及Zn等污染较重,在土地利用和管理中应该予以关注。     

长江干流沿江地区土壤重金属的分布、来源及潜在生态风险

为掌握长江干流沿江地区土壤重金属状况,开展土壤表层样品采集和重金属空间分布研究,使用PMF（positive matrix factorization）模型解析土壤重金属来源,并选取地累积和潜在生态风险等方法,评估重金属的污染状况和生态风险。结果表明：1）土壤重金属的积累程度不同,As、Cd和Cu的超标率高,污染明显。Cd和Cu的变异系数高于1.0,分布不匀,受某些污染源的影响显著。2）各重金属含量呈现条带状的空间格局,在多个地区出现高值,土壤环境质量受到人类活动的负面影响。3）土壤重金属积累主要来源于自然、工业排放、交通运输和农业生产,贡献率分别为36.65%、28.48%、20.07%和14.80%。其中Cd与工业活动有关,Pb和Zn来自交通排放,Cr和Ni与自然源密切相关,As和Cu来源于农业生产。4）Cd的污染程度最高,81.88%的点位达到轻度污染。40%以上的点位受到As、Cu、Ni和Pb污染。75%以上点位的Cr和Zn含量较低,污染程度不高。单项生态风险指数的均值从大到小依次为：Cd、As、Ni、Cu、Pb、Zn、Cr。综合生态风险指数均值为63.17,处于轻微风险水平。该研究作为土壤生态调查的核心,可为土壤环境管理和重金属污染修复提供科学依据。     

沈阳地区河流灌渠沿岸农田表层土壤中重金属的污染现状评价

用地积累指数法和单因子内梅罗综合指数法研究了沈阳地区蒲河、浑河、细河以及沈抚灌渠周边农田表层土壤中7种重金属的污染状况。结果表明,表层土壤中As、Hg、Cd、Pb和Cr的最大值出现在细河周边,Zn和Cu的最大值出现在沈抚灌渠周边,Hg、Cd、Pb、Zn、Cu、Cr6种重金属的平均含量在各个区域中差别明显。Cd与Hg之间的相关系数高,表明Cd、Hg来源相同;Pb、Zn、As、Cu相关性好,判定可能来自同一来源。地积累指数和单因子内梅罗综合指数计算结果表明,Cd、Hg、Zn污染在这些河流地区较普遍,Pb、Cu、Cr和As在部分地区受到污染,部分细河沿岸农田土壤受到严重污染。     

规模化猪场区域农田土壤重金属积累及影响评价分析

为了解长期灌溉猪场废水对农田土壤重金属的影响,采集了河北省京安猪场区域农田清洁区和灌溉8年猪场废水污灌区的耕层(0～20 cm)共52个土壤样品,并测定了样品的pH、养分和Zn、Cu、Cr、Ni、Pb和As全量和有效态含量,根据背景资料、相关分析和主成分分析确定重金属污染来源,应用富集因子分析重金属积累程度,并应用污染指数进行重金属影响评价分析。结果表明,灌溉猪场废水对土壤主要带来Zn和Cu的富集,对Ni、Cr和As几乎没有富集效应,Pb和As的富集主要由施用化肥引起。尽管灌溉8年猪场废水后土壤的Zn、Cu、Cr、Ni、Pb和As含量在安全范围内,但土壤重金属有效态含量不仅与重金属全量正相关,还与土壤pH负相关,而灌溉猪场废水会降低土壤pH,从而增加土壤重金属有效态含量。因此,长期灌溉猪场废水不但要注意土壤Zn和Cu积累,还需采取措施降低土壤Zn、Cu等重金属有效态含量以防重金属带来环境风险。     

Increasing the Knowledge of Heavy Metal Contents and Sources in Agricultural Soils of the European Mediterranean Region

This paper contributes to increase the knowledge of the contents and sources of heavy metals (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn) to agricultural soils in Castellón province (Spain), a representative area of the European Mediterranean region. The surface horizons of 77 agricultural soils under vegetable crops were sampled and heavy metals were analysed by atomic absorption spectroscopy (AAS) after microwave extraction using the USEPA 3051A method. Mean heavy metal contents were similar to those obtained in other areas of this region. However, heavy metal contents (e.g. Cr, Pb) in some soils were above the maximum limit set in the 86/278/CEE Directive. Multivariate analysis (correlation analysis and principal component analysis – PCA) was performed so as to identify the sources of heavy metals to soils. Co, Fe and Ni were highly correlated amongst them (r?>?0.800; p?<?0.01), whereas Cr and Mn were less correlated with Co, Fe and Ni (r?>?0.500; p?<?0.01). Other relationships among heavy metals (i.e. Cu, Pb and Zn) were also identified, although correlation coefficients were not so high as those among Co, Fe and Ni (r?<?0.500; p?<?0.01). Contents of Co, Fe, Mn and Ni were interpreted to be mainly associated with parent rocks corresponding to the first principal component (PC1). On the other hand, Cd, Cu, Pb and Zn were interpreted to be mainly related to anthropogenic activities and comprised the second (Pb and Zn) and the third (Cd and Cu) principal components (PC2 and PC3, respectively), designated as anthropogenic components. Remarkably, Cr appears to be related in the study area to both the lithogenic and the anthropogenic components. Lithogenic elements were highly correlated with soil properties. Positive relationships with CEC (r?>?0.200; p?<?0.05) and clay (r?>?0.400; p?<?0.01), and negative relationships with carbonates (r?>??0.400; p?<?0.01) and sand (r?>??0.300; p?<?0.01) were observed. Anthropogenic elements were less correlated with soils properties, since these elements are generally more mobile because they form more soluble chemical species associated to anthropogenic sources. Particularly, no correlation was found between Cd and Zn and soil properties. These findings extend results achieved in other parts of the region, highlighting the need to set soil quality standards in order to declare soils affected by anthropogenic pollution, particularly in the case of anthropogenic metals such as Cd, Cu and Pb, and also Cr and Zn in some areas. Further knowledge from other areas in this region would improve the basis for proposing such standards at regional level, which is a priority objective in Europe according to the European Thematic Strategy for Soil Protection.