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1.
A total of 50 farmland soil samples were collected from the Yanqi County, Xinjiang, China, and the concentrations of eight heavy metal elements (As, Cd, Cr, Cu, Mn, Ni, Pb and Zn) were determined by standard methods. The spatial distribution, pollution level and ecological risk status of heavy metals were analyzed based on GIS technology, the Geo-accumulation Index (Igeo), the Pollution Load Index (PLI) and the Potential Ecological Risk Index (RI). Results indicated that: (1) The average contents of Cd, Cr, Ni, Pb, and Zn of farmland soils exceeded the background values of irrigation soils in Xinjiang by 1.5, 1.40, 1.33, 2.63, and 4.92 times, respectively. Cd showed a no-pollution level, Zn showed a partially moderate pollution level, Pb showed a slight pollution level, and Cr, Cu, As, Mn, and Ni showed no-pollution level, compared to the classification standard. The PLI values of heavy metal elements of farmland soils varied from 0.83 to 1.89, with an average value of 1.29, at the moderate pollution level. (2) The Individual Potential Ecological Risk Index for heavy metals in the study area was ranked in the order of: As > Ni > Cu > Cd > Pb > Cr> Zn. The RI values of heavy metals of farmland soils varied from 3.45 to 11.34, with an average value of 6.13, at the low ecological risk level. (3) Cu and Mn of farmland soils were mainly originated from the soil parent material and topography of the study area. As, Cd, Ni and Pb were mainly originated from human activities, and Cr and Zn may originated from both natural and anthropogenic factors in the study area. 相似文献
2.
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. 相似文献
3.
Zhang Zhaoxue Zhang Nan Li Haipu Lu Yi Wang Qiang Yang Zhaoguang 《Journal of Soils and Sediments》2019,19(12):4042-4051
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 methodsThe 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 discussionThe 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.
ConclusionsCadmium and Sb are the main contaminants in paddy soils in the study area, and there are hot-spot pollution areas.
相似文献4.
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 (PIN), 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.5.
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。 相似文献
6.
Soil/solution partitioning of trace metals (TM: Cd, Co, Cr, Cu, Ni, Sb, Pb and Zn) has been investigated in six French forest sites that have been subjected to TM atmospheric inputs. Soil profiles have been sampled and analysed for major soil properties, and CaCl2‐extractable and total metal content. Metal concentrations (expressed on a molar basis) in soil (total), in CaCl2 extracts and soil solution collected monthly from fresh soil by centrifugation, were in the order: Cr > Zn > Ni > Cu > Pb > Co > Sb > Cd , Zn > Cu > Pb = Ni > Co > Cd > Cr and Zn > Ni > Cu > Pb > Co > Cr > Cd > Sb , respectively. Metal extractability and solubility were predicted by using soil properties. Soil pH was the most significant property in predicting metal partitioning, but TM behaviour differed between acid and non‐acid soils. TM extractability was predicted significantly by soil pH for pH < 6, and by soil pH and Fe content for all soil conditions. Total metal concentration in soil solution was predicted well by soil pH and organic carbon content for Cd, Co, Cr, Ni and Zn, by Fe content for Cu, Cr, Ni, Pb and Sb and total soil metal content for Cu, Cr, Ni, Pb and Sb, with a better prediction for acidic conditions (pH < 6). At more alkaline pH conditions, solute concentrations of Cu, Cr, Sb and Pb were larger than predicted by the pH relationship, as a consequence of association with Fe colloids and complexing with dissolved organic carbon. Metal speciation in soil solutions determined by WHAM‐VI indicated that free metal ion (FMI) concentration was significantly related to soil pH for all pH conditions. The FMI concentrations of Cu and Zn were well predicted by pH alone, Pb by pH and Fe content and Cd, Co and Ni by soil pH and organic carbon content. Differences between soluble total metal and FMI concentrations were particularly large for pH < 6. This should be taken into account for risk and critical load assessment in the case of terrestrial ecosystems. 相似文献
7.
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... 相似文献
8.
铁路交通对铁路旁土壤重金属污染的影响——以陇海铁路郑州—圃田段为例 总被引：4，自引：0，他引：4
以陇海铁路郑州-圃田段为例,在野外调查、采样和实验室分析的基础上,探讨了铁路交通对周围土壤N i、Pb、Cr、Zn、Cu和Cd六种重金属含量与分布的影响。结果表明,铁路南侧农田土壤六种重金属元素都出现不同程度的富集,最大含量均分布在距铁路路基30m的范围内,随着距离的增加,各重金属元素含量表现出不同的下降趋势。土壤各重金属污染程度的次序为:Zn>Pb>Cd>Cu>Cr>N i。土壤Pb和Zn污染最为严重,近路基处为重度污染,随着距路基距离的增加,由中度污染逐渐变为轻度污染。土壤N i和Cr虽不构成污染,但仍具有明显的铁路影响特征。在距路基10 m范围内为土壤重金属重度污染带,10~100 m范围内为中度污染带,100~500 m范围内为轻度污染带。 相似文献
9.
【目的】高校校园地表灰尘重金属污染关系到师生健康,探究其地表灰尘重金属环境风险,可为高校校园管理提供数据支持。【方法】采集开封市某高校校园内外地表灰尘52个样品,测定样品中重金属镉(Cd)、铬(Cr)、铜(Cu)、镍(Ni)、铅(Pb)和锌(Zn)的含量,使用地积累指数法和潜在生态风险指数法分析重金属的污染程度和生态风险。【结果】高校地表灰尘重金属Cd、Cr、Cu、Ni、Pb和Zn平均含量分别为1.05、88.36、47.04、29.76、68.72和328.87 mg kg-1,其中Cd和Zn含量分别为当地灰尘背景值的3.49倍和4.26倍。地积累指数分析表明,地表灰尘重金属污染指数平均值由高到低依次为Zn> Cd> Pb> Cu> Cr> Ni,其中Zn与Cd处于偏中度污染,Pb,Cu和Cr处于轻度污染,Ni处于无污染状态。潜在生态风险评价表明,高校地表灰尘中6种重金属综合潜在生态风险指数为144.53,属于“轻微”生态风险等级,其中Cd是该高校地表灰尘中最主要的生态风险影响因子。正定矩阵因子分析法(PMF)表明,Cr和Ni主要来... 相似文献
10.
太原市污灌区土壤重金属污染现状评价 总被引：1，自引：0，他引：1
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。 相似文献
11.
铜川三里洞煤矿煤矸石风化土壤重金属分布及污染状况分析 总被引：1，自引：0，他引：1
研究煤矿矸石地的土壤重金属分布及污染状况可为污染治理和植被恢复提供科学依据。通过测定陕西省铜川市三里洞煤矿煤矸石风化土壤中Cu,Cr,Cd,Ni,Zn,Pb共6种重金属元素的含量,应用地质累积指数法和潜在生态危险指数法对排矸场风化土壤污染状况进行了分析与评价。结果表明:在地形较平坦,排矸年限长,植被覆盖度大的地段,重金属元素含量较高,而且分布趋于稳定。在坡地,坡下部重金属富集和积累比较明显,一般坡下部重金属含量高于坡上部和坡中部。排矸场Cd污染最为严重,为中度或偏重度污染,且潜在生态危险水平也达到了重度或极重;Cu,Ni,Zn为轻度污染,Cr和Pb污染轻微,个别地段达到轻度污染,这5种重金属元素均达到轻度潜在生态危险水平。可见,该排矸场亟需加强重金属污染的预防和治理。 相似文献
12.
在河北省地质调查院1：250000多目标区域地球化学调查的研究基础上,对河北省清苑县及周边的农田土壤及玉米子实进行了采样分析,分析该地区农田土壤重金属的富集程度,并采用富集因子法和单因子土壤污染指数法进行污染状况评价。结果表明,该研究区土壤以重金属Zn、Cu、Cr、Pb、Cd污染最为严重,其中Cd污染已达显著富集程度;通过对子实重金属含量的描述统计显示,其农产品也受到一定程度的重金属污染,其中玉米子实中的重金属Ni和Pb存在超标现象。通过地统计学方法分析揭示了清苑县土壤重金属中污染严重的Zn、Cu、Cr、Pb的空间分布特征,并探索其主要成因。 相似文献
13.
新乡市大棚菜田土壤重金属积累特征及污染评价 总被引：4，自引：0，他引：4
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。 相似文献
14.
Purpose
The metal concentrations and Pb isotopic composition in sediments and plants from the Xiangjiang River, China, were investigated to understand the contamination and potential toxicity of metals in sediments; to determine the accumulation and distribution of metals in plant tissues; and to trace the possible pollution source of Pb in sediments and plants.Materials and methods
Sediments and plants were collected from 43 sampling sites in the study region. After sediments were air-dried and passed through a 63-??m sieve, they were acid-digested and DTPA-extracted for determination of total and bioavailable metals. The plants were separated into roots, leaves, and stems; dried; cut into pieces; and digested with HNO3?CH2O2. Metals (As, Cd, Cr, Cu, Ni, Pb, and Zn) and Pb isotopic composition were analyzed by inductively coupled plasma-mass spectrometry.Results and discussion
Maximum As, Cd, Cr, Cu, Ni, Pb, and Zn concentrations in sediments were 47.18, 55.81, 129.5, 161.6, 160.4, 430.7, and 1,098.8?mg?kg?1, respectively. The bioavailable fractions of As, Cd, Cu, Pb, and Zn had significant linear relationship with their corresponding total contents in sediments while no significant relationship was observed between bioavailable and total contents of Cr and Ni. In general, plant tissues showed higher As, Cd, Cu, Pb, and Zn concentrations and lower Cr and Ni concentrations compared with sediments. The 206Pb/207Pb ratios decreased in the order of total > bioavailable > stems ?? leaves > roots. A strong linear correlation was observed between the 208Pb/206Pb and 206Pb/207Pb ratios of the plant tissues, sediments, and the possible pollution sources of Pb in the Xiangjiang River.Conclusions
As, Cd, Cu, Pb, and Zn demonstrated higher contamination levels in sediments and plants compared with Cr and Ni. Cd had highest potential ecological risk. The Pb from anthropogenic sources with low 206Pb/207Pb ratios was preferentially associated with the bioavailable fractions in sediments and accumulated in roots. The Pb in plant tissues is mainly derived from the Pb in sediment and is taken up through the sediment-to-root pathway. 相似文献15.
山东省沂源县土壤重金属来源分布及风险评价 总被引：5，自引：2，他引：3
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。 相似文献
16.
Transfer of Heavy Metals from Soils to Vegetables and Associated Human Health Risks at Selected Sites in Pakistan 总被引：1，自引：0，他引：1
Zahir Ur REHMAN Sardar KHAN Mohammad Tahir SHAH Mark L. BRUSSEAU Said Akbar KHAN Jon MAINHAGU 《土壤圈》2018,28(4):666-679
Contamination of the food chain with heavy metals is considered as one of the major environmental pathways of human exposure to metals leading to potential health risks. This study aimed to investigate the concentrations of heavy metals such as copper (Cu), zinc (Zn), chromium (Cr), nickel (Ni), and manganese (Mn) in agricultural soils and food crops (fruit, leaf, and root vegetables), and their associated health risks to the local population in selected southern districts of Khyber Pakhtunkhwa Province, Pakistan. The concentrations of the selected metals in soil varied over a wide range, in the following decreasing order: Mn > Zn > Cr > Ni > Cu. The bioaccumulation of metals in vegetables was within the permissible risk limits, except for Cr which showed higher contamination in all the tested food crops. The trend of metal transfer factors for different vegetables was in the order of Cu > Ni > Cr > Mn > Zn, while the calculated daily intake of metals (DIM) in adults and children through consumption of food crops was in the decreasing order of Mn > Zn > Ni > Cr > Cu. The health risk index (HRI) values for the heavy metals for both adults and children were less than 1. Therefore, no significant health risk is anticipated for the local consumers through ingestion of these food crops. 相似文献
17.
闽西南崩岗土壤重金属含量、分布、来源及生态风险 总被引：2，自引：1，他引：1
选取福建省长汀县黄泥坑崩岗群内2处典型崩岗及附近一无崩岗山坡(对照区),采样并测定了63份0~20 cm土壤样品Cu、Zn、Ni、Pb、Cr、As、Cd含量,运用相关分析与主成分分析进行重金属来源辨识,并应用Hankanson潜在生态风险指数法,以福建省背景值和国家二级标准作为参比,对研究区重金属进行潜在生态风险评价。结果表明:研究区土壤重金属含量从高到低的顺序依次为Zn(105.56 mg·kg~(-1))Pb(67.21 mg·kg~(-1))As(61.47 mg·kg~(-1))Cu(22.33 mg·kg~(-1))Cr(17.12 mg·kg~(-1))Ni(5.24 mg·kg~(-1))Cd(0.80 mg·kg~(-1)),Pb、Cd含量表现为崩岗区对照区,Cu、Zn、Ni、Cr、As、Cd含量与之相反。1号崩岗Zn、Pb、As和Cd平均值分别是福建省背景值的1.12倍、2.82倍、8.68倍和13.33倍,2号崩岗这4种元素平均值分别是背景值的1.11倍、1.36倍、11.22倍和16.67倍,对照区该4种元素平均值分别是背景值的1.58倍、1.60倍、5.14倍和14.44倍;与国家土壤环境质量二级标准比较得出,崩岗区和对照区As平均值分别超标1.92倍和2.70倍,Cd平均值分别超标2.31倍和2.60倍。从集水坡面到沟道末端,崩岗区Pb、Zn、Cd含量呈增加趋势,Cu、Cr含量基本维持稳定,Ni含量有所降低;从坡面上部到下部,对照区Cu、Zn、Ni、Cr、Cd含量呈增加趋势,Pb含量略有降低;As含量在研究区的分布无明显变化。Cu、Ni、Cr主要来源为成土母质,Zn主要来源于禽畜养殖,Cd、As的主要来源包基岩风化稀土开采,Pb主要来源于基岩矿化、煤炭燃烧及汽车尾气排放等复合污染源。以福建省背景值为参比时,Cd潜在生态风险系数达到"极强风险",As为"较强风险",其余均为"轻微风险";以国家二级标准为参比时,Cd属"较强风险",其余均为"轻微风险"。潜在生态风险指数(Ri)表现为2号崩岗对照区1号崩岗。研究区Cd、As污染已较为严重,应采取相应的安全防范措施。 相似文献
18.
规模化猪场区域农田土壤重金属积累及影响评价分析 总被引：2，自引：0，他引：2
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。 相似文献
19.
为了解包头市铜厂周边地区土壤剖面中重金属污染状况,采用火焰原子吸收分光光度法和Tessier连续提取法,对土壤中6种重金属（Cu,Zn,Mn,Ni,Pb和Cd）的垂直分布特征、形态及潜在生物可利用性进行了分析。结果表明:研究区土壤剖面各层土壤中6种重金属含量均超过内蒙古土壤背景值,Cu,Pb和Cd为主要污染物。随采样深度的增加,Cu,Zn,Pb和Mn的含量呈现下降趋势,且由相关性系数可知重金属Cu,Zn和Pb可能有相同人为或自然污染源;土壤剖面中6种重金属均主要以残渣态存在,含量均在50%以上,对生物危害较小;潜在生物可利用性分析结果为:Cu（32.61%） > Mn（31.85%） > Ni（24.90%） > Zn（16.60%） > Cd（15.23%） > Pb（14.87%）,Cu和Mn的潜在生物可利用性较大,其次为Ni,Zn,Cd和Pb潜在生物可利用性较小。 相似文献
20.
为了探明夏尔西里自然保护区土壤重金属污染状况及相关性,沿山路蛇形布点采样,根据实地采样数据和试验数据,通过单因子污染指数分析法和潜在生态危害评价法,分别对夏尔西里自然保护区土壤重金属污染状况进行评价分析。结果表明:夏尔西里自然保护区重金属含量超过《土壤环境质量标准（GB15618—1995）》中一级土壤评价标准,Ni,Cr处于清洁状态;土壤中Pb,Zn,Co,Cu超标率分别为65%,50%,60%,85%;土壤中Hg,As超标率分别为90%,100%;8种重金属元素潜在生态危害系数顺序为:Hg > As > Cu > Pb > Co > Ni > Cr > Zn;Zn与Ni、Cu与Pb、Co与Cu的相关性达到显著性水平;Zn与Pb、Cr与Ni、Co与Pb、Co与Zn的相关性达到极显著性水平,元素有较高的同源性,重金属元素含量主要与成土母质有关,人为干扰对重金属元素含量影响较小,Hg,As元素与其他重金属元素相关性低或无相关性。 相似文献