Differences between total amount of heavy metals and their occurrence form contents in the wastelands of a molybdenum mine area

In a single sample plot,the total amount of heavy metals in the soil could not necessarily reflect the contents of their effective states.This must be considered when attempting to determine the degree of soil heavy-metal pollution in an area.In the present study,the soil around the molybdenum mining area in Huludao,China,was surveyed and sampled to evaluate soil heavy-metal pollution using the Nemerow multifactor pollution index method.The Tessier continuous extraction method was used to analyze the distribution of heavy-metal forms'and their content changes in the soil of this area.Thus,the bioactivity of heavy metals in the soil,the absorption of heavy metals by plants,and the distribution of heavy metals in plants were explored to provide data supporting the use of phytoremediation technology to treat the heavy-metal pollution in the molybdenum mining area and develop ecological restoration strategies for the area's wastelands.The pollution index results indicate that heavy-metal pollution in the soil around the tailings pond is severe,mainly due to Pb and Zn heavy metals.Heavy-metal pollution in the surrounding land is mainly due to Cd and Zn.Content analysis of the heavy-metal forms/states in soils shows that exchangeable forms,which are most effective and toxic to plants,of the following metals are highest in the following areas:Cd,Cu,and Zn in the mountains around the stope;Zn,Mo,and Cu in the cultivated land around the dump;and Cd,Zn,and Mo in the cultivated land around the tailings pond.The pollution index analysis provides a basic overview of soil heavy-metal pollution across the entire mining area.However,content analysis of heavy-metal forms/states better reflects the relationship between the availability of heavy metals in the soil and the effectiveness of plants.Thus,the latter analysis can help ensure that phytoremediation strategies are adequately targeted,science-based,and effective.

Evaluation of ecological risk and primary empirical research on heavy metals in polluted soil over Xiaoqinling gold mining region,Shaanxi,China

Soil,crop and residents'hair over Xiaoqinling gold mining region,China,which was selected as a case study,were sampled and analyzed for Hg,Cd,Pb,Cu,Cr,As and Zn concentrations.The concentrations of heavy metals in soil or crop and hair samples were used to assess their potential ecological risks,or to find the responses to these metals as evidences to prove the potential risk was coming down to observed harm,respectively.The results showed that,these metals in soil were ranked by severity of ecological risk as Hg>Cd>Pb>Cu>Cr>As>Zn,based on their single-element indexes.In the view of the potential ecological risk indexes,of all soil samples,about half had significantly high or high potential ecological risk,which covered more than 74%of the studied region.Most of the risks were 97.41%from Hg,Pb and Cd,especially,84.37%from Hg.Both the single-element and potential ecological risk indexes indicated that,the ecological risk grades had a special spatial characteristic,and increased from northwest to southeast generally.This was agreed with the spatial distribution of the strength in gold mining activities over the studied region.The concentrations of Hg and Pb were higher than their relative backgrounds in the corps,and were even 9.48 and 25.09 times higher than their relative backgrounds in residents'hair,respectively.All these showed that the heavy metals in the soil had a high potential ecological risk,especially,had been affecting these crops'growing and yield,and even the residents'health through food strains.Obviously,these metals'potential ecological harm had been coming down to observed harm to the ecology.

Heavy metals contamination characteristics in soil of different mining activity zones

Depending upon the polluted features of various mining activities in a typical nonferrous metal mine,the contaminated soil area was divided into four zones which were polluted by tailings,mine drainage,dust deposition in wind and spreading minerals during vehicle transportation,respectively.In each zone,soil samples were collected.Total 28 soil samples were dug and analyzed by ICP-AES and other relevant methods.The results indicate that the average contents of Zn,Pb,Cd,Cu and As in soils are 508.6,384.8,7.53,356 and 44.6 mg/kg,respectively.But the contents of heavy metals in different zone have distinct differences.The proportion of oxidizing association with organic substance is small.Difference of the association of heavy metals is small in different polluted zones.

Heavy Metal Contamination of Surface Soil in Relationship to Land Use Patterns: A Case Study of Benue State, Nigeria

A detailed investigation was conducted on the relationship between land use patterns and trace metal content in surface soils of the Benue State to assess soil environmental quality. Results revealed that metals levels were generally high in mineralized and urban soils and lower in agricultural soils whilst forest soils were lease by anthropogenic pollution. Mineralized soils developed from weathered sulphides were rich in lead (Pb), zinc (Zn), and cadmium (Cd). Urban soils accumulated copper (Cu), Zn, and Cd most probably from refuse dumps, gasoline combustion and farming. Agricultural soils were enriched in arsenic (As) and to a lesser degree Pb and Cd originating most probably from the application of pesticides, manure and fertilizers. A pollution index (PI) based on plant-tolerant contamination levels, indicates that multi-element contamination in soils is low and implies that the sampled soils could be cultivated for crop production especially away from point sources of pollution. The degree of anthropogenic pollution was high for As (80%), and Pb (54%), moderate for Zn (47%), Cd (40%), and low for Cu (27%). Correlations (r) are significant between Zn- Pb (0.7), Cu-As (0.6) in mineralized soils, between Zn-Cu (0.64), Zn-Cd (0.5), Cu-Cd (0.6), in urban soils, As-Cd (0.61), in agricultural soils and Zn-Pb (0.82) in forest soils. These distinct relationships indicate a common source or similar geochemical control. Based on the overall evaluation, recommendation in respect of contamination, control and monitoring strategies as well as land use planning in the study area are presented.

Risk assessment of heavy metal contaminated soil in the vicinity of a lead/zinc mine

Heavy metal contamination of soils through anthropogenic activities is a widespread and serious problem confronting scientists and regulators throughout the world. In this study we investigated the distribution, chemical species and availability of lead, zinc, cadmium and copper in nine surface（0 to 20 cm） soils from near an abandoned lead/zinc mine tailings located in Shaoxing, Zhejiang, China. Total heavy metal contents ranged from 5271 to 16369 mg/kg for Pb, 387 to 1221 mg/kg for Zn, 3.0 to 9.3 mg/kg for Cd and 65 to 206 mg/kg for Cu. In general, all heavy metals exceeded China National Standards for Soil Environmental Quality of Heavy Metals by a factor of 3-65 times. Comparison of the heavy metal concentrations（Pb, Zn, Cd and Cu） with clay content revealed a strongly significant relationship while significant relationship（ P 〈 0.001 ） was also obtained between Cd ＋ Zn and Pb ＋ Cu. Solid phase speciation of the soils using Tessier procedure showed that the heavy metals were distributed in the order： residual 〉〉 organically complexed-Fe-Mn oxides occluded 〉 carbonate bound 〉 exchangeable 〉 water soluble. In the organic matter fraction, the ratio of Pb（29.1% ） to its total concentration in the soils was higher than those of Zn（4.70% ）, Cd（3.16% ） and Cu（9.50% ）. The percentages of the water soluble and the exchangeable fractions of Pb（1.80% ） and Cd（2.74% ） were markedly greater than those of Zn（0.10% ） and Cu（0.15% ）, suggesting that Pb and Cd are relatively more mobile and hence more toxic in the contaminated soils. Strongly significant relationships between H20-Pb, H20-Zn and H20-Cu, strong positive correlations between H20-Pb, H20-Zn, H20-Cu and organic matter in soil were found. The content of H20-Pb, H20-Zn, H20-Cu was negatively correlated with pH values. The similar negative relationships between pH values and exchangeable heavy metals were also recorded. It is suggested that increasing soil pH or liming the soil could decrease bioavailability of heavy metals in the soil.

Heavy Metal Distribution in Soils near the Almalyk Mining and Smelting Industrial Area,Uzbekistan

The present study demonstrates distribution and chemical forms of heavy metals in soils of the AImalyk mining and smelting industrial area along five transects. The study area is located in Almalyk, Uzbekistan, where the intensification of industrial enterprises negatively impacts the environment. The distribution of 17 heavy metals （Cu, Zn, Pb, Sc, V, Cr, Co, Ni, Ga, Rb, Sr, Y, Zr, Nb, Ba, Th, and U） were studied in 21 sampling locations （21×3=63 soil samples） along five radial transects with a total length of 60 km downwind deposition gradient. Soil samples were collected from the upper layer （0-10 cm） at 4-6 km intervals. As a result of X-ray fluorescence spectrometry analyses by using X -ray fluorescence spectroscopy （XRF, Philips Analytical Ink, USA ）, a significant decrease in heavy metal （Cu, Zn, Pb） deposition was found going from the source in a downwind direction. Soil samples taken from the first location （near the pollution sources） showed higher concentrations of Cu, Zn and Pb, and lower concentrations with increasing distance from the source. Obtained data showed different impact of pollution sources to heavy metal deposition and distribution in soils. The Almalyk mining and smelting complex is the major source of Pb, Zn and Cu enrichment in soils. Distribution of other trace elements does not exceed background content and suggests lithogenic background. This allowed us to divide these elements into two groups： （1） technogenic （Cu, Zn and Pb）; and （2） lithogenic （Sc, V, Cr, Co, Ni, Ga, Rb, Sr, Y, Zr, Nb, Ba, Th and U） origins.

Heavy Metal Distribution in Soils near the Almalyk Mining and Smelting Industrial Area,Uzbekistan

The present study demonstrates the distribution of heavy metals in soils of Almalyk mining and smelting industrial area along the 5 transects.The study area is located in Almalyk,Uzbekistan,where the intensification of industrial enterprises negatively impact on the environment.The distribution of 17 heavy metals (Cu,Zn,Pb,Sc,V,Cr,Co,Ni,Ga,Rb,Sr,Y,Zr,Nb, Ba,Th,and U)were studied in 21 sampling locations (21×3=63 soil samples)along the 5 radial transects with the total length of 60 km downwind

Physical and Metals Impact of Traditional Gold Mining on Soils in Kombo-Laka Area (Meiganga, Cameroon)

Concentrations of metals (As, Cr, Cd, Fe, Ni, Pb, Sb, and Zn) in soil samples from Kombo-Laka were investigated. The area under study is subjected to traditional gold mining and receives various wastes from miners and mining activities. Direct observations on the field displayed the destruction of soils by this activity. An assessment of pollution was performed using an Enrichment Factor (EF) and geoaccumulation index (Igeo). Levels of As, Cr, Cd, Cu, Pb and Sb in soil samples were above average in the Upper Continental Crust (UCC). EF revealed anthropogenic sources for Cd, As and Sb in these soils. Igeo indicates that Kombo-Laka soils are moderately to extremely polluted with As and Sb. There are high to very high positive correlations among the metals suggesting their possible common sources. This study reveals that traditional gold mining activities in the area are harmful to the environment.

安徽矾矿土壤重金属污染源解析模型对比与优选

矿区资源开采导致土壤污染日益严重,直接影响周边土壤、水体环境的稳定性,精准预测重金属污染源解析对矿山修复、治理具有重要指导作用。在前期研究基础上,为提升土壤介质模型的解释度,进一步选取了土壤重金属源解析评价中成熟度高且精准性好的正定矩阵因子分析法(positive matrix factorization, PMF)及绝对因子分析-多元线性回归(absolute factor analysis-multiple linear regression, APCS-MLR)模型,以充实前期UNMIX多元受体模型分析矾矿土壤重金属污染来源及源贡献率的结果,结合生态风险评价方法,对比定量条件下最适宜解析研究区域源的模型。结果表明:1)生态高风险区域主要集中在研究区南部和东部,Cd是矿山主要风险元素,地累积指数(index of geoaccumulation)均值3.75与潜在生态风险指数(potential ecological risk index)均值731.22解析结果高度一致,但潜在生态危害指数的结果综合性更好。2)对比3种模型的污染源解析结果,PMF模型解析出4个污染源:分别为燃煤源、自然-交通综合源、自然源和大气沉降源,源贡献率分别为38.15%、20.62%、24.28%、16.95%。3)PMF模型的总体变量拟合优度R2达到了0.96,拟合效果最好。PMF模型模拟数据会集中采样点误差,确定最适污染源数目及相应污染物贡献率,使得源解析结果更精准,更适用于复杂的矿山污染土壤情况,符合实际研究情况。该研究结果可为后续矿区开采后污染土壤的修复治理工作提供溯源依据参考。

基于Meta分析的矿区周边土壤重金属污染特征及风险评价

本文基于2002—2022年期间,知网、万方、Web of Science数据库收录的矿区周边土壤重金属文献数据,采用Meta分析方法,探讨我国不同地区和矿种类别的矿山开采对土壤重金属分布特征的影响。同时,结合地累积指数法和潜在生态风险指数法评估矿区周边土壤重金属生态风险。Meta分析结果显示,我国矿区周边土壤中镉(Cd)、汞(Hg)、铜(Cu)、铅(Pd)、锌(Zn)、砷(As)、镍(Ni)和铬(Cr)的浓度相较于土壤背景值,分别增加了820.7%、309.6%、158.6%、158.6%、146.0%、103.4%、24.6%和15%,其中,Cd和Hg增加量较多。从地区来看,中南和西南地区的矿区周边土壤重金属的效应值较大,其重金属浓度增加量分别为285.7%和180.1%,其中西南、中南和华东地区矿山周边土壤中Cd、Hg、Zn、Pb和Cu的含量增加较为显著,华北和东北地区的Cd和As、西北地区的Cd和Hg增加较为显著。从矿种类型看,铅锌矿、多金属矿、铜矿、金矿、汞矿、钼矿、锰矿、锡矿和包含石墨矿等其他矿种的周边土壤重金属浓度增加量为166.4%~617.1%,其中铅锌矿开采会使得Cd、Hg、Pb和Zn显著累积,金矿开采对As、Hg和Pb累积显著,铜矿、石墨、硫铁矿等其他矿种对Cd和Cu的含量累积显著,各类型矿对Ni和Cr的累积影响都很小。地累积指数法和潜在生态风险指数法评价结果显示,我国矿区周边土壤Cd和Hg地累积污染指数分别达到中等和轻微污染等级,且大部分土壤位点二者都具有高等级的潜在生态风险,因此,需加强矿区周边重点重金属Cd和Hg的污染防治。

高温活化磷尾矿钝化矿区污染土壤中阳离子态重金属研究

矿冶场地土壤重金属污染是重要的环境问题,亟需研发低成本的高效修复技术。化学钝化是常用修复技术,但现有钝化材料仍存在效率较低、成本较高等问题。本研究采用900℃高温处理制备活化磷尾矿材料,研究不同处理下材料对土壤重金属的钝化效果。结果表明:高温处理将磷尾矿中的白云石分解为方解石、MgO和CaO,活化材料可显著提升土壤pH,降低土壤可交换态重金属含量;添加0.8%的高温活化磷尾矿钝化30天后,土壤可交换态Zn、Cd和Pb含量分别降低97%、46%和95%。重金属由可交换态向碳酸盐结合态转化,部分Cd转化为铁锰氧化物结合态。主要钝化机理为MgO与水反应生成氢氧化物提升土壤pH,促使重金属形成氧化物、氢氧化物沉淀,同时增加铁锰氧化物对Cd的吸附固定。研究结果可为矿区土壤原位钝化和磷尾矿资源化利用提供参考。

黔中磷矿区土壤重金属污染及其生态风险评价

为评价黔中磷矿区土壤重金属污染风险,采用梅花布点法在磷矿区周边区域和无矿区不同地层天然土壤采集24件表层土壤样品,测定Cu、Pb、Zn、As、Hg、Se、Cd、和Cr含量,并采用内梅罗综合污染指数(NPI)、地累积指数(I_(geo))以及Hankanson潜在生态危害指数(RI)对磷矿区土壤重金属的污染程度和潜在生态风险进行评价。结果表明,黔中磷矿区土壤中Hg、Se、Cd、As、Pb、Zn和Cr等元素平均含量分别为贵州土壤背景值的37.58倍、24.40倍、19.26倍、18.09倍、2.67倍、2.17倍和1.78倍,各重金属富集特征明显,Cu元素平均含量未超过贵州省土壤背景值。研究区土壤中Hg、Se、Cd、As、Pb、Zn和Cr等元素NPI平均值介于4.59~69.32之间,处于重度污染水平,而Cr和Cu元素NPI平均值分别为1.89和1.21,处于轻度污染水平。研究区Hg元素I_(geo)平均值为4.45,处于严重至极重污染;As、Se和Cd元素I_(geo)平均值介于3.35~3.65之间,处于重度污染;Pb、Zn和Cr元素I_(geo)平均值0.21~0.44之间,处于未污染至中度污染水平,而Cu元素I_(geo)平均值为-0.83,显示其未受到污染。潜在生态风险评价结果表明,研究区土壤Hg元素处于极强生态风险水平,Cd处于强生态风险水平,Ad处于中等生态风险水平,而Cu、Pb、Zn和Cr均处于轻微风险水平。黔中磷矿区土壤RI平均值为2285.50,显示出极强生态风险,Hg是最主要的生态风险元素,应引起高度重视。

土壤重金属污染钝化修复研究进展

如何有效治理和修复重金属污染土壤,保障粮食安全成为农业和环境生态领域的研究热点。在优质耕地资源短缺与粮食生产需求的突出矛盾背景下,原位钝化技术被认为是解决土壤重金属污染修复治理的切实可行,且能保证作物安全生产的修复措施。文章从钝化剂种类、钝化修复技术应用中存在的问题等方面综述了重金属污染土壤钝化修复研究的现状,分析了影响土壤重金属钝化修复效果的因素,并对未来重金属污染土壤的钝化修复研究思路提出了建议,以期为科学、合理、高效使用钝化剂和钝化修复技术提供理论指导,实现受污染耕地的安全利用。

遵义市典型锰矿区土壤重金属污染空间分布特征及生态风险评价

以贵州省遵义市某典型锰矿区的土壤(含沉积物和矿渣)为研究对象,测定和分析了Cr、Ni、Cu、Cd、Pb、Fe、Hg、As和Mn 9种重金属元素的含量,利用ArcGIS软件中的反距离权重插值法(inverse distance weight,IDW)揭示这些重金属元素的空间分布特征,并运用累积指数法和潜在生态风险指数法对研究区土壤进行污染现状评价和潜在生态风险评价,最后对重金属污染的来源进行了解析。结果表明:研究区沉积物中Hg、Mn和Cd的平均含量分别约为贵州省土壤背景值的44、16和5倍,其中Hg在沉积物中全部为重度或严重污染;Hg和Cd单个重金属元素的潜在生态风险指数最高,是区内主要的生态风险因子;研究区80%的样点都存在强或很强的潜在生态风险。

长江中下游典型铜矿周边土壤重金属环境污染风险和来源分析

为查明铜矿周边土壤重金属污染风险,在长江中下游某典型铜矿周边采集表层土壤(0~20 cm)样品87个,分析测定了9种重金属Cu、As、Cd、Cr、Hg、Ni、Pb、Zn、Mo含量。结果表明,研究区土壤Cu、Cd、Pb、Zn、As、Mo含量均值高于南京地区背景值。9种重金属含量呈现岛状或条带状分布,高值区主要集中在研究区北侧紧邻矿区区域或中部沟谷区域。根据内梅罗综合污染指数计算,研究区表层土壤达到清洁、尚清洁、轻度污染、中度污染和重度污染的比例分别为42.53%、26.44%、18.39%、4.60%和8.04%;结合单因子指数评价,Cu、Cd为主要污染贡献因子,Pb、As、Zn为次要贡献因子;根据综合生态风险指数计算,研究区表层土壤达到中等生态风险及以上的点位占67.82%,主要是As、Hg、Cu、Cd、Mo存在潜在生态风险。通过主成分分析法解析出研究区重金属有3种来源,其中Cu、Zn、As、Hg和Mo主要受工矿活动影响;Cu、Ni、Cr主要受自然母质影响;Cd、Zn、As、Pb主要受农业活动影响。

滇东典型煤矿区土壤重金属生态风险及来源解析

【研究目的】研究区地处滇东重要煤炭和农业产区,弄清煤矿区土壤重金属空间分布特征、潜在生态风险和污染来源,对煤矿区生态环境保护治理和确保农业安全具有重要现实意义。【研究方法】基于网格布点法于2021年6月在典型煤矿区采集土壤样品497件,分析了土壤pH、SOM、As、Cd、Cr、Cu、Hg、Ni、Pb和Zn,运用污染负荷指数法和潜在生态风险指数法对重金属污染状况和潜在生态风险进行评价,通过主成分分析和正定矩阵因子分析(PMF)模型分析了重金属潜在来源。【研究结果】土壤pH平均值为5.39,以酸性为主,SOM含量平均值是云南省土壤背景值的1.20倍,Cr、Cu、Cd、Ni、Zn和Hg含量平均值和中位数均超过云南省土壤背景值,绝大部分采样点Cd、Cu、Cr、Ni含量超过风险筛选值,分别占94.97%、93.96%、91.35%、79.28%,少部分采样点As、Cd含量超过管制值,分别占0.20%、1.41%。污染负荷指数法评价结果显示,研究区整体呈现轻微污染。潜在生态风险指数法评价结果显示,研究区整体呈现中等风险。主成分分析和PMF模型解析结果显示,研究区土壤重金属主要来源于地质背景,其次为农业活动和大气沉降。【结论】煤矿区土壤中Cd、Hg潜在生态风险较高,土壤重金属主要来源于地质背景,其次是农业活动和大气沉降,建议加强相关污染土地的监测和管理,减少农家肥不合理施用,强化煤炭工业污染排放监管。

胶东半岛某金矿周边土壤重金属的污染特征、来源分析及风险评价

【研究目的】本文采集了表层土壤样品34件,分析测定Hg、Cd、As、Pb、Cu、Cr、Zn、Ni等8种重金属元素含量;获取胶东半岛某金矿周边土壤重金属污染特征,分析土壤重金属来源并进行风险评价。【研究方法】运用相关性分析和主成分分析方法探索土壤重金属的来源,运用单项污染评价和地累积指数法确定其污染程度,采用潜在生态风险评价和人体健康风险评价的方法评估其风险。【研究结果】(1)全区仅存在3处点源污染,1处为Hg元素污染,2处为Cd元素污染;(2)元素Ni、Cr和As主要来自于土壤母质,元素Pb、Cd、Zn和Hg主要来自于矿业活动,Cu元素主要来自土壤母质和农业活动;(3)个别点状区域存在较高的潜在生态风险,风险主要来自于元素Hg和Cd,其他元素基本上不存在风险;(4)人体健康风险评价结果表明,全区土壤中的重金属元素未对人体产生明显的健康风险。【结论】该金矿周边的土壤受到了矿业活动的影响,并出现了点状污染,但程度较轻,风险可控,应当加强对该区域土壤重金属的监测和评价。

铅污染矿区中耐铅解磷菌对玉米的促生及根际铅的固化效应

矿产资源的开采、冶炼活动造成了一定的生态环境问题,土壤中可溶性重金属随着地表径流和地下渗透造成矿区和周边农田重金属污染。而矿区中土壤微生物对重金属具有一定耐性,研究微生物对植物根际微生态环境的改善作用具有重要意义。在矿区废弃地土壤中筛选耐铅(Pb)解磷菌的基础上,将含有菌株分泌物的上清液、菌液、发酵液(上清液+菌株)分别施用到玉米(Zea mays L.)根际土壤中,对比三者对玉米的促生效果及根际土壤铅的形态变化,探究解磷菌对玉米的促生机制及其对土壤铅的固化作用。所筛菌株被鉴定为巴氏克雷伯菌(Klebsiella pasteurii),其通过分泌乙酸、乳酸、酒石酸和草酸对Ca3(PO4)2的溶磷率为26.5%,并能分泌生长素(IAA)。在玉米根际土壤中施用菌株的上清液、菌液和发酵液后,较对照组玉米株高、茎直径、地上与地下生物量均显著增加,其中施用发酵液组增幅最高,较对照组分别增加了128%,216%、266%、147%。同时,3个处理组中玉米地上生物量中铅含量分别降低68.6%、58.1%、70.1%,地下部铅含量分别降低119%、36.7%、39.5%。施用菌株上清液、菌液和发酵液后均使玉米根际土壤中可溶态的铅向稳定态铅转化,这可能是巴氏克雷伯菌在解离土壤磷素的过程中,其解离的磷可能与铅形成稳定态的磷铅化合物,进而降低植物对铅的吸收。由此可以得出,在铅污染土壤中巴氏克雷伯菌能够显著固化重金属铅并抑制玉米对铅的吸收,对玉米具有促生作用,因此,巴氏克雷伯菌在土壤重金属修复和保障农作物食品安全方面具有重要价值。

陕西省典型矿区土壤和食用林产品中重金属污染与风险评估

为探明陕西省典型矿区土壤和食用林产品中重金属污染特征与风险情况,通过对渭南华州、商洛柞水县、宝鸡凤县金属矿区土壤和食用林产品进行样品采集并分析测定其As、Hg、Pb、Cd、Cr、Cu含量,采用单因子污染指数法、内梅罗综合污染指数法、土壤和农产品综合质量指数法对土壤和食用林产品重金属污染状况进行评价。结果表明,研究区内土壤均出现不同程度的As、Hg、Pb、Cd、Cr、Cu含量积累;受检食用林产品均出现不同程度的Cr、Cu积累,华州区油松籽2个样品出现Pb含量超标;单因子污染指数表明Cd为凤县研究区土壤的主要污染物,Cr、Cu为柞水县研究区土壤的主要污染物;内梅罗综合污染指数表明凤县和柞水县研究区域土壤为轻度污染状态(质量等级Ⅲ),华州区研究区域土壤为尚清洁状态(质量等级Ⅱ);综合质量影响指数表明,凤县土壤呈现轻微污染(sub-Ⅱ),华州区呈现轻度污染(sub-Ⅲ),柞水县呈现重度污染(sub-Ⅴ)。凤县、华州区和柞水县研究区土壤均出现重金属污染问题,部分食用林产品存在重金属Cr、Cu积累以及Pb超标风险,应及时采取治理修复措施,以缓减土壤和食用林产品的重金属污染问题。