金矿区农田土壤重金属污染的环境效应分析

通过对比研究小秦岭某金矿区土壤重金属综合污染区和对比区内的小麦、玉米籽粒中重金属的含量,结果表明污染区内小麦籽粒中汞、铅、镉累积程度显著高于土壤对比区对照样,铬、砷、铜、锌与对照区几乎没有差异,汞、铅、镉、锌、铜的超标率分别为86.67%、60%、33.33%、6.67%、20%。在污染区,玉米中铅、镉、铬较对照区明显累积,但仅有汞超标,超标率为15.15%。同一采样地点,金矿区小麦籽粒比玉米更易吸收累积重金属。小麦中重金属含量与立地土壤重金属污染程度存在较好的相关性。与1990年比较,小麦中汞、镉累积效应非常显著。研究区土壤重金属污染已经造成了小麦严重污染。     

Accumulation behavior of toxic elements in the soil and plant from Xinzhuangzi reclaimed mining areas,China

The concentration and distribution characteristics of toxic elements in soil and plant were investigated in the coal refuse reclaimed areas of Huainan, China. Ninety soil samples from different depth (0–20, 20–40, 40–60 cm) and 120 plant samples were collected based on grid sampling method. The concentrations of the selected toxic elements (As, Cd, Cu, Ni, Pb and Zn) in the soil and plant samples were determined by using inductively coupled plasma mass spectrometry. The elevated concentrations of toxic elements in the soils at the depth of 20–40 and 40–60 cm suggested that the coal refuse reclamation may lead to potential environmental impacts. The toxic element tolerance could be observed in all the selected plant samples. The concentrations of toxic elements in the underground tissues were higher than that of aboveground tissues. Conclusively, the present study provided a comprehensive evaluation of soil and plant toxic element implications from coal refuse reclaimed areas in China and was also helpful for environmental protection and monitoring the safety of plant.     

铜陵矿区土壤重金属元素的空间变异及污染分析

运用地统计学分析手段对铜陵矿区土壤中的As、Cd、Hg、Pb和Zn5种重金属元素进行空间变异分析及空间插值,并进行污染分析,以期为铜陵矿区土壤环境评价、土壤污染修复及环境决策提供科学依据。数据来源于"安徽省江淮流域多目标区域地球化学调查"结果,采用Johnson变换进行正态转换,地统计拟合变异函数中,As、Cd元素为球状模型,Pb、Zn元素为五球形模型,Hg元素为指数模型。结果表明,As、Cd、Pb、Zn元素的变异函数表现为各向异性,其方向性可能主要受矿床分布控制;Hg元素块金效应较大,表明其受小     

Eco-Environmental Geochemistry of Heavy Metal Pollution in Dexing Mining Area

An eco-environmental geochemical investigation was carried out in and around the Dexing mining area to determine the concentrations of heavy metals in the surface water, sediments, soils and plants. The main objective of this study is to assess the environmental situation and evaluate the transferring of heavy metals from mining activities into the food chain. Some samples of water, sediment, topsoil and plant were collected along the Lean River in the Dexing mining area. The total concentrations of Cu, Pb, Zn, Cd, and As were determined by AAS, and Hg was analyzed by cold-vapor AAS. Some indices such as ‘contamination degree‘ , ‘geoaccumulation index‘ , and ‘biological absorption coefficient‘ were used to assess eco-environmental quality. The investigation indicated a highly localized distribution pattern closely associated with the two pollution sources along the Le‘an River bank: one is strong acidity and a large amount of Cu in the drainage from the Dexing Cu mining area; and the other is the high concentrations of Pb and Zn in the effluents released from many smelters and mining, processing and extracting activities in the riparian zone. Results from the investigated localities indicated, at least in part, that some problems associated with environmental quality deterioration should be solved in the future.     

土壤重金属污染潜在风险评价

以北方某河流河床及河流两侧农田中土壤为研究对象,采用地累积指数法和潜在生态危害指数法对土壤中Cd 和Ni 的污染状况进行风险评价。结果表明,废弃冶炼中心处河床及河流两侧土壤中 Cd 和Ni 污染严重,均超过当地土壤背景值; 河床中土壤重金属富集程度为Cd ＞ Ni,其中Cd 富集程度达5 级,为重污染。以当地土壤背景值作为参比值进行评价,该河流处于重度的潜在生态危害程度,重金属的生态危害顺序为Cd ＞ Ni。     

粤北凡口铅锌矿区土壤重金属元素污染特征及评价

凡口铅锌矿区及其外围不同地段土壤中重金属元素(Pb、Zn、Cd、As)的地球化学特征研究显示,4个土壤采样区的Pb、Zn、Cd含量平均值由高至低依次为铁石岭调查区(D2)丹冶排污流域高宅村附近(D1)凡口矿排风口下风口地段(D3)矿区上游澌溪河水库一带(D4)。3个采样区(D1、D2和D3)的Pb、Zn、Cd和As元素总量平均值均远高于全国土壤背景值和地壳中相应元素含量,矿区上游澌溪河水库一带(D4)的Pb、Zn、Cd和As元素总量平均值也高于全国土壤背景值和地壳中相应元素的平均值,说明凡口铅锌矿区具有较高的原生地质背景值。环境污染评价结果表明,凡口铅锌矿区土壤受到较严重的重金属污染,然而未受矿山开采影响的地区(D4)的土壤也受到不同程度的重金属污染;矿区周边83.33%的土壤已达到重度污染,应采取针对性的治理和修复措施,降低土壤中的重金属元素含量或者改变其在土壤中的存在形式,降低其迁移性和生物可利用性。     

高光谱遥感在土壤重金属污染监测中的应用

高光谱技术的快速发展为宏观、快速获取土壤中的重金属元素信息提供了有力支撑。选择云南大红山铜矿作为研究区,对其土壤进行采样,其中水样、底泥样和土壤样各30个,共90个样本。使用ASD光谱仪对样品进行光谱分析,借助ENVI软件对原始测量数据进行平滑与去噪处理,利用与重金属相关的官能团在VNIR和SWIR波段光谱吸收特征的变化提取光谱吸收特征参数。通过与预处理后研究区的HyMap遥感图像数据进行光谱相似度及光谱参数相似度的对比,验证了将ASD实测光谱与HyMap高光谱遥感数据结合监测研究区重金属污染的可行性。认为高光谱遥感在土壤重金属监测方面有着广泛的应用前景。     

Effects of heavy metal pollution on the soil microbial activity

The effects of heavy metals on soil microbial processes were investigated over a period of six weeks. Analytical grade (Sigma) sulphate salts of copper, zinc and nickel were added individually and in combinations to soil samples and incubated in different plastic pots. Samples were taken from the pots forthnightly and the rates of microbial carbon and nitrogen mineralization, microbial biomass carbon and respiration were measured. The results showed the effect of metals on the measured parameters were significant (P<0.05.). By the 6^th week postreatment, the rates of carbon accumulated were high in the copper (6.03 %) and copper:Zinc (5.80 %) treatments but low in the nickel and zinc (4.93 % and 5.02 % respectively). The rates of Nitrogen mineralization were 0.41 and 0.44 % in samples treated with copper and copper:zinc compared to 0.22 %–0.24 % obtained at the beginning of the experiments. Soil microbial biomass carbon declined from average value of 183.7–185.6 μg/g before treatment to as low as 100.8 and 124.6 μg/g in samples treated with copper:zinc and copper respectively.The rate of respiration of the soil microbial populations was equally inhibited by the metals. From an average rate of 2.51–2.56 μg of C/g respiration of the soil microbes declined to 0.98, 1.08 and 1.61 μg of C/g in the copper:zinc, copper and zinc treated soils by the end of the experiment. The results suggest additive or synergistic effects of the metals.     

模糊数学在小秦岭某金矿区土壤重金属污染评价中的应用

在系统分析研究区土壤重金属元素含量特征、分布特征及变异特征的基础上,运用模糊数学法,以Hg、Pb、Cd、Cr、As、Cu、Zn等7种重金属元素作为评价因子,计算各评价因子的权重,构建隶属函数,建立模糊综合评价模型.用此模型对2009年采集的土壤样进行计算,结果显示研究区38.36％的土壤受到中度以上污染.     

Assessment of heavy metal contamination in soils around chromite mining areas, Nuggihalli, Karnataka, India

Toxic heavy metals represent one of the possible environmental hazards from mine lands, which affect many countries having historic mining industries. The primary aim of the study was to investigate the degree of soil pollution occurring near chromite mines, and make a systematic evaluation of soil contamination based on geoaccumulation index, enrichment factor and pollution index. This paper presents the pollution load of toxic heavy metals (As, Ba, Co, Cr, Cu, Mo, Ni, Pb, Sr, V, Zn and Zr) in 57 soil samples collected around three different active (Tagdur), abandoned (Jambur) chromite mining sites as well residential zone around Chikkondanahalli of the Nuggihalli Schist Belt, Karnataka, India. Soil samples were analyzed for heavy metals by using Wavelength dispersive X-ray fluorescence spectrometry. Results indicated that elevated concentrations of Cr, Ni and Co in soils of the study area exceed the Soil Quality Guideline limits (SQGL). The high enrichment factor for Cr, Ni Co obtained in the soil samples show that there is a steady increase of toxic heavy metals risk in this area, which could be correlated with the past mining activity and post abandoned mining in the area. The data was also treated to study the geoaccumulation index, pollution index and spatial distribution of toxic elements. Emphasis need to be put on control measures of pollution and remediation techniques in the study area.     

Heavy metal geochemistry and mineral magnetic characterization of urban soil in Xuzhou,China

In the present study, the enrichment, availability, speciation of heavy metals including Pb, Zn, Cu, Cd, Ni and Sb and magnetic properties of urban soils of Xuzhou (China) were investigated. All analyzed metals showed elevated concentrations compared to local background concentrations. Cadmium and Sb are the metals most enriched in the analyzed area, presenting enrichment factor, on average, of 16.5 and 8.3, respectively. By self-organizing map in combination with diagnostic ratios, the source of Sb, Cd, Cu and Pb in soils might be mainly from traffic emissions. Sequential extractions indicate that metals were primarily associated with the reducible fraction with the exception of Ni. The order of extraction efficiency of various metals was SBET (simplified physiologically based extraction test) > DTPA (diethylenetriaminepentaacetic acid) > CaCl₂. The magnetic results show that soil samples were dominated by a strong ferrimagnetic mineral component with multi- and single-domain magnetic grains. Only CaCl₂ extractable Sb was found to show significant correlations with χlf and SIRM. For both DTPA and SBET extractions, all metals investigated showed significant associations with both χlf and SIRM (saturation isothermal remanent magnetization).     

Geochemical Baseline and Trace Metal Pollution of Soil in Panzhihua Mining Area

A total of 31 topsoil samples were systematically collected from the Panzhihuaminingarea including steel smelting,coal mining ,urban and rural districts.A normalization procedure was adopted to establish the environmental geochemical baseline models for this area.By using the above baseline models,the regional geochemical baseline values of As,Cr,Cu,Ni,Pb and Zn were determined.On the basis of the baselines,the enrichment factors were used to analyze the mechanism of trace metal pollution in topsoil from anthropogenic sources,and the results showed that the serious trace metal pollution is caused by human activities in coal mine,iron mine,smelting factory,tailing dam and other industrial districts in the Panzhihua area.     

岩溶铅锌矿区土壤重金属污染特征

以DX、DW铅锌矿区土壤为研究对象,利用原子吸收光谱法（AA800）、原子荧光光谱法（AF-640）测定土壤中铅、铬、镉、铜、锌、镍、汞和砷等重金属的含量,利用单因子污染指数法、N.L.Nemerow综合污染指数法对比分析土壤中重金属的污染特征,采用PCC统计学方法分析矿区土壤中重金属之间的相关性。结果表明:两矿区土壤中除Cu、Cr外,其余重金属均已对土壤造成单一或复合污染,其中Cd污染最为严重,对综合污染贡献最大。DX、DW矿区土壤重金属的Nemerow指数分别为27.61、63.54,均达到极强污染水平,且DW矿区污染较为严重。DX矿区,除Ni外,Pb、Cr等7种重金属元素之间存相关性;DW矿区,除Cr外,Pb、Ni等7种重金属元素之间存相关性,这可能与二矿区均属多金属伴生、共生矿床有关;土壤中各重金属总含量与pH值没有显著的相关性。研究结果将为合理制定矿区土壤污染的修复和治理措施提供依据。      

Environmental Geochemistry of Heavy Metal Contaminants in Soil and Stream Sediment in Panzhihua Mining and Smelting Area,Southwestern China

Mining and smelting activities are the main causes for the increasing pollution of heavy metals in soil, Water body and stream sediment. An environmental geochemical investiga-tion was carried out in and around the Panzhihua mining and smelting area to determine the ex-tent of chemical contamination in soil and sediment. The main objective of this study was to in-vestigate the environmental geochemistry of Ti, V, Cr, Mn, Cu, Pb, Zn and As in soil andsediment and to assess the degree of pollution in the study area. The data of heavy metal con-centrations reveal that soils and sediments in the area have been slightly contaminated. Geo-chemical maps of Igeo of each heavy metal show that the contaminated sites are located in V-Ti-magnetite sloping and smelting, gangues dam. The pollution sources of the selected elementscome mainly from dusts resultant from mining activities and other three-waste-effluents. The areaneeds to be monitored regularly for trace metal, especially heavy metal enrichment.     

铁矿区复垦土壤重金属含量变化趋势及其污染评价

通过齐大山矿区不同复垦年限土壤重金属含量变化的趋势,应用内梅罗综合污染指数法和潜在生态危害指数法对土壤重金属污染状况进行了评价。结果表明:未复垦土壤重金属含量(除As外)均高于辽宁省背景值,随复垦年限的增加,矿山复垦土壤重金属含量多数呈先增加后减少的趋势。以国家《土壤环境质量标准》(GB15618-1995)为评价标准,Ni处于警戒级;Cd在未复垦地区处于警戒级,复垦后处于安全级;其他元素皆处于安全级。以辽宁省土壤背景值为标准,产生潜在生态危害的主要为Hg和Cd;Zn、Cu、Ni、Pb、Cr和As属轻微危害水平;复垦后总的潜在生态风险程度由中等变为轻微。     

基于土壤重金属污染风险管控的土壤质量评价:以某县级市为例

近年来农用地土壤质量受重金属污染影响进而导致农产品受到威胁的问题愈发严重,然而关于土壤质量评价的研究很少考虑土壤污染状况,忽略了土壤污染风险对土壤质量的影响。本文以某典型制造业县级市为例,在以土壤理化性质为主要指标的土壤肥力状况评价基础上,对研究区土壤重金属进行污染风险管控类型划分。通过建立分段函数将土壤污染风险管控类型划分结果引入土壤质量评价体系,对农用地土壤质量进行评价。结果表明：研究区土壤理化指标的变异系数从大到小为速效磷(AP)含量>土壤电导率(SEC)>全磷(TP)含量>土壤有机碳(SOC)含量>阳离子交换量(CEC)>全氮(TN)含量>pH。土壤肥力状况随地势降低和河流增加呈现升高的趋势,高肥力区主要分布在平原区西北部和平原区东北部,低肥力区主要分布在东南部丘陵山区和西部低洼区,肥力过渡区环绕低肥力区分布。农用地土壤污染风险管控类型的划分结果表明,Cd、Hg、As、Pb、Cr、Ni、Cu和Zn 8种重金属中至少有88.89%的Cd样点和98.61%的Cr样点属于优先保护类,11.11%的Cd样点、1.39%的Cr样点属于安全利用类,该区重金属污染以Cd为主。土壤质量评价结果表明,土壤质量总体分布与土壤肥力状况分布规律类似,但由于受土壤污染风险的影响,研究区西南部低质量土壤范围向东扩张,东南部低质量土壤分布范围更小,更密集化。上述研究结果说明,引入土壤污染风险管控类型划分结果一般会对土壤肥力状况作减幅修正,并在一定程度上改变原土壤肥力状况的空间分布格局。     

雄安新区土壤重金属污染特征及健康风险

土壤质量状况直接关系到农产品安全和人类健康,是农业种植和土地规划重要的参考依据。四川成都唐昌镇作为成都市重要的菜篮子基地,农业种植发达,目前该地区土壤质量状况尚不清楚。为了准确掌握当前唐昌镇农业种植区表层土壤元素含量特征和质量等级,本文通过开展1∶5万土壤质量地球化学调查,采集表层土壤810件,采用X射线荧光光谱法、电感耦合等离子体质谱法、原子荧光光谱法等方法测定了N、P、K、As、Cd、Hg、Pb、Cr、Ni、Cu、Zn、Se等元素含量和pH值, 进行土壤养分等级、土壤环境质量等级、土壤地球化学综合等级评价。结果表明：①与全国表层土壤相比,研究区表层土壤略富集Zn、Pb,较富集Se,强烈富集N、P、Cd、Hg,土壤总体呈弱酸性。②土壤养分综合等级以二等较丰富为主,面积占比88.0%,土壤肥力较丰富;土壤8项重金属元素环境质量等级中的一等土壤面积占比均大于96.0%,综合环境质量等级以一等清洁型为主,占比达98.06%。土壤综合质量以一等优质级为主,占比85.85%。③区内富硒土壤面积2.49km²,占比3.7%,零星分布于研究区中部;富铜土壤面积63.13km²,占94.0%;富锌土壤面积63.31km²,占比94.17%。综上所述,唐昌镇地区表层土壤养分较丰富,土壤环境整体清洁,土壤综合质量属优质级。

     

安徽省宣州区土壤重金属污染风险评估及来源分析

利用1∶25万土地质量地球化学调查数据,对安徽省宣州区土壤重金属污染风险进行评估,并开展土壤重金属来源解析。结果表明:研究区土壤重金属污染风险总体较低,低污染风险的土壤占74.64％;污染风险可控的土壤占25.04％,主要影响指标为Cd、 As以及 Cu、Hg、Pb、Zn;污染风险较高的土壤占0.32％,主要影响指标为Cd。重金属形态分析结果显示:土壤Cd、Pb生态风险高于As、Hg,其中As、Hg残渣态占比最高,Cd离子交换态占比最高,Pb残渣态和铁锰氧化物结合态占比较高。通过表层土壤、深层土壤元素含量相关性分析,推断区内土壤重金属主要来源于成土母质,局部地区土壤(Hg、Cd、Cu、Zn、As、Pb等高含量)主要受矿山开采、畜牧业养殖等人为活动影响。     

北京城区表层土壤多元素分布特征及重金属元素污染评价

采用地统计学和GIS相结合的方法,对北京城区表层土壤样品54项指标的地球化学背景值进行了详细研究,认为微量元素中Ni、Cr和As含量值存在极高值点,具有点源污染特征;Hg、Cd、Zn、Pb和Cu具有面状污染特点。对这5种重金属元素开展研究,统计北京城区五环内每个区域的数据并结合元素含量空间分布特征,指出元素含量平均值由市中心向周边地区逐渐降低。采用内梅罗指数法对表层土壤重金属元素污染进行评价,认为北京市城区表层土壤大部分已经被重金属元素所污染。分析了造成土壤重金属元素污染的可能影响因素,主要包括工业活动、化石燃料燃烧、建筑涂料、机动车尾气等,并提出了污染防控的建议。