承德市土壤重金属空间结构与分布特征

基于地统计学和GIS相结合的方法,对承德全域表层土壤重金属As、Cd、Cr、Cu、Hg、Ni、Pb、Zn、微量元素Se正态分布特征、主导分布趋势及相互作用规律进行了分析,确定了不同元素最适宜的地统计插值模型并厘定出其空间分布规律。结果表明:As、Cd、Cr、Cu、Hg、Ni、Pb、Zn的质量含量平均值分别为8.28,0.200,60.85,24.37,0.034,27.76,26.65,77.10 mg/kg,Cd、Cu、Hg和Pb变异系数分别为385%、143%、350%、118%,分异性强。Zn含量均值受土壤类型影响显著,Cr、Cu、Ni含量均值则受土地利用类型影响显著。经过不同趋势阶数元素插值误差的综合对比,确定As、Cr、Pb、Zn、Ni、Se适宜选择无趋势参数,Hg和Cu适宜选择一阶趋势参数,而Cd适宜选择二阶趋势参数。As的理论模型为指数模型,主要受到结构性因素的影响;Cd、Cr、Cu、Hg、Ni、Pb、Zn、Se的理论模型为线性模型,主要受到随机性因素的影响。通过普通克里格插值图可见区内9种元素具有北低南高的特点,中部地区形成了一条较宽的Pb高值带,与Cd相似。按照含量分布特点,土壤中Cr和Ni、Cu和Hg、Zn和Pb、Se和Cd之间的高值空间展布区具有相似性且来源相同,仅As具有个性,分析结果与传统统计学结果数据保持部分一致性。     

浙西某地石煤矿山周边耕地土壤重金属污染与生态风险评价

以浙西某石煤矿山及周边农田表层土壤为研究对象,运用潜在生态风险指数法综合评价其潜在生态危害程度。结果表明,Cd、Hg、Cu、As、Zn、Ni、Pb、Cr等8种重金属元素平均含量均高于中国土壤背景值,相关性分析表明,除Cd与Cr呈显著的正相关关系,其余元素两两呈极显著正相关关系;潜在生态风险评价表明研究区土壤环境RI平均值为250.38,属强生态危害程度,Cd元素是构成潜在生态风险的主要因素。地表水检测表明矿坑内地表水呈强酸性,Cd、Zn、Cu含量超标,以Cd超标最严重。周边农作物安全评价得出,该区农产品甘蔗Cd严重超标,农产品质量安全存在较大风险;自然修复石煤矿山地表水Cd含量超标程度高,邻近地区土壤及地表水易受影响,存在生态风险。石煤矿山周边土壤及农产品重金属含量超标严重,建议石煤矿山生态环境修复应采用自然恢复和人工修复相结合的办法,做好石煤矿山废水、废渣处理,减少因淋滤作用对地下水、土壤造成的影响。     

山东安丘地区土壤-小麦系统重金属等元素间的相互作用

为了研究土壤-小麦系统重金属等元素间的相互作用,通过相关分析,探讨了安丘地区40件小麦籽实及其根系土中重金属元素间的相互关系。研究发现:(1)小麦籽实Cd、Hg、Pb、As、Ni、Cu、Zn富集系数与土壤pH、CEC、黏粒含量呈负相关,Cr富集系数与pH呈正相关;(2)小麦籽实重金属等元素富集系数间多数呈正相关;(3)小麦籽实Pb、Cu含量分别与土壤As、Pb含量呈正相关,籽实Cu、Zn含量分别与土壤Cd、Pb含量呈正相关。籽实除Cr含量与土壤Mg含量呈显著正相关外,籽实中其他重金属元素含量与土壤元素Ca、Mg含量关系不显著。小麦籽实中Cd、Pb、As等重金属元素含量与土壤中Mn、Mo、F等微量元素含量少数呈显著-极显著正相关;(4)小麦籽实中Cd、Hg、Pb、As等重金属元素含量与籽实中Ca、Mg、Mn、Mo等其他元素含量之间多数呈显著正相关。这些研究结果表明,土壤-小麦系统重金属元素之间、重金属元素与其他元素之间存在协同或拮抗作用,但具体机制尚需要进一步研究。     

渤海西部表层沉积物中重金属的环境地球化学特征

为探讨渤海西部在多重环境因素变化下沉积物中重金属的环境地球化学行为,分析了渤海西部44个站位表层沉积物样品中8种重金属元素含量,研究了重金属元素的分布特征、环境影响因素及其生态风险。结果表明,渤海西部表层沉积物中As、Cu、Cd、Cr、Hg、Ni、Pb、Zn的平均含量分别为117 mg/kg、255 mg/kg、014 mg/kg、689 mg/kg、0037 mg/kg、303 mg/kg、223 mg/kg、757 mg/kg;Cu、Cr、Ni、Zn含量与有机碳含量、小于63 μm细粒沉积物呈显著正相关,其在表层沉积物中的分布明显受到有机质含量和沉积物粒径的控制,而As、Hg分布没有明显受到有机质含量的影响。富集系数显示,Cr、Ni、Pb和Zn为无富集,Cu、As为轻度富集,Cd和Hg为中度富集。与多种背景值和一致性沉积物质量基准相比较,渤海西部表层沉积物Pb、Cd的含量超出背景值,而Cu、Zn、Ni、Cr、As、Hg含量也存在一定的异常,但其含量水平引发有害生物效应的可能性不大,尽管重金属元素含量偏高,但生态风险较小。     

湖南水口山多金属矿区废石堆重金属污染评价及赋存形态分析

湖南水口山及周边是湖南省重金属污染较为严重的地区之一,龙王山金矿床是该区中部的一个重要金矿床.为调查该矿床废石堆污染状况、是否为周边环境的污染源、污染途径、重金属迁移能力和潜在的危害,对矿区FS17废石堆进行了自然淋滤水和24 m浅钻系统取样,开展重金属元素总量分析,利用单因子指数法和内梅罗综合污染指数法对其重金属污染程度进行污染评价,采用四步改良BCR提取法分析废石堆中8种重（类）金属元素（Pb、Zn、Cd、Cu、Cr、Ni、As和Fe）的赋存形态,并利用迁移指数量化废石堆重金属元素迁移能力;发现废石堆中Cd、Cu、Pb、As、Zn、Ni重金属元素严重超标,且在垂向上分布极不均匀;其自然淋滤水样中重金属元素Cd、Ni、Zn、Cu也严重超标;废石堆浅层重金属元素潜在迁移能力顺序为:Cd＞Ni≈Zn＞Cu＞Pb＞As＞Cr＞Fe,深层重金属元素迁移能力顺序为:Cd＞Zn＞Cu＞Ni＞Cr＞Pb＞As＞Fe,浅层重金属元素的迁移性大于深层;说明该废石堆重金属元素含量高,是周围环境重要污染源,酸性废水排放为其释放污染元素的主要途径;Cd、Cu、Zn、Ni迁移能力强,是周围环境的主要污染元素;Pb、Ni、As的迁移性在深层明显降低,可以通过埋深来削弱其迁移性,而Cr不会对周边环境产生污染.      

南京市大气降尘重金属含量特征及来源研究

文中对南京市大气降尘重金属含量水平进行了研究,从2006年12月起连续收集一年的大气降尘样品,分析了As、Cd、Cr、Cu、Hg、Mn、Mo、Ni、Pb、Se、Zn等11个元素。结果表明,与土壤背景值相比,南京市大气降尘中除Cr、Fe、Mn外的重金属含量总体明显升高。采用相关分析和主成分分析,对降尘重金属元素来源进行解析,认为有三种主要来源:一是As、Cu、Hg、Pb、Se与燃煤活动、汽车尾气排放有关。二是Cd、Ni、Zn、Mo可能与化学工业有关,但Mo还受工业活动、土壤颗粒物的影响。分析还表明,在化工业园附近的样点,这些元素含量普遍较高。三是Mn、Cr主要与土壤颗粒物有关(自然来源)。以Fe作为参考元素计算重金属的富集因子表明,自然来源的Cr、Mn具有较小的富集因子,而受工业活动影响的Cd、Pb、Se、Zn具有较大的富集因子。     

神木北部矿区不同土壤类型下重金属污染特征与评价

通过测量神木北部矿区及其毗邻地区2种土壤类型(风沙区和黄土区)下8种重金属(As、Cd、Cr、Hg、Pb、Cu、Zn、Ni)元素含量,评价矿区整体土壤重金属污染情况。结果表明:研究区2种土壤条件下除Pb和Cd外,其他6种重金属含量较毗邻未开采区具有显著增加,但8种土壤重金属含量均没有超过国家土壤环境质量二级标准;风沙区土壤污染程度较黄土区大;重金属元素污染分担率表现为HgZnAsCuNiCrPbCd;Hg、Zn和Cr 3种元素在两种土壤类型中均为重度污染,As、Cu和Ni属于中轻度污染,Cd和Pb属清洁安全类。     

江西省赣县沙地土壤重金属的来源及环境等级评价

为研究赣县沙地土壤中重金属的来源,进行环境等级影响评价,在研究区采取了2708件土壤样对Cd、Cr、As、Hg、Cu、Pb、Zn、Ni八种重金属元素及pH进行分析测试,按照现有环境地球化学等级标准进行评价,利用地质统计分析法和空间分析法,探讨分析重金属元素可能来源。结果表明:研究区土壤中的As、Pb和Cu平均值均低于赣州市背景值,Cd、Hg、Cr、Zn和Ni平均值略高于赣州市背景值。与全国土壤背景值相比,Cd、Pb平均值高于全国土壤背景值,As、Co、Ni、pH、Cu低于全国土壤背景值,土壤中Hg、Zn背景值含量与全国背景值相差不大;各重金属元素具有较好的空间相关性,空间变异主要受结构性因素为主,受随机性因素较小;基于各元素半差函数块基比,结合元素间相关系数及因子载荷分析,研究区中Cd、Cr、Cu、Pb、Zn和Ni主要受地球化学成因影响,得出AS、Cd和Pb土壤污染主要来自地质高背景。     

自贡市龙潭镇土壤中重金属的地球化学基线及污染状况研究

地球化学基线是区分地球化学背景和异常的重要参数.在采集和测试自贡市龙潭镇内168个表层土壤样品的基础上,采用了地质统计学方法建立了研究区内重金属元素As、Cd、Cr、Pb、Hg、Cu、Ni、Zn的地球化学基线.在此基础上,应用地质累积指数方法评价了表层土壤重金属的污染状况.结果表明:区内各重金属元素基线值为As(3.86 μg/g)、Cd(0.183μg/g)、Cr(66.41 μg/g)、Pb(28.19 μg/g)、Hg(0.037 μg/g)、Cu( 23.1 μg/g)、Ni(24.5 μg/g)、Zn(62μg/g);研究区内Cd和Hg的污染较突出,各重金属元素的地质累积指数排序为:Cd＞H g＞Zn＞Cu＞As＞Cr＞Ni＞Pb.     

内江市双桥乡土壤重金属含量及风险评价

以四川省内江市双桥乡为研究区域,调查分析各类土壤中重金属（Cu、Pb、Zn、Cd、Cr、As、Hg、Ni）含量情况。采用单因子污染指数、内梅罗综合污染指数和富集因子评价方法,对土壤重金属污染状况进行评价。研究结果表明,该地区Cd、Cr、Cu、Ni、Pb、Zn元素平均含量高于成都经济区、四川省、中国土壤背景值,有一定程度的Cd、Cr、Cu、Ni、Pb、Zn富集,Hg元素有个别样点含量偏高,并且单因子重金属的污染程度依次为：Cd〉Ni〉Zn〉Cu〉Cr〉Pb〉As〉Hg,Cd在绝大部份区域存在轻微污染,由内梅罗污染指数和富集因子评价得出区域综合污染程度为轻度。     

Statistical characteristics of heavy metals content in groundwater and their interrelationships in a certain antimony mine area

In recent years, most of domestic and foreign researches about heavy metal pollutions of metal mine mainly focus on water, soil and plants on the surface. There is lack of researches about heavy metal pollution in groundwater of metal mine. In this research, a certain antimony mine area is selected as a typical study area. Also, the study about statistical characteristics of heavy metals in groundwater has been carried out. Furthermore, the interrelationships have been preliminarily discussed through related analysis, such as relevant analysis, cluster analysis and principle component analysis. The results show that: the excessive elements in groundwater of study area are Sb, As, Pb, Se, and Ni. The average mass concentration of Sb, As, and Pb is higher than that of drinking water standards (GB5749-2006). The concentration of most heavy metals in dry season is lower than or equal to that in wet season for groundwater. Zn is the only metal in groundwater showing a different pattern, the concentration of which in dry season is higher than that in wet season. Under the impacts of stratum leaching and absorption effect, the concentration of heavy metals (except Pb and Ba) in groundwater are lower than or equal to that in surface water. As and Se, the two heavy metals have a significant positive correlation, which shows the two elements might have gone through similar environmental geochemical effect. Also, the connection among Zn, Hg, Pb, and Mn is not obvious; therefore, the sources of those elements are quite different. In addition, the elements of Se and As have obvious positive interrelationship with elements of CO32- and F-. Also, the Pb has significant positive correlation with PO43-, H2SiO3 and oxygen consumption. The results of cluster analysis show that 9 different heavy metals in the study area can be divided into 3 categories: Zn, Cd, Mn, Hg, Cu, and Cr belong to the first category, Se and As belong to the second one, and the last category is Pb. Also, the principle component analysis divides 6 heavy metals (Zn, As, Hg, Pb, Mn, and Se) into 4 different principle components, which can be utilized to assess heavy metals pollution situations in groundwater. The reliability of this method is higher than 91%. Moreover, the research provides theory basis and models for establishing evaluation index system and exploring the evaluation method of heavy mental pollution in groundwater.     

广西红水河中下游马山地区地下水重金属含量及分布特征

为了解红水河中下游马山地区地下水重金属含量及分布特征,以西南岩溶地下水污染调查评价中广西红水河中下游马山地区地下水数据为基础,对该地区27件样品的重金属含量特征、重金属间相关关系、重金属与其它化学组分的相关性以及地下水重金属分布特征进行了研究。结果表明:研究区地下水中重金属含量整体偏低,平均质量浓度顺序为Fe＞(Al)＞Zn＞Mn＞Pb＞Se＞As＞Cd,重金属平均质量浓度均小于中国生活饮用水标准值,且绝大部分重金属含量远远低于该标准值。Mn与Fe、As、Al存在显著或极显著的正相关关系,Zn与Pb、Cd存在明显的相关性,Se与其它７种重金属的相关性均不明显,可能是由于Se与其它重金属的来源差异较大所致。地下水的酸碱性对重金属的富集影响较小,但地下水中主化学成分HCO3-和Ca2+对重金属的富集有较大影响,TDS对绝大部分重金属的影响较小,对As和Cd具有一定的影响。地下水中Mn、Zn、As、Pb、Cd、Se、Al、Fe质量浓度在空间上表现出一定的地区分布特点,整体上重金属高浓度点主要集中在马山县城周围以及古寨、乔利街乡镇周围。      

长江口海域表层沉积物重金属元素赋存形态特征

通过长江河口地区水下表层沉积物样品多种化学元素的赋存形态分析测试数据,综合分析重金属元素的赋存形态特征。研究结果显示：镉、汞、铅残渣态所占比例均小于50%,锌、砷、铬、铜、镍残渣态占比均大于50%;8个元素的残渣态与全量呈显著正相关关系。沉积环境和沉积物粒径对重金属元素赋存形态具有重要影响。沉积物的物质来源、矿物组成特征、水动力作用与沉积物粒度和物理化学条件等是长江口地区表层沉积物重金属元素赋存形态的主要控制因素。     

The distribution and risk assessment of heavy metals in water,sediments, and fish of Chaohu Lake,China

In this study, the concentrations of seven heavy metals (As, Cd, Cu, Cr, Ni, Pb, and Zn) in the water, sediments, and nine tissues of eight fish species in Chaohu Lake were detected. And the ecological risk of sediments and food safety caused by heavy metals were evaluated. The mean concentrations of metals (As: 8.21, Cd: 0.58, Cu: 2.56, Cr: 0.50, Ni: 26.47, Pb: 3.51, Zn: 23.05 μg/L) in the water were found lower than the threshold values for the first-grade water quality (China environmental quality standards for surface water). The mean concentrations of Cr, Cu, Ni, Pb, and Zn in the sediments were 41.79, 19.31, 7.61, 7.09, and 102.85 μg/g, respectively, while the concentration of As and Cd was recorded below the detection limit. The ecological risk assessment demonstrated that metals in the sediments posed low ecological risk. The bioaccumulation of metals in fish tissues showed relatively high concentrations in liver, brain, kidney, and intestines while low levels of metals were detected in muscle. A fascinating phenomenon was firstly noticed that all metals highly existed in fish brain and exhibited an especially significant positive correlation with the metal concentrations in sediment, indicating a health risk for Chinese due to their consumption favor of fish head.     

某矿区土壤重金属分布特征及来源解析

为探究赣南某矿区土壤重金属污染状况及来源,以该矿区内40个土壤样品为研究对象,分析了土壤中Cu、Pb、Zn、Cr、Ni、Cd、As和Hg等8种重金属元素的含量,并采用频率直方图、相关性分析、主成分分析等多种统计方法探究了土壤重金属含量的分布特征及来源。研究结果表明:(1)研究区8种重金属中有7种不同程度地超过了江西省土壤重金属元素背景值;(2)Pb、Zn、As和Hg的含量接近正态分布,而Cu、Cr、Ni和Cd的含量则呈现出右偏分布的趋势,这可能与研究区矿山开采活动及土地利用类型等因素有关;(3)矿区土壤重金属相关性分析表明,Cu、Cr、Ni的同源性较高,可能具有相同的污染源,而Pb、Zn、Cd等元素与Cu、Cr、Ni相比,其来源可能存在一定的差异;(4)主成分分析结果显示,矿区内土壤中8种重金属元素含量可以由2个主成分来解释,所代表的实际意义按贡献率排序分别是成土母质和人为采矿活动;(5)矿区内土壤重金属污染物主要为Pb、Zn、Cd,人为采矿活动是这三种重金属污染的主要来源。     

Spatio-temporal trends of heavy metals and source apportionment in Tolo Harbour,Hong Kong

This study provided a picture of the spatial and temporal distributions of Cr, Co, Ni Cu, Zn, As, Cd and Pb in bottom sediments of Tolo Harbour. The concentrations of the eight heavy metals differed significantly between sites due to the poor tidal flushing in Tolo Harbour. The levels of Cu, Zn, Cd and Pb were generally enriched in sediments from inner Tolo Harbour, while sediments from outer Tolo Harbour (Tolo Channel) had higher levels of Cr, Co and Ni. The redox sensitive element arsenic showed no distinct spatial pattern in Tolo Harbour. The decreasing levels of Cu, Zn, Pb and Cd in sediments with increasing distance from land demonstrated a typical diffusion pattern from land to the direction of sea. Two hot spots of Cu, Zn, Pb and Cd in sediments were located near Tai Po and Sha Tin new town, indicating that Cu, Zn, Pb and Zn were from land-derived sources. The sites with relatively high levels of Cr, Co and Ni in sediments were located in areas close to waste spoil in sea floor. The natural and anthropogenic inputs from Sha Tin and Tai Po to Tolo Harbour were mostly responsible for Cu, Zn, Cd and Pb enrichment in sediments from inner Tolo Harbour. The waste spoil in sea floor was believed to contribute to the Cr, Co and Ni in outer Tolo Harbour. The results of correlation coefficient between the eight heavy metals showed that Cu, Zn, Cd and Pb were strongly positively correlated, and Cr, Co and Ni were also significantly correlated with each other. The best explanation of strong correlation was their similar source. As, however, is not well correlated with the other seven heavy metals. The average concentrations of Cu and Zn displayed general increasing trends from 1978 to 2006 in Tolo Harbour, while the mean levels of Cr and Pb displayed a substantial decrease from 1978 to 1987, then a slight increase after 1987. No distinct temporal trends of the concentrations of Ni and As were observed from 1978 due to the inconsecutive data. On the other hand, the increasing trends of Cr, Cu, Zn, Cd and Pb were observed since 1996.     

Application of multivariate geostatistics in the investigation of heavy metal contamination of roadside dusts from selected highways of the Greater Toronto Area, Canada

A good understanding of roadside soil contamination and the location of pollution sources is important for addressing many environmental problems. The results are reported here of an analysis of the content of metals in roadside dust samples of four major highways in the Greater Toronto area (GTA) in Ontario, Canada. The metals analyzed are Pb, Zn, Cd, Ni, Cr, Cu, Mn, and Fe. Multivariate geostatistical analysis [correlation analysis (CA), principal component analysis (PCA), and hierarchical cluster analysis (HCA)] were used to estimate soil chemical content variability. The correlation coefficient shows a positive correlation between Cr–Cd, Mn–Fe, and Fe–Cu, while negatively between Zn–Cd, Mn–Cd, Zn-Cr, Pb–Zn, and Ni–Zn. PCA shows that the three eigenvalues are less than one, and suggests that the contamination sources are processing industries and traffic. HCA classifies heavy metals in two major groups. The cluster has two larger subgroups: the first contains only the variables Fe, Mn, Cu, Cr, Ni, and Pb, and the second includes Cd and Zn. The geostatistical analysis allows geological and anthropogenic causes of variations in the contents of roadside dust heavy metals to be separated and common pollution sources to be identified. The study shows that the high concentration of traffic flows, the parent material mineralogical and chemical composition, and land use are the main sources for the heavy metal concentration in the analyzed samples.