贵州红枫水库沉积物重金属污染评价及来源分析

为了解红枫水库沉积物重金属污染现状,沿库区采集8个点共计80个沉积物样品,采用原子荧光光谱仪及原子吸收光谱仪对重金属Hg、As、Pb、Cd、Cr、Cu、Zn和Ni含量进行了测定,利用地积累指数(Igeo)和潜在生态风险指数(RI)进行污染评价,同时进行相关性分析并讨论其污染来源。结果表明:红枫水库北湖沉积物重金属含量明显高于南湖,8种重金属Hg、As、Pb、Cd、Cr、Cu、Zn、Ni的平均含量依次为0.56、35.76、43.66、0.50、91.03、89.14、152.44和109.30 mg·kg-1;以贵州省土壤背景值为参比,地积累指数评价结果显示Hg为中等污染,污染顺序为HgNiCuAsZnPbCrCd,综合潜在生态风险指数评价结果显示红枫水库为中等生态风险;库区沉积物重金属污染来源于三方面:一是工业排放,主要集中在北湖和中湖,重金属包括Pb、Zn、Cd;二是城市排放及周边农药、化肥残留,主要污染区为北湖、中湖,污染物为Cr、Ni、As和Cu;三是矿区开采,污染覆盖全湖区,主要包括Hg和As。     

粤东沿海典型供水水库沉积物重金属污染特征

通过测定广东省东部沿海地区4座典型供水水库柱状沉积物主要重金属(Cr、Cu、Pb、Zn、Cd和Hg)含量,揭示了这4座水库沉积物重金属的污染特征及历史,并运用地积累指数及潜在生态危害指数法分别对表层沉积物重金属污染状态进行评价,最后分析了重金属可能来源。结果表明,除Cr外,Cu、Pb、Zn、Cd和Hg的含量均高于中国土壤环境质量标准Ⅰ类土标准值和工业化前全球沉积物重金属最高背景值,且4座水库间含量变异较大,表明4座水库沉积物均存在不同程度的重金属污染。据地积累指数评价,各重金属污染程度顺序为:Pb>Zn>Cd>Cu>Cr>Hg。潜在生态危害评价表明,河溪、汤溪及公平水库的生态危害程度要低于赤沙水库,各重金属污染程度顺序为:Cd>Hg>Pb>Cu>Zn>Cr,其中Cd和Hg对综合生态危害指数的贡献最大。4座水库沉积物重金属含量与人类活动强度表现出了较强的相互关系,流域内人类活动较强的公平、赤沙水库污染程度要明显高于人类活动较少的河溪和汤溪水库。     

升金湖国家级自然保护区湖泊沉积物重金属分布及污染评价

为了解升金湖湿地生态系统环境状况, 采集表层沉积物样品, 分析其中重金属Cd、Cu、Pb、Zn和Hg以及粒度、TOC和TN的含量和分布特征, 运用地质累积指数法和潜在生态风险指数法进行污染程度和潜在生态风险评价。结果表明, 沉积物中Cd、Cu、Pb、Zn和Hg的平均含量分别为0.91 mg•kg-1±1.00 mg•kg-1, 37.51 mg•kg-1±7.69 mg•kg-1, 50.11 mg•kg-1±12.34 mg•kg-1, 147.98 mg•kg-1±20.97 mg•kg-1和118.7 μg•kg-1±45.6 μg•kg-1, 均高于区域水系沉积物元素背景值。相关分析显示, Cu、Pb和Zn显著正相关, 指示它们具有同源性。地质累积指数法计算结果表明升金湖重金属污染水平较低, 重金属累积程度排序为Hg>Cd>Cu>Pb>Zn;而潜在生态风险指数法结果表明升金湖整体处于中高度生态风险状态, 排序为Hg>Cd>Cu=Pb=Zn, Hg和Cd是主要的风险贡献因子。重金属污染程度与潜在生态风险指数有时候取决于环境背景值的选取。     

临安市雷竹林土壤重金属污染特征及生态风险评价

为了解临安市雷竹林土壤重金属污染特征,采集并测定了160个土壤样品的Hg、As、Cu、Pb、Zn、Cd、Cr、Ni、Co、Mn等重金属含量,采用单因子污染指数和内梅罗综合污染指数对雷竹林土壤重金属污染程度进行分析,并应用Hankanson潜在生态风险指数法对雷竹林土壤重金属潜在生态风险进行评价.结果表明:雷竹林土壤重金属Hg、As、Cu、Pb、Zn、Cd、Cr、Ni、Co、Mn的平均含量分别为0.16、7.41、34.36、87.98、103.98、0.26、59.12、29.56、11.44、350.26mg·kg-1,Pb、Cd、Zn和Cu平均值超过浙江省土壤背景值,分别是对应背景值的2.89、1.70、1.12、1.12倍.经单因子污染指数评价,不同重金属元素的平均污染程度大小依次为Pb＞Cd＞Cu=Zn＞Hg＞As＞Ni＞Co＞Cr＞Mn,其中Pb有中度污染,Cd、Cu和Zn有轻度污染.经内梅罗综合污染指数评价,160个样点都受到不同程度的重金属污染,轻度污染、中度污染和重度污染水平所占比率分别为55.6％、29.4％和15.0％.各重金属单因子潜在生态风险指数平均值评价结果显示,只有Cd污染达到中等生态风险,其他重金属均为轻微生态风险,而局部采样点Cd和Hg单因子潜在生态风险指数最大值分别达到256.82和187.33,存在很强生态风险.重金属综合因子潜在生态风险指数评价结果表明,临安市雷竹林土壤整体上存在轻微生态风险.     

贵阳花溪区石灰土林地土壤重金属含量特征及其污染评价

选取贵阳市花溪区典型石灰土林地土壤作为研究对象,分析了林地石灰岩和土壤中7种重金属(Cu、Zn、Mn、Cd、Ni、Pb、Co)的含量特征,以贵州省土壤背景值和全国石灰(岩)土类背景值为评价标准进行林地土壤重金属污染评价和潜在生态风险评价.结果表明:林地石灰岩以Pb的平均含量(40.21mg·kg-1)最高,Zn的(5.78 mg·kg-1)最低,7种重金属平均含量高低顺序为:Pb＞Ni＞Mn＞Co＞Cu＞Cd＞Zn;林地土壤中以Mn的平均含量(451.16 mg·kg-1以上)最高,Cd的(2.87mg·kg-1以下)最低,7种重金属含量的变异系数在8.57%～63.10%之间,Zn的平均含量明显低于贵州省土壤背景值和全国石灰(岩)土类背景值,Cu、Mn、Cd、Pb、Ni、Co的平均含量高于或接近于贵州省土壤背景值和全国石灰(岩)土类背景值.Cu、Zn、Mn、Ni、Co,Ni与Pb,Cd与Pb,Cd与Co来源相同的可能性较大,而Cd与Cu、Ni,Pb与Mn、Cu、Co的来源不同;石灰土偏碱性,富含Ca、Mg元素,有利于重金属Cd、Pb的累积.单因子污染指数和多因子综合指数(内梅罗指数法)与Hakanson潜在生态危害指数的评价结果一致,林地土壤重金属综合污染指数在3.67以上,达到重污染程度,以Cd的污染指数(4.94以上)最高,污染程度最为严重,其次是Pb(1.82以上),Zn、Mn污染程度最低,林地土壤重金属潜在生态危害指数(RI)为173.75以上,为中度生态危害程度,产生最大生态危害的是Cd,其次是Pb、Ni、Co、Cu,危害程度最小的是Mn、Zn,在相同的成土母岩和人为活动影响下,无林地土壤重金属的综合污染指数和潜在生态危害指数均明显高于有林地.     

东江沉积物重金属分布特征及污染评价

采用ICP-MS对东江河流沉积物中的重金属进行分析,发现东江沉积物中Cu、Zn、Cd、Hg等重金属呈现相同的变化特点,高值区和低值区基本一致.东江流域沉积物的重金属污染物主要是Cu、Zn、Cd、Hg、Pb,其平均含量分别为157.29、213.21、0.98、0.42、50.77mg·kg-1,均高于中国大陆沉积物背景值.地累积指数法和Hakanson潜在生态危害指数法对东江流域沉积物污染程度和生态危害程度的评价结果显示,东江沉积物中地累积指数从大到小的顺序为Cd、Cu、Zn、Hg、Pb;从总的污染程度来看,东江沉积物中各重金属对生态风险影响程度从大到小的顺序为Hg、Cd、Cu、Pb、Zn;从总的生态风险指数上看,整个东江流域除处于上游的河源市段生态风险低外,处于中游的惠州段生态风险为"较高",处于下游的东莞段生态风险为"极高".     

青山水库表层沉积物重金属污染特征及生态风险评价

在位于浙江省临安市的青山水库采集了具有代表性的8个样点的表层沉积物样品,分析比较了样品中As、Cr、Cu、Ni、Mn、Pb、Zn等7种重金属总量的差异,采用BCR连续提取法对重金属不同形态(酸提取态、可还原态、可氧化态、残渣态)进行分析.采用地积累指数法(I_geo)和Hakanson潜在生态风险指数法,对青山水库不同采样点表层沉积物中重金属的污染程度和潜在毒性与生态风险进行评价.结果表明: 青山水库表层沉积物重金属污染程度存在明显的空间差异,流经城区和工业园区的青山水库支流入库河口附近的表层沉积物重金属含量明显高于其他采样点.青山水库表层沉积物7种重金属中,Mn主要以酸提取态存在;Cu和Pb主要以可还原态形式存在;As主要以残渣态形式存在.流经城区的支流入库河口附近表层沉积物还原态和酸提取态重金属比例较高,对水生生物有一定的毒性风险.8个样点的表层沉积物7种重金属中,以As污染程度最高,潜在生态风险最大,其次是Cu、Ni、Mn、Pb和Zn,均处于轻度污染状态,而Cr处于清洁水平,潜在生态风险较低.不同采样点比较发现,分别流经城区的锦溪和工业园区的横溪入库河口附近表层沉积物重金属污染程度和潜在生态风险明显高于其他采样点.     

上海城区河道底栖动物群落特征与沉积物重金属潜在生态风险

2007年10月—2008年10月对上海市城区4条河道(午潮港、横港、朝阳河、曹杨环浜)底栖动物群落进行了逐月采样调查,共获得底栖动物20种,其中,软体动物门14种,环节动物门3种。分析表明:4条河道底栖动物多样性指数均较低,Shannon指数最高达0.602,均为重污染河道。大型底栖动物多样性指数客观地反映了河道的水体环境质量状况;软体动物体内重金属Pb、As和Zn残留分别超出国家标准1.15、0.32和0.23倍;沉积物中Cd、Cu、Pb、Zn含量均超出国家标准,软体动物体内和沉积物中重金属含量没有相关性;单金属潜在生态风险系数(Eri)显示,沉积物中6种重金属的潜在生态风险顺序为CdPbCuAsZnCr,Cd污染为强生态危害;多金属潜在生态风险指数(RI)显示,4条河道沉积物重金属污染为中等。     

洞头列岛土地利用对土壤及沉积物重金属污染的影响及其生态风险评价

针对浙江省洞头列岛不同土地利用类型土壤及沉积物中的重金属含量进行调查, 选择了五种土地利用类型,农田、森林、围涂、码头、养殖。主要评估重金属的污染现状, 区域快速产业化导致的土壤及沉积物中重金属污染及生物的潜在生态风险。采用内梅罗指数法、Hakanson 潜在生态危害系数法对重金属的潜在生态风险进行评价。结果表明, 洞头列岛不同土地类型的土壤重金属含量均超过浙江省土壤背景值, 其中, Cr、Mn、Co 超标率为100%, Zn 超标率为84%。多数监测点土壤重金属含量的内梅罗综合指数处于清洁水平, 但养殖类型中的As、Co, 围涂类型中的As、Pb, 农田类型中的Pb、Cr 属于尚清洁等级, 围涂中的Co 元素属于轻度污染等级; 综合潜在生态风险指数(RI)均显著低于轻微生态危害水平, 五种土地类型土壤质量的RI 大小顺序为: 养殖>围涂>码头>森林>农田, Pb、As 是主要的重金属生态风险种类。重金属元素之间的相关性分析表明, 围涂与码头土壤中重金属元素之间的相关性明显高于其他三种类型。围涂类型土壤中As 与Co、Cu 元素呈极显著正相关, Pb 与Zn 呈极显著正相关; 码头类型中的Cu 与Co 呈极显著正相关, As、Pb 与Zn 呈极显著正相关。Cu 与As 在码头、养殖、围涂类型中的含量较高。五种土地类型中除农田和养殖用地的某些重金属来源于成土母质, 其他各重金属来源主要是人为活动影响, 如: 交通运输、城市排污、三废排放以及汽车尾气等。因此, 应该把由人类活动导致的有毒重金属的污染控制作为首要任务, 制定相应的政策和法规。     

贵州草海沉积物重金属时空分布特征与生态风险评价

在草海选取代表性点位采集表层沉积物和沉积物柱芯,测定沉积物Cr、Ni、Cd、Co、Pb、Zn和Sb等重金属含量,研究草海沉积物重金属时空变化特征、来源及潜在生态危害。结果表明:草海表层沉积物中Cd、Pb、Zn和Sb在湖泊北部、湖心及西南湖区含量较高,且由北向西南方向呈扇形分布,主要来源于周边矿产资源的开发;Cr、Ni和Co在湖泊最西端区域含量较高,主要受城镇生产生活污水排放影响;草海沉积物中Cd和Sb污染最严重,其地质累积指数分别为1.50~4.62(平均值3.10)和1.63~3.45(平均值2.61);潜在生态危害指数显示,草海沉积物Cd的生态风险较高,且湖心区域最严重。草海沉积物柱芯中重金属的垂直剖面分布正好对应了草海流域的矿产开采历史。尽管流域矿产资源开采活动已经停止,但以往矿产资源开采及冶炼过程中产生的重金属仍是目前草海重金属污染的主要来源。因此,应制定合理措施,严格控制重金属污染来源,并建立有效的沉积物重金属污染治理措施,恢复草海生态环境。     

广西锰矿恢复区食用农作物重金属污染评价

对广西平乐、荔浦两锰矿恢复区种植的食用农作物进行了调查和重金属含量分析.结果表明:两锰矿区农作物Zn、Pb、Cr、Cu和Cd的含量范围分别在1.18~20.46、0.52~16.16、0.33~6.62、0.01~6.24和0.01~2.76mg.kg-1之间.其中,豆类作物中的重金属含量最高,其次是薯类.单因子污染指数评价表明,农作物基本未受Zn、Cu污染,但受Pb、Cd和Cr污染严重,以Pb污染最重,受污染率达100%,Cr和Cd受污染率分别为96.9%和75.0%;从综合污染指数来看,农作物受污染率达100%,其中,重、中、轻污染分别占87.5%、9.4%和3.1%.表明在锰矿废弃地直接种植食用农作物存在较大风险,应重新考虑其恢复利用模式.     

Assessment of Heavy Metals Contamination and Potential Ecological Risk in Soils Affected by a Former Mn Mining Activity,Drama District,Northern Greece

Manganese mining activities in the Drama district, northern Greece, have resulted in a legacy of abandoned mine wastes at the “25 km Mn-mine” site. Current research was focused on the western Drama plain (WDP), constituting the recipient of the effluents from Xiropotamos stream, which passes through the “25 km Mn-mine” place. A total of 148 top soil samples were collected and their heavy metals (HMs) concentrations (Mn, Pb, Zn, Cu, Cd, and As) were determined using inductively coupled plasma mass spectrometry. Enrichment factor (EF), geoaccumulation index (Igeo), and pollution load index (PLI) were calculated as an effort to assess metal accumulation, distribution, and pollution status of the soils due to the former mining activity. The overall potential ecological risk of HMs to the environment was also evaluated using the potential toxicity response index (RI). Results showed that peak values of the elements (13 wt% for Mn, 0.2 wt% for Pb, 0.2 wt% for Zn, 0.1 wt% for As, 153 mg/kg for Cu, and 27.5 mg/kg for Cd) were found in soils from sites close to and along both sides of the Xiropotamos stream. In this sector of WDP, values of EF, Igeo, and PLI classify the soils as moderately to highly polluted with Mn, Pb, Zn, Cd, and As. Based on RI values, soils in this part of WDP display considerable to very great potential ecological risk and, therefore, a remediation has to be applied. The main cause of soil contamination is considered the Xiropotamos downstream transfer and dispersion of Mn mine wastes via flooding episodes.     

Source identification and risk assessment of heavy metals in road dust of steel industrial city (Anshan), Liaoning,Northeast China

Abstract

The purpose of the study was to acquire the source and evaluate the risk posed by heavy metals in road dust of steel industrial city (Anshan), Liaoning, Northeast China. Potential ecological risk index (RI), pollution index (PI) and geo-accumulation index (Igeo) were applied to evaluate the heavy metal pollution level, and the carcinogenic risk (RI) and hazard index (HI) were calculated to estimate the human health risk. The geographic information system maps clearly reveal the hot spots of heavy metal spatial distribution. Principle component analysis (PCA) and cluster analysis (CA) classified heavy metals into three groups. The metal Zn and Pb originate from the traffic emission, while Cd, Cr, Fe, Mn, Ni and Sb primarily come from industrial activities. These two pathways were the major source of heavy metals pollution by positive matrix factorization (PMF). The Igeo and PI values of heavy metals were decreased in the following order: Cd?>?Sb?>?Zn?>?Fe?>?Pb?>?Cu?>?Cr?>?Sn?>?Mn?>?Ni. The RI index showed the heavy metals were moderate to very high potential ecological risk. The HI values for children and adults presented a decreasing order of Cr?>?Pb?>?Ni?>?Cu?>?Cd?>?Zn. The HI also predicted a possibility of non-carcinogenic risk for children living in urban areas in comparison with adults.     

广东大中型水库底泥重金属含量特征及潜在生态风险评价

广东省45宗大中型水库底泥重金属含量分析评价结果表明:除Cr外,广东省大中型水库底泥中Cu、Zn、Pb和Cd含量均高于广东省土壤重金属含量背景值.广东省四大地理区域中,粤北地区大中型水库底泥Cu、Zn、Pb和Cd平均含量均为最高,分别为89.71、321.21、154.95mg/kg和1.46mg/kg;其次是粤东和粤中地区;粤西大中型水库底泥Cu、Zn、Pb和Cd平均含量均为最低,但Cr平均含量居四大区域之首,为130.81mg/kg.粤东和粤北大中型水库底泥重金属富集系数以Cd最高;粤中和粤西大中型水库底泥重金属富集系数则以Cu最大.总体而言,粤北大中型水库底泥重金属具有很强的潜在生态风险,粤东和粤中大中型水库底泥重金属潜在生态风险程度为中等;粤西大中型水库底泥重金属属于轻微生态风险程度.结果说明,广东省大部分地区大中型水库底泥的重金属潜在生态风险主要是由于底泥中Cd的潜在生态风险系数过高所造成.人为生产活动,特别是矿产开采造成的污染是广东省大中型水库底泥重金属潜在生态风险等级提高的主要原因.     

Concentration and ecological risk of heavy metal in street dusts of Eslamshahr,Iran

This study was done to evaluate heavy metal concentrations in street dust samples, to compare measured concentrations in samples to background concentrations in order to make evaluations for pollution indices, and to describe the quality of street dust in the studied area in relation to pollution. A total of 30 cumulative samples were collected from the streets of Eslamshahr City. Concentrations of heavy metals were determined using an Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). Results determined mean concentrations (mg/kg) of the heavy metals Cd, Cr, Cu, Ni, Pb, and Zn, in collected samples of street dust as 0.34, 35.1, 239, 42.4, 71.3, and 573, respectively. I_geo values for Cd and Cr, Cu, Ni, Pb, and Zn showed level of moderately polluted, unpolluted, moderately to strongly polluted, unpolluted, moderately polluted and moderately to strongly polluted, respectively. The pattern of total metal concentrations in the studied area was ranked as follows: Zn and Cu>Pb>Cd>Ni>Cr. The highest values for the monomial potential ecological risk (E_r) were observed for Cd (114). The mean level of RI for the studied soil samples was 192 (91.3–244), which is classed as presenting a strong potential ecological risk.     

上海市小羽藓属植物重金属含量及其与环境的关系

应用原子吸收法对上海市13个样点的小羽藓植物体及相应土壤样品中的Cu、Pb、Cd、Zn、Cr 5种重金属元素含量进行了测定.通过对植物体内含量的聚类分析,将13个样点按重金属污染程度的轻重分为3个组：1)污染严重点,包括桂林公园、复兴公园、光启公园3个样点,均位于市区交通繁忙地带,其小羽藓体内重金属含量分别为：Cu 35.25～50.36 mg·kg^-1、Pb 55.50～65.00 mg·kg^-1、Cd 1.68～2.30 mg·kg^-1、Zn 829.63～1140.13 mg·kg^-1、Cr 7.41～16.41 mg·kg^-1;2)污染点,包括长风公园、古钟园、中山公园、和平公园、上海师范大学徐汇校区5个样点,均位于市区近郊,小羽藓体内重金属含量分别为：Cu 18.51～62.50 mg·kg^-1、Pb 14.38～34.25 mg·kg^-1、Cd 0.81～1.40 mg·kg^-1、Zn 354.25～671.75 mg·kg^-1、Cr 3.62～25.08 mg·kg^-1;3)相对清洁点,包括佘山、大观园、罗泾、植物园、崇明东平国家森林公园5个样点,位于上海市远郊,小羽藓体内重金属含量分别为：Cu 11.13～16.41 mg·kg^-1、Pb 4.63～27.25 mg·kg^-1、Cd 0.93～1.28 mg·kg^-1、Zn 489.25～1 086.75 mg·kg^-1、Cr 1.53～7.62 mg·kg^-1.结果表明,小羽藓属苔藓植物可作为监测上海地区环境重金属污染的良好指示植物.苔藓植物体内重金属含量水平与土壤重金属含量存在一定的相关性,而且也受其他因素的影响.     

铜尾矿区土壤与凤丹植株重金属富集研究

对安徽铜陵铜尾矿区凤丹种植地的土壤和凤丹中重金属污染状况进行了研究,结果表明,尾矿库区种植地极端贫瘠,有机质含量仅1．1～3．4g·kg^-1,而土壤Cu、Cd、Pb、Zn含量皆高于对照土壤,其中Cu含量达587．43～1176．44mg·kg^-1,Cd含量达3．08～5．16mg·kg^-1,约达国家土壤二级标准的10倍,凤丹各部位的Cu、CA和Pb含量均超过了药用植物的限量标准,尤其是根皮部位Cu含量达31．50～64．00mg·kg^-1,Cd含量达0．98～1．45mg·kg^-1,超出标准1．6～3．6倍,表明种植地和凤丹都受到严重污染．凤丹不同部位中的Zn、Cd、Pb和Cu分别以茎、叶、叶和根皮中的含量最高．凤丹对Cd、Zn的富集比Cu和Pb高,但在根皮中的富集系数均较小。     

Assessment of heavy metal pollution and ecological risk in marine sediments (A case study: Persian Gulf)

This study was made to determine the pollution status and potential ecological risk of heavy metals in sediment of Persian Gulf. Surface sediments were collected seasonally by Peterson grab, and the concentrations of heavy metals were measured by using inductively coupled plasma–optical emission spectrometry (ICP–OES). The range concentrations obtained in mg/kg were 10,800–22,400 for Fe, 5.32–10.12 for Pb, 24.63–42.38 for Ni, 22.52–39.46 for Cu, and 31.64–47.20 for Cr. The concentrations of Pb, Ni, Cu, and Cr have been found lower than the Interim Sediment Quality Guidelines and probable effect level values suggesting that heavy metal contents in sediments from area of study would not be expected to cause adverse biological effects on the biota. The obtained enrichment factor values for various metals were between minimal enrichment (Pb = 0.5) and extremely enrichment (Cu = 3.11). The values of I_geo for Pb, Ni, Cu, and Cr were characterized under no pollution (0). The highest value of potential ecological risk index (RI) (8.36) was observed at St. 4 while the lowest value (5.25) was detected at station 6. Based on potential ecological RI, the Persian Gulf had low ecological risk.     

Soil Heavy Metal Pollution and Risk Assessment in Shenyang Industrial District,Northeast China

To investigate the soil heavy metal pollution characteristics and ecological risk factors, 42 samples and six typical soil profiles were collected from the Shenyang industrial district in northeast China and were analyzed for contents of titanium (Ti), copper (Cu), lead (Pb), zinc (Zn), cobalt (Co), nickel (Ni), chromium (Cr) and arsenic (As). Through statistical analysis, it was found that the mean concentrations were higher than their background values (Ti = 4.77>3.8g/kg, Cu = 33.75>22.6 mg/kg, Pb = 45.95>26 mg/kg, Zn = 81.54>74.2 mg/kg, Co = 12.91>12.7 mg/kg, Ni = 32.26>26.9 mg/kg, Cr = 83.36>61 mg/kg and As = 13.69>11.2 mg/kg) but did not exceed their corresponding pollution limits for the Chinese Environmental Quality Standard for Soils (State Environmental Protection Administration of China, 1995). There were contamination hotspots that may be caused by human activities such as smelting plants and sewage irrigation. The Enrichment Factor and Ecological Risk Index were used to identify the anthropogenic contamination and ecological risks of heavy metals. Soil in the study area could be considered lightly or partially polluted by heavy metals. According to clustering analysis, distinct groups of heavy metals were discriminated between natural or anthropogenic sources.