珠江三角洲污灌区地下水重金属含量及其相互关系

为了解污灌区地下水重金属含量特征,采集地表水样5组、地下水样14组进行化学组分定量分析。结果表明：污灌区地下水8种重金属元素中,仅有Ni和As两种元素超标,超标率分别为14.3％和42.9％。8种重金属含量在污灌区地表水、工厂废水以及地下水中存在明显的对应关系。Ni、Zn、Se、Cd这4种元素间存在显著或极显著的正相关关系,Cu与Pb和Cd分别呈极显著和显著的正相关关系,Cr仅与Ni呈显著的正相关关系,As与其它7种元素的相关性均不明显。聚类分析结果显示8种重金属可分为4类：Pb和Cu一类,Se、Cd、Ni、Zn一类,Cr和As均单独一类。Pb和Cu与Fe的相似性最好,Se、Cd、Ni、Zn与Mg²⁺存在较好的相似性,Cr与HCO^－₃的相似性最好,As与SO^2－₄存在一定的相似性。     

Distribution of total petroleum hydrocarbons in Dezful aquifer,Southwest of Iran

Determination of total petroleum hydrocarbon distribution (TPH) in groundwater of Dezful aquifer was the main purpose of this study. The study area, which is located between latitudes 32°00′ and 32°35′?N and longitudes 48°10′ and 49°35′?E, covers about 1,920 km² in the north of Khuzestan Province, Iran. Hydrocarbon pollutants in the area were being released into the aquifer, from a variety of sources. An oil pipe crash accident, which occurred on 19 Feb. 2009 in the vicinity of the northern part of the study area, released about 6,000 barrels of crude oil to the Karkhe River. Other possible sources of TPH in the region are asphalt factories, gas stations, and the Sabzab oil pump station. Since the main source of drinking water in the Dezful area is groundwater reservoirs, this study would be very crucial, especially when there is considerable agricultural activity in the area as well. In order to determine the presence of TPH and heavy metals in the groundwater, samples were taken from wells with different usage within two periods, i.e., in Nov. 2008 and May 2009. The second sampling operation was carried out to determine the effect of the accident in the water resources. In situ groundwater parameter measurements including pH, dissolved oxygen, temperature, and electrical conductivity were also carried out in the field. Based on the results, there are four zones in the study area which were contaminated with TPH from different origins: (1) southeast of Dezful City, which was contaminated by Shokati gas station; (2) southeast of Shush City, which was contaminated by an asphalt factory; (3) southwest of Dezful City, which was contaminated by Sabzab oil pump station; and (4) the shores of Karkhe River which were contaminated due to the pipeline crash accident. This could be a serious threat to the environment and human health because TPH concentration was higher than the EPA standard in the study area. Heavy metals were not distributed in a uniform pattern in the aquifer. The concentrations were lower than the contamination level based on the EPA drinking standard, and there was no meaningful relation between concentrations of TPH and the heavy metals. It was recommended that a monitoring network should be designed to monitor oil contaminants in the ground and surface water monthly because of importance of the water resources and presence of potential oil contaminant sources.     

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。      

鄱阳湖平原地下水重金属含量特征与健康风险评估

鄱阳湖平原作为长江中下游平原的重要组成部分,随着城镇化进程的快速推进,由于工矿业污染物、农村生活污水和农业生产废水向地下水的过量排放,农村地下水污染程度和范围不断扩大,为了解鄱阳湖平原地下水重金属污染状况,本研究在大量的水文地质调查和水化学样品测试基础上,分析该区地下水中重金属Cu、As、Cr、Hg、Pb、Cd含量特征,利用美国环境保护署(USEPA)的健康风险评价模型对鄱阳湖平原地下水重金属进行健康风险评价。研究区171个地下水样品中Cd、Cu、Hg、As、Pb、Cr等6种重金属元素含量变化幅度大,其中Hg、Cd和As平均值超过《地下水环境质量标准》(GB/T14848—2017)Ⅲ类标准,结果表明鄱阳湖平原地下水水质受人为影响大,局部地下水存在严重的污染。致癌物健康风险评价结果显示,Cr、As和Cd的平均个人年健康风险值均大于可接受风险值,Cr的健康风险值最大,是主要的致癌因子,As次之,Cd最低;非致癌物质健康风险结果显示,Hg、Pb和Cu的健康风险水平表现为Hg>Pb>Cu,属于可忽略风险。区域饮水途径上的健康风险主要来自致癌物质,总体上男性健康风险大于女性的健康风险。鄱阳湖平原地下水水质污染状况研究及治理监管工作提供理论依据,为其他区域地下水重金属的监测和质量控制提供参考和借鉴。     

北京市怀柔区土壤重金属的分布特征、来源分析及风险评价

在北京市怀柔区东南部农业区采集了977个表土样品,对其中Cr、V、Ni、As、Pb、Zn、Hg和Cd 8种重金属元素含量进行测试分析。通过地球化学成图清晰地呈现了这些元素的空间分布特征。利用数据统计分析,阐明了表土中这些重金属元素的含量分布特征,探讨了不同重金属的来源,并评估预测了其生态风险。研究结果表明Cr、V、Ni、As主要来源于成土母质;而Pb、Zn、Hg受交通和大气沉降等人类活动的影响较大;Cd则主要受到周边工厂以及农业施肥的影响。利用Hakanson法预测8种重金属的生态风险,除Cd外其他7种元素潜在生态风险均较低。本研究对怀柔区农业土壤的污染风险评价及土地利用规划具有一定的借鉴作用。     

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。     

Speciation and mobility of heavy metals in mud in coastal reclamation areas in Shenzhen,China

Coastal reclamation has been carried out along the coastal areas near Shenzhen, China in a large scale since 1980s by dumping fill materials over the marine mud at the sea bottom. Usually the area to be reclaimed is drained first and some of the mud is air-dried for a few weeks before it is buried by fill. After reclamation, the terrestrial groundwater, which is relatively acidic and with high dissolved oxygen, gradually displaces the seawater, which is alkaline with high salinity. The changes in the burial conditions of mud and the properties of the pore water in the mud may induce the release of some heavy metals into the mud. Field survey confirms that the pH and salinity of the groundwater in the reclamation site are much lower than the seawater. Chemical analyses of mud and groundwater samples collected from the reclamation sites reclaimed in different years indicate that most of the heavy metals in the mud decrease gradually with time, but the heavy metals in the groundwater are increased. The release of heavy metals into pore water due to reactivation of heavy metals in the mud is of environmental concern. To understand why some of the heavy metals can be released from the mud more easily than others, a sequential extraction method was used to study the operationally determined chemical forms of five heavy metals (Cu, Ni, Pb, Zn, and Cd) in the mud samples. Heavy metals can be presented in five chemical forms: exchangeable, carbonate, Fe–Mn oxide, organic, and residual. Ni and Pb were mainly associated with the Fe–Mn oxide fraction and carbonate fraction; Zn was mainly associated with organic fraction and Fe–Mn oxide fraction, while Cu and Cd were associated with organic fraction and carbonate fraction, respectively. If the residual fraction can be considered as an inert phase of the metal that cannot be mobilized, it is the other four forms of heavy metal that cause the noticeable changes in the concentration of heavy metals in the mud. On the basis of the speciation of heavy metals, the mobility of metals have the following order: Pb (36.63%) > Cu (31.11%) > Zn (20.49%) > Ni (18.37%) > Cd (13.46%). The measured metal mobility fits reasonably well with the degree of concentration reduction of the metals with time of burial observed in the reclamation site.     

Heavy metals pollution and the identification of their sources in soil over Xiaoqinling gold-mining region,Shaanxi, China

In order to determine the characteristics of heavy metals’ pollution and identify their sources in the soil over the Xiaoqinling gold-mining region, Shaanxi, China, 133 soil samples were collected over the region, one sample was from a close point as background, and concentrations of Hg, Pb, Cu, and As in all samples were analyzed. Results indicated that the soil was polluted by these heavy metals, as their concentrations in the soil over the studied region were higher than that in the background zone. In addition, the result indicated that these metals had their specific spatial characteristics. Among the samples, those with higher concentrations of Hg, Pb, and Cu were mainly collected from the Shuangqiao river alluvial terrace area, the loess ravine tableland, and the piedmont alluvial–pluvial inclined tableland, which are the areas of gold-mining activities. Meanwhile, the samples with higher concentrations of As were distributed over the loess ravine tableland around Tongguan County, where agricultural activities were conducted intensively. Furthermore, the sources for all the heavy metals Hg, Pb, Cu, and As in the soil over each landscape were determined through analyzing the concentration correlation of these metals and comparing the maps of metal concentration distribution and land-use types. In Yellow river–Weihe river alluvial plain area, these heavy metals were mainly from agricultural activities. In the other landscapes, As was also mainly from agricultural activities; the other metals were contrarily from the gold-related activities. Interestingly, the correlation coefficients of As concentrations with Hg, Pb or Cu concentrations were positive in the samples from Yellow river–Weihe river alluvial plain area, and on the contrary, they were negative in the samples from the other landscapes. This result showed that the correlation can be used as an index to indicate properly the effect of the gold-related or agricultural activities on the heavy metals in the soil and identify their main sources over each landscape. As human activities resulted in the site-specific characteristics in the concentrations and sources of the heavy metals in each landscape, site-specific control strategies should be selected intensively to remedy landscape soil pollution. In Yellow river–Weihe river plain area, effective control strategies should be aimed at remedying As pollution caused by agricultural activities; in the other landscapes, Hg, Pb and Cu pollution caused by gold-mining activities should be considered.     

Multivariate statistical approach to identify heavy metal sources in agricultural soil around an abandoned Pb–Zn mine in Guangxi Zhuang Autonomous Region, China

A study of agricultural lands around an abandoned Pb–Zn mine in a karst region was undertaken to (1) assess the distribution of heavy metals in the agricultural environment, in both dry land and paddy field; (2) discriminate between natural and anthropogenic contributions; and (3) identify possible sources of any pollution discovered. Ninety-two samples of cultivated soils were collected around the mine and analyzed for eight heavy metals, pH, fluoride (F^?), cation exchange capacity, organic matter, and grain size. The eight heavy metals included Cd, Cr, Cu, Ni, Pb, Zn, As, and Hg. The average concentrations (mg/kg) obtained were as follows: Cd 16.76 ± 24.49, Cr 151.5 ± 18.24, Cu 54.28 ± 18.99, Ni 57.5 ± 14.43, Pb 2,576.2 ± 1,096, Zn 548.7 ± 4,112, As 29.1 ± 6.36, and Hg 1.586 ± 1.46. In a site where no impact from mining activities was detected, the mean and median of Cd, Cu, Ni, Pb, Zn, As, and Hg concentrations in investigated topsoils were higher than the mean and median of heavy metal concentrations in reference soils. An ensemble of basic and multivariate statistical analyses was performed to reduce the multidimensional space of variables and samples. Two main sets of heavy metals were revealed as indicators of natural and anthropogenic influences. The results of principal component analysis (PCA) and categorical PCA demonstrated that Cd, Cu, Pb, Zn, and Hg are indicators of anthropogenic pollution, whereas Cr, As and Ni concentrations are mainly associated with natural sources in the environment. The contamination from Pb–Zn mining operations, coupled with the special karst environment, was a key contributing factor to the spatial distribution of the eight heavy metals in the surrounding soil. The values of heavy metals in the soil samples suggested the necessity of conducting a rigorous assessment of the health and environmental risks posed by these residues and taking suitable remedial action as necessary.     

Multivariate statistics and hydrogeochemical modeling for source identification of major elements and heavy metals in the groundwater of Qareh-Ziaeddin plain,NW Iran

The present study aims to evaluate the possible source of major and some minor elements and heavy metals in the groundwater of Qareh-Ziaeddin plain, NW Iran with respect to chemical elements, saturation index, and multivariate statistics including correlation coefficient, cluster analysis, and factor analysis. Groundwater samples were collected in Jun 2016 and measured with respect to EC, pH, major and some minor elements and heavy metals including Fe, Mn, Zn, Cr, Pb, Cd, Al, and As. Among all the measured parameters, some of the samples exceed the World Health Organization (WHO) guideline value for EC, Na, Mg, HCO₃, SO₄, Cl, NO₃, F, As, Zn, and Pb. The results of correlation analysis show that weathering and dissolution of minerals especially evaporites and silicates, water-rock interaction, and cation exchange are dominant occurred processes in the groundwater of the study area. Also, denitrification process is occurred in the groundwater system. Cluster analysis categorizes the samples into three distinct groups which are different based on their EC and dependent variables, e.g., Na, Ca, Cl, SO₄ and pH, Pb, Cd, and As. It can be found that volcanic, evaporite, and clay formations have the least impact on the chemistry of the cluster 1 samples while clay and evaporite formations have the highest impact on the cluster 3 and also calcareous formations on cluster 2. Factor analysis shows that five factors, with total variance of 83%, are effective in the release of heavy metals and groundwater chemistry which are mostly geogenic.     

近50年来抚仙湖重金属污染的沉积记录*

文章以抚仙湖污染严重的北部和基本未受人类活动影响的中部为研究对象,分别采集了沉积岩芯FB和FZ,通过对岩芯的¹³⁷ Cs测年和重金属元素(Cu,Ni,Ti,Cr,V,Pb,Cd和Zn)的含量分析,研究了湖泊重金属来源和污染历史,并利用地质累积指数法评价了湖泊重金属污染程度。结果表明:抚仙湖北部的平均沉积速率约为2.0~2.8mm/a;20世纪80年代以前,湖泊北部和中部的重金属元素(Cu,Ni,Ti,V,Pb,Cd,Zn)以自然来源为主;80年代以后,抚仙湖受到人类活动的影响,但湖泊中部Cu,Ni,Ti,V,Pb,Zn以及湖泊北部Cu,Ni,Ti,V仍以自然来源为主;湖泊北部Pb和Zn地质累积指数值小于1,属无污染到中度污染;北部Cd地质累积指数为3~4,达强度污染;中部Cd地质累积指数为2~3,属中强度污染;且Pb,Zn和Cd污染程度有加速增大的趋势。     

Geochemical mobilization of some heavy metals in water resources and their impact on human health in Sohag Governorate,Egypt

Geochemical mobilization of heavy metals in water has been cited as an important factor in many diseases of Sohag Governorate, Egypt. Forty-two groundwater samples were collected from the Quaternary aquifer and eight samples from surface water of Sohag governorate. The results recorded high contamination with cadmium and lead. Besides, about 50 % of samples are contaminated with iron and manganese at an alert level. All the metals under study exhibited an asymmetric statistical distribution in the investigated area. The study identified positive relationship between contaminated water (surface and groundwater) of Sohag with Cd (r _s?=?0.43) as well as Pb (r _s?=?0.21) and renal failure rate (R.F.R.?=?26 patients/10⁵ capita). The spatial distribution of these two metals (Cd and Pb) showed that they accumulated in the southern part of Sohag Governorate around Albalina District and in the northwestern part at Gehina District, which have the highest R.F.R. This study highlighted the need for more detailed research to assess the different pollutants and their relation to chronic diseases.     

淮南塌陷塘重金属空间分布特征研究

长期地下煤炭开采在地表产生了大面积的塌陷塘,并造成了不同程度的水域污染。为研究塌陷塘重金属的分布特征及成因,选择了8种对环境影响较大的重金属元素（Fe,Mn,Zn,Cu,Cr,Cd,Pb,Ni）为研究对象,以淮南潘集一矿塌陷塘为研究区域,利用ArcGIS地统计模块中的协同克里格算法,通过水体实测光谱反射率作为协变量来估算水体中的重金属含量空间分布特征。结果表明:水体实测光谱与重金属含量有较好的关系,以水体光谱为协变量的协同克里格插值与单变量的普通克里格插值相比,8种重金属元素的预测值与实际值之间的均方根误差明显减少,证明水体实测光谱适合作为协变量来估计水体重金属的空间分布情况。综合分析发现,水体中的Cd,Pb,Cu,Ni主要来自水域西北部的煤矸石堆山,且Cd,Cu,Pb含量均超过了当地的背景值,对环境影响较大;Cr主要来自农业肥料、成土母质和周边道路旁的煤泥灰厂及煤矸石堆;Zn的来源主要是煤矸石、上游生活污水、农业肥料、土壤母质,由于其含量较低,对水环境质量的影响不大。      

山东省东部地区农业生态地球化学调查与评价

介绍了山东省东部地区农业生态地球化学调查与评价工作取得的一些基本成果以及该区存在的生态地球化学问题。调查与评价结果显示,Zn,Pb,Cu,Se,Cd,S,P,Hg,N,OrgC等元素或指标在表生作用或人类活动等因素影响下,使表层土壤含量明显大于深层;总体上该区地球化学环境质量优良,Ⅲ类和劣Ⅲ类土壤仅占全区总面积的0.13%,主要分布在矿集区和城镇周边,主要污染元素为Cd,Cr,Ni,Hg。浅层地下水大部分元素或指标处于自然低背景含量状态,部分水样总硬度超标,溶解性总固体、NO2-和F-等超标,已不适合饮用。该区存在的生态地球化学问题有：①山地丘陵区土壤pH值低,且表层土壤具有向强酸、强碱两极化发展的趋势,易引起重金属元素活化,危害人类健康;②沿海地带土地贫瘠,N,P和有机质等营养水平多属缺乏级;③莱州-烟台和牟平-乳山矿集区以及人口密集的城镇地带表层土壤Hg,Cd,Pb,Zn,Se,S等元素污染严重。地质高背景、酸性的表生环境和工业污染的共同作用,是造成环境中重金属元素含量较高的主要原因。     

典型岩溶区地下水系统重金属元素分布特征浅析——以广西坡月地下河为例

地下河为岩溶地下水系统的重要组成部分,为查清典型岩溶区地下水系统中重金属指标的含量变化及空间分布特征,文章以广西坡月地下河系统为例,通过不同断面两次采样分析,重点剖析地下河系统在水文地球化学作用下,地下水中以“五毒”元素及Zn、Al和Mn为代表的重金属元素含量。分析结果表明:坡月地下河水体pH值在7.34～8.10 之间,水体中“五毒”元素、Zn、 Al和Mn的检出含量极低或未检出,质量浓度均远小于国家地下水环境质量标准中的Ⅲ类水质标准,适合各种用途。检出含量较高的点主要为地下河明流段或补给区地表水,含量最高分布在坡心地下河出口水体,其原因是坡心地下河系统区内工矿企业和其它经济活动干扰相对较强,特别是工矿企业的矿石和尾矿渣的露天堆放（如金矿）是引起地下水中重金属元素的检出或超标的重要因素。      

Groundwater hydrochemistry and soil pollution in a catchment affected by an abandoned lead–zinc mine: functioning of a diffuse pollution source

The importance of polluted alluvial soils as a potential diffuse source of heavy metals was investigated in a catchment of the Matylda stream affected by an abandoned lead and zinc ore mine in Upper Silesia, southern Poland. This was attempted by means of standard groundwater analyses performed together with measurements of Cd, Pb, Zn, Fe and Mn concentrations in soil and groundwater. The Matylda stream, receiving mine water, was converted in the 20th century into a straight channel directed in its middle reach over the valley bottom. This changed the drainage direction of the Matylda stream water. During mining operations, groundwater seepage, combined with surface drainage by shallow ditches caused pollution of sandy soils exceeding over 100 mg/kg of Cd, 24% of Zn and 4% of Pb at surface or subsurface soil horizons, and reaching at least 60 cm in depth. After mine closure in the 1970s, the network of ditches appears to be a source of Ca, Mg, chlorides, carbonates and nitrates, as indicated by the more or less regular increase of these major ion concentrations in groundwater down ditches. Whereas, the ditches are a sink rather than a source of zinc, cadmium and lead in permanently dry reaches, or transition zones in reaches with surface water flowing periodically. The metal concentrations and distribution in soil and groundwater suggest the slow mobilization of heavy metals stored in the valley bottom and the minor importance of soil as a diffuse source for surface water pollution.     

Using Multivariate Statistical and Geostatistical Methods to Identify Spatial Variability of Trace Elements in Agricultural Soils in Dongguan City,Guangdong,China

Dongguan (东莞) City, located in the Pearl River Delta, South China, is famous for its rapid industrialization in the past 30 years. A total of 90 topsoil samples have been collected from agricultural fields, including vegetable and orchard soils in the city, and eight heavy metals (As, Cu, Cd,Cr, Hg, Ni, Pb, and Zn) and other items (pH values and organic matter) have been analyzed, to evaluate the influence of anthropie activities on the environmental quality of agricultural soils and to identify the spatial distribution of trace elements and possible sources of trace elements. The elements Hg, Pb, and Cd have accumulated remarkably here, incomparison with the soil background content of elements in Guangdong (广东) Province. Pollution is more serious in the western plain and the central region, which are heavily distributed with industries and rivers. Multivariate and geostatistical methods have been applied to differentiate the influences of natural processes and human activities on the pollution of heavy metals in topsoils in the study area. The results of cluster analysis (CA) and factor analysis (FA) show that Ni, Cr, Cu, Zn, and As are grouped in factor F1,Pb in F2, and Cd and Hg in F3, respectively. The spatial pattern of the three factors may be well demonstrated by geostatistical analysis. It is shown that the first factor could be considered as a natural source controlled by parent rocks. The second factor could be referred to as "industrial and traffic pollution sources". The source of the third factor is mainly controlled by long-term anthropic activities ,ad a consequence of agricultural fossil fuel consumption and atmospheric deposition.     

Anthropogenic influences on toxic metals in water and sediment samples collected from industrially polluted Cuddalore coast,Southeast coast of India

The present study was carried out to investigate the impact of anthropogenic influences on Cuddalore coast, Southeast coast of India, with regard to physicochemical parameters and heavy metal concentration in the surface water and sediment samples of the study area. The samples were collected in different seasons of the year (January–December 2010) and analysed for physicochemical parameters (Temperature, pH, salinity, nitrate, nitrite, ammonia, phosphate and silicate) and heavy metals (Cd, Cu, Pb and Zn) using standard methods. Results showed that physicochemical characteristics and heavy metals concentration in the samples of the study area were varied seasonally and spatially. The concentrations of heavy metals in water and sediment samples of the study area were higher in the monsoon season compared with those of other seasons. The heavy metal concentration in collected samples was found to be above WHO standards. The order of heavy metals in water and sediment samples was Pb > Cu > Cd > Zn. The heavy metal data were analysed through widely using multivariate statistical methods including principle component analysis (PCA) and cluster analysis (CA). CA classified the sampling sites into three clusters based on contamination sources and season. The PCA revealed that the season has a huge impact on the levels, types and distribution of metals found in water and sediment samples. The study also shows the main basis of heavy metals pollution at Cuddalore coast is land based anthropogenic inputs as a result of discharging of waste from industries, municipal, agricultural activities and sewage into estuarine regions, which carries the wastes into coastal area during tidal action. Statistical analyses and experimental data revealed that the Cuddalore coast may cause health risk to the recreational users and fisher folk, ultimately warrants environmental quality management to control heavy metal contamination.     

Competitive adsorption,release and speciation of heavy metals in the Yellow River sediments,China

The competitive adsorption and the release of selected heavy metals and their speciation distribution before and after adsorption in the Yellow River sediments are discussed. The adsorption of metals onto sediments increases with increasing pH value and decreases with increasing ionic strength. The competitive coefficient K _c and the distribution coefficient K _d are obtained to analyze the competitive abilities of selected heavy metals, which are ranked as Pb > Cu >> Zn > Cd. The competition among selected heavy metals becomes more impetuous with increasing ion concentration in water. Speciation analysis was done by an improved analytical procedure involving five steps of sequential extraction. Cu, Pb and Zn were mainly transformed into the carbonate-bound form (50.8–87.7%) in adsorption. Most of (60.7–77.3%) Cd was transformed into the exchangeable form, and the percentage of carbonate-bound Cd was 19.7–30.4%. The release reaction was so quick that the release capacity of selected heavy metals from sediments to aqueous solution reached half of the maximum value only in 30 s. As opposed to adsorption, the release capacities of selected heavy metals were ranked as Cd > Zn >> Cu > Pb. In this study, Cd produces the most severe environmental hazards, because its concentration in the release solution is 85.8 times more than the human health criteria of US EPA.     

矿业活动区农田土壤重金属累积风险的评判方法--以小秦岭金矿区为例

金属矿产资源开发活动通常会导致矿区土壤重金属含量的累积,选用科学的评价标准及方法成为评判、区分矿业活动农田土壤重金属累积影响和风险的关键问题。在简述土壤背景值和土壤环境质量标准含义的基础上,提出采用与矿区其他环境条件基本相同或相近的邻区耕作层土壤重金属元素的平均含量作为评判矿业活动重金属对耕作层土壤的累积影响的对照值。以2011年小秦岭金矿区80件耕作层土壤重金属含量为例,金矿开发活动区耕作层土壤重金属的累积风险研究表明,土壤重金属低风险以上样品数占总样品数百分比的排序为Hg＞Cd＞Pb＞Cu,矿业活动对土壤重金属累积的贡献率排序为Hg＞Cu＞Pb＞Cd＞Zn。土壤中的Cr、As、Zn元素有轻度累积但无风险。土壤中Hg元素的累积风险面积达到了187.77km＾2,占到研究区总面积的47.08%。其中,中、高风险的面积为99.55km＾2,土壤重金属累积风险极其严重。研究结果科学地评判了矿业活动对耕作层土壤重金属的累积影响及其贡献,为土壤污染防治指明了方向。