贵阳市城郊两处菜地土壤垂直剖面重金属迁移规律及来源解析

以贵阳市某城郊菜地0—100 cm垂直剖面土壤为实验对象, 分析剖面土壤中8种重金属元素垂向分布迁移规律, 并采用主成分分析(PCA)、正定因子分解模型(PMF)和Pb同位素示踪技术对重金属污染来源进行解析。结果表明, 剖面土壤大部分深度的重金属含量超出背景值; Ni、Cu、Pb、Cd和Hg均存在不同程度的富集, As在整个剖面表现为丢失, Cr和Zn变化较小; 淋洗迁移特征表明, Pb和Cd淋洗迁移现象较为活跃, 富集因子分析表明仅Hg含量受人为源输入相对较多, 其他重金属受人为污染程度较弱; PCA、PMF和Pb同位素示踪研究表明, 剖面土壤重金属主要为自然来源, 其次为农业污染和燃煤消耗等人类活动。三种源解析方法结果吻合, 能够构成互补的多元源解析体系。     

东苕溪沉积物重金属生态风险评价和源解析

由于重金属毒性大, 且易在食物链中富集, 沉积物中的重金属会对水体生态环境造成严重污染, 因此对东苕溪23个采样点表层沉积物中主要的重金属As、Cd、Co、Cr、Cu、Pb、Zn、Mn和Ni含量及分布特征进行研究, 分析各种重金属来源, 并对重金属污染状况进行生态风险评价。结果表明: 东苕溪沉积物重金属平均浓度Mn>Pb> Zn> Cr> As> Cu> Ni> Co> Cd, As、Cd、Co、Cu、Pb、Zn和Mn的平均浓度均高于它们的环境背景值。多元统计分析结果表明沉积物中Cd、Co、Cr、Mn和Ni可能来源于自然环境, Cu、Pb 和Zn可能来源于生活污水和工业废水的排放, Pb还源于交通工具尾气和柴油机械排放的废弃物, As主要来源于农业活动, 例如化肥和农药的使用。地积累指数法和潜在生态危害评价法的结果表明, 东苕溪沉积物中的重金属整体上呈现中等的潜在生态危害, 东苕溪沉积物中的主要污染物为As和Cd, 由于东苕溪流域散布着大量的农田和一些工业园区, 农田中使用的肥料农药和工业活动中排放的废弃物是造成As和Cd含量高的原因。     

典型城市单元的土壤重金属溯源方法与实证研究

随着城市化进程的不断深入,土壤中重金属污染现状及其治理情况越来越受到重视,而查明污染源是有效治理污染的前提。源解析技术目前已广泛的应用于环境受体重金属来源解析实践中,总结了近年来土壤重金属成因分析的常用方法及原理,并提出了一种将多种方法相配合使用的方法体系。选取珠三角某市城郊农田作为研究对象,结果表明,Cd、Pb、Cu、Zn、As存在含量超过国家农用地筛选值的情况,其中Cd超标率高达60.1%。农业活动、工业生产、交通源和自然母质均对研究区土壤重金属的累积产生一定的贡献。正定矩阵因子分析法(PMF,Positive Matrix Factorization)模型模拟的Cd、Ni、Zn和Hg预测值与实测值线性拟合r~2均大于90%,其余元素r~2均大于60%,呈现出很好的相关性,满足研究需要。PMF模型和铅同位素比值法计算得到的交通及农业对土壤Pb累积的贡献率之和分别为86.0%和84.8%,PMF模型和物质流分析法计算得到的农业对土壤Cd的贡献率分别为86.7%和79.7%,结果均比较接近。结果表明正定矩阵因子法、同位素比值分析法,物质流分析法能很好的联用应用于土壤重金属源解析研究。     

硫稳定同位素技术在生态学研究中的应用

随着人为SO₂释放的增加, 硫稳定同位素的动态已成为生物地球化学循环过程中研究的热点。该文对天然硫稳定同位素在大气自然过程中的硫来源分析及其在森林生态系统、农田生态系统和水域生态系统中的硫动态研究, 人为添加的硫稳定同位素在生态环境中的应用及硫稳定同位素技术在我国酸雨研究中的潜在贡献等进行了综述, 并从硫稳定同位素技术应用研究的范围、分析手段及源解析模型方面介绍了可能的发展方向。     

南四湖典型入湖河流沉积物重金属污染特征与风险评价研究

以南四湖两条典型入湖河流为研究对象,分别对湖东的泗河及湖西的东鱼河沉积物中9种重金属(Cr、Ni、Zn、Cu、Pb、Hg、Cd、As、Mn)含量进行分析,最后采用多种方法解析重金属的来源并对其污染特征和生态风险进行评价。结果表明,两条河流沉积物中重金属均存在一定程度的富集,尤其是Hg、Zn、Cd富集最严重。泗河沉积物中大部分重金属在中游兖州段含量升高,尤其是Hg、Cd含量分别是山东省水系背景值的3.1、3.7倍,分析表明重金属主要来源为周边区域煤矿及其伴生产业产生的“工业三废”,同时说明了重金属高值区与煤矿分布密切相关。东鱼河沉积物中Hg、Cd含量在中游较高,其余重金属含量在上、下游较高,分析结果表明中游Hg、Cd含量较高主要与当地农业活动中农药及化肥的施用有关,上、下游重金属含量较高原因为引黄河水或南四湖水灌溉。     

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。     

惠州市3座供水水库沉积物重金属污染特征

为了解惠州市供水水库沉积物重金属(Cr、Cu、Zn、Cd、Pb和Hg)污染状况和垂直分布特征,于2008年5月在惠州市3座具代表性的水库湖泊区采集柱状沉积物样品,运用ICPMS法检测沉积物中重金属含量,并采用地积累指数法(Igen)和潜在生态风险指数法(RI)进行污染评价,同时运用主成分分析(PCA)对沉积物中重金属的可能来源进行分析.结果表明:3座水库沉积物重金属含量随沉积深度的变化差异明显,一些重金属含量的垂直变化不明显,而另一些垂直变化明显(降低或升高),但各种重金属在不同水库沉积物中呈现特有的垂直分布特征.根据地积累指数可知,3座水库中沉积物主要以Zn和Pb污染最为严重,达到轻度至强度污染(含量分别为Zn:49.98 ～ 640.29 mg·kg-1;Pb:21.94～300.66 mg· kg-1),同时沉积物中部或底部受到轻度的Cu污染(含量为16.85 ～45.46 mg·kg-1),基本未受Cr、Cd和Hg污染.据6种重金属潜在生态风险系数[Er(i)]及潜在生态风险指数(RI)可知,3座水库沉积物的重金属潜在风险均处于较低水平.据PCA分析和相关资料可知,矿山开采与冶炼、城市化和农林业快速发展等人类活动影响了3座水库沉积物重金属的分布特征和污染.其中,Zn主要来源于矿产开采与冶炼;除矿产开采与冶炼导致沙田水库Pb污染外,机动车尾气排放和生活垃圾等是3座水库沉积物Pb污染的主要途径;Cu污染主要来源于农业和林业污染.     

珠江口桂山岛表层沉积物中重金属的分布特征及潜在生态危害评价

于2011年8月采集了珠江口桂山岛海域12个站点的表层沉积物, 对沉积物中重金属的含量进行了测定。结果表明, 桂山岛沉积物中重金属含量与国内外港湾相比属于中等水平, Pb、Cr、Ni、Cu、Zn、Mn平均含量分别为40.06、31.29、14.17、30.67、100.18、599.76 mg/kg。富集系数法和 Hakanson潜在生态风险指数法评价表明:桂山岛沉积物各重金属元素的富集顺序为Cu﹥Pb﹥Zn﹥Mn﹥Cr﹥Ni, 其中Cu、Pb、Zn和Mn富集系数大于1;该海域重金属潜在生态风险总体上处于低水平, 从空间上看, S11危害最为严重。进一步通过主成分分析研究沉积物中重金属的来源, 发现前2个主成分贡献率分别为44.38%、42.61%, 表明重金属主要有2个来源:工业和生活污水排放、岩石的自然风化与侵蚀过程。     

青海湖表层沉积物重金属富集特征及其来源

针对青海湖表层沉积物重金属分布特征,测定了湖区11个采样点99个样本表层(0～20 cm)沉积物中重金属Zn、Cu、Pb、Ni、Cr和Fe的含量,采用地累积指数和潜在生态危害指数评价重金属富集状况,并运用相关分析和因子分析对重金属来源进行了初步探讨.结果表明,旅游区采样点151码头(1#)和江西沟码头(4#)的Zn和Cu元素及布哈河(5#)Cr为轻度污染,其他样点未受重金属污染,所有样点潜在生态危害均为轻微程度,以旅游区码头的潜在生态危害综合评价最高;沉积物中Cr、Fe和TOC存在显著相关性,且在因子1(内源因子)中占绝对负荷,其来源主要与沉积母质有关.此外,入湖河流也带入一定量的Cr元素;Pb和Zn与其他元素相关性较差,分别反映因子2(农业生产活动因子)和因子3(旅游交通排放因子)的迁移转化规律,其来源与人类活动有关;表层沉积物中Cu的积累与内源因子、农业和旅游排放因子均有关;Ni的分布特征主要受内源因子和旅游交通排放因子的影响.本研究表明,青海湖表层沉积物重金属污染及潜在生态危害较轻,其来源除内源因子外,还与湖区农业活动及旅游交通排放等人为因素有关.     

大亚湾及邻近海域重金属污染的研究进展

综述了大亚湾及其邻近海域的海水、沉积物以及生物体中重金属的浓度水平、赋存形态、时空分布以及潜在生态风险等的研究进展。现有的研究表明, 大亚湾海域海水中重金属污染程度较轻, 但部分海域的Cu、Pb、Zn 有超标现象; 沉积物中重金属主要为残渣态, 污染程度较轻, 重金属含量呈增加的趋势, 尤其是Hg、Cd 的潜在危害较高;海产品中重金属浓度水平较低, 但底栖生物中Cd 含量水平存在一定的生态风险。综合现有研究资料, 大亚湾海域有机重金属化合物的污染状况研究, 同位素示踪技术分析重金属来源以及膜扩散梯度技术等在大亚湾重金属污染调查中的应用等方面仍需要进一步开展。     

A geographic information system (GIS) analysis for trace metal assessment of sediments in the Gulf of Paria, Trinidad

The Gulf of Paria is a semi-enclosed shallow basin with increasing coastal development activities along Trinidad's west coast. Sediments present a host for trace metal pollutants from overlying waters, therefore determination of their content is critical in evaluating and detecting sources of marine pollution. This paper presents a Geographic Information System (GIS) analysis of geochemical assessment for trace metals in coastal sediments of the Gulf of Paria. This GIS approach facilitates interpretation of the spatial relationships among key environmental processes. The GIS development involves the integration of spatial and attribute data pertaining to bathymetry, current systems, topography, rivers, land use/land cover and coastal sediments. It employs spatial interpolation and retrieval operations to analyze the total trace metal concentrations of aluminum, copper and lead in the sediments and the clay-enriched sediments, to determine whether they are related to sediment type or are affected by the discharge from anthropogenic sources. Spatial distribution modeling of element concentrations are produced to indicate contamination plumes from possible anthropogenic sources such as rivers entering the Gulf of Paria, and to reveal potential hot spots and dispersion patterns. A direct spatial correlation between clay-enriched sediments and high concentrations of aluminum and lead is detected, however regions of high concentrations of copper and lead indicate a relationship to anthropogenic sources. The effectiveness of GIS for visualization, spatial query and overlay of geochemical analysis is demonstrated.     

Metal Pollution Assessment in Sediments of the Southeastern Black Sea Coast of Turkey

The main objective of this investigation is to determine the concentration and accumulation of heavy metals in the coastal sediments of the Southeastern Black Sea of Turkey. The selected sampling area has mainly been affected by anthropogenic activities, such as agricultural, untreated domestic and treated industrial wastewater, and mining. Metal enrichment factor (EF), geo-accumulation index (I_geo), and metal pollution index (MPI) have been calculated and relative contamination levels evaluated at all stations. In this study, the maximum EF values calculated for nickel (Ni), cobalt (Co), cadmium (Cd), lead (Pb), chromium (Cr), arsenic (As), zinc (Zn), and copper (Cu) were 1.4, 3.1, 5.2, 7.8, 7.8, 20, 26, and 42, respectively. Metal pollution has decreased in recent years, but the enrichment of heavy metals has been observed to be relatively high, especially in the uppermost 3-6 cm of the core sample from the Sürmene sampling station, which has been polluted by mining activities. In addition, factor analysis revealed that the coastal sediments from the Eastern Black Sea were influenced by several sources, namely lithogenic and anthropogenic activities (mining, wastewater discharging, agriculture).     

Assessment of Trace Metals Contamination in the Suspended Matter and Sediments of a Semi-enclosed Mediterranean Gulf

This study investigates the distribution of heavy metals in the suspended particulate matter and the sediments of Kavala Gulf, located in Northern Greece. Particulate trace metals were determined in accordance to water column physicochemical parameters. Metals in sediments were related to the textural characteristics, the organic matter, and carbonate contents of surficial sediments. Results illustrated that the diverse human coastal activities influence the distribution of particulate and sediment metal concentrations, since lower trace metal levels were detected along the western (tourism) and eastern (aquaculture) coast, while increased values were observed at the central (urban and industrial). Overall, particulate metals show moderately low levels compared to other similar sites, with the exception of Ni and Cd depicting local peaks along the industrial coastal zone. Significantly increased levels for particulate lead (123.1 μg/g) and chromium (113.9 μg/g) were detected at the sites near the industrial zone. Direct effluents from a fertilizer plant appeared responsible for the increased Pb, Cr, and Cd levels, while the increased values in Zn, Cu, and Hg appear related to phosphogypsum leaching. Sediment contamination assessment indicated that the Kavala Gulf is characterized by clean to marginally polluted sediments, with moderately severe pollution levels along the urban coastline.     

Distribution and risk assessment of heavy metals in river surface sediments of middle reach of Xijiang River basin,China

Xijiang River is the main surface water source in Guangxi province, South China. This study was carried out to investigate the distribution and potential ecological risks of seven heavy metals (Cu, Pb, Zn, As, Cd, Ni, and Cr) in surface sediments in Xijiang River basin. The results illustrated that the average concentrations of Zn, Pb, Cd, Cu, As, Ni, and Cr were 483.9, 207.5, 13.35, 23.50, 312.1, 28.75, and 50.62 mg/kg, respectively. Among them, Zn, Pb, Cd, and As were the major heave metals with concentration exceeding Class 3 threshold value of Chinese national standard. The result also showed samples with high ecological risk were mainly located in the upstream of Xijiang River basin as Diaojiang River, Hongshui River, Jincheng River, and Dahuan River. Based on the pollution risk assessment, the area manifested composite pollution of heavy metals in the sediments, signifying As, Pb, and Cd as the dominant heavy metals, and there were high ecological risk in sediments for these metals. According to correlation matrix and factor analysis (FA), the seven heavy metals were divided into three types/classes, Cd, as and Zn attributed by anthropogenic sources, natural sources corresponds for Ni and Cr while both natural and anthropogenic sources were attributed to Cu.     

Health risk assessment of a reservoir-type water source in the northeastern region of China

Urban water sources are the major source of water resources for urban life, and its water quality affects the daily life and health of the local people. However, there were some reports on the poor water quality status of water sources in the past. In the present study, by applying fuzzy synthetic evaluation, the water quality was studied from a total of 24 water samples from a reservoir-type water source in the northeastern region of China. Health risks of eight trace elements in source water were assessed using health risk assessment model and Monte Carlo simulation, and source apportionment of eight trace elements in source water were also analyzed. The results indicated that the water quality of the source water was acceptable for category I surface water, while the concentrations of total phosphorus (TP) and manganese (Mn) were higher than the permissible level. The noncarcinogenic risks due to eight trace elements exposure were As > Mn > Pb > Cd ≈ Cr > Se > Zn > Cu and carcinogenic risk of Arsenic (As) was 3E?05 with a maximum probability. Furthermore, statistical analyses, such as correlation analysis, principal component analysis (PCA) and cluster analysis (CA) showed that the trace metals in the water source have a certain degree of anthropogenic contributions, especially Mn. Overall, both the contents of TP and Mn and the health risk of As require some attention of the relevant department, and further protected measures should be taken in the source water.     

Trace Elements and Heavy Metals in Hair of Stage III Breast Cancer Patients

This prospective study was designed to compare the hair levels of 36 elements in 52 patients with stage III breast cancer to those of an equal number of healthy individuals. Principal component and cluster analysis were used for source of identification and apportionment of heavy metals and trace elements in these two groups. A higher average level of iron was found in samples from patients while controls had higher levels of calcium. Both patients and controls had elevated levels of tin, magnesium, zinc, and sodium. Almost all element values in cancer patients showed higher dispersion and asymmetry than in healthy controls. Between the two groups, there were statistically significant differences in the concentrations of silver, arsenic, gold, boron, barium, beryllium, calcium, cadmium, cerium, cobalt, cesium, gadolinium, manganese, nickel, lead, antimony, scandium, selenium, and zinc (p?相似文献   

Differentiating Natural and Anthropogenic Sources of Metals to the Environment

Since natural and anthropogenic sources can contribute to elevated levels of metals at remote and background sites, identifying the source of a metal is an important step in environmental risk assessment. Various source apportionment procedures are available to identify metal sources, and have been used extensively to determine sources in urban settings and to a lesser extent at remote sites. However, measuring metals at remote or background sites presents unique challenges with respect to experimental design. The state of the science in monitoring techniques and source apportionment procedures is discussed in terms of limitations and applicability to remote sites, and recommendations are made on maximizing information recovery through source apportionment procedures by incorporating appropriate experimental design.     

Impact of bioavailable heavy metals on bacterial activities in coastal marine sediments

Total heavy metal concentrations in marine sediments are not sufficient to reliably predict detrimental biological effects. Here we provide evidence that only bioavailable heavy metals have a significant impact on benthic microbial loop functioning. Sediment samples collected along 250 km of the Apulian coast (Mediterranean Sea) were analysed for total and bioavailable heavy metals (Cr, Cd, Pb and Cu), organic matter content, bacterial abundance, biomass and carbon production and -glucosidase activity. Sampling strategy was specifically designed to cover a wide range of environmental conditions and types of anthropogenic influences. Total heavy metal concentrations in the sediments were tightly coupled with organic matter content, whereas bioavailable heavy metal concentrations displayed an opposite pattern. Bioavailable Cr concentrations were up to 10-fold higher than values observed for the other bioavailable metals and significantly inhibited benthic bacterial metabolism and turnover. Results from this study suggest that functional microbial variables are highly sensitive to heavy metal contamination and could be used as bioindicators of stress conditions in coastal sediments.     

Source apportionment of pollution in groundwater source area using factor analysis and positive matrix factorization methods

By means of factor analysis (FA) and positive matrix factorization (PMF) methods, groundwater pollution sources were identified in the Jinji groundwater source area, which is beside the Yellow River and is the only urban water supply source for the city of Wuzhong in Northwestern China. The sources of groundwater were quantified based on 16 samples of shallow groundwater from the source area. The source apportionment with the PMF model identified three dominant groundwater pollution sources. These were anthropogenic activities of agricultural and industrial pollution with a pollution contribution of 53.0%, water–rock interaction of 24.6%, and evaporation and concentration of 22.4%. The source apportionment with the FA model identified four sources which were evaporation and concentration, with the largest contribution (42.6%), followed by anthropogenic activities (29.2%), mineral dissolution and industrial pollution (22.4%), and natural effects (5.8%). Specific attention should be paid to these natural (fluoride, TH, etc.) and anthropogenic sources (NH₄⁺, NO₂^?, turbidity, total bacterial count, etc.), and pertinent measures should be taken to control local groundwater pollution. The most significant trait of the PMF is its scientific interpretation and physical explanation of the results, depending on non-negative restriction of the pollution source profiles and contributions.