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1.
准确掌握煤矸石中重金属元素的溶出特征与释放规律对评价与防治煤矸石对土壤与地下水环境污染具有重要意义。笔者选取广西合山市里兰矿区的大型煤矸石堆(GD06)为研究对象,通过对煤矸石静态浸泡和动态淋滤的实验研究,揭示煤矸石中8种典型的有害重金属元素As、Cd、Cr、Cu、Mn、Ni、Pb、Zn在不同pH值、不同环境温度、与降水的不同作用方式下的溶出特征与释放规律。结果表明,煤矸石在静态浸泡过程中除未检出Mn外,其他7种重金属元素的溶出浓度随浸泡时间的延长而增加,表现出前期的快速释放和后期的慢速释放规律;而浸泡温度升高后,部分重金属元素如Cr、Cu、Pb在浸泡后期的释放速率呈增加趋势。动态淋滤过程中8种重金属元素表现出间歇性快速释放规律,且溶出浓度大于静态浸泡方式,对环境的影响更显著。pH值和温度是煤矸石静态浸泡重金属元素溶出特征的重要影响因素,重金属元素的溶出浓度随温度升高而增加,随pH值减小表现出不同的溶出特征与释放规律。Zn、Ni、Cd和As在静态浸泡和动态淋滤实验中的释放量和释放率较大,是煤矸石淋滤液中最易污染土壤和地下水的重金属元素。 相似文献
2.
泉州市街道灰尘重金属污染评价 总被引：4，自引：0，他引：4
对泉州市街道灰尘中8种重金属元素Cu,Zn,Pb,Ni,Cr,Cd,Mn,Co的含量水平和分布特征进行分析,并采用地积累指数法对其污染状况进行评价。结果表明,泉州市街道灰尘中上述重金属元素平均含量分别是泉州市土壤背景值的7.12,27.36,12.80,6.94,2.29,28.49,1.64,3.2倍;与国内外城市街道灰尘中重金属平均含量相比,泉州市街道灰尘中上述重金属元素平均含量处于中等—偏高水平;Cr,Cu,Pb在工业区含量明显高于其它功能区,而Cr,Cu,Co,Ni含量在农业区最低。地累积指数评价结果表明,Zn为偏重度污染,Cd为中度污染,Cu,Pb,Ni为偏中度污染,Co为轻度污染,Cr,Mn为无污染。 相似文献
3.
TCLP法评价泉州市大气降尘重金属的生态环境风险 总被引：3，自引：0，他引：3
对泉州市不同功能区大气降尘中的重金属(Cu、Zn、Pb、Cd、Cr、As、Fe、Mn、Co、Ni、V)含量进行了分析测定,采用由美国环保署(USEPA)提出并被广泛推荐采用的TCLP法对泉州市不同功能区大气降尘中的重金属元素(Cu、Zn、Pb、Cd、Cr)的生态环境风险进行评价。以TCLP法提取的泉州市大气降尘重金属Cu、Cd、Zn、Pb、Cr、As、Fe、Mn、Co、Ni和V含量分别在2.592～63.20、0.084～2.978、9.276～3141、0.147～345.0、0.628～9.696、0.019-5.152、5.037-248.9、55.00-1261、0.040-63.56、0.735-37.43和0.020-24.07 mg/kg之间。根据TCLP法测定项目的法定阈值,泉州市大气降尘不同程度地受到Cu、Zn、Pb、Cd、Cr的污染,其中以Pb、Zn污染最为严重,其次为Cu、Cd、Cr。相关性分析结果显示,Fe、Mn、Ni、Cr、V的TCLP法提取量受样品pH值的显著影响;Pb、Cd、Mn、Co、Ni、As提取量除了受金属本身的总量影响外,还受到其它元素总量和TCLP提取量的影响。主成分分析结果表明,交通尾气尘、燃油尘、装饰材料尘、地面土壤尘、工业粉尘、建筑尘和燃煤烟尘等是泉州市大气降尘的主要来源,占总贡献率的86.01%。 相似文献
4.
包头市典型工业区表层土壤中重金属污染状况及其潜在生态风险研究 总被引：3，自引：3，他引：0
为了解包头市典型工业企业对其所在地土壤中重金属含量的影响及污染现状,利用相关性系数对其表层土壤中7种重金属(Cu、Zn、Pb、Cr、Cd、Mn、Ni)来源进行研究,并采用内梅罗综合污染指数法和潜在生态危害指数对其污染状况进行评价。结果表明,7种重金属含量平均值均高于内蒙古土壤背景值,其中Cd、Mn、Ni超标率已达100%,而Cu、Pb、Zn的超标率分别为97%、93%和93%,只有Cr超标率较低(53%),污染程度依次为CdPbCuNiZnMnCr,其中Pb和Cd为重度污染,Cu、Zn、Ni为中度污染,Cr、Mn为轻度污染;Cu、Zn、Cr、Mn、Ni可能同时来自工业生产和交通运输两个源,而Pb和Cd除上述来源外,燃煤烟气的排放有较大贡献。潜在生态危害依次为CdPbCuNiCrZnMn,其中Cd的潜在生态风险最大,应予以高度重视,其他金属的风险均为轻微。 相似文献
5.
内江市双桥乡土壤重金属含量及风险评价 总被引：3，自引：0，他引：3
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。 相似文献
6.
江西省赣县沙地土壤重金属的来源及环境等级评价 总被引：1，自引：0，他引：1
《中国煤炭地质》2018,(11)
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。 相似文献
7.
模拟雨水浸泡生活垃圾重金属浸出特征研究 总被引：1，自引：0，他引：1
采用3种不同酸碱度的模拟雨水对生活垃圾进行浸泡实验,使用ORP测定仪和电感耦合等离子体质谱法（ICP-MS）测定了3种不同浸泡介质浸泡下的6个不同时段的浸出液的pH值和重金属浓度,通过分析、计算,研究了生活垃圾重金属的迁移特征。结果表明,重金属元素的动态浸出整体随pH值下降而升高,但相关性不明显,浸出浓度与时间整体上呈负相关关系;浸出总量效果较好的元素为Fe、Mn、Zn、As,较差的为Pb、Sn、H鼽Cd,其他元素中等;阶段浸出率较高的元素有Ni、Co、Cr、Mn、Cd、Cu,较低的元素有Fe,Sn、zn介于中间水平;累积浸出率和累积浸出强度较高的元素有Cr、Mn、Co、Ni、Zn,较低的元素为Fe,Cu、Cd、Sn居于中间水平。利用非线性函数拟合生活垃圾中重金属随时间浸出的浓度,函数拟合相关系数在0．9以上,可对重金属的浸出浓度和浸出总量进行预测。 相似文献
8.
土壤重金属含量是影响黄芩产量和质量的重要因素。选取承德市中部金沟屯和五道岭两处黄芩种植示范区为研究区，采集表层土壤样品355件，黄芩样品30件，重金属形态样品15件。在分析土壤Mn、Zn、Cu、Cr、Cd、As、Pb、Ni、Hg、V、Co、Sb和土壤有机质含量（SOM）及pH值，黄芩Zn、Cu、Cr、Co、Cd、Pb、Ni、Hg和As含量基础上，采用描述性统计、地累积指数、主成分和RDA分析、重金属生物富集系数、生物活性系数和迁移系数等方法论述了土壤-黄芩系统重金属生物有效性及迁移累积特征。结果表明:金沟屯和五道岭区土壤各重金属累积程度总体属无-中度累积水平。五道岭Cu和Hg累积程度高于金沟屯区，其它元素累积程度低于金沟屯区。五道岭区表层土壤Cr、Cu和Cd含量超标率分别为2.82%、1.69%和1.13%；金沟屯区土壤Cd、Cr和Ni，五道岭区土壤Zn和Hg含量超标率均为0.56%。五道岭区黄芩Cu元素含量高于金沟屯区，Co和Cu元素生物富集强度高于金沟屯区，其它元素含量和生物富集强度则均低于金沟屯区。土壤Cd和Hg元素生物活性系数相对最高，Ni、Zn和Pb元素次之，Cu、Cr和As生物活性系数相对较低。金沟屯区根系土具有较低的pH值和较高的SOM含量，区内黄芩根部As、Cd、Cr、Ni、Zn和Pb元素BCF平均值高于五道岭区，Cu元素富集强度低于五道岭区。土壤重金属生物有效性和黄芩重金属生物富集强度受土壤pH和SOM含量影响，其中Cd和Cu元素受SOM含量影响最为明显。 相似文献
9.
土壤中重金属元素电感耦合等离子体质谱定量分析方法的研究 总被引：7，自引：7，他引：0
分别采用HNO3-HF、HNO3-HF-HCl和HNO3-HF-H2O2三种消解体系,通过微波和PTFE密封罐电热板对土壤标准物质进行前处理,采用电感耦合等离子体质谱(ICP-MS)对样品中的重金属元素Cr、Ni、Cu、Zn、As、Cd和Pb进行定量分析。探讨了前处理试剂(主要为HNO3、HCl和HF)以及土壤基体效应对Cr、Ni、Cu、Zn、As、Cd和Pb定量分析的影响。研究结果表明,前处理试剂对Cr、Ni、Cu、Zn、As、Cd和Pb的定量分析具有不同程度的影响;对于土壤基体,在三种消解体系下均可观察到基体抑制效应;采用PTFE密封罐电热板消解方法前处理,待测元素及相同元素不同同位素的方法空白和检出限均较低,效果整体优于微波消解法。特别是HNO3-HF-HCl消解体系,通过选用52Cr、60Ni、65Cu、66Zn、75As和206Pb等同位素,重金属元素Cr、Ni、Cu、Zn、As、Cd和Pb的测定值均能保证在标准值的允许误差范围内,可以满足大批量土壤样品中重金属元素同时定量分析的需要,为高效准确地开展土壤的风险评估以及为土壤的修复治理提供科学依据。 相似文献
10.
《物探与化探》2017,(2)
分析了银川市教育区、居民区、工业区、混合区及商业区降尘中Cu、Pb、Zn、Cr、Ni、Mn及Cd的含量。运用地质积累指数法与潜在生态危害指数分别评价了重金属元素的污染程度及其生态危害程度。结果表明,城区内Pb明显高于土壤背景;Cr、Ni及Cd在混合区内的含量显著高于背景值;Mn在各功能区的含量与土壤背景相当。地质积累指数评价结果显示,Cu、Zn在整个采样周期内均达到中度污染。Pb、Cd在第三、四采样阶段为中度污染,Ni、Cr在第三采样阶段为轻度污染,Mn在整个采样周期内无实际污染。Cu、Pb、Cr、Zn、Ni及Mn的潜在生态危害指数均为轻微生态危害,而Cd在第三、四采集阶段内的潜在生态危害指数达到强生态危害;混合区的重金属综合潜在生态危害指数达到中等生态危害等级,其他功能区为轻微生态危害。 相似文献
11.
固体聚合膜电解浓集法是浓缩氚含量较低(1 Bq/m~3)的天然水样的常用方法,但因水样自身含有杂质离子或电解装置聚合膜带入杂质进入浓集液,使浓集液偏酸性,在测量过程中易产生化学淬灭效应,导致氚的测量值偏低。本文研究了水样自身存在的杂质离子和聚合膜上残留的杂质离子、样品溶液的pH值及其电导率所产生的化学淬灭效应的影响,实验表明,为减少化学淬灭效应,提高测量低含量氚的准确性,需保证水样溶液呈中性,电导率≤1μS/cm,同时避免杂质沉积在聚合膜上。如果水样溶液的pH值偏酸性、电导率大于1μS/cm,可采用酸碱混合型离子交换树脂去除水样中自身的杂质;对于聚合膜引入的杂质,可在电解后的水样中加入微量氨水将其pH值调节至中性。 相似文献
12.
Tímea Vince György Szabó Zoltán Csoma Gábor Sándor Szilárd Szabó 《Central European Journal of Geosciences》2014,6(3):330-343
In the present study we examined the Ba, Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn contamination levels of the soils of Berehove, a small city in West-Ukraine. As a first step we determined the spatial distribution of the heavy metal contents of the urban soils; then, by studying the land use structure of the city and by statistical analysis we identified the major sources of contamination; we established a matrix of correlations between the heavy metal contents of the soils and the different types of land use; and finally, we drew a conclusion regarding the possible origin(s) of these heavy metals. By means of multivariate statistical analysis we established that of the investigated metals, Ba, Cd, Cu, Pb and Zn accumulated in the city’s soils primarily as a result of anthropogenic activity. In the most polluted urban areas (i.e. in the industrial zones and along the roads and highways with heavy traffic), in the case of several metals (Ba, Cd, Cu, Pb, Zn) we measured concentration levels even two or three times higher than the threshold limit values. Furthermore, Cr, Fe and Ni are primarily of lithogenic origin; therefore, the soil concentrations of these heavy metals depend mainly on the chemical composition of the soil-forming rocks. 相似文献
13.
Assessment of heavy metal pollution in surface water 总被引：4，自引：3，他引：1
D. Kar M.Sc. P. Sur M.Sc. S. K. Mandai M.Sc. T. Saha M.Sc. R. K. Kole M.Sc. 《International Journal of Environmental Science and Technology》2008,5(1):119-124
A total of 96 surface water samples collected from river Ganga in West Bengal during 2004–05 was analyzed for pH, EC, Fe, Mn, Zn, Cu, Cd, Cr, Pb and Ni. The pH was found in the alkaline range (7.21–8.32), while conductance was obtained in the range of 0.225–0.615 mmhos/cm. Fe, Mn, Zn, Ni, Cr and Pb were detected in more than 92% of the samples in the range of 0.025–5.49, 0.025–2.72, 0.012–0.370, 0.012–0.375, 0.001–0.044 and 0.001–0.250 mg/L, respectively, whereas Cd and Cu were detected only in 20 and 36 samples (0.001–0.003 and 0.003–0.032 mg/L). Overall seasonal variation was significant for Fe, Mn, Cd and Cr. The maximum mean concentration of Fe (1.520 mg/L) was observed in summer, Mn (0.423 mg/L) in monsoon but Cd (0.003 mg/L) and Cr (0.020 mg/L) exhibited their maximum during the winter season. Fe, Mn and Cd concentration also varied with the change of sampling locations. The highest mean concentrations (mg/L) of Fe (1.485), Zn (0.085) and Cu (0.006) were observed at Palta, those for Mn (0.420) and Ni (0.054) at Berhampore, whereas the maximum of Pb (0.024 mg/L) and Cr (0.018 mg/L) was obtained at the downstream station, Uluberia. All in all, the dominance of various heavy metals in the surface water of the river Ganga followed the sequence: Fe > Mn > Ni > Cr > Pb > Zn > Cu > Cd. A significant positive correlation was exhibited for conductivity with Cd and Cr of water but Mn exhibited a negative correlation with conductivity. 相似文献
14.
Chukwujindu M. A. Iwegbue 《Environmental Earth Sciences》2014,72(11):4567-4585
The concentrations of metals (Cd, Pb, Ni, Cr, Cu, Fe, Mn and Zn) were determined in soils under different land use types in an urban environment in order to study the impact of land uses on the concentrations of metals in the soils. The mean concentration range of metals for all land use types were 42.1 to 410, 11.2 to 118.2, 4388.2 to 31891.1, 9.7 to 65.4, 0.1 to 1.8, 4.7 to 35.2, 2.0 to 16.8 and 77.9 to 881.7 mg/kg, for Mn, Pb, Fe, Cu, Cd, Cr, Ni and Zn, respectively. The computed multiple pollution index (MPI) indicated that 67 % of the examined sites had MPI values between 1 and 20 i.e. at the pollution range, while 33 % of sites had MPI values of zero which indicated that these sites were not polluted with the studied metals. Zinc had the highest impact on the multiple pollution index values. Three main principal components were identified from the principal component analysis which include (i) Cu, Zn, Pb, Cr and Ni originating from both industrial and agricultural sources, and as well as automobile exhausts; (ii) Fe and Mn which originated from both natural and anthropogenic sources; (iii) Cd which its anthropogenic origin is different from components I and II. This study provided information on the sources of metals in the urban environment and extent of contamination associated with each land use, which are useful in the ranking of contaminated sites, environmental quality management, environmental forensic studies and guidance for remediation/redevelopment of contaminated land. 相似文献
15.
《Applied Geochemistry》2000,15(4):513-530
Soil samples taken from excavated pits on traverses across New Zealand’s Scott Base, Antarctica, were leached with water and 0.01 M HNO3 and the leachates analysed for Ag, Al, As, Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn. The soils had high conductivity and pH values generally increasing with depth and in the range 8.3–10.1. The water leachate generally contained most of the extractable metals except Mn and Cd, and As. Linear relationships were observed between some metals leached into alkaline solution and the Fe in those solutions. The ratios to Fe were comparable to those of the host basanite, and this observation is interpreted as showing that these metals are incorporated in fine mineral particulates derived directly from the rock mass. Outliers in leachable metal concentrations in the soils indicated appreciable contamination of the soil from anthropogenic sources with Ag, Cd, Cu, Pb and Zn as well as As. In some locations high concentrations of Ag and Cd correspond to specific sources and drainage channels. High concentrations of Pb were widely spread and in the top soil layers whereas the elevated concentrations of Zn were distributed throughout the soil profiles indicating atmospheric sources and different mobilities within the soils. Transport within the soils is evident for some metals, as is lateral movement over and through the soils. 相似文献
16.
三峡库区澎溪河消落带土壤中重金属形态分布与迁移特征研究 总被引：2，自引：0，他引：2
消落带是水域与陆地的过渡地带,对水环境有着至关重要的影响。本文以三峡库区消落带面积最大的澎溪河流域作为研究区域,采集消落带土壤及其沿岸土壤样品,分析重金属形态分布特征,并使用地质累积指数法和风险评价准则(RAC)对重金属污染程度及生态风险进行评价。研究表明,消落带土壤中Pb、Cu、Cr、Cd、Zn和Ni平均含量分别为68.70、36.96、55.10、0.68、108.26、31.68 mg/kg,污染程度依次为CdPbZnCuNiCr,以Cd和Pb污染较为突出,普遍高于长江干流土壤,远高于重庆地区土壤。Cd的RAC值为20.62%,呈中等环境风险;其形态稳定性最差,以可还原态和酸提取态为主。Pb、Cu、Cr、Zn、Ni的RAC值为5.45%~10.0%,环境风险较低;且均以残渣态为主,占总量的54.69%~83.05%。以消落带沿岸土壤为对照,消落带形成后土壤中各重金属总量均有不同程度升高,且不同重金属在其增量部分的形态存在差异,Cr和Ni的增量部分以残渣态为主,Cd、Pb、Zn的增量以非残渣态为主。研究发现,由于受到水域与陆地污染源的双重影响,澎溪河流域重金属具有由沿岸向消落带沉积富集的趋势。 相似文献
17.
Doklady Earth Sciences - The accumulation and distribution of heavy metals (Cu, Zn, Mn, Cr, Ni, Co, Pb, and Cd) in soils of the largest cities in the Amur region, such as Blagoveshchensk,... 相似文献
18.
An investigation on spatial distribution, possible pollution sources, and affecting factors of heavy metals in the urban–suburban
soils of Lishui city (China) was conducted using geographic information system (GIS) technique and multivariate statistics.
The results indicated that the topsoils in urban and suburban areas were enriched with metals, such as Cd, Cu, Pb, and Zn.
Spatial distribution maps of heavy metal contents, based on geostatistical analysis and GIS mapping, indicated that Cd, Cr,
Cu, Mn, Ni, Pb, and Zn had similar patterns of spatial distribution. Their hot-spot areas were mainly concentrated in the
densely populated old urban area of the city. Multivariate statistical analysis (correlation analysis, principal component
analysis, and clustering analysis) showed distinctly different associations among the studied metals, suggesting that Cr,
Cu, Ni, Pb, Cd, and Zn had anthropogenic sources, whereas Co and V were associated with parent materials and therefore had
natural sources. The Cd, Cr, Ni, Pb, and Zn contents were positively correlated with soil organic matter, pH, and sand content
(p < 0.01). It is concluded that GIS and multivariate statistical methods can be used to identify hot-spot areas and potential
sources of heavy metals, and assess soil environment quality in urban–suburban areas. 相似文献
19.
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. 相似文献