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1.
北京市作为我国的经济和文化中心,高速的城市化进程带来了一系列的环境问题。城市道路尘可以通过不同途径进入人体,对人体健康造成伤害。本研究采集了春、冬两季北京市6类功能区中道路尘样品46件,研究了其中Cr、Pb、Cd、As和Hg元素的含量和空间分布特征,并采用单因子指数法和内梅罗污染指数法,评价了道路尘中重金属污染程度。结果表明:除冬季As元素外,其余元素平均含量均高于北京市土壤背景值; 5种重金属元素平均含量一般为市区最高,郊区最低。单因子污染评价表明,冬、春两季各个功能区道路尘中除As元素无污染外,其余元素均具有一定程度的污染,其中Cd元素污染程度最高;冬季各功能区道路尘中重金属元素综合污染指数评价均为轻度污染;春季郊区为尚清洁,工厂区、居民区和商业区为轻度污染,休闲区和教育区为中度污染。  相似文献   

2.
In recent years, there has been a rapid growth in the two industrial port cities of Iran, the port of Mahshahr and the port of Imam Khomeini. In spite of their importance for the economy, the two cities require monitoring and assessment from an environmental and human health perspective. In this study, environmental quality and heavy metals pollution of soils influenced by human activities were investigated. A total of 30 soil samples were collected and subjected to detail physicochemical characterization. The results showed high levels of heavy metals in the urban soils of port of Mahshahr (POM) and elevated respective levels in surface soils of the port of Imam Khomeini (PIK) with Ni being significantly higher than those in POM. The integrated pollution index (IPI) values of metals ranged from 1.22 to 1.87 in POM and 1.52 to 3.31in PIK, 50% of soil samples in PIK were classified as highly polluted, and all of the soil samples in PM were classified as moderately polluted. These results are in accordance with Enrichment Factor (EF) values, which showed the role of anthropogenic activities in the soil heavy metal enrichment. Moreover, the highest potential ecological risk index (RI) was found in the sites of petrochemical industries in PIK indicating serious metal contamination. Statistical analysis showed that heavy metals were mainly controlled by human activities. The results showed more dense industrial activity in PIK is responsible for higher pollution. This study establishes a benchmark against which future monitoring and remediation programs can be based on. Because of proximity to the Persian Gulf, continued the release of contaminants into the region, could have adverse biological health effects.  相似文献   

3.
以江西德兴大型矿区为例,进行大尺度的土壤环境调查和重金属污染评价。系统采集该区域919个土壤样品,在应用X荧光光谱仪和电感耦合等离子原子发射光谱仪为主体的分析配套方案分析土壤样品中重金属含量的基础上,采用单因子污染指数法和综合污染指数法,分别从原始含量、污染指数以及基于GIS的污染空间分析3个方面进行该矿区的土壤重金属污染评价。结果表明,矿山开采对该区的土壤环境造成了不同程度的As、Cd、Zn、Cu重金属污染。污染区域主要分布在德兴铜钼和铅锌矿区、乐安河下游乐平附近的煤矿区以及南部电化学厂附近。  相似文献   

4.
Toxic heavy metals represent one of the possible environmental hazards from mine lands, which affect many countries having historic mining industries. The primary aim of the study was to investigate the degree of soil pollution occurring near chromite mines, and make a systematic evaluation of soil contamination based on geoaccumulation index, enrichment factor and pollution index. This paper presents the pollution load of toxic heavy metals (As, Ba, Co, Cr, Cu, Mo, Ni, Pb, Sr, V, Zn and Zr) in 57 soil samples collected around three different active (Tagdur), abandoned (Jambur) chromite mining sites as well residential zone around Chikkondanahalli of the Nuggihalli Schist Belt, Karnataka, India. Soil samples were analyzed for heavy metals by using Wavelength dispersive X-ray fluorescence spectrometry. Results indicated that elevated concentrations of Cr, Ni and Co in soils of the study area exceed the Soil Quality Guideline limits (SQGL). The high enrichment factor for Cr, Ni Co obtained in the soil samples show that there is a steady increase of toxic heavy metals risk in this area, which could be correlated with the past mining activity and post abandoned mining in the area. The data was also treated to study the geoaccumulation index, pollution index and spatial distribution of toxic elements. Emphasis need to be put on control measures of pollution and remediation techniques in the study area.  相似文献   

5.
To evaluate the impact of the cement’s dust emitted by the eastern Moroccan cement factory (Oujda Holcim) and deposited on the soil of the Ain Lahjar commune, 58 samples of soil were collected around the factory on a radius of 3 km approximately. The physicochemical analyses of the upper 3 cm of the soil surface samples correspond to the pH, electrical conductivity, the chlorides and the oxides of Ca, Al, Fe, K, Mn, S and Si which were analyzed by the fluorescence of X-rays. The preliminary results demonstrate that this dust are especially basic and contain a high free lime (43% CaO). The principal component analysis (applied on the 58 samples of soil) allows deducting that the free lime and the sulfur oxide are the tracer elements of this form of pollution. Furthermore, the spatial projection of the factor scores of the principal component analysis using the geographical information system permits to determine the spatial distribution of more polluted areas of soils as well as to estimate their surface (63.3% of the survey zone).  相似文献   

6.
Pollution index is a powerful tool for ecological geochemistry assessment. The commonly used pollution indices by heavy metals in soils and sediments were classified as two types of single index and integrated index in an algorithm point of view. Four single indices of contamination factor (or concentration factor), ecological risk factor, enrichment factor, and index of geo-accumulation were illustrated, and the reference values for calculating single indices were distinguished into background levels and threshold pollution values. Eight integrated indices were divided into two groups. One group is suitable for the normal distribution single indices including the sum, average, weighted average,vector modulus, and Nemerow pollution indices, and the other for log-normal distribution including the product, root of product, and weighted power product pollution indices. Using background levels as reference values, five contamination classes were divided, and the terminologies are suggested for the single and integrated indices to unify the assessment results. Software of EGAPI was developed in a single document interface to calculate the four single and eight integrated indices by heavy metals to assess the quality of soil and sediment ecological geochemistry. Pollution indices by heavy metals of Cu,Pb, and Zn in soils in parks of Beijing were calculated using EGAPI software, and these five contamination classes and terminologies suggested in this study were evaluated and used. Results ofintegrated indices of Cu, Pb, and Zn in soils indicated that the soil qualities are unpolluted as a whole and varied from low polluted to unpolluted status from the center to the outskirts of Beijing City.  相似文献   

7.
Pu  Wanqiu  Sun  Jiaqi  Zhang  Fangfang  Wen  Xingyue  Liu  Wenhu  Huang  Chengmin 《中国地球化学学报》2019,38(5):753-773

Metallic ore mining causes heavy metal pollution worldwide. However, the fate of heavy metals in agrosystems with long-term contamination has been poorly studied. Dongchuan District (Yunnan, southwest China), located at the middle reaches of the Xiaojiang River, is a well-known 2000-year-old copper mining site. In this work, a survey on soil heavy metal contents was conducted using a handheld X-ray fluorescence instrument to understand the general contamination of heavy metals in the Xiaojiang River Basin. Furthermore, river water, soil, and rice samples at six sites along the fluvial/alluvial fans of the river were collected and analyzed to implement an environmental assessment and an evaluation of irrigated agrosystem. V, Zn, and Cu soil levels (1724, 1047, and 696 mg·kg−1, respectively) far exceeded background levels. The geo-accumulation indexes (Igeo) showed that cultivated soils near the mining sites were polluted by Cd and Cu, followed by Zn, V, Pb, Cr, Ni, and U. The pollution index (Pi) indicated that rice in the area was heavily polluted with Pb, Cr, Cd, Ni, Zn, and Cu. The difference in orders of metal concentrations between the soil and rice heavy metal contamination was related to the proportion of bioavailable heavy metals in the soil. The crop consumption risk assessment showed that the hazard quotient exceeded the safe threshold, indicating a potential carcinogenic risk to consumers. The Nemerow integrated pollution index and health index indicated that the middle of the river (near the mining area) was the heaviest polluted site.

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8.
To monitor environmental implications of cement dust on soil in industrial area, magnetic parameters and mineral compositions were measured by the samples of the cement dust, cement factory dustfall, cement, coal ash, topsoil of green space in the factory and topsoil outside the factory. Results showed that the major magnetic minerals in the samples were magnetite, the magnetic mineral particle size of cement dust, dustfall, cement and coal ash was coarse Multi-Domian (MD) and Pseudo-Single-Domain (PSD). As topsoil of green space in the factory and topsoil outside the factory were polluted by cement dust, their magnetic properties had been obviously changed; the concentration of magnetic minerals elevated and particle size became coarser. The magnetic parameters (χfd,χARM/χ,χARM/SIRM) value can reflect the pollution level of the soil, the lower its value was, the more serious soil was polluted. X-ray diffraction results showed that the mineral compositions of the topsoil of green space in the factory and topsoil outside the factory were quartz and calcite, which were the same as cement dust. Magnetic parameters combination characteristics of topsoil can monitor the soil environmental changes in cement industry area.  相似文献   

9.
Street dust is one of the important indicators that reflect the status of urban environmental pollution. There are many studies of heavy metals contamination of street dust in capital cities; however, little attention has been paid to this kind of study in medium cities, including China. The dust samples were collected in the district of traffic crossroads in Xianyang city, Shaanxi Province. Pb, Cd, Cu, Ni, Zn, Cr and Mn concentrations were determined using atomic absorption spectrometry (AAS). The results indicate that the concentrations of heavy metals are higher than the background values of soils in Shaanxi Province. The contamination level of heavy metals is assessed by potential ecological risk index (E r), geoaccumulation index (I geo), enrichment factor (EF) and pollution index (Pi). The low I geo, EF, E r, Pi and PIn (integrated pollution index) for Mn in street dusts indicate an absence of distinct Mn pollution. The high EF, Pi and PIn of Cu and Zn indicate that there is considerable Cu and Zn pollution. It is suggested that more attention should be paid to heavy metals contamination of Cu and Zn. The assessment results of Pi and PIn suggest that Pb, Ni and Cr present strong pollution; however, their EFs indicate that they cause moderate pollution and their I geo indicates that they are unpolluted to moderately polluted. The contamination class value with different assessing methods is of the order: Pi ≈ PIn > EF > I geo > E r.  相似文献   

10.
This study is aimed at determining the level of environmental degradation as well as the concentration of trace elements in soil and stream sediments in order to evaluate the environmental impact of the mining operation. Twenty-five (25) soils and ten (10) stream sediment samples were collected from the study area. The physicochemical parameters were determined using appropriate instrumentation with the aid of a digital pH meter (Milwaukee meter) to measure the pH and electrical conductivity, total dissolved solids, moisture content and loss on ignition of the soil and stream sediment samples. The pH of the soil sample ranged from (6.10 to 7.19); Electrical conductivity ranged from (21.3 to 279.4 µS/cm), moisture content varied from (0.60% to 7.20%), and the LOI ranged from (2.03% to 18.62%). The results of the analysis showed that the concentrations of the trace elements in the soils and stream sediment samples were slightly higher than the background values. Plots of the trace elements in stream sediment samples show moderate, consistent decrease downstream except at points where there was mine water discharge into the main river. The pollution levels of heavy metals were examined in stream sediment and soil samples using different assessable indices, such as the enrichment factor, which showed significant-moderate enrichment for Cr, Th, Nb, Zn, Pb, Y and Zr and the geo-accumulation index, which showed practically moderate contamination with Cr, Ni and Sr based on regional background reference values. Geo-accumulation index and contamination index for soils and stream sediment revealed uncontaminated to moderate contamination. Likewise, elements with moderate contamination were Cr, Ni and Sr. The Pearson correlation showed that there were significant positive associations among selected metals in soil and stream sediment samples.  相似文献   

11.
土壤重金属污染潜在风险评价   总被引：5，自引：0，他引：5  
以北方某河流河床及河流两侧农田中土壤为研究对象,采用地累积指数法和潜在生态危害指数法对土壤中Cd 和Ni 的污染状况进行风险评价。结果表明,废弃冶炼中心处河床及河流两侧土壤中 Cd 和Ni 污染严重,均超过当地土壤背景值; 河床中土壤重金属富集程度为Cd ＞ Ni,其中Cd 富集程度达5 级,为重污染。以当地土壤背景值作为参比值进行评价,该河流处于重度的潜在生态危害程度,重金属的生态危害顺序为Cd ＞ Ni。  相似文献   

12.
Determination of the origin of heavy metals in the household dust and street sediment in a previously heavily contaminated area was carried out. The main question addressed was the origin of heavy metals in dry and wet air deposits measured in the environmental monitoring programme of the community of Celje. There are two possible sources: present atmospheric emissions by industries in Celje and dusting of previously heavily contaminated soil. Determination of the present emissions was done on the basis of a method based on enrichment factor calculations. Samples of soil, street sediment and household dust in the contaminated area and in a non-contaminated sampling point were analysed. Expected heavy metal concentrations in household dust and street sediment in the previously heavily polluted area according to the level of measured soil contamination were calculated. Expected and measured values were compared to detect possible present atmospheric emissions. The data show higher enrichment with elements related to ironworking activities (Fe, Co, Cr, Mn, Ni) in household dust and street sediment, according to the concentrations in the soil in the vicinity of ironworks in comparison to the reference point. Similar observations can be made at the sampling point, east of a factory producing TiO2-based white pigment for Ti, because emissions from it are expected. In contrast, the same trend is not observed for elements related to pollution problems in Celje (Cd, Zn, Pb). This indicated that street sediment and household dust might be a good tracer of present atmospheric emissions, despite the fact that the environment was previously highly contaminated. The method yields good results, which fit very well with expectations.  相似文献   

13.
江苏省土壤重金属分布特征与污染源初步研究   总被引：4，自引：2，他引：2  
以24 186个表层土壤(0～20 cm)和6 127个深层土壤(150～200 cm)样品之Cd、Hg、Pb、As等含量数据为基础,研究了江苏全省土壤环境的重金属分布与主要污染特征.结果表明.全省自然土壤环境与人为活动土壤环境的重金属元素分布都不均匀,但人为活动土壤环境中的不均衡程度远高于自然土壤环境:全省农田中有1.02%的土壤受到Cd、Hg、Pb等8种重金属的严重污染,苏州市、无锡市土壤环境被重金属污染的程度相对严重;工业化、城市化进程中的人为活动及自然地质作用都是引起江苏局部土壤重金属污染的重要原因,自然成因的重金属污染土壤多呈面状、多元素、低强度、双层污染等特点,从而与人为成因的重金属污染土壤有所区别.  相似文献   

14.
The ability of Chromolaena odorata to accumulate and serve as biomarker to lead and cadmium metals pollution load had been revealed by this study. Samples of soils and Siam weed were collected to assess impacts of solid waste disposal and traffic density on the environment. Composite sample were collected from a solid waste dumpsite, three traffic polluted areas with varying traffic density and a background site distant from traffic. Concentration of eight elements: cadmium, cobalt, chromium, copper, iron, nickel, lead and zinc were determined in soil and plant samples and correlated together. Accumulative factors like pollution load index, transfer factor, contamination factor, enrichment factor were calculated for the metals in both plants and soils and used as basis for interpreting the state of the environment and ability of C. odorata to accumulate metals. The accumulative factors of plants were generally greater than that of soil samples indicating increased accumulative capacity of the plant. The accumulations of lead and cadmium in C. odorata were remarkable with contamination factor 10.51 and 23.50, respectively and mean enrichment factors 3.52 and 6.93, respectively. Other metals had lower accumulative factors. The distribution of metals and calculated factors placed solid waste disposal site as the most polluted site while the trend observed in areas with traffic pollution depicts the ability of C. odorata to clean up metal pollution by accumulating them. It can therefore be suggested that solid waste disposal negatively affects the environment more than traffic pollution subject to the volume of traffic.  相似文献   

15.
The concentrations of heavy metals (As, Ba, Co, Cr, Cu, Ni, Mo, Pb, Sr, V and Zn) were studied in soils to understand metal contamination due to industrialization and urbanization around Manali industrial area in Chennai, Southern India. This area is affected by the industrial activity and saturated by industries like petrochemicals, refineries, and fertilizers generating hazardous wastes. The contamination of the soils was assessed on the basis of geoaccumulation index, enrichment factor (EF), contamination factor and degree of contamination. Soil samples were collected from the industrial area of Manali from the top 10-cm-layer of the soil. Soil samples were analyzed for heavy metals by using Philips MagiX PRO-2440 Wavelength dispersive X-ray fluorescence spectrometry. The data revealed elevated concentrations of Chromium (149.8–418.0 mg/kg), Copper (22.4–372.0 mg/kg), Nickel (11.8–78.8 mg/kg), Zinc (63.5–213.6 mg/kg) and Molybdenum (2.3–15.3 mg/kg). The concentrations of other elements were similar to the levels in the earth’s crust or pointed to metal depletion in the soil (EF < 1). The high-EFs for some heavy metals obtained in the soil samples show that there is a considerable heavy metal pollution, which could be correlated with the industries in the area. Contamination sites pose significant environmental hazards for terrestrial and aquatic ecosystems. They are important sources of pollution and may result in ecotoxicological effects on terrestrial, groundwater and aquatic ecosystems. In this perspective there is need for a safe dumping of waste disposal in order to minimize environmental pollution.  相似文献   

16.
The study was intended to investigate the heavy metal contamination in the agricultural soils of the copper mining areas in Singhbhum shear zone, India. The total concentrations of the metals were determined by inductively coupled plasma-mass spectrometer (ICPMS). Pollution levels were assessed by calculating enrichment factor (EF), geo-accumulation index (\(I_\mathrm{geo}\)), contamination factors (CF), pollution load index (PLI), Nemerow index and ecological risk index (\(R_{I}\)). The metal concentrations in the soil samples exceeded the average shale values for almost all the metals. Principal component analysis resulted in extraction of three factors explaining 82.6% of the data variability and indicated anthropogenic contribution of Cu, Ni, Co, Cr, Mn and Pb. The EF and \(I_\mathrm{geo}\) values indicated very high contamination with respect to Cu followed by As and Zn in the agricultural soils. The values of PLI, \(R_{I}\) and Nemerow index, which considered the overall effect of all the studied metals on the soils, revealed that 50% of the locations were highly polluted with respect to metals. The pollution levels varied with the proximity to the copper mining and processing units. Consequently, the results advocate the necessity of periodic monitoring of the agricultural soils of the area and development of proper management strategies to reduce the metal pollution.  相似文献   

17.
The concentration of heavy metals such as Ba, Co, Cr, Cu, Ni, Pb, Rb, Sr, V, Y, Zn, Zr were studied in soils of Balanagar industrial area, Hyderabad to understand heavy metal contamination due to industrialization and urbanization. This area is affected by the industrial activities like steel, petrochemicals, automobiles, refineries, and battery manufacturing generating hazardous wastes. The assessment of the contamination of the soils was based on the geoaccumulation index, enrichment factor (EF), contamination factor, and degree of contamination. Soil samples were collected from Balanagar industrial area from top 10–50 cm layer of soil. The samples were analyzed using X-ray fluorescence spectrometer for heavy metals. The data revealed that the soils in the study area are significantly contaminated, showing high level of toxic elements than normal distribution. The ranges of concentration of Cr (82.2–2,264 mg/kg), Cu (31.3–1,040 mg/kg), Ni (34.3–289.4 mg/kg), Pb (57.5–1,274 mg/kg), Zn (67.5–5819.5 mg/kg), Co (8.6–54.8 mg/kg), and V (66.6–297 mg/kg). The concentration of above-mentioned other elements was similar to the levels in the earth’s crust pointed to metal depletion in the soil as the EF was <1. Some heavy metals showed high EF in the soil samples indicating that there is a considerable heavy metal pollution, which could be correlated with the industries in the area. A contamination site poses significant environmental hazards for terrestrial and aquatic ecosystems. They are important sources of pollution and may results in ecotoxicological effects on terrestrial, groundwater and aquatic ecosystems.  相似文献   

18.
岩溶铅锌矿区土壤重金属污染特征   总被引：4，自引：3，他引：1  
以DX、DW铅锌矿区土壤为研究对象,利用原子吸收光谱法（AA800）、原子荧光光谱法（AF-640）测定土壤中铅、铬、镉、铜、锌、镍、汞和砷等重金属的含量,利用单因子污染指数法、N.L.Nemerow综合污染指数法对比分析土壤中重金属的污染特征,采用PCC统计学方法分析矿区土壤中重金属之间的相关性。结果表明:两矿区土壤中除Cu、Cr外,其余重金属均已对土壤造成单一或复合污染,其中Cd污染最为严重,对综合污染贡献最大。DX、DW矿区土壤重金属的Nemerow指数分别为27.61、63.54,均达到极强污染水平,且DW矿区污染较为严重。DX矿区,除Ni外,Pb、Cr等7种重金属元素之间存相关性;DW矿区,除Cr外,Pb、Ni等7种重金属元素之间存相关性,这可能与二矿区均属多金属伴生、共生矿床有关;土壤中各重金属总含量与pH值没有显著的相关性。研究结果将为合理制定矿区土壤污染的修复和治理措施提供依据。   相似文献   

19.
为评价某城市规划新区表层土壤质量,利用网格法采集表层土样1000件,分析8种重金属(Cd、 Cu、 Zn、 Ni、Cr、Pb、Hg、As)元素的含量,并分别运用污染负荷指数(PLI)和潜在生态危害指数(RI)评价研究区表层土壤中重金属的污染程度和危害等级。利用克里金插值法研究土壤PLI和RI的空间分布特征。结果表明:研究区内表层土壤重金属平均值均大于中国土壤背景值,Cd、Cu、Ni较为富集。研究区Cd和Cu元素为重度污染,Cd的生态危害性较强,87.90%的土样为重金属轻微污染,60.83%的土样为中等生态危害。污染较为严重和风险较强的地区主要位于研究区西南部河流两岸,Cu和Cd可能受到了人类活动的影响而偏高。  相似文献   

20.
对乐安江流域稻田表层土壤中Pb、Cd、Cu、Zn的分布特征进行分析,按照单因子污染指数法和内梅罗综合污染指数法,依据土壤环境背景值标准和国家土壤环境质量标准对乐安江流域稻田土壤的重金属进行评价。结果表明,矿集区上游水稻田土壤重金属综合污染指数等级尚在安全范围内,矿集区周边Cd和Cu的单项污染指数大于1,综合污染指数达到7.82,属于重污染;矿集区下游接近警戒值。研究表明,矿集区矿业开发释放的重金属元素对乐安江中下游流域水稻田土壤的重金属累积具有重要影响。  相似文献   

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