共查询到18条相似文献，搜索用时 109 毫秒
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采用单因子指数法、内梅罗综合污染指数法、地累积指数法与潜在生态危害指数法对2018—2020年海淀区重点企业周边表层土壤样品中8项重金属元素全含量进行污染、累积与生态风险评价,浅析重金属累积来源及变化趋势.结果表明,PN最大值为0.55,低于0.7,土壤环境质量为安全等级.Cr、Cu、Zn、Hg、As为主要累积元素,Cu、Zn、Pb、Hg、Ni两两之间存在极显著相关性,Cr与其他元素相关性相对较弱.分析土壤中Cr累积主要受成土母质影响,Hg累积主要为点源污染造成.土壤中重金属全含量各年均值变化趋势平稳,仅个别企业周边土壤潜在生态风险相对略高,建议加强企业内部和周边土壤监测等. 相似文献
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采用单因子指数法、内梅罗综合污染指数法、地累积指数法与潜在生态危害指数法对2018—2020年海淀区重点企业周边表层土壤样品中8项重金属元素全含量进行污染、累积与生态风险评价,浅析重金属累积来源及变化趋势.结果表明,PN最大值为0.55,低于0.7,土壤环境质量为安全等级.Cr、Cu、Zn、Hg、As为主要累积元素,Cu、Zn、Pb、Hg、Ni两两之间存在极显著相关性,Cr与其他元素相关性相对较弱.分析土壤中Cr累积主要受成土母质影响,Hg累积主要为点源污染造成.土壤中重金属全含量各年均值变化趋势平稳,仅个别企业周边土壤潜在生态风险相对略高,建议加强企业内部和周边土壤监测等. 相似文献
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近地表土壤中重金属元素的累积与有机碳的含量关系密切.有研究者指出,腐殖质对重金属元素的吸附和螯合容量很大,来源于大气的重金属元素总是最终以腐殖质结合态回落土壤[1].腐殖质对重金属具有远较粘土矿物更高的吸附容量,即使很低的腐殖质含量也可吸附相当大量的重金属[2]. 相似文献
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云南个旧锡矿区矿业活动对土壤重金属的累积贡献 总被引：1，自引：0，他引：1
矿业活动是土壤重金属累积的重要原因之一。分析云南个旧锡矿区矿业活动区、与矿业活动区地质条件相同的矿业活动影响区和未受矿业活动影响的参照区表层土壤7种重金属元素之间的相关性,以参照区表层土壤重金属总量、参照区土壤重金属似背景值分别评价矿业活动对矿业活动区和矿业活动影响区土壤重金属的累积贡献量和贡献率。结果表明,矿业活动区重金属累积贡献率排序为PbZnAsCuCdCrHg,影响区重金属累积贡献率排序为PbZnAsCuCdCrHg,Pb、Cd、As、Zn、Cu与矿业活动关系密切,矿业活动区Pb、Cd、As均表现为极高累积和极高风险,应作为矿业活动治理的重点元素。 相似文献
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小秦岭金矿带某污染区村民头发中重金属元素含量的比照分析 总被引：1，自引：0，他引：1
为了定量化揭示金矿污染区人群头发中重金属元素的累积状况及其对人群健康的危害,在小秦岭金矿带某环境污染区走访调查村民的健康状况,采集分析了20位村民头发中的Hg、Pb、Cd、As、Cr、Cu的含量,与未污染的对照区村民头发中重金属元素的含量作比对分析.结果显示,职业暴露或低水平长期接触导致污染区人群头发中重金属元素的舍量显著增高,直接从事提金活动的人群头发中的重金属元素含量明显高于低水平暴露人群,头发中重金属元素的含量较好地指示了人群健康的状况.研究成果为政府加大矿山环境污染防治的力度提供了科学依据. 相似文献
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理想点法在太原盆地土壤重金属污染等级评价中的应用 总被引：3，自引：0，他引：3
根据重金属元素污染等级评价标准,利用理想点法对太原盆地土壤重金属进行了污染等级评价。评价采用2种方式,一种是将分级标准中的参考值列入评价标准,作为污染等级最大的一级标准处理;另一种是不考虑参考值,仅考虑分级标准中一级～五级的评价标准值。用方式一进行评价得到的结果使太原盆地整体污染情况均有削弱,而方式二能较好地区分开各区污染程度高低,更能够具体地反映污染的实际情况,不容易造成污染信息的损失。评价结果表明,污染程度较低的点集中在边远山区,污染程度较高的点集中分布在汾河流域。从城市分布方面来看,太原市、榆次市、汾阳—孝义一带污染较为严重,太谷、祁县次之,清徐、交城、文水、平遥的土壤环境相对清洁。 相似文献
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Distribution and fractionation of heavy metals in the surface sediments of the Ganges- Brahmaputra-Meghna river system in the Bengal basin 总被引：1，自引：0，他引：1
The lower Ganges-Brahmaputra-Meghna (G-B-M) drainage basin occupies the total Bengal Basin, which is one of the unique basins
of the world because of its location and size, density of population, and catastrophic deposition of sediments. The increased
heavy metal concentration in the 63 m fraction of surface sediments shows similarity among major segments of the G-B-M system
in the basin, which reflects the homogenization of lithologic and chemical diversity of the greater denudation regime by the
river processes. The differences in heavy metal concentation in the lower G-B-M system with that of its upper and middle counterpart
is mainly related to the contrast between Himalayan rivers and the other major South Asian rivers, and may be due to the geological
differences of their denudation regime. Heavy metals in the Lower G-B-M system have an affinity towards the clay fraction
of the sediments. The correlation matix of heavy metals in the lower Brahmaputra and Meghna suggests the importance of Fe-Mn
oxyhydroxides in their accumulations. Iron, Ti and Mn are higher in the Meghna main channel, Zn is higher in the Meghna tributaries,
and Cr is higher in both the Brahmaputra and Meghna compared to the value for standard shale. The enrichment factor is ≤1
for most of the metals except Mn which is relatively higher in the Meghna and lower Ganges main channels. The geoaccumulation
index (Igeo) for most of the heavy metals lies below grade zero, suggesting unpolluted sediment quality. The lower Ganges system shows
relatively higher concentration in the nondetrital fraction of heavy metals, probably due to the presence of petroleum refinery,
industrial and mining effluents, and agricultural runoff in the drainage basin. The relative uniformity in concentration of
heavy metals in vertical profiles may be due to the uniformity in sediment grain size and catastrophic deposition of sediments,
where the time period represented by the vertical sediment column is not enough to reflect the cultural accumulation of heavy
metals. The Bengal basin thus represents a relatively unperturbed alluvial basin with regards to heavy metal pollution.
Received: 21 July 1997 · Accepted: 13 October 1997 相似文献
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太原盆地构造格局及其与地震活动水平的新认识 总被引：3，自引：0，他引：3
杨承先 《华北地质矿产杂志》1996,11(2):226-232
太原盆地存在两组断裂，一组为横向断裂，即北东东－东西向断裂，是燕山期或晚古生代的断裂，其中有些断裂在上新世初仍有活动，但活动的幅度和规模均较小；另一组为纵向断裂，即北北东－北北西向断裂，为上新－第四纪断裂，活动较强，但规模不大，太原盆地的中小地震可能与之有关。 相似文献
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近年来,太原盆地内尽管没有强震发生,小震却异常活跃,而研究太原盆地构造应力场的分布和演化规律的工作比较少.采用有限元数值方法,综合考虑区域地质构造差异、主要活动断裂带、地形起伏和岩石圈分层结构,引入深部速度结构,建立包含太原盆地在内的山西地区三维粘弹性模型.以GPS观测值和最大主压应力方向测量值为约束条件,重建研究区现今构造背景应力场.在此基础上,依次模拟了自公元512年以来太原盆地6级以上和山西地震带7级以上历史强震序列.计算结果显示,太原盆地内的3次6级以上历史地震均落在应力场增加值大于0.01 MPa的区域,盆地近年来小震空间分布与现今应力增加值大于0.01 MPa的区域有较好的对应关系.研究表明:山西地震带内历史强震序列和长期构造加载对太原盆地内3次历史强震均有促进作用,太原盆地的地震活动性明显受区域当前应力水平的控制. 相似文献
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The relation between the magnitude of a flood event and the resulting environmental impacts remains unclear. This study examines
the impact of the flood of record on heavy metal deposition on the Tar River floodplain in eastern North Carolina, USA. Samples
of sediment deposited on the floodplain following Hurricane Floyd were collected from 85 sites along the lower Tar River basin
and analyzed for heavy metal concentration. The Hurricane Floyd event is the flood of record for the Tar River basin. Despite
the magnitude of the flood, little suspended sediment was deposited on the floodplain. In almost all cases the deposition
was less than 0.2 cm. There was variability in heavy metal content from site to site, but the overall concentrations were
lower than might be expected for a flood of the magnitude of Floyd. To aid in comparison of contamination levels, the heavy
metal concentrations were normalized to two environmental standards; the EPA preliminary remediation goals for residential
soil and the general background concentrations of stream sediments throughout the Tar River basin. Most samples were highly
enriched in heavy metals relative to the background concentration of stream sediments. However, samples were generally not
contaminated relative to EPA PRG regulations. Arsenic, which was significantly elevated in nearly all samples, was the only
exception. This contradiction makes it clear that the standard to which contaminants are compared must be considered carefully.
The overall low concentration of heavy metals was likely the result of smaller flooding from Hurricane Dennis, 10 days prior
to Hurricane Floyd, moving most of the stored sediment out of the basin prior to wide-spread overtopping of the banks. The
implication is that event sequencing is as important as flood magnitude when examining environmental impacts. 相似文献
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太原盆地地下水系统水化学特征及形成演化机制 总被引：5，自引：4，他引：1
在对太原盆地水文地质进行详细调查基础上,集成应用水化学统计、水化学模拟技术,系统研究了盆地地下水水化学类型、空间分布特征,并对其形成演化机制进行了系统分析,取得了一系列新的认识。按水质类型和分布特征,盆地浅层地下水-含水层埋深小于50 m大致分为盆地边缘地带浅层淡水、盆地中心浅层咸水和浅层高矿化硫酸盐水3种类型。高矿化硫酸盐水主要是由于接受了富含硫酸根离子的周边基岩水补给所致。盆地中深层孔隙水可分为盆地边缘中深层水、盆地中心中深层水和中深层混合水3种类型。浅层地下水存在2种形成机制,一种是高矿化Ca·Mg-SO42-型岩溶水的混合补给形成,另一种高矿化水是在径流演化过程中受蒸发浓缩作用影响,使地下水矿化度不断增高而形成。自盆地边缘至中心地带,中深层地下水水化学特征具有明显的水平变化规律,在盆地中心形成2个高值区,水化学类型依次为Ca·MgHCO3→Na·CaHCO3·SO4→Na·MgHCO3·Cl→NaHCO3。
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北方岩溶大泉地下水系统的圈划: 以太原盆地东西山地区为例 总被引：3，自引：0，他引：3
运用地下水系统分析理论, 以山西省太原盆地东西山地区为实例, 利用GIS技术对区内岩溶大泉地下水系统进行了圈划.运用岩相古地理、地质构造和水文地质分析方法, 首次提取了研究区岩溶含水系统的区域隔水底板等高线、边山断裂两壁投影图及岩溶水系统图等定量或半定量水文地质信息, 圈划出了东西山岩溶水系统的局部饱水带、饱水带和碳酸盐岩非饱水带.研究结果表明, 西山地区兰村泉、晋祠泉属于同一个岩溶子系统; 西冶泉岩溶子系统是相对独立的岩溶水系统; 东山基岩山区大部分属于娘子关泉岩溶子系统, 且东山岩溶水子系统与盆地地下水有密切水力联系而与兰村泉-晋祠泉岩溶子系统无直接关系.这些为模拟盆地地下水系统和评价北方岩溶地下水资源提供重要的科学依据, 对前人就太原盆地边山岩溶水系统边界的确定和内部结构的划分提法有了新的认识. 相似文献
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Suspended and bed sediments collected from the entire region of the Godavari River basin were analyzed for Fe, Mn, Cr, Cu, Ni, and Zn. There are pronounced temporal and spatial variations in the heavy metal distributions. The concentrations of heavy metals in the suspended sediments are significantly higher than the bed sediments.Throughout the basin heavy metals are enriched in the finer fractions (<2 µm) of the bed sediments. The average heavymetal composition of the sediments is higher when compared to the average Indian river sediments. Heavy-metal concentration in the two shallow cores collected shows, to some extent, the influence of urbanization. When compared to the other tropical Indian rivers such as the Krishna, the Godavari appears to be a significant contributor of heavy metals to the Bay of Bengal. Considering the enormous sediment load of the Godavari River—170 million tons/yr, the heavy metal fluxes to the Bay of Bengal is very significant. Except for the Pranhita, other tributaries of the Godavari do not contribute significant loads of heavy metals. All the metals show high correlation among themselves and the correlation is more pronounced in suspended sediments than in the bed sediments. The heavy-metal distribution, fractionation, and its relationship with total suspended sediments and depth in various parts of the basin are discussed in detail. 相似文献