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评估重金属污染的非致癌健康风险:来自印度东部采煤区的证据。

Assessment of non-carcinogenic health risk of heavy metal pollution: evidences from coal mining region of eastern India.

机构信息

PG Department of Geography, Raja N. L. Khan Women's College (Autonomous), Gope Palace, Midnapore, West Bengal, 721102, India.

Department of Geography, Sidho Kanho Birsha University, Purulia, India.

出版信息

Environ Sci Pollut Res Int. 2021 Sep;28(34):47275-47293. doi: 10.1007/s11356-021-14012-3. Epub 2021 Apr 23.

Abstract

Various developmental projects and economic actions such as mining, industries, urban expansion, and agricultural activities contribute toxic heavy metals into the soils and it adversely affects to human health and broadly the environment. For the scientific study (coal mining region of Eastern India) around 120 soil samples were collected from top (0 - 20 cm) and subsurface soil (20 - 50 cm) of coal mining, semi mining and non mining type of land use sites to assess ten heavy metals applying standard methods and indices for the assessment of pollution load and human health risk. Statistical analysis clearly indicated that Fe, Mn, Zr are the most dominantly distributed in the study region. Coefficient of variance (CV)showed that there was very less variation in the metal values among samples of any particular landuse site. Correlation coefficient (0.05% level of significance) depicts that metals were very strongly correlated with each other in every site of Neturia block. Igeo (Geo- accumulation index) values of Fe and As indicated moderate to low pollution in the topsoil of study area. It is because of their regional background value. Enrichment Factor (EF) also showed thatcontamination of Fe ismainly supplied by natural factors (EF < 2)i.e., weathering of parent rock in all over the study area. All other heavy metals indicated their anthropogenic sources (EF > 2)on top and subsurface soil both of three landuse site. Degree of contamination (Cdeg), modified degree of contamination (mCdeg), contamination factor (CF) and pollution load index (PLI) clearly suggest that topsoil of coal mining sites is most polluted than two other sites. Subsurface soil of mining sites also indicated comparatively higher pollution load than subsoil of semi mining or non mining sites. PLI values have been classified into four groups i.e., high pollution (> 6), medium pollution (6 -3), low pollution (3 - 1) and no pollution (< 1) zone. There was no PLI value < 1 in topsoil of the study area. But subsurface soil of non mining site indicated no pollution to the soil. Spatial mapping using Inverse Distance Weightage (IDW) on Arc GIS 10.4 software showed clear variation of metal concentration and pollution load to the top and subsoil of the study area. Human health risk of non - carcinogenic typeisdue to heavy metals intake of topsoil through three exposure pathwaywhich indicates the health risk of HI > HI > HI for both the adult and children. Mean values of total HI showed that children are more prone to health risk in comparison with adult. There was no soil sample that exceeds its HI values > 1 for adults and thus no obvious health risk was found from soil heavy metals for adults.On the other hand, topsoil of mining sites indicated HI values >1;therefore, children are prone to health risk in this site. The present investigation suggests that coal mining region is highly polluted by their heavy metal burden on soil. Industrial and semi urban areas of semi mining region are also affected by heavy metal dust to its soil. Agricultural activities in non-mining region indicated lower pollution than other landuse sites. Remedial measures are highly needed to control heavy metal pollution of different landuse sites at colliery region to sustain environmental quality and human health as well. Modern scientific technologies and public awareness should be very useful on this way.

摘要

各种开发项目和经济活动,如采矿、工业、城市扩张和农业活动,将有毒重金属带入土壤,对人类健康和广泛的环境造成不利影响。为了进行科学研究(印度东部的煤炭开采区),从煤炭开采、半开采和非开采类型土地利用区的表层(0-20 厘米)和次表层土壤(20-50 厘米)中采集了大约 120 个土壤样本,采用标准方法和污染负荷和人类健康风险评估指数评估了十种重金属。统计分析清楚地表明,Fe、Mn、Zr 在研究区域中分布最广泛。变异系数(CV)表明,任何特定土地利用区的样本中金属值的变化很小。相关系数(在 0.05%的显著水平)表明,在 Neturia 区块的每个站点中,金属之间的相关性非常强。Igeo(地质累积指数)值表明,研究区表土中的 Fe 和 As 存在中度至低度污染。这是因为它们具有区域背景值。富集因子(EF)也表明,Fe 的污染主要由自然因素(EF<2)供应,即在整个研究区域内,来自母体岩石的风化。所有其他重金属都表明它们在三种土地利用区的表层和次表层土壤中都有人为来源(EF>2)。污染程度(Cdeg)、修正污染程度(mCdeg)、污染因子(CF)和污染负荷指数(PLI)清楚地表明,煤矿开采区的表层土壤污染最严重,其次是另外两个区。矿区次表层土壤的污染负荷也高于半开采或非开采区的次表层土壤。PLI 值分为四类,即高污染(>6)、中污染(6-3)、低污染(3-1)和无污染(<1)区。研究区表层土壤没有 PLI 值<1。但非开采区的次表层土壤对土壤没有污染。使用 ArcGIS 10.4 软件中的逆距离权重(IDW)进行空间制图显示,研究区的表层和次表层土壤的金属浓度和污染负荷有明显变化。非致癌型人类健康风险是由于成年人通过三种暴露途径摄入表土中的重金属而导致的,这表明 HI>HI>HI 对成人和儿童都存在健康风险。总 HI 的平均值表明,与成年人相比,儿童更容易受到健康风险的影响。没有土壤样本的 HI 值超过 1,因此没有发现成年人的土壤重金属存在明显的健康风险。另一方面,矿区的表土 HI 值>1;因此,儿童在这个地区更容易受到健康风险的影响。本研究表明,煤矿区的土壤重金属污染负荷很高。半开采区的工业和半城区也受到重金属粉尘对其土壤的影响。非开采区的农业活动显示出比其他土地利用区更低的污染。需要采取补救措施来控制不同土地利用区的重金属污染,以维持环境质量和人类健康。现代科学技术和公众意识在这方面将非常有用。

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