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首页> 外文期刊>Journal of the Brazilian Chemical Society >Evaluation and Geostatistical Study of Toxicological Risk by Water Ingestion with Al, Ba, Fe and Pb in Communities Close to Industrial Areas in the Brazilian Amazon
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Evaluation and Geostatistical Study of Toxicological Risk by Water Ingestion with Al, Ba, Fe and Pb in Communities Close to Industrial Areas in the Brazilian Amazon

机译:巴西亚马逊工业区邻近工业区的Al,Ba,Fe和Pb对毒理风险的评价和地统计学研究

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This study provides a risk assessment and risk maps related to the consumption of water contaminated by Al, Ba, Fe and Pb in an industrial area in the Brazilian Amazon. A total of 120 samples of drinking water were collected from 26 locations in the municipality of Barcarena, Par?? State. Multiple elements were analyzed by inductively coupled plasma optical emission spectrometry. The quantifiable elements in the samples were Al, Ba, Fe and Pb. Risk assessment was performed according to U.S. Environmental Protection Agency (USEPA) procedures. Results indicate that the highest potential risk of non-carcinogenic adverse health effects for Al was in S?£o Jo?£o Island; for Ba, Fe and Pb (hazard quotient (HQ) 1) were in Porto da Balsa community, in the city of Barcarena and Distrito Industrial community, respectively. Maps showed that areas located near Barcarena’s industrial complex are the most affected by water contamination. Therefore, these populations are at higher risk of non-carcinogenic problems, especially children and the elderly, since the majority of the population resides in these areas. Geospatial analysis contributed to delimiting and analyzing risk-change trends in the region, expanding the scope of results to a decision-making process.
机译:本研究提供了与巴西亚马逊的工业区中的Al,Ba,Fe和Pb污染的水消耗有关的风险评估和风险地图。从Barcarena市的26个地点收集了120个饮用水样本,par ??状态。通过电感耦合等离子体光发射光谱法分析多个元件。样品中的量化元素是Al,Ba,Fe和Pb。风险评估根据美国环境保护局(USEPA)程序进行。结果表明,对Al的非致癌不良健康效应的最高潜在风险是在S?£O JO?£O岛;对于BA,Fe和Pb(危险商(HQ)> 1)分别位于巴尔卡纳市和Distrito Industry社区的波尔图大棉花群体。地图显示,位于巴卡拉的工业综合体附近的地区是受水污染的最大影响。因此,由于大多数人口都居住在这些地区,这些群体具有更高的非致癌问题,特别是儿童和老年人的风险。地理空间分析有助于划定和分析该地区的风险变化趋势,将结果范围扩大到决策过程。

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