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首页> 外文期刊>Environmental Monitoring and Assessment >Magnetic mapping of fly-ash pollution and heavy metals from soil samples around a point source in a dry tropical environment
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Magnetic mapping of fly-ash pollution and heavy metals from soil samples around a point source in a dry tropical environment

机译:干燥热带环境中点源周围土壤样品中飞灰污染和重金属的磁图

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The Singrauli region in the southeastern part of Uttar Pradesh, India is one of the most polluted industrial sites of Asia. It encompasses 11 open cast coalmines and six thermal power stations that generate about 7,500 MW (about 10% of India's installed generation capacity) electricity. Thermal power plants represent the main source of pollution in this region, emitting six million tonnes of fly-ash per annum. Fly-ash is deposited on soils over a large area surrounding thermal power plants. Fly-ashes have high surface concentrations of several toxic elements (heavy metals) and high atmospheric mobility. Fly ash is produced through high-temperature combustion of fossil fuel rich in ferromagnetic minerals. These contaminants can be identified using rock-magnetic methods. Magnetic susceptibility is directly linked to the concentration of ferromagnetic minerals, primarily high values of magnetite. In this study, magnetic susceptibility of top soil samples collected from surrounding areas of a bituminous-coal-fired power plant were measured to identify areas of high emission levels and to chart the spatial distribution of airborne solid particles. Sites close to the power plant have shown higher values of susceptibility that decreases with increasing distance from the source. A significant correlation between magnetic susceptibility and heavy metal content in soils is found. A comparison of the spatial distribution of magnetic susceptibility with heavy-metal concentrations in soil samples suggests that magnetic measurements can be used as a rapid and inexpensive method for proxy mapping of air borne pollution due to industrial activity.
机译:印度北方邦东南部的辛格劳里地区是亚洲污染最严重的工业区之一。它包含11个露天煤矿和6个热电厂,它们发电约7500兆瓦(约占印度已安装发电量的10%)。火力发电厂是该地区的主要污染源,每年排放六百万吨粉煤灰。粉煤灰沉积在火力发电厂周围大面积的土壤上。粉煤灰具有多种有毒元素(重金属)的高表面浓度和高大气迁移率。粉煤灰是通过高温燃烧富含铁磁性矿物的化石燃料而产生的。这些污染物可以使用岩磁方法进行识别。磁化率与铁磁性矿物的浓度直接相关,主要是高含量的磁铁矿。在这项研究中,对从烟煤发电厂周围地区收集的表层土壤样品的磁化率进行了测量,以识别高排放水平的区域并绘制空气中固体颗粒的空间分布图。靠近发电厂的站点显示出较高的磁化率值,该磁化率值与电源的距离越远,磁化率就越高。发现土壤的磁化率与重金属含量之间存在显着的相关性。将土壤样品中磁化率与重金属浓度的空间分布进行比较,结果表明,磁测量可以用作工业活动引起的空气传播污染的代标制图的快速,廉价方法。

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