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一种用于监测大规模空气传播污染影响的多代理磁方法。

A multi-proxy magnetic approach for monitoring large-scale airborne pollution impact.

机构信息

Research Group Soil Spatial Inventory Techniques, Department of Environment, Ghent University, Coupure Links 653, 9000 Ghent, Belgium; Laboratory of Environmental and Urban Ecology, Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium.

Laboratory of Environmental and Urban Ecology, Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium.

出版信息

Sci Total Environ. 2020 Nov 15;743:140718. doi: 10.1016/j.scitotenv.2020.140718. Epub 2020 Jul 10.

Abstract

The interpretive utility of environmental magnetic proxies for investigating airborne particulate matter (PM) pollution impact is restricted by differences in soil composition, land cover and land use. For soil magnetic applications, land use strongly influences magnetic particle distribution down the soil profile, even in homogeneous soil environments. Here, an adaptive approach is engineered to provide accurate magnetic proxy information for pollution monitoring across different land use types. In an 81-km area between two industrial harbours, the irregular distribution of forests, arable lands, pasture and residential areas prevented robustly relating topsoil magnetic susceptibility data to known pollution impacts. Although normalized topsoil susceptibility values showed improved potential for deriving airborne pollution impacts, optimal results were obtained by depth-integrating magnetic susceptibility logs, revealing long-term impacts of both active and decommissioned industrial facilities. Complementing soil magnetic observations, active and passive (bio)magnetic monitoring allowed discriminating short-term pollution patterns and evaluating changes in PM impact across the study area. Hereby, active PM receptors (strawberry leaves and plastic coated cardboards (PCCs)) provided promising results, yet passive receptors allowed estimating pollution impacts more efficiently. For the latter, species-independent grass leaf sampling reflected airborne PM depositional patterns most accurately, whereas wiped anthropogenic surfaces proved too sensitive to wash-off.

摘要

环境磁学指标在探测大气颗粒物 (PM) 污染影响方面的解释能力受到土壤成分、土地覆盖和土地利用差异的限制。对于土壤磁学应用,即使在同质土壤环境中,土地利用也会强烈影响磁性颗粒在土壤剖面上的分布。在这里,设计了一种自适应方法,以提供针对不同土地利用类型的污染监测的准确磁代理信息。在两个工业港口之间的 81 公里区域内,森林、耕地、牧场和居民区的不规则分布使得难以将表土磁化率数据与已知的污染影响建立可靠联系。尽管归一化表土磁化率值显示出了从空气污染影响中得出的潜力,但通过对磁化率测井进行深度积分,获得了最佳结果,揭示了现役和退役工业设施的长期影响。作为土壤磁学观测的补充,主动和被动(生物)磁监测能够区分短期污染模式,并评估研究区域内 PM 影响的变化。在此,主动 PM 受体(草莓叶片和塑料涂层的卡片(PCC))提供了有希望的结果,然而,被动受体允许更有效地估计污染影响。对于后者,独立于物种的草叶采样最准确地反映了大气 PM 的沉积模式,而擦拭的人为表面则过于敏感而无法洗脱。

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