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一种将卫星植被活动观测与磁化率测量相结合的方法,用于监测土壤中的重金属。

A method for the integration of satellite vegetation activities observations and magnetic susceptibility measurements for monitoring heavy metals in soil.

机构信息

Istituto di Metodologie per l'Analisi Ambientale (IMAA)/CNR, C.da S.Loja, 85050 Tito Scalo, Potenza, Italy.

出版信息

J Hazard Mater. 2012 Nov 30;241-242:118-26. doi: 10.1016/j.jhazmat.2012.09.021. Epub 2012 Sep 21.

Abstract

We present a procedure for monitoring heavy metals in soil based on the integration of satellite and ground-based techniques, tested in an area affected by high anthropogenic pressure. High resolution multispectral satellite data were elaborated to obtain information on vegetation status. Magnetic susceptibility measurements of soils were collected as proxy variable for monitoring heavy metal presence. Chemical analyses of heavy metals were used for supporting and validating the integrated monitoring procedure. Magnetic and chemical measurements were organized in a GIS environment to be overlapped to satellite-based elaborations and to analyze the pattern distribution. Results show the presence of correlation between anomalies in vegetation activity and soil characteristics. The relationship between the distribution of normalized difference vegetation index anomalies and magnetic susceptibility values provides hints for adopting the integrated procedure as preliminary screening to minimize monitoring efforts and costs by supporting the planning activities of field campaigns.

摘要

我们提出了一种基于卫星和地面技术集成的土壤重金属监测方法,在受高强度人为压力影响的地区进行了测试。我们利用高分辨率多光谱卫星数据来获取有关植被状况的信息。我们还采集了土壤磁化率测量值作为监测重金属存在的代理变量。我们使用重金属的化学分析来支持和验证综合监测程序。我们将磁性和化学测量值组织在 GIS 环境中,以便与基于卫星的研究成果进行重叠,并分析其分布模式。结果表明,植被活动异常与土壤特性之间存在相关性。归一化植被指数异常分布与磁化率值之间的关系为采用综合程序提供了线索,该程序可作为初步筛选方法,通过支持野外考察活动的规划,来减少监测工作和成本。

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