Literature DB >> 20000849

Factorial Kriging Analysis as a tool for explaining the complex spatial distribution of metals in sediments.

Claire Alary1, Hélène Demougeot-Renard.   

Abstract

Rivers flowing through urbanized and industrial areas are usually greatly damaged by anthropogenic activities discharging contaminants. Characterizing the spatial distribution of pollutants in sediments is of high importance for selecting a suitable remediation operation, but is a complex task because this spatial variability is the result of various physical and chemical mechanisms occurring at different scales. Factorial Kriging Analysis (FKA) was applied on data collected in a canalized river (Scarpe, France) for that purpose, because this geostatistical technique allows to decompose a given variable into components of different spatial correlations and map them separately. This decomposition is meaningful provided that it can be related to physical phenomena occurring at the identified spatial scales. FKA applied to Cd and Zn concentrations in sediments of the Scarpe river proved to be effective, allowing their mapping to be decomposed in a first map related to a short-range spatial correlation corresponding to hot spots interpreted as the impact of industrial and urban inputs located along the canal, and a second map related to a long-range spatial variability associated with long pollutant plumes interpreted as the effect of one major upstream pollutant input.

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Year:  2010        PMID: 20000849     DOI: 10.1021/es9022305

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

1.  Two-dimensional empirical mode decomposition of heavy metal spatial variation in agricultural soils, Southeast China.

Authors:  Chunfa Wu; Jingyi Huang; Budiman Minasny; Hao Zhu
Journal:  Environ Sci Pollut Res Int       Date:  2017-02-04       Impact factor: 4.223

2.  Assessing the Variability of Heavy Metal Concentrations in Liquid-Solid Two-Phase and Related Environmental Risks in the Weihe River of Shaanxi Province, China.

Authors:  Jinxi Song; Xiaogang Yang; Junlong Zhang; Yongqing Long; Yan Zhang; Taifan Zhang
Journal:  Int J Environ Res Public Health       Date:  2015-07-17       Impact factor: 3.390

  2 in total

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