Literature DB >> 19009428

Chemometric characterization of soil and plant pollution: Part 1: Multivariate data analysis and geostatistical determination of relationship and spatial structure of inorganic contaminants in soil.

M Zupan1, J W Einax, J Kraft, F Lobnik, V Hudnik.   

Abstract

Geostatistical and multivariate methods of data analysis are used to describe patterns of soil pollution with inorganic contaminants in Celje County, Slovenia. Groups of contaminants and polluted sites were identified using cluster analysis and confirmed with multidimensional variance and discriminant analysis. Factor analysis yields an identification of not directly observable relationships between the contaminants. The spatial structure and distribution of contaminants were assessed by applying semivariogram analysis and kriging interpolation method. Zinc, Cd and Cu were identified as a pollutant emitted from the zinc smelter, Pb also from other sources, and Cr and Ni mostly from geological parent material.

Entities:  

Year:  2000        PMID: 19009428     DOI: 10.1065/espr199910.008

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

1.  Pollution assessment of heavy metal accumulation in the farmland soils of Beijing's suburbs.

Authors:  Jianmei Zou; Xiaoxiao Liu; Wei Dai; Yaning Luan
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-25       Impact factor: 4.223

2.  Soil quality assessment using GIS-based chemometric approach and pollution indices: Nakhlak mining district, Central Iran.

Authors:  Farid Moore; Vahideh Sheykhi; Mohammad Salari; Adel Bagheri
Journal:  Environ Monit Assess       Date:  2016-03-08       Impact factor: 2.513

  2 in total

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