A spatial distribution – Principal component analysis (SD-PCA) model to assess pollution of heavy metals in soil-Reference-Cited by-同舟云学术

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A spatial distribution – Principal component analysis (SD-PCA) model to assess pollution of heavy metals in soil

Published:2023-02 Issue: Volume:859 Page:160112
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Liu Jiawei,Kang Hou,Tao Wendong,Li Hanyu,He Dan,Ma Lixia,Tang Haojie,Wu Siqi,Yang Kexin,Li Xuxiang

Funder

National Natural Science Foundation of China

Shaanxi Provincial Science and Technology Department

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference62 articles.

1. Heavy metals from non-exhaust vehicle emissions in urban and motorway road dusts;Adamiec;Environ. Monit. Assess.,2016

2. Environmental chemistry and ecotoxicology of hazardous heavy metals: environmental persistence, toxicity, and bioaccumulation;Ali;J. Chem.,2019

3. Effect of sewage sludge on metal content of grassland soil and herbage in semiarid lands;Arvas;Turk. J. Agric. For.,2013

4. Pearson correlation coefficient;Benesty,2009

5. Monitoring metal pollution in soils using portable-XRF and conventional laboratory based techniques: evaluation of the performance and limitations according to metal properties and sources;Caporale;Sci. Total Environ.,2018

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