Determination of site-specific natural background values for soil potentially toxic elements supported by partial least squares regression method
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a new method using partial least squares regression (PLSR) to determine site-specific natural background values (NBVs) for soil potentially toxic elements (PTEs). The approach accurately identifies human impact and assesses ecological risk, improving environmental monitoring.
Area Of Science
- Environmental Science
- Soil Science
- Geochemistry
Background
- Natural background values (NBVs) are critical for assessing soil potentially toxic elements (PTEs).
- Determining site-specific NBVs is challenging due to pervasive anthropogenic influences.
- There is an urgent need for advanced methods to accurately establish NBVs at the site scale.
Purpose Of The Study
- To develop and validate a method for determining site-specific NBVs of soil PTEs.
- To accurately quantify anthropogenic inputs of PTEs in soils.
- To assess the ecological risk associated with PTEs in the study area.
Main Methods
- Collected 1330 surface soil samples from Jieyang for chemical analysis.
- Employed partial least squares regression (PLSR) to establish relationships between PTEs and soil chemical compositions.
- Generated 1330 site-specific NBVs for eight PTEs using the PLSR model.
Main Results
- The PLSR model demonstrated excellent predictive ability for site-specific NBVs.
- Calculated average anthropogenic input proportions for Zn, Cr, Cu, Hg, Cd, As, Ni, and Pb.
- Identified Hg and Cd as primary risk factors, with moderate overall ecological risk but specific sites requiring further investigation.
Conclusions
- The PLSR method effectively enhances the accuracy of NBV measurements for soil PTEs.
- Accurate point-to-point environmental assessment and identification of anthropogenic inputs are achievable.
- The study provides a robust framework for site-specific environmental risk assessment of soil contaminants.
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