Compositional mapping, uncertainty assessment, and source apportionment via pollution assessment-based receptor models in urban and peri-urban agricultural soils

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F23%3A97376" target="_blank" >RIV/60460709:41210/23:97376 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/article/10.1007/s11368-022-03417-3" target="_blank" >https://link.springer.com/article/10.1007/s11368-022-03417-3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11368-022-03417-3" target="_blank" >10.1007/s11368-022-03417-3</a>

Result language

angličtina

Original language name

Compositional mapping, uncertainty assessment, and source apportionment via pollution assessment-based receptor models in urban and peri-urban agricultural soils

Original language description

Purpose: Healthy soil and the environment rely on practical risk assessment, controls to improve environmental performance, and the efficient application of receptor models. The primary focus of the study is to evaluate multiple receptor models used to estimate source distribution. Methods: This study collected 115 soil samples from the Frydek Mistek district of Czech Republic. Potentially toxic element (PTE) (Pb, As, Cr, Cd, Ni, Mn, Cu, and Zn) concentrations were measured using inductively coupled plasma optical emission spectrometry. Pollution indices like pollution index, ecological risk, geoaccumulation index, and enrichment factor were hybridized with positive matrix factorization (PMF) to create pollution index-PMF (PI-PMF), ecological risk-PMF (ER-PMF), geoaccumulation index-PMF (IGEO-PMF), and enrichment factor-PMF (EF-PMF). ABC composite mapping technique was used to visualize and determine the interaction between PTEs. Results: The use of composite mapping multimaps with varying color patterns aided in identifying and establishing the source relationship between PTEs. Pollution assessment-based receptor models (PAB-RMs) revealed that the EF-PMF outperformed the PI-PMF, ER-PMF, IGEO-PMF, and PMF receptor models. EF-PMF outperformed other receptor models in model assessments such as coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE). The hybridized receptor models performed better in terms of error reduction, as the PAB-RMs’ reduction of DISP (displacement) intervals ratio showed smaller intervals than the parent model. Conclusion: The combination of PMF and pollution assessment indices yielded positive results. By optimizing efficiency and reducing error, the current study provides a more reliable receptor model for estimating source distribution.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

40104 - Soil science

Project

<a href="/en/project/EF16_019%2F0000845" target="_blank" >EF16_019/0000845: Centre for investigation of synthesis and transformation of nutritional substances in the food chain in interaction with potentially harmful substances of athropogenic origin: assessment of contamination risks for the quality of production</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

JOURNAL OF SOILS AND SEDIMENTS

ISSN

1439-0108

e-ISSN

1439-0108

Volume of the periodical

23

Issue of the periodical within the volume

3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

22

Pages from-to

1451-1472

UT code for WoS article

000905881200001

EID of the result in the Scopus database

2-s2.0-85145058779