Integrated Deterministic and Probabilistic Methods Reveal Heavy Metal-Induced Health Risks in Guizhou, China

Due to high geological background and intensive mining activities, soils are prone to heavy metals (HMs) accumulation and ecological fragility in Guizhou Province, China. A total of 740 topsoil samples were therefore collected, and aimed to determine the concentrations of As, Cd, Cr, Hg, and Pb, est...

Full description

Saved in:
Bibliographic Details
Main Authors: Qinju Li, Dashuan Li, Zelan Wang, Dali Sun, Ting Zhang, Qinghai Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Toxics
Subjects:
Online Access:https://www.mdpi.com/2305-6304/13/6/515
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850165200106291200
author Qinju Li
Dashuan Li
Zelan Wang
Dali Sun
Ting Zhang
Qinghai Zhang
author_facet Qinju Li
Dashuan Li
Zelan Wang
Dali Sun
Ting Zhang
Qinghai Zhang
author_sort Qinju Li
collection DOAJ
description Due to high geological background and intensive mining activities, soils are prone to heavy metals (HMs) accumulation and ecological fragility in Guizhou Province, China. A total of 740 topsoil samples were therefore collected, and aimed to determine the concentrations of As, Cd, Cr, Hg, and Pb, estimate the ecological pollution, and evaluate the carcinogenic and non-carcinogenic health risks to humans. Results showed As (1.08%) and Cd (24.46%) in soil exceeded standards. The Igeo showed that Cr (1.49%) and Hg (31.62%) in soil were at light pollution levels; single factor pollution index (PI) showed that Cd (21.35%) in soil was mildly polluted; risk index (RI) as at a low risk level. Notably, both deterministic and Monte Carlo analyses revealed unacceptable carcinogenic risks for As and Cr in children, with traditional methods potentially underestimating As risks. Moreover, Target-Organ Toxicity Dose (TTD) revealed soil HMs as a higher risk to hematological health, with notable health risks posed by Pb in children. It is noted that spatial distribution analysis suggested that the southwestern region of Guizhou Province should be prioritized for health risk management and control. By integrating the uniqueness of geological environments, multi-dimensional health risk assessments, and spatial distributions, the present study provides a scientific basis for assessing HMs pollution risks and soil health risks in the karst regions.
format Article
id doaj-art-32f4dc33006c48abaadce11800bfb369
institution OA Journals
issn 2305-6304
language English
publishDate 2025-06-01
publisher MDPI AG
record_format Article
series Toxics
spelling doaj-art-32f4dc33006c48abaadce11800bfb3692025-08-20T02:21:49ZengMDPI AGToxics2305-63042025-06-0113651510.3390/toxics13060515Integrated Deterministic and Probabilistic Methods Reveal Heavy Metal-Induced Health Risks in Guizhou, ChinaQinju Li0Dashuan Li1Zelan Wang2Dali Sun3Ting Zhang4Qinghai Zhang5School of Public Health, Guizhou Medical University, Guiyang 561113, ChinaSchool of Public Health, Guizhou Medical University, Guiyang 561113, ChinaSchool of Public Health, Guizhou Medical University, Guiyang 561113, ChinaSchool of Public Health, Guizhou Medical University, Guiyang 561113, ChinaSchool of Public Health, Guizhou Medical University, Guiyang 561113, ChinaSchool of Public Health, Guizhou Medical University, Guiyang 561113, ChinaDue to high geological background and intensive mining activities, soils are prone to heavy metals (HMs) accumulation and ecological fragility in Guizhou Province, China. A total of 740 topsoil samples were therefore collected, and aimed to determine the concentrations of As, Cd, Cr, Hg, and Pb, estimate the ecological pollution, and evaluate the carcinogenic and non-carcinogenic health risks to humans. Results showed As (1.08%) and Cd (24.46%) in soil exceeded standards. The Igeo showed that Cr (1.49%) and Hg (31.62%) in soil were at light pollution levels; single factor pollution index (PI) showed that Cd (21.35%) in soil was mildly polluted; risk index (RI) as at a low risk level. Notably, both deterministic and Monte Carlo analyses revealed unacceptable carcinogenic risks for As and Cr in children, with traditional methods potentially underestimating As risks. Moreover, Target-Organ Toxicity Dose (TTD) revealed soil HMs as a higher risk to hematological health, with notable health risks posed by Pb in children. It is noted that spatial distribution analysis suggested that the southwestern region of Guizhou Province should be prioritized for health risk management and control. By integrating the uniqueness of geological environments, multi-dimensional health risk assessments, and spatial distributions, the present study provides a scientific basis for assessing HMs pollution risks and soil health risks in the karst regions.https://www.mdpi.com/2305-6304/13/6/515heavy metalsagricultural soilhealth risk assessmentstarget organ toxic dose method
spellingShingle Qinju Li
Dashuan Li
Zelan Wang
Dali Sun
Ting Zhang
Qinghai Zhang
Integrated Deterministic and Probabilistic Methods Reveal Heavy Metal-Induced Health Risks in Guizhou, China
Toxics
heavy metals
agricultural soil
health risk assessments
target organ toxic dose method
title Integrated Deterministic and Probabilistic Methods Reveal Heavy Metal-Induced Health Risks in Guizhou, China
title_full Integrated Deterministic and Probabilistic Methods Reveal Heavy Metal-Induced Health Risks in Guizhou, China
title_fullStr Integrated Deterministic and Probabilistic Methods Reveal Heavy Metal-Induced Health Risks in Guizhou, China
title_full_unstemmed Integrated Deterministic and Probabilistic Methods Reveal Heavy Metal-Induced Health Risks in Guizhou, China
title_short Integrated Deterministic and Probabilistic Methods Reveal Heavy Metal-Induced Health Risks in Guizhou, China
title_sort integrated deterministic and probabilistic methods reveal heavy metal induced health risks in guizhou china
topic heavy metals
agricultural soil
health risk assessments
target organ toxic dose method
url https://www.mdpi.com/2305-6304/13/6/515
work_keys_str_mv AT qinjuli integrateddeterministicandprobabilisticmethodsrevealheavymetalinducedhealthrisksinguizhouchina
AT dashuanli integrateddeterministicandprobabilisticmethodsrevealheavymetalinducedhealthrisksinguizhouchina
AT zelanwang integrateddeterministicandprobabilisticmethodsrevealheavymetalinducedhealthrisksinguizhouchina
AT dalisun integrateddeterministicandprobabilisticmethodsrevealheavymetalinducedhealthrisksinguizhouchina
AT tingzhang integrateddeterministicandprobabilisticmethodsrevealheavymetalinducedhealthrisksinguizhouchina
AT qinghaizhang integrateddeterministicandprobabilisticmethodsrevealheavymetalinducedhealthrisksinguizhouchina