Uncertainty Evaluation of Soil Heavy Metal(loid) Pollution and Health Risk in Hunan Province: A Geographic Detector with Monte Carlo Simulation

Baoyi Zhang, Yingcai Su, Syed Yasir Ali Shah, Lifang Wang, Jeongim Park · 2023

Read Uncertainty Evaluation of Soil Heavy Metal(loid) Pollution and Health Risk in Hunan Province: A Geographic Detector with Monte Carlo Simulation by Baoyi Zhang, Yingcai Su, Syed Yasir Ali Shah, Lifang Wang, Jeongim Park (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10747857.txt.

Description

Baoyi Zhang and co-authors map metal pollution in farm soils across Hunan Province, China, in a 2023 study that also grades its own doubt. Past work on soil metals and health risk rarely checks how much the answers wobble with sampling spots, model choices, and border lines between classes.

The team combined a pollution index, a health risk model, and a factor-hunting method, then re-ran the work many times with shuffled inputs to measure the wobble. Two cities stood out with high pollution and low doubt. Arsenic and chromium drove most of the health risk. Rock type played a strong role, often in nonlinear mixes with other factors. Some inputs, like temperature and river distance, carried high doubt of their own.

Catalog record

CREATORBaoyi Zhang, Yingcai Su, Syed Yasir Ali Shah, Lifang Wang, Jeongim Park
YEAR2023
COLLECTIONPAPERS
FORMATTXT
FILE SIZE49 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC10747857

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