TY - JOUR
T1 - Characterizing soil COPs eco-risk in China
AU - Li, Yan
AU - Huang, Haoran
AU - Li, Ye
AU - Ye, Zi
AU - Li, Xiang
AU - Liu, Ke
AU - Liu, Min
AU - Liu, Lei
AU - Jiang, Jiang
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/6/5
Y1 - 2025/6/5
N2 - Although soil combustible organic pollutants (COPs) pose a serious threat to human well-being, their spatial distribution patterns, responses to environmental constraints, and areas of risk throughout China are still unclear. This knowledge gap hinders the control of soil COPs, causing us to overlook their impact on climate change and the environment. In this study, a total of 420 soil samples, distributed in typical regions of China, were tested for COPs content, including black carbon (BC) and polycyclic aromatic hydrocarbons (PAHs). Interest points (POI) such as parking lots, gas stations, and car services have become the main factors that influence soil COPs enrichment, and can be considered new indicators in other organic pollution studies. By comparing various machine learning simulations and predictions, this study accurately predicted the content of soil COPs in China and pointed out that, as the "third pole of the world", the Qinghai Tibet Plateau will face an unprecedented crisis. We established a method for assessing the comprehensive risk of soil COPs and identified at-risk areas, which accounted for 38.9 % of China's total soil area. Our research findings emphasize the main driving factors for soil COPs and identify areas in China that require prioritized soil COPs control.
AB - Although soil combustible organic pollutants (COPs) pose a serious threat to human well-being, their spatial distribution patterns, responses to environmental constraints, and areas of risk throughout China are still unclear. This knowledge gap hinders the control of soil COPs, causing us to overlook their impact on climate change and the environment. In this study, a total of 420 soil samples, distributed in typical regions of China, were tested for COPs content, including black carbon (BC) and polycyclic aromatic hydrocarbons (PAHs). Interest points (POI) such as parking lots, gas stations, and car services have become the main factors that influence soil COPs enrichment, and can be considered new indicators in other organic pollution studies. By comparing various machine learning simulations and predictions, this study accurately predicted the content of soil COPs in China and pointed out that, as the "third pole of the world", the Qinghai Tibet Plateau will face an unprecedented crisis. We established a method for assessing the comprehensive risk of soil COPs and identified at-risk areas, which accounted for 38.9 % of China's total soil area. Our research findings emphasize the main driving factors for soil COPs and identify areas in China that require prioritized soil COPs control.
KW - Combustible organic pollutants
KW - Driving mechanism
KW - Machine learning
KW - Risk identification
KW - Soils
UR - https://www.scopus.com/pages/publications/85217971037
U2 - 10.1016/j.jhazmat.2025.137588
DO - 10.1016/j.jhazmat.2025.137588
M3 - 文章
C2 - 39954439
AN - SCOPUS:85217971037
SN - 0304-3894
VL - 489
JO - Journal of Hazardous Materials
JF - Journal of Hazardous Materials
M1 - 137588
ER -