Petrochemical Risk Assessment in Coastal China and Implications for Land-Use Dynamics

Land-use change and its interaction with petrochemical accident risk are critical for sustainable coastal development. This study established a multi-source data-integrated risk assessment framework, employing fuzzy C-means clustering to stratify petrochemical accident risk into six distinct levels. The analysis revealed the relationship between these risk levels and land-use type changes. Furthermore, the Takagi–Sugeno fuzzy dynamic model was applied to evaluate potential risks at representative coastal petrochemical enterprises. The findings were as follows: (1) Risk concentrates in small-to-medium private, newly established firms, primarily as explosion accidents. (2) The highest risk occurs in Bohai Bay, followed by Jiangsu, Zhejiang, and Guangdong; national policies have reduced affected zones from 352.61 km2 (2019) to 43.67 km2 (2022). (3) The total potential risk zone spans 2986.21 km2, with high-risk cores in Hebei, Zhejiang, and Fujian (36.52%) and medium-risk in Shandong Peninsula (32.01%). (4) Risk primarily affects farmland and construction land; urban expansion has increased affected built-up areas from 16.36% (2012) to 47.02% (2022), shifting effects from ecological to combined socio-ecological consequences. These findings provide critical theoretical support and actionable management recommendations for integrating coastal land-use planning, urban expansion control, and coordinated petrochemical risk governance.

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Publication Details

Journal
Land
Published
2025-09-05
DOI
https://doi.org/10.3390/land14091811
Primary Topic
Environmental and Social Impact Assessments
Type
article
Field-Weighted Citation Impact
0.00

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article

Petrochemical Risk Assessment in Coastal China and Implications for Land-Use Dynamics

Yahui Liang, Qiaoqiao Lin, Andong Guo, Xue Luo et al.
Land
Environmental and Social Impact Assessments
article

Petrochemical Risk Assessment in Coastal China and Implications for Land-Use Dynamics

Yahui Liang, Qiaoqiao Lin, Andong Guo, Xue Luo, Zun Liu
article en

Abstract

Land-use change and its interaction with petrochemical accident risk are critical for sustainable coastal development. This study established a multi-source data-integrated risk assessment framework, employing fuzzy C-means clustering to stratify petrochemical accident risk into six distinct levels. The analysis revealed the relationship between these risk levels and land-use type changes. Furthermore, the Takagi–Sugeno fuzzy dynamic model was applied to evaluate potential risks at representative coastal petrochemical enterprises. The findings were as follows: (1) Risk concentrates in small-to-medium private, newly established firms, primarily as explosion accidents. (2) The highest risk occurs in Bohai Bay, followed by Jiangsu, Zhejiang, and Guangdong; national policies have reduced affected zones from 352.61 km2 (2019) to 43.67 km2 (2022). (3) The total potential risk zone spans 2986.21 km2, with high-risk cores in Hebei, Zhejiang, and Fujian (36.52%) and medium-risk in Shandong Peninsula (32.01%). (4) Risk primarily affects farmland and construction land; urban expansion has increased affected built-up areas from 16.36% (2012) to 47.02% (2022), shifting effects from ecological to combined socio-ecological consequences. These findings provide critical theoretical support and actionable management recommendations for integrating coastal land-use planning, urban expansion control, and coordinated petrochemical risk governance.

LandVol. 14(9)
China University of Mining and Technology (CN), China National Environmental Monitoring Center (CN), Dalian Maritime University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 67%
Environmental and Social Impact Assessments
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