Risk assessment of haze disaster in the Liaoning region based on ArcGIS and principal component analysis

• Published in: Ecological indicators Vol. 168; p. 112757
• Main Authors: Kejin, Ren, Jinhu, Wang, Hang, Su, Zhongyan, Lu, Jinglong, Lu, Yihe, Fang, Yuyao, Wang
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-11-2024; Elsevier
• Subjects: Haze disaster; Influence factors; Principal component analysis; Risk assessment; Urban pollution; Haze disaster; Urban pollution; Influence factors; Risk assessment; Principal component analysis
• ISSN: 1470-160X
• DOI: 10.1016/j.ecolind.2024.112757

•The principal component analysis method, in conjunction with GIS technology for multi-source information processing and analysis, allows for the generation of conclusions that are both intuitive and accurate, while also enhancing the substance of the research content.•Utilize ArcGIS analysis to investigate the factors influencing haze formation, elucidating the temporal and spatial distribution patterns of haze, the characteristics of seasonal change, and the interrelationship between haze and meteorological variables.•The influence factor of haze is employed in the construction of the assessment index system for haze disasters, thereby rendering the assessment index system for haze disasters more comprehensive, intuitive, and accessible to readers.
In light of the accelerated growth of urban economies, haze weather has become increasingly prevalent. Consequently, assessing haze disasters represents a crucial strategy for mitigating associated risks. This study employs ArcGIS to investigate the factors influencing haze formation in the Liaoning region. The temporal and spatial distributions of haze, seasonal changes in haze patterns, and the interrelationship between haze and meteorological conditions are elucidated. Principal component analysis was employed to identify 12 haze risk assessment indicators from three domains: the sensitivity of the disaster-bearing environment, the hazardousness of haze components, and the vulnerability of the disaster-bearing body. These indicators were utilized to assess the haze disaster risk of the cities in the Liaoning region. The results indicate that Shenyang and Dalian are at the most significant risk of experiencing a haze disaster and are considered highly high-risk areas for haze. The economic density, energy consumption, housing construction area, number of motor vehicles, and urban road area of the region are the primary constituent factors of haze risk. The distribution of haze disaster risk is characterized by a high risk in plain areas and a low risk in mountainous and hilly areas, which is related to the industrial structure of each topographic area. The research results can provide a scientific basis for the development of haze prevention and control measures in the Liaoning region.