Analyzing Long-Term Land Use/Cover Change (LUCC) and PM 10 Levels in Coastal Urbanization: The Crucial Influence of Policy Interventions

Xue Li, Haihong He, Lizhen Wu, Junfang Chang, Yichen Qin, Chunli Liu, Rui Liu, Mingxin Yao and Wenli Qiao ()
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Xue Li: School of Electronic Engineering, Jiangsu Ocean University, Lianyungang 222005, China
Haihong He: School of Electronic Engineering, Jiangsu Ocean University, Lianyungang 222005, China
Lizhen Wu: Lianyungang Sea Area Use Protection Dynamic Management Center, Lianyungang 222002, China
Junfang Chang: East China Sea Forecasting and Disaster Reduction Center of the Ministry of Natural Resources, Shanghai 200136, China
Yichen Qin: School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, China
Chunli Liu: Marine College, Shandong University, Weihai 264209, China
Rui Liu: School of Ocean Engineering, Jiangsu Ocean University, Lianyungang 222005, China
Mingxin Yao: School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, China
Wenli Qiao: Jiangsu Institute of Marine Resources Development, Jiangsu Ocean University, Lianyungang 222005, China

Sustainability, 2025, vol. 17, issue 6, 1-21

Abstract: With the rapid acceleration of global urbanization, the impact of land use/cover change (LUCC) on the environment and ecosystems has become increasingly prominent, particularly in terms of air quality, which has emerged as a significant issue demanding attention. Focusing on the coastal city of Lianyungang, the spatiotemporal dynamics of land use/cover changes were explored by utilizing land use dynamic degree and land use transfer matrix methods. By integrating a comprehensive historical dataset, multiple linear regression analysis was used to analyze the driving mechanism of land use conversion and to explore the effect of LUCC on the variations in PM 10 levels. The results showed an overall decreasing trend in PM 10 levels over the 24-year period from 2000 to 2023, with distinct seasonal fluctuations, showing higher concentrations in winter and lower concentrations in summer. The impact of land use on PM 10 variations can be categorized into three stages: initial (2000–2006), transitional (2007–2013), and deepening development (2014–2022). Notably, during the third stage, with the involvement of policy interventions and industrial upgrading, a strong negative correlation of −0.97 was identified between urban land expansion and the decrease in PM 10 levels. The correlation between LUCC and PM 10 levels was insignificant over shorter periods, but the analysis of data from 2000 to 2022 revealed a significant positive correlation of 0.77, emphasizing the importance of adopting a long-term perspective to accurately assess the impact of LUCC on air quality. This research provides valuable insights into the implications of LUCC on air quality during urbanization and establishes a scientific foundation for developing air pollution management strategies in Lianyungang and similar regions.

Keywords: LUCC; coastal urbanization; spatiotemporal dynamics; PM 10; policy interventions (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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