IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i6p2393-d1608414.html
   My bibliography  Save this article

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

Author

Listed:
  • Xue Li

    (School of Electronic Engineering, Jiangsu Ocean University, Lianyungang 222005, China
    Jiangsu Institute of Marine Resources Development, Jiangsu Ocean University, Lianyungang 222005, China
    The State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, 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
    The State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
    School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, China)

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.

Suggested Citation

  • Xue Li & Haihong He & Lizhen Wu & Junfang Chang & Yichen Qin & Chunli Liu & Rui Liu & Mingxin Yao & Wenli Qiao, 2025. "Analyzing Long-Term Land Use/Cover Change (LUCC) and PM 10 Levels in Coastal Urbanization: The Crucial Influence of Policy Interventions," Sustainability, MDPI, vol. 17(6), pages 1-21, March.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2393-:d:1608414
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/6/2393/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/6/2393/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chia-An Ku, 2020. "Exploring the Spatial and Temporal Relationship between Air Quality and Urban Land-Use Patterns Based on an Integrated Method," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    2. Zhao-Yue Chen & Hervé Petetin & Raúl Fernando Méndez Turrubiates & Hicham Achebak & Carlos Pérez García-Pando & Joan Ballester, 2024. "Population exposure to multiple air pollutants and its compound episodes in Europe," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cuixia Yan & Lucang Wang & Qing Zhang, 2021. "Study on Coupled Relationship between Urban Air Quality and Land Use in Lanzhou, China," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    2. Batara Surya & Hamsina Hamsina & Ridwan Ridwan & Baharuddin Baharuddin & Firman Menne & Andi Tenri Fitriyah & Emil Salim Rasyidi, 2020. "The Complexity of Space Utilization and Environmental Pollution Control in the Main Corridor of Makassar City, South Sulawesi, Indonesia," Sustainability, MDPI, vol. 12(21), pages 1-41, November.
    3. Sun, Jianing & Zhou, Tao & Wang, Di, 2022. "Relationships between urban form and air quality: A reconsideration based on evidence from China’s five urban agglomerations during the COVID-19 pandemic," Land Use Policy, Elsevier, vol. 118(C).
    4. Seyedehmehrmanzar Sohrab & Nándor Csikós & Péter Szilassi, 2024. "Landscape Metrics as Ecological Indicators for PM 10 Prediction in European Cities," Land, MDPI, vol. 13(12), pages 1-24, December.
    5. Lan Song & Zhiji Huang, 2022. "Exploring the Effects of Industrial Land Transfer on Urban Air Quality Using a Geographically and Temporally Weighted Regression Model," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    6. Xinyang Yu & Younggu Her & Xicun Zhu & Changhe Lu & Xuefei Li, 2021. "Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index," Sustainability, MDPI, vol. 13(9), pages 1-15, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2393-:d:1608414. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.