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Urban Land Carbon Emission and Carbon Emission Intensity Prediction Based on Patch-Generating Land Use Simulation Model and Grid with Multiple Scenarios in Tianjin

Author

Listed:
  • Xiang Li

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Zhaoshun Liu

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Shujie Li

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Yingxue Li

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Weiyu Wang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

Abstract

With regard to the aims of achieving the “Dual Carbon” goal and addressing the significant greenhouse gas emissions caused by urban expansion, there has been a growing emphasis on spatial research and the prediction of urban carbon emissions. This article examines land use data from 2000 to 2020 and combines Grid and the PLUS model to predict carbon emissions in 2030 through a multi-scenario simulation. The research findings indicate the following: (1) Between 2000 and 2020, construction land increased by 95.83%, with carbon emissions also increasing. (2) By 2030, for the NDS (natural development scenario), carbon emissions are expected to peak at 6012.87 × 10 4 t. Regarding the ratio obtained through the EDS (economic development scenario), construction land is projected to grow to 3990.72 km 2 , with expected emissions of 6863.29 × 10 4 t. For the LCS (low-carbon scenario), the “carbon peak” is expected to be reached before 2030. (3) The intensity of carbon emissions decreases as the city size increases. (4) The shift of the center of carbon emission intensity and the center of construction land all indicate movement towards the southeast. Studying the trends of regional land use change and the patterns of land use carbon emissions is beneficial for optimizing the land use structure, thereby enabling us to achieve low-carbon emission reductions and sustainable urban development.

Suggested Citation

  • Xiang Li & Zhaoshun Liu & Shujie Li & Yingxue Li & Weiyu Wang, 2023. "Urban Land Carbon Emission and Carbon Emission Intensity Prediction Based on Patch-Generating Land Use Simulation Model and Grid with Multiple Scenarios in Tianjin," Land, MDPI, vol. 12(12), pages 1-22, December.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:12:p:2160-:d:1299164
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    References listed on IDEAS

    as
    1. Luo, Haizhi & Li, Yingyue & Gao, Xinyu & Meng, Xiangzhao & Yang, Xiaohu & Yan, Jinyue, 2023. "Carbon emission prediction model of prefecture-level administrative region: A land-use-based case study of Xi'an city, China," Applied Energy, Elsevier, vol. 348(C).
    2. Zhaosu Meng & Huan Wang & Baona Wang, 2018. "Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China," IJERPH, MDPI, vol. 15(11), pages 1-15, November.
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