2023
DOI: 10.3390/land12122160
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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

Xiang Li,
Zhaoshun Liu,
Shujie Li
et al.

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 95.8… Show more

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Cited by 9 publications
(2 citation statements)
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“…Direct carbon emissions can be directly calculated using carbon emission coefficients. The calculation formula is as follows [17]:…”
Section: Calculation Of Land Use Carbon Emissionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Direct carbon emissions can be directly calculated using carbon emission coefficients. The calculation formula is as follows [17]:…”
Section: Calculation Of Land Use Carbon Emissionsmentioning
confidence: 99%
“…Zhao et al [16] conducted calculations on the spatiotemporal distribution of carbon emissions in the Shandong Peninsula urban agglomeration based on LUCC data and characterized the spatial autocorrelation of LUCE at the urban level using Moran's I index. Li et al [17] utilized a carbon emission model to analyze the intensity zoning of LUCE in Tianjin City, uncovering a positive correlation between the expansion of construction land and the variation in LUCE intensity. Zhang et al [18] conducted carbon emission accounting at the township level to explore the spatial patterns of carbon emissions at a micro-scale level, aiming to assist cities in implementing refined governance.…”
Section: Introductionmentioning
confidence: 99%