Temporal analysis of land use transformation and carbon emission patterns in Shanghai from 2000 to 2020

Jianwen Zheng; Yishao Shi; Katabarwa Murenzi Gilbert

doi:10.1117/12.3024176

21 February 2024 Temporal analysis of land use transformation and carbon emission patterns in Shanghai from 2000 to 2020

Jianwen Zheng, Yishao Shi, Katabarwa Murenzi Gilbert

Author Affiliations +

Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 129880M (2024) https://doi.org/10.1117/12.3024176
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China

Abstract

The absorption and release of carbon dioxide by different types of land cover, with activities like deforestation or urbanization releasing CO2, while afforestation or natural ecosystems act as carbon sinks, affecting the overall carbon balance in the atmosphere. This paper analyzes the spatial and temporal characteristics of land use and carbon emissions in Shanghai from 2000 to 2020 using the land use transfer matrix, the carbon emission estimation model, and the standardized error ellipse method. The results indicate that the total carbon emissions from land use in Shanghai have exhibited an upward trend from 2000 to 2020, with an average annual growth rate of 3.055%. The expansion of construction land has been identified as the main source of carbon emissions, while forests serve as the primary carbon sink. Spatial analysis reveals that areas with high-intensity carbon emissions are mainly concentrated in Pudong New Area, while regions with moderate carbon emissions are in Jiading and Minhang districts, gradually expanding towards the northeast. Based on these findings, it is recommended that carbon emission policies consider the characteristics of regional differences, control land use intensity appropriately, and guide low-carbon and efficient land utilization as the primary direction to achieve Shanghai's energy low-carbon transformation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Jianwen Zheng, Yishao Shi, and Katabarwa Murenzi Gilbert "Temporal analysis of land use transformation and carbon emission patterns in Shanghai from 2000 to 2020", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 129880M (21 February 2024); https://doi.org/10.1117/12.3024176

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KEYWORDS

Carbon

Error analysis

Industry

Matrices

Climate change

Sustainability

Transportation

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