南昌市のCO2排出を暴く30メートル精度の衛星地図(Satellite-powered 30-meter Map Exposes Nanchang city’s CO2 Emissions)

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2025-05-08 中国科学院(CAS)

南昌市のCO2排出を暴く30メートル精度の衛星地図(Satellite-powered 30-meter Map Exposes Nanchang city’s CO2 Emissions)Distribution of monthly CO2 emissions  of Nanchang in 2020 with 30-meter resolution. (Image by AIR)

中国科学院空天信息研究院(AIR)の研究チームは、中国江西省南昌市における二酸化炭素(CO₂)排出量を30メートル解像度で可視化する地図を作成した。衛星画像や夜間光データ、統計年鑑、POI情報を統合して都市のCO₂排出を詳細に分析し、従来より高精度(誤差率13.9%)を達成。2020年の南昌市の排出量は2,094万トンで、主な排出源は産業部門、特に金属精錬業だった。地理的には都市中心部周辺が高排出地域で、季節変動も確認された。この手法は都市の炭素管理に有用とされる。

<関連情報>

都市の炭素動態の解明:南昌市の二酸化炭素排出に関するマルチソースデータ研究 Unravelling urban carbon dynamics: a multi-source data study on Nanchang city’s carbon dioxide emissions

Lingyun Yao,Li Wang,Ke Wang & Zheng Niu
International Journal of Digital Earth  Published: 15 Apr 2025
DOI:https://doi.org/10.1080/17538947.2025.2491819

ABSTRACT

Urban CO2 emissions constitute a significant proportion of the total global emissions, and the analysis of urban CO2 emissions typically requires the availability of baseline data with high spatiotemporal resolution. However, it is challenging to achieve an optimal balance between the quality and quantity with existing mapping methods. The objective of this study is to develop a rapid mapping method for urban CO2 with high spatiotemporal resolution based on multi-source data. The case study of Nanchang in 2020 will be used. The results demonstrate that: (1) the emission structure of Nanchang is primarily characterised by the industrial and energy sectors, accounting for more than 70%. Within the industrial subsectors, metal smelting is responsible for the largest share of emissions, over 75%. (2) Areas with elevated levels of emissions are concentrated in urban cores and industrial towns on the periphery, forming three major clusters that are predominantly characterised by industrial land use. (3) The annual emission results exhibit an acceptable error of 13.9% in comparison to the CEADs. Furthermore, the distribution results demonstrate a higher resolution and a broader range of values in comparison to ODIAC, thereby avoiding the averaging of values.

1902環境測定
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