Tang Miaohan, Liu Gengyuan, Hong Jingke, Liu Weier, Zhong Chao, Wang Dan, Shan Yuli
School of Public Administration, Zhejiang University of Finance &Economics, Hangzhou, China.
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, China.
Sci Data. 2025 Jan 11;12(1):55. doi: 10.1038/s41597-024-04344-3.
Cities exhibit diverse urban metabolism patterns in terms of the natural environment, industrial composition, energy, and material consumption. A chronicled city-level quantification of emergy metabolic flows over time can significantly enhance the understanding of the temporal dynamics and urban metabolism patterns, which provides critical insights for the transitions to sustainability. However, there exists no city-level urban emergy metabolism dataset in China that can support detailed spatial-temporal analysis. In this study, we present a city-level urban emergy metabolism dataset of China's 281 cities between 2000 and 2020. This dataset meticulously describes the production and import of 41 resource types that sustain metabolic activities in 281 Chinese cities over a span of 21 years. This database, for the first time, provides insights into the historical metabolic changes of China's cities by detailing emergy flows including production, consumption, and import of resources. Furthermore, these emergy flow inventories serve as valuable resources for studying urban metabolic characteristics, evaluating policy impacts, and formulating sustainable development strategies for China's cities.
城市在自然环境、产业构成、能源和物质消耗方面呈现出多样的城市代谢模式。对随时间变化的能值代谢流进行长期的城市层面量化，能够显著增进对时间动态和城市代谢模式的理解，这为向可持续发展转型提供了关键见解。然而，中国目前尚无能够支持详细时空分析的城市层面的城市能值代谢数据集。在本研究中，我们展示了一个涵盖2000年至2020年中国281个城市的城市层面的城市能值代谢数据集。该数据集详细描述了在21年时间跨度内维持中国281个城市代谢活动的41种资源类型的生产和进口情况。该数据库首次通过详细说明包括资源生产、消费和进口在内的能值流，深入揭示了中国城市的历史代谢变化。此外，这些能值流清单是研究城市代谢特征、评估政策影响以及制定中国城市可持续发展战略的宝贵资源。
