Full
Outline
The study focused on the spatiotemporal distribution characteristics of retired power batteries and critical metal resources in China. It used the LSTM neural network model to predict the sales volume of electric vehicles. It also estimated the stock of retired power batteries and critical metal resources by applying the Weibull distribution model, and further analyzed their spatial distribution characteristics. The research found that from 2012 to 2035, there were significant regional differences and spatial agglomeration in the cumulative retirement volume of power batteries and the cumulative stock of critical metal resources in China. Currently, Guangdong, Zhejiang, Shandong, Beijing, Shanghai, and Henan had the highest cumulative retirement volume of power batteries and the highest cumulative stock of critical metal resources, while Tibet, Qinghai, Ningxia, Heilongjiang, Xinjiang, and Inner Mongolia had the lowest. By 2035, Jiangsu was projected to replace Beijing as one of the six provinces with the highest cumulative retirement volume, with a cumulative retirement volume of 2.2546 million tons. Gansu was projected to replace Inner Mongolia as one of the provinces with the lowest cumulative retirement volume, with a cumulative retirement volume of 153,600 tons. In terms of spatial agglomeration, the high-high agglomeration area was found to be Jiangsu, while the low-low agglomeration areas included Xinjiang, Qinghai, Sichuan, Gansu, Inner Mongolia, and Jilin. It was projected that the scope of high-high agglomeration would expand further in the future (with Anhui and Shanghai being added), while the scope of low-low agglomeration would contract (with Sichuan no longer being part of this category). Regarding the distribution of processing capacities of the white-listed enterprises for the comprehensive utilization of retired power batteries, it was found that although China had an overall surplus in processing capacity, there was a spatial misalignment. It was anticipated that in the future, the recycling and regeneration capacities in Shanghai, Jiangsu, Hebei, Guangxi, Tianjin, Guangdong, Zhejiang, Yunnan, and Henan would not be sufficient to meet their own demands, and it was necessary to further optimize the layout of recycling and processing capacities.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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