Detailed data_industrial solid waste in China.xlsx

Rapid industrialization of China generated great amount of industrial solid waste, causing significant environmental pressure. However, a complete temporal dataset of this waste in China is absent, due to unplanned collection effort or changing statistical standard. There is an urgent need to have a complete dataset of industrial solid waste generated each year, in order to come up with targeted policy for resource recovery, recycling, and circular economy initiatives. To fill the data gap, we collected the current available data and use six machine learning model to complete the dataset across 338 cities in China from 1990-2022. Bayesian optimization has been utilized to find the best model and enhance the predictive model's performance and resilience. Furthermore, we selected six dominant industrial waste that occupy the majority amount of the overall waste generation, and present the data at city-level. This dataset can provide policymakers with valuable insights into waste generation patterns, to address specific waste management challenges of different regions in China.