Abstract:Nowadays, China's fast-growing cities are suffering from the problem of "Cities Besieged by Waste". The true portrayal of China today is people live in cities, while the cities are trapped in waste. China is still in this dilemma that a lot of garbage is difficult to memorial archway, clear, dispose, and manage, although local governments have promulgated corresponding policies in recent years. Tragedies caused by "Cities Besieged by Waste" are still everywhere. The risk situation and countermeasures of "Cities Besieged by Waste" should not be ignored, but should be focused on instead. Based on the DⅡS (Data-Information-Intelligence-Solution) framework, this study uses Google Earth and GIS (Geographic Information System) to identify the number, area, and formation of informal landfills in 31 provincial capitals to finally generate the data of the "garbage stock". Besides, based on the DSR (Driving force-Status-Response) risk assessment model, this study identifies the risk of "Cities Besieged by Waste" of 31 provincial capitals. By analyzing the current situation of risk, identifying the source of risk, and clarifying the mechanism of risk occurrence and development, this study works on providing intellectual contribution for government departments to reduce the risk of "Cities Besieged by Waste".