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The problem of residential solid waste (RSW) has drawn increasing attention. It is important to accurately predict the amount of RSW for planning solid waste management. In this research, a combined weight-varying model was presented based on logarithm fit, linear fit, exponential smoothing, and grey prediction GM(1, 1). The optimal weights in combined weight-varying model were determined in accordance with the amount of RSW in Xiamen City from 2009 to 2014 and the production from 2015 to 2024 had been predicted. The results showed that combined weight-varying model performed very well at prediction precision and the amount of RSW in Xiamen City would likely be 2.40 to 2.90 million tons..

Combined weight-varying model for production prediction of residential solid waste: a case study of Xiamen