Chapter 1 - Source classification and yield forecast of municipal and rural solid waste

Abstract

The characteristics of municipal solid waste (MSW) and rural solid waste are introduced first in this chapter. The composition of MSW, the logistics system of MSW classification, classification and recycling modes, and the classification and traceability system are then detailed. Furthermore, the chapter emphasizes the benefits and functions of source separation and provides current source separation situations in Japan, Germany, and China. Finally, while machine learning has great potential for prediction, few studies have used deep learning approaches to forecast the quantity of MSW. As a result, the goal is to assess the feasibility and practicability of using supervised learning methods such as Attention, one-dimension Convolutional Neural Network, and Long Short-Term Memory to predict the MSW Amount.