[Moisture Content of Municipal Solid Waste in Some Urban Agglomeration of China in Recent Five Years].

The moisture content of the components of municipal solid waste （MSW） is a key factor that determines the end treatment technology and resource recovery methods. Understanding the variation patterns and prediction methods of the moisture content of the components has a guiding role for the planning and design of waste treatment facilities. Based on more than 500 MSW samples from more than 30 cities across China, this study analyzes the variation trends and correlations of the moisture content of the components of MSW in Yangtze River Delta, Pearl River Delta, Beijing-Tianjin-Hebei, and other major urban agglomerations and northeast, southwest, and North China in the past five years and establishes a prediction model of the moisture content of waste. The results showed that, from the national average, the main components that had higher content and higher probability of occurrence in MSW were： kitchen waste, paper, rubber and plastic, textiles, wood/bamboo, etc. Except for a few cities, the probability of occurrence of these components usually exceeded 80%. The components with lower content in MSW varied by location. The order of the moisture content of the main components of MSW was： kitchen waste > wood/bamboo > paper > textiles > rubber and plastic. From the average value, the moisture content of the components such as kitchen waste and wood/bamboo, which are usually considered to have high moisture content, has decreased slightly in the past five years. The moisture content of the main components of MSW did not change significantly with seasons； however, on the whole, it showed a weak cyclical change. In addition to paper, the average water content and average total water content of the main components of MSW reached the maximum value in July to August and the minimum value in February to March, and the average water content and average total water content of paper reached the maximum value in February and the minimum value in August. The correlation coefficients between the moisture contents of paper, rubber and plastic, textiles, and wood/bamboo were slightly higher than 0.3, indicating that these components might have similar sources of water. Model analysis showed that it is not appropriate to use the average moisture content of the components to predict the moisture content of MSW. The prediction model of the moisture content of MSW established in this study can make the error between the moisture content prediction value and the measured value of 85.45% of the samples within 20%, which can be well applied to the water prediction of domestic waste in China.