Next Article in Journal
Adaptability of Inter-Organizational Information Systems Based on Organizational Identity: Some Factors of Partnership for the Goals
Next Article in Special Issue
An Evaluation of the Quality and Microstructure of Biodegradable Composites as Contribution towards Better Management of Food Industry Wastes
Previous Article in Journal
Slow Steaming as Part of SECA Compliance Strategies among RoRo and RoPax Shipping Companies
Previous Article in Special Issue
An Investigation of the Feasibility of the Organic Municipal Solid Waste Processing by Coking
Open AccessArticle

Characteristics and Forecasting of Municipal Solid Waste Generation in China

School of Management, Wuhan University of Technology, Wuhan 430070, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(5), 1433; https://doi.org/10.3390/su11051433
Received: 11 February 2019 / Revised: 25 February 2019 / Accepted: 5 March 2019 / Published: 8 March 2019
(This article belongs to the Collection Trends in Municipal Solid Waste Management)
The clear understanding of characteristics and trends of solid waste generation is essential for the optimization of waste collection and treatment systems. Taking 651 cities in China as a sample, this study adopts correlation analysis and the Q-type clustering model to explore the characteristics and general trends of solid waste generation (SWG) of five cities of different scale from 2007 to 2016. The results show that the trends of average amount and the annual per capita SWG are diversified in cities of different scale. The permanent residents and regional GDP have prominent impacts on SWG in large cities, megacities, and super megacities compared to those from small and medium-sized cities. The urban area is highly correlated with the SWG of all cities. Nearly one third of cities are characterized by high population density, high economic growth and low SWG. Furthermore, the factor models are developed to forecast the amount of SWG, which have a descriptive capacity of 96%, 95.4%, 92.6%, and 84.2% for the overall cities, large cities, medium-sized cities and small cities respectively. View Full-Text
Keywords: municipal solid waste generation; characteristics; forecast; city scale; China municipal solid waste generation; characteristics; forecast; city scale; China
Show Figures

Figure 1

MDPI and ACS Style

Pan, A.; Yu, L.; Yang, Q. Characteristics and Forecasting of Municipal Solid Waste Generation in China. Sustainability 2019, 11, 1433.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop