Abstract
Aiming at the problem that the amount of urban waste changes due to population changes and is difficult to predict, a method for predicting the amount of waste based on urban population changes is proposed. After analyzing the correlation between the urban population data of Shanghai and the annual output of garbage from 2000 to 2019, the correlation coefficient and strong correlation data items are calculated. On this basis, judge whether the original population data items meet the conditions of the grey prediction model, and determine whether it can be modeled according to the grey model. Based on the grey theory, this paper analyzes the basic situation of population changes and future population growth trend in Shanghai. Finally, the annual production of municipal solid waste in Shanghai from 2020 to 2025 is predicted based on multiple linear regression analysis. The results show that the waste production of Shanghai has shown a slow growth trend since 2019, and will not increase significantly in the natural state in recent years, which provides a reference basis for subsequent research and analysis.
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Acknowledgment
The authors would like to thank the anonymous reviewers for their elaborate reviews and feedback. This work is supported by the National Natural Science Foundation of China (No. 61906099), the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources (No. KF-2019-04-065).
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Yu, Q., Wan, H., Ma, J., Li, H., Sun, G. (2022). A Method of Garbage Quantity Prediction Based on Population Change. In: Shi, Z., Zucker, JD., An, B. (eds) Intelligent Information Processing XI. IIP 2022. IFIP Advances in Information and Communication Technology, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-031-03948-5_43
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DOI: https://doi.org/10.1007/978-3-031-03948-5_43
Publisher Name: Springer, Cham
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