REVIEW ON PREDICTIVE MODELS FOR MUNICIPAL SOLID WASTE PRODUCTION

WU Fan; NIU Dong-jie

doi:10.13205/j.hjgc.202104020

Volume 39 Issue 4

Jul. 2021

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WU Fan, NIU Dong-jie. REVIEW ON PREDICTIVE MODELS FOR MUNICIPAL SOLID WASTE PRODUCTION[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(4): 128-133. doi: 10.13205/j.hjgc.202104020

Citation:

WU Fan, NIU Dong-jie. REVIEW ON PREDICTIVE MODELS FOR MUNICIPAL SOLID WASTE PRODUCTION[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(4): 128-133. doi: 10.13205/j.hjgc.202104020

WU Fan, NIU Dong-jie. REVIEW ON PREDICTIVE MODELS FOR MUNICIPAL SOLID WASTE PRODUCTION[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(4): 128-133. doi: 10.13205/j.hjgc.202104020

Citation:

WU Fan, NIU Dong-jie. REVIEW ON PREDICTIVE MODELS FOR MUNICIPAL SOLID WASTE PRODUCTION[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(4): 128-133. doi: 10.13205/j.hjgc.202104020

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REVIEW ON PREDICTIVE MODELS FOR MUNICIPAL SOLID WASTE PRODUCTION

doi: 10.13205/j.hjgc.202104020

WU Fan¹,
NIU Dong-jie^{1,2
,
,}

1. State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China;
2. Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China

Received Date: 2020-04-26
Available Online: 2021-07-21

Abstract

Abstract

Prediction of generation rate of MSW is of great significance to its planning and subsequent disposal. Models in previous research were summarized into two categories:regression analysis models for large-scale prediction and time series models for small-scale but precise prediction. And each sub-category was compared in detail. The influencing factors of MSW were divided into three categories:regional overall factors, residents' living factors and other factors, and their selection was discussed separately. Finally, suggestions on three major steps, determination of land scale, lag of time and input parameters were given, and the existing problems in predictive models for municipal solid waste were also summarized.
- municipal solid waste,
- predictive models,
- influencing factors,
- research progress

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References(50)

References

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