Environmental Sanitation Engineering ›› 2024, Vol. 32 ›› Issue (1): 94-98.doi: 10.19841/j.cnki.hjwsgc.2024.01.013

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Prediction and Change Analysis of Domestic Waste Generation in Shenzhen after COVID-19

TANG Shengjun, HOU Bin   

  1. Urban Planning & Design Institute of Shenzhen
  • Online:2024-03-01 Published:2024-03-01

Abstract: The results of the changes in domestic waste generation after COVID-19 in Shenzhen was forecast and analyzed, which was an important basis for local governments to scientifically make relevant plansand rationally layout the construction of sanitation facilities. To this end, the changes of the predicted domestic waste generationvalue from 2022 to 2035 was analyzed by combining grey model, multiple linear regression and other methods. The results showed that the output of domestic waste kept increasing year by year, and the specific value of the end of the planning level year (2035) had been adjusted to some extent. It was predicted that the generation of domestic waste in 2035 would be 45 547 t/d, among which the recycling amount of regenerated resources would be 14 576 t/d, and the disposal amount of domestic waste would be 30 971 t/d. It was suggested that the construction of sanitation facilities could adjust the scale and construction period of facilities flexibly to improve the efficiency of domestic waste treatment.

Key words: refuse, output, multiple factor analysis, grey forecast, multiple linear regression prediction

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