Quantification and prediction of solid waste generation based on socio-economical parameters

Abstract

Rapid scio-economic expansion in Bhopal city, with population growth from 14.35 lakhs in 2001 to 26 lakhs in 2023— roughly twice as much—during this time. If we compare with solid waste generation (SWG) in present and expected increase in years 2001, 2023, and 2035, it is 500 t/d, 800 t/d, and 2735 t/d, respectively, which shows almost three times higher from present generation. This led to the problem of solid waste management due to limited availability resources. This paper gives correlation between development aspects based on life index such as physical quality of life Index and SWG. The present study quantifies the SWG of Bhopal city using the socio-economic data such as per capita income, gross domestic product, physical quality of life index, population, and SWG of Bhopal city that forecast the future status. Abovementioned socio-economical parameters were used for forecast model and for this, multiple linear regression analysis was used for study. Based on the study and after correlation with SWG, it is found that population is in highest correlation than gross domestic production at current price, per capita income at current price, and physical quality of life index, respectively. The high value of R² is 0.99638 in the models which is near 1. This will help the urban municipal solid waste management bodies to effectively manage solid waste in a sustainable manner.