The future status of solid waste generation in Tehran metropolis with regression analysis method based on population

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

FARAJI MAHYARI KH.; RAFIEE SH.; KEYHANI A.R.; Faraji Mahyari z.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Health and Environment Year:2019 | Volume:12 | Issue:3 Page(s): 489-500

Download Full-Text

Persian Verion

View:

629

Download:

Cites:

Information Journal Paper

Title

The future status of solid waste generation in Tehran metropolis with regression analysis method based on population

Author(s)

FARAJI MAHYARI KH. | RAFIEE SH. | KEYHANI A.R. | Faraji Mahyari z. | Issue Writer Certificate

Keywords

Municipal solid wasteQ1

Waste managementQ1

Forecasting solid waste generationQ1

Validation of regression analysisQ1

TehranQ2

Abstract

Background and Objective: Knowledge about the quantity of Municipal solid waste (MSW) generation plays a key role in formulating policies of Waste management. So far, different methods have been applied to estimate the quantity of waste generation. In this study, eight specific forms of mathematical functions were evaluated to predict waste generation by the regression analysis method based on population. Materials and Methods: The significance test of each model and the existence necessity of predictor parameters were performed using the F-and t-statistic, respectively. The statistical indicators of determination coefficient ( R2 ), adjusted determination coefficient ( 2 Adjusted R ), root mean square error (RMSE), mean bias error (MBE) and mean percentage error (MPE) were used for model’ s goodness of fit. The predicted determination coefficient ( 2 Pr edicted R ) was calculated to assess the predictive ability of models by method of Leave-one-out cross validation. Results: The results showed that polynomial models of second order and more are not significant (at 0. 01 level) despite good accuracy and are not suitable for long-term prediction. Linear, power and exponential models are best with R2 equal to 0. 942, 0. 932 and 0. 936 and 2 Pr edicted R equal to 0. 904, 0. 893 and 0. 898 respectively. However, the uncertainty was greater in the exponential model. Conclusion: The status of waste generation was investigated in four scenarios based on growth rate of population (increasing, fixing and decreasing births) at Tehran metropolis in 2021-2051. In all scenarios, annual generation and per capita of waste are increased to 2051. The daily waste generation will increase to 12317 ton in 2051.

Cites

No record.

References

Cite

APA: Copy

FARAJI MAHYARI, KH., RAFIEE, SH., KEYHANI, A.R., & Faraji Mahyari, z.. (2019). The future status of solid waste generation in Tehran metropolis with regression analysis method based on population. IRANIAN JOURNAL OF HEALTH AND ENVIRONMENT, 12(3 ), 489-500. SID. https://sid.ir/paper/145750/en

Vancouver: Copy

FARAJI MAHYARI KH., RAFIEE SH., KEYHANI A.R., Faraji Mahyari z.. The future status of solid waste generation in Tehran metropolis with regression analysis method based on population. IRANIAN JOURNAL OF HEALTH AND ENVIRONMENT[Internet]. 2019;12(3 ):489-500. Available from: https://sid.ir/paper/145750/en

IEEE: Copy

KH. FARAJI MAHYARI, SH. RAFIEE, A.R. KEYHANI, and z. Faraji Mahyari, “The future status of solid waste generation in Tehran metropolis with regression analysis method based on population,” IRANIAN JOURNAL OF HEALTH AND ENVIRONMENT, vol. 12, no. 3 , pp. 489–500, 2019, [Online]. Available: https://sid.ir/paper/145750/en

Related Journal Papers