Forecast generation model of municipal solid waste using multiple linear regression

Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
View: 369

This Paper With 14 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_GJESM-6-1_001

تاریخ نمایه سازی: 21 آبان 1398

Abstract:

The objective of this study was to develop a forecast model to determine the rate of generation of municipal solid waste in the municipalities of the Cuenca del Cañón del Sumidero, Chiapas, Mexico. Multiple linear regression was used with social and demographic explanatory variables. The compiled database consisted of 9 variables with 118 specific data per variable, which were analyzed using a multicollinearity test to select the most important ones. Initially, different regression models were generated, but only 2 of them were considered useful, because they used few predictors that were statistically significant. The most important variables to predict the rate of waste generation in the study area were the population of each municipality, the migration and the population density. Although other variables, such as daily per capita income and average schooling are very important, they do not seem to have an effect on the response variable in this study. The model with the highest parsimony resulted in an adjusted coefficient of 0.975, an average absolute percentage error of 7.70, an average absolute deviation of 0.16 and an average root square error of 0.19, showing a high influence on the phenomenon studied and a good predictive capacity.

Authors

J.A. Araiza-Aguilar

School of Environmental Engineering, University of Science and Arts of Chiapas, North beltway, Lajas Maciel, Tuxtla Gutierrez, Chiapas, Mexico

M.N. Rojas-Valencia

Institute of Engineering, National Autonomous University of Mexico, External circuit, University City, Coyoacan delegation, Mexico City, Mexico

R.A. Aguilar-Vera

Institute of Geography, National Autonomous University of Mexico, External circuit, University City, Coyoacan delegation, Mexico City, Mexico

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Abdoli, M.; Falahnezhad, M.; Behboudian, S., (2011). Multivariate econometric approach ...
  • Agirre, E.; Ibarra, G.; Madariaga, I., (2006). Regression and multilayer ...
  • Alvarado, H.; Nájera, H.; González, F.; Palacios, R., (2009). Study ...
  • Araiza, J.; López, C.; Ramírez, N., (2015). Municipal solid waste ...
  • Arriaza, M., (2006). Practical guide to data analysis, junta de ...
  • Azadi, S.; Karimí, A., (2016). Verifying the performance of artificial ...
  • Beigl, P.; Lebersorger, S.; Salhofer, S., (2008). Modelling municipal solid ...
  • Bel, G.; Mur, M., (2009). Intermunicipal cooperation, privatization and waste ...
  • Buenrostro, O.; Bocco, G.; Vence, J., (2001). Forecasting generation of ...
  • Chang, Y.; Lin, C.; Chyan, J.; Chen, I.; Chang, J. ...
  • Chhay, L.; Reyad, M.; Suy, R.; Islam, M.; Mian M., ...
  • CONAPO, (2017). National Population Council. Municipal Marginalization Index. ...
  • Ghinea, C.; Niculina, E.; Comanita, E.; Gavrilescu, M.; Campean, T.; ...
  • Grazhdani, D., (2016). Assessing the variables affecting on the rate ...
  • INEGI, (2010). Population and housing census 2010: interactive data query. ...
  • Intharathirat, R.; Salam, P.; Kumar, S.; Untong, A., (2015). Forecasting ...
  • Kannangara, M.; Dua, R.; Ahmadi, L.; Bensebaa, F., (2018). Modeling ...
  • Khan, D.; Kumar, A.; Samadder, S., (2016). Impact of socioeconomic ...
  • Keser, S.; Duzgun, S.; Aksoy, A., (2012). Application of spatial ...
  • Kolekar, K.; Hazra, T.; Chakrabarty, S., (2016). A review on ...
  • Kumar, A.; Samandder, S., (2017). An empirical model for prediction ...
  • Liu, C.; Wu, X., (2010). Factors influencing municipal solid waste ...
  • Liu, J.; Li, Q.; Gu, W.; Wang, C., (2019). The ...
  • Mahmood, S.; Sharif, F.; Rahman, A.U.; Khan, A.U., (2018). Analysis ...
  • Márquez, M.; Ojeda, S.; Hidalgo, H., (2008). Identification of behavior ...
  • Mendenhall, W.; Sincich, T., (2012). A second course in statistics ...
  • OECD, (2015). Measuring well-being in Mexican States. Organization for Economic ...
  • Ojeda, S.; Lozano, G.; Morelos, R.; Armijo, C., (2008). Mathematical ...
  • Pan, A.; Yu, L.; Yang, Q, (2019). Characteristics and forecasting ...
  • Pires, J.; Martins, F.; Sousa, S.; Alvim, M.; Pereira, M. ...
  • Rodríguez, M. (2004). Design of a mathematical model of municipal ...
  • Rybová, K.; Slavik, J.; Burcin, B.; Soukopová, J.; Kučera, T.; ...
  • Shan, C., (2010). Projecting municipal solid waste: the case of ...
  • Soni, U.; Roy, A.; Verma, A.; Jain, V., (2019). Forecasting ...
  • HOW TO CITE THIS ARTICLE: ...
  • Araiza-Aguilar, J.A.; Rojas-Valencia, M.N.;  Aguilar-Vera, R.A., (2020). Forecast generation model ...
  • نمایش کامل مراجع