Solid waste management
1. Predicting waste generation using Bayesian model averaging

M.G. Hoang; T. Fujiwara; S.T. Pham Phu; K.T. Nguyen Thi

Volume 3, Issue 4 , Autumn 2017, , Pages 385-402

http://dx.doi.org/10.22034/gjesm.2017.03.04.005

Abstract
  A prognosis model has been developed for solid waste generation from households in Hoi An City, a famous tourist city in Viet Nam. Waste sampling, followed by a questionnaire survey, was carried out to gather data. The Bayesian model average method was used to identify factors significantly associated ...  Read More

Solid waste management
2. Factors affecting the rural domestic waste generation

A.R. Darban Astane; M. Hajilo

Volume 3, Issue 4 , Autumn 2017, , Pages 417-426

http://dx.doi.org/10.22034/gjesm.2017.03.04.007

Abstract
  The current study was carried out to evaluate the quantity and quality of rural domestic waste generation and to identify the factors affecting it in rural areas of Khodabandeh county in Zanjan Province, Iran. Waste samplings consisted of 318 rural households in 11 villages. In order to evaluate the ...  Read More