publication . Part of book or chapter of book . Conference object . 2017

Household Packaging Waste Management

Ferreira, João Amaro Oliveira; Figueiredo, Manuel; Oliveira, José A.;
Open Access
  • Published: 01 Jan 2017
  • Publisher: Springer International Publishing
  • Country: Brazil
Household packaging waste (HPW) has an important environmental impact and economic relevance. Thus there are networks of collection points (named “ecopontos” in Portugal) where HPW may be deposited for collection by waste management companies. In order to optimize HPW logistics, accurate estimates of the waste generation rates are needed to calculate the number of collections required for each ecoponto in a given period of time. The most important factors to estimate HPW generation rates are linked to the characteristics of the population and the social and economic activities around each ecoponto location. We developed multiple linear regression models and arti...
free text keywords: Forecasting, Household packaging waste, Recycling seasonality, Recycling, Seasonality, Science & Technology, Waste management, Household chemicals, Computer science, Waste collection, Environmental impact assessment
Related Organizations
Funded by
FCT| UID/CEC/00319/2013
ALGORITMI Research Centre
  • Funder: Fundação para a Ciência e a Tecnologia, I.P. (FCT)
  • Project Code: 147280
  • Funding stream: 5876

1. Bandara, J., Hettiaratchi, J., Wirasinghe, S., and Pilapiiya, S.: Relation of waste generation and composition to socio-economic factors: a case study. Environmental Monitoring and Assessment 135(1-3), 31-39 (2007) [OpenAIRE]

2. Beigl, P., Lebersorger, S., and Salhofer, S.: Modelling municipal solid waste generation: A review. Waste Management 28(1), 200-214 (2008) [OpenAIRE]

3. Bruvoll, A., and Spurkland, G.: Waste in Norway up to 2010, reports 95/8: Statistics Norway (1995)

4. Denafas, G. Vitkauskaitơ, L., Jankauskaitơ K. , StaniulisD. , Martuzeviþius, D. , Kavaliauskas, A. and Tumynas, D.: Seasonal variation of municipal solid waste generation and composition in four East European cities, Resources, Conservation and Recycling, 89, 22-30 (2014)

5. Ferreira, J.A., Figueiredo, M. C. and Oliveira, J.A.: Forecasting Household Packaging Waste Generation: A Case Study. Computational Science and Its Applications, Lecture Notes in Computer Science, 8581, 523-538 (2014)

6. Grossman, D., Hudson, J.F., and Mark, D.H.: Waste generation methods for solid waste collection. Journal of Environmental Engineering-ASCE 6, 1219-1230 (1974)

7. Heaton, J.: Encog: Library of Interchangeable Machine Learning Models for Java and C#. Journal of Machine Learning Research, 16, 1243-1247 (2015)

8. Marquez, M.Y., Ojeda S., and Hidalgo, H.: Identification of behavior patterns in household solid waste generation in Mexicali's city: Study case. Resources, Conservation and Recycling 52(11), 1299--1306 (2008)

9. Nagelhout, D., Joosten, M., and Wierenga, K.: Future waste disposal in the Netherlands. Resources, Conservation and Recycling 4(4), 283--295 (1990)

10. Oribe-Garcia, I., Kamara-Esteban, O., Martin, C., Macarulla-Arenaza, A., AlonsoVicario, A. : Identification of influencing municipal characteristics regarding household waste generation and their forecasting ability in Biscay, Waste Management, 39, 26-34 (2015).

11. Wang, H.T. and Nie, Y.F.: Municipal solid waste characteristics and management in China. Journal of the Air and Waste Management Association 51(2), 250-263 (2001).

Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Part of book or chapter of book . Conference object . 2017

Household Packaging Waste Management

Ferreira, João Amaro Oliveira; Figueiredo, Manuel; Oliveira, José A.;