SURVEY ON HOUSEHOLD WASTE COMPOSITION GENERATED IN CLUJ-NAPOCA, ROMANIA DURING THE SUMMER SEASON

2015 ◽  
Vol 14 (11) ◽  
pp. 2643-2651 ◽  
Author(s):  
Ioana Nicoleta Pop ◽  
Calin Baciu ◽  
Nicoleta Bican-Brisan
Keyword(s):  
Summer Season ◽  
Household Waste ◽  
Waste Composition

SURVEY ON HOUSEHOLD WASTE COMPOSITION GENERATED IN CLUJ-NAPOCA, ROMANIA DURING THE SUMMER SEASON

2015 ◽  
Vol 14 (11) ◽  
pp. 2643-2651
Author(s):  
Ioana Nicoleta Pop ◽  
Calin Baciu ◽  
Nicoleta Bican-Brisan
Keyword(s):  
Summer Season ◽  
Household Waste ◽  
Waste Composition

Methods for household waste composition studies

2008 ◽  
Vol 28 (7) ◽  
pp. 1100-1112 ◽  
Author(s):  
Lisa Dahlén ◽  
Anders Lagerkvist
Keyword(s):  
Composition Studies ◽  
Household Waste ◽  
Waste Composition

Method for residual household waste composition studies

2015 ◽  
Vol 46 ◽  
pp. 3-14 ◽  
Author(s):  
Olli Sahimaa ◽  
Mari Hupponen ◽  
Mika Horttanainen ◽  
Jaana Sorvari
Keyword(s):  
Composition Studies ◽  
Household Waste ◽  
Waste Composition

scholarly journals Impact of COVID-19 on food waste behaviour of families: Results from household waste composition audits

2021 ◽  
pp. 101188
Author(s):  
Amar Laila ◽  
Mike von Massow ◽  
Maggie Bain ◽  
Kate Parizeau ◽  
Jess Haines
Keyword(s):  
Food Waste ◽  
Household Waste ◽  
Waste Composition

Sampling Method To Determine a Household Waste Composition Variance

1992 ◽  
Vol 10 (1) ◽  
pp. 3-12 ◽  
Author(s):  
D. Leroy ◽  
J.-M. Giovannoni ◽  
L.-Y. Maystre
Keyword(s):  
Sampling Method ◽  
Household Waste ◽  
Average Content ◽  
Crucial Importance ◽  
Sorting Method ◽  
Mean Values ◽  
Waste Composition ◽  
The Mean ◽  
Two Parameters ◽  
Practical Constraints

Knowledge of waste composition is of crucial importance for waste management forecasting. Composition is usually specified by average content of glass, paper, organic matter etc. In this paper a sorting method and its application to variance determination is described. A variation coefficient and a confidence interval are then calculated. From these two parameters an appreciation of the dispersion and the uncertainty associated with the mean values can be derived. In the case studied, the variation coefficients calculated were between 0.10 and 0.50 depending on the class of waste. Analysis of confidence intervals shows that reliability is good for low-abundance components such as, for example, aluminium, iron and plastics. The influence of practical constraints on the theoretical guidelines is also discussed.

scholarly journals Application of the Operational Research Method to Determine the Optimum Transport Collection Cycle of Municipal Waste in a Predesignated Urban Area

2019 ◽  
Vol 11 (8) ◽  
pp. 2275 ◽  
Author(s):  
Ondrej Stopka ◽  
Maria Stopkova ◽  
Rudolf Kampf
Keyword(s):  
Road Network ◽  
Municipal Waste ◽  
Household Waste ◽  
Waste Collection ◽  
Urban Road Network ◽  
Urban Road ◽  
Waste Composition ◽  
Mixed Waste ◽  
Waste Separation ◽  
The Impact

This paper deals with waste management. The aim is to find out whether the number of municipal mixed waste bins can be reduced due to the impact of waste separation and to determine the optimum municipal waste collection cycle within a predesignated area with an existing urban road network. The number of mixed waste bins depends on two factors—household waste volume and household waste composition. Both of these factors have a significant impact on the number of mixed waste bins required, with household waste composition being of particular importance when it comes to calculating the potential reduction in the number of mixed waste bins required due to waste separation. The calculations for the weight and volume of mixed household waste per person and the composition (types) thereof are presented accordingly. The results reveal which types of waste are the most useful in minimising the number of mixed waste bins by up to 30–50%. To determine the optimum waste collection cycle within the predesignated area with a real urban road network, the Nearest Neighbour Search method was applied. In the discussion, the focus is on whether other methods, including the Two-Phase Heuristic approach and the Bellman-Ford Algorithm, could be applied to solve the problem, whereby parameters such as application time and the capacity of the waste collection vehicle are compared.

Sampling method to determine a household waste composition variance

1992 ◽  
Vol 10 (1) ◽  
pp. 3-12 ◽  
Author(s):  
D LEROY ◽  
J GIOVANNONI ◽  
L MAYSTRE
Keyword(s):  
Sampling Method ◽  
Household Waste ◽  
Waste Composition
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