Rate of municipal waste production in aspect of communes’ business types in Malopolska Region

Amount of generated municipal wastes depends on many factors, witch themost important are: life standard, population's rate and goods' consumption scaleand intensity.The kind of produced wastes depends on the area where the wastes aregenerated, population denisity, buldings' types, objects of public utility, trade outpostmagnitude and intensity of industry and services.In this paper there was verified dependence between municipal wasteproduction and one of the social-economic factor which is structure of economicactivity (by Polish Classification of Activity - PKD).The researches were conducted in communes of Malopolska Region. Theaverage amounts of produced wastes in different business communes's type andsignificance of differences among average were defined in the analysis.There was indicated that the biggest waste production (per capita) havecommunes, where the dominant business activities are financed (or insurance),transport or tourism. The least wastes are generating with construction, energeticand agriculture as the main economic activity. ...

Determination of waste accumulation rate according to the number of inhabitants and population density using gis technique

The municipal waste is a waste type that includes predominantly household waste (domestic waste) with sometimes the addition of commercial wastes col-lected by a municipality within a given area. EU waste management principles were defined in the Waste Framework Directive 74/442/EWG. In 2007 in EU countries 261 Mio Mg waste (522 kg*(capita*year)-1) were generated. In Poland the production index was lower and came to 322 kg*(capita*year)-1. 179 communes of Malopolska were choused as the research area. Jenk's method (natural break algorithm, also known as the goodness of variance fit (GVF).) was used in the analysis. This method in the best way describes spatial data arrangement. The Jenks optimization method was used to classify features us-ing natural breaks in data values. It was used to minimize the squared deviations of the class means. Optimization was achieved when the quantity GVF was maxi-mized.There was made a spatial analysis of the waste production, numbers of inhabi-tants and population densities in Malopolska communes by means of GIS soft-ware. Based on the gotten results there were defined the average quantities of generated waste in the specified communes' classes. ...