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Forecasting Municipal Solid Waste Generation in a Fast-growing Urban Region with System Dynamics Modeling by Brian Dyson; Ni-Bin Chang is a Environmental Science article available to read on EtoBox.

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Both planning and design of municipal solid waste management systems require accurate prediction of solid waste generation. Yet achieving the anticipated prediction accuracy with regard to the generation trends facing many fast-growing regions is quite challenging. The lack of complete historical records of solid waste quantity and quality due to insufficient budget and unavailable management capacity has resulted in a situation that makes the long-term system planning and/or short-term expansion programs intangible. To effectively handle these problems based on limited data samples, a new analytical approach capable of addressing socioeconomic and environmental situations must be developed and applied for fulfilling the prediction analysis of solid waste generation with reasonable accuracy. This study presents a new approach – system dynamics modeling – for the prediction of solid waste generation in a fast-growing urban area based on a set of limited samples. To address the impact on sustainable development city wide, the practical implementation was assessed by a case study in the city of San Antonio, Texas (USA). This area is becoming one of the fastest-growing regions in North

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Author

Brian Dyson; Ni-Bin Chang

Publisher

Elsevier BV

Published

2005

Language

EN

Field

Environmental Science (Physical Sciences)