A system dynamic modeling approach for evaluating municipal solid waste generation,landfill capacity and related cost management issues |
| |
| Authors: | Naushad Kollikkathara Huan Feng Danlin Yu |
| |
| Affiliation: | 1. Energy Field of Study, School of Environment, Resources and Development, Asian Institute of Technology, P.O. Box 4, KlongLuang, Pathumthani 12120, Thailand;2. School of Tourism Development, Maejo University, Chiangmai, Thailand;1. State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, China;2. Shanghai Institute of Pollution Control and Ecological Security, Shanghai, China;1. Graduate School of Economics, Kobe University, Kobe University, 2-1 Rokkodai, Nada, Kobe 657-8501, Japan;2. School of Economics, Shanghai University, 99 Shangda Road, Baoshan 200444, Shanghai, China;3. Research Institute for Economics and Business Administration, Kobe University, 2-1 Rokkodai, Nada, Kobe 657-8501, Japan |
| |
| Abstract: | As planning for sustainable municipal solid waste management has to address several inter-connected issues such as landfill capacity, environmental impacts and financial expenditure, it becomes increasingly necessary to understand the dynamic nature of their interactions. A system dynamics approach designed here attempts to address some of these issues by fitting a model framework for Newark urban region in the US, and running a forecast simulation. The dynamic system developed in this study incorporates the complexity of the waste generation and management process to some extent which is achieved through a combination of simpler sub-processes that are linked together to form a whole. The impact of decision options on the generation of waste in the city, on the remaining landfill capacity of the state, and on the economic cost or benefit actualized by different waste processing options are explored through this approach, providing valuable insights into the urban waste-management process. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
