Article ID Journal Published Year Pages File Type
5742127 Ecological Modelling 2017 11 Pages PDF
Abstract

•The SD method is used to integrate the water pollutant emission limit as a key variable into the established system model of environment - economy - society in Liaohe River Basin.•The development level of each agent is defined by NetLogo multi-agent simulation model, and the two-dimensional visualization shows the development level of each agent at the present time and the overall development state.•This article takes the lead in using NetLogo software for “environmental-economic-social” sustainability research. SD and Multi-Agent modeling, and realizes the real-time regulation of water pollutant discharge limits in the Liaohe River Basin from the macro and micro levels, and provides theoretical basis for the formulation and modification of future water pollutant discharge limits in the Liaohe River Basin.

Based on sustainable development theory and the method of system dynamics and multi-agent simulation, the environment-economy-society relationship model of Liaohe River Basin is constructed by coupling the system dynamics model with the multi-agent model in the software-NetLogo. This paper selects the Qinghe, Fanhe and Puhe River of Liaohe River Basin which are located in Shenyang and Tieling City as the study boundary, then the overall situation of environment, economy and society development is analyzed. At the same time, in order to simulate and predict the overall operation of the model under different policies, three kinds of development scenarios are established by changing some key variables including pollution abatement investment, fixed assets investment and industrial waste water production of ten thousand yuan industrial output value. The results show that the development under different policies can be simulated and predicted by this model, which will provide support for macroeconomic regulation and control the sustainable development strategy of Liaohe River Basin.

Related Topics
Life Sciences Agricultural and Biological Sciences Ecology, Evolution, Behavior and Systematics
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