Huan Yu; Kong Bo; Shuqing Zhang; Xin Pan

Wetlands Spatial-Temporal Distribution Multi Scale Simulation Using Multi-Agent System

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Author(s)

Huan Yu ^1,* Kong Bo ² Shuqing Zhang ³ Xin Pan ³

1. College of Earth Sciences, Chengdu University of Technology, Chengdu, China

2. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China

3. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2012.09.04

Received: 23 Oct. 2011 / Revised: 4 Jan. 2012 / Accepted: 16 Mar. 2012 / Published: 8 Aug. 2012

Index Terms

Multi-Agent System, Multi-Scale, Wetlands, Spatial-Temporal Distribution, Simulation

Abstract

The simulation of wetland landscape spatial-temporal distribution not only can reveal the mechanisms and laws of landscape evolution, but achieve the sustainable land use as well as provide supports for wetland conservation and management. In this report, the inland freshwater wetlands in the Sanjiang Plain of China were selected for wetland landscape changing process simulation studies. Results showed that both visual effects of simulation and prediction were good and the total accuracy co-efficiency of points to points was also significantly high (above 82%), which demonstrated the feasibility and effectiveness of wetland landscape spatial-temporal distribution simulation using Multi-Agent System (MAS). Scales exerted influence on visual effects, simulation accuracies and statistics of landscape index. Scale effects were obvious during simulation process using MAS. It was demonstrated that 60m was the best scale for simulation. It was shown that contagion index lines were exponential distribution while accuracy lines were lognormal distribution with the scale rising, which provided a reference for scale effect assessment and simulation scale selection.

Cite This Paper

Huan Yu, Kong Bo, Shuqing Zhang, Xin Pan, "Wetlands Spatial-Temporal Distribution Multi-Scale Simulation Using Multi-Agent System", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.9, pp.29-38, 2012. DOI:10.5815/ijisa.2012.09.04

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