DocumentCode
147677
Title
MAS / LUCC model simulate Land Use change in Erhai Lake Basin based on ant colony algorithm
Author
Guilin Wang ; Kun Yang ; Tao Liu ; Yulian Yang ; Quanli Xu ; Yanhui Zhu
Author_Institution
Sch. of Tourism & Geographic Sci., Yunnan Normal Univ. Kunming, Kunming, China
fYear
2014
fDate
25-27 June 2014
Firstpage
1
Lastpage
7
Abstract
Land Use and Land Cover Change (LUCC) is the essential content of the study of the current global environmental change and sustainable development, and has a profound influence on regional water cycle, atmospheric circulation, environmental quality, climate change, and terrestrial ecosystem productivity. It is also the most important reason causing biodiversity attenuation. The MAS/LUCC model of this paper is designed to explore the mechanism of the spatial and temporal evolution of the land use change, which results from the interaction among government, residents, farmers, and other agents, the interaction between multi-agent and the environment where the agents live. The model also introduces the ant colony optimization to improve the simulation accuracy. Taking Erhai Lake Basin as a case, MAS/LUCC used the watershed land use classification map in 2000 as the initial data, predicted and simulated the land use types and structure of the watershed in 2010, using the land use classification map of 2010 as validation data. The accuracy of the model is 79.71% or so by the point-to-point verification method, and the ant colony optimization improves the precision of 8.94% compared with the model without it. Thus, it can be able to provide auxiliary decision support for the government and land-use planners to develop a land policy.
Keywords
hydrological techniques; lakes; land cover; land use; Erhai lake basin; MAS-LUCC model; ant colony algorithm; atmospheric circulation; biodiversity attenuation; climate change; environmental quality; land cover change; land use change; point-to-point verification method; regional water cycle; terrestrial ecosystem productivity; Biodiversity; Computational modeling; Data models; Market research; Predictive models; Sociology; Statistics; Ant Colony Optimization; Erhai Lake Basin; MAS / LUCC Model; Multi-agent;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics (GeoInformatics), 2014 22nd International Conference on
Conference_Location
Kaohsiung
ISSN
2161-024X
Type
conf
DOI
10.1109/GEOINFORMATICS.2014.6950790
Filename
6950790
Link To Document