Agent-based modeling and simulations of land-use and land-cover change according to ant colony optimization: a case study of the Erhai Lake Basin, China
Agent-based modeling and simulations of land-use and land-cover change according to ant colony optimization: a case study of the Erhai Lake Basin, China
复制标题
基于蚁群优化的土地利用和土地覆盖变化建模与模拟:以中国洱海流域为例
DOI:
10.1007/s11069-014-1303-4
复制
发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
王桂林
中科院分区:
文献类型:
--
作者:
许泉立;杨昆;杨玉莲;王桂林
The land-use structure and ecological service functions of the Erhai Lake Watershed are being altered by rapid socioeconomic development and urbanization, which will ultimately lead to the generation and aggravation of agricultural and urban non-point source pollution over the entire region. Therefore, the relationships between human activities and land-use/land-cover changes (LUCCs) must be studied to support scientific decisions regarding reasonable land planning and land use. This paper combines geographic information system technology for spatial analysis and the ant colony optimization artificial intelligence algorithm. Moreover, this study applies agent-based modeling to establish a spatiotemporal process model for LUCCs that effectively simulates the dynamic land-use changes in the basin. A selection is first made and evaluated for dynamic land-use change impact factors. Then, the agent classes and their rules in the LUCC processes are established. The program is designed using the Java programming language, and the model is implemented based on the Repast modeling platform. Finally, the models are validated, and the simulated results are analyzed and discussed. Some conclusions were drawn from the experiments, as well as some policies on land use were suggested.
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DOI:
--
发表时间:
2011
期刊:
--
影响因子:
--
作者:
Kang Tingjun
通讯作者:
Kang Tingjun
影响因子:
2.4
作者:
R. Glick
通讯作者:
R. Glick
DOI:
--
发表时间:
2007
期刊:
Application Research of Computers
影响因子:
--
作者:
Liang Yan-chun
通讯作者:
Liang Yan-chun
影响因子:
4.8
作者:
D. Robertson
通讯作者:
D. Robertson
DOI:
10.1007/978-90-481-8927-4_1
发表时间:
2012
期刊:
--
影响因子:
--
作者:
M. Batty;A. Crooks;L. See;A. Heppenstall
通讯作者:
M. Batty;A. Crooks;L. See;A. Heppenstall