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作 者:Wang Lu Huang Ningsheng Kuang Yaoqiu Zhou Jinhao Zhao Yuan Zhang Zhen Hu Yueming
机构地区:[1]Guangzhou Institute of Geochemistry,Chinese Academic of Science,Guangzhou 510640,Guangdong Province,China [2]University of Chinese Academic of Sciences,Beijing 100039,China [3]College of Information,South China Agricultural University,Guangzhou 510642,Guangdong Province,China [4]Guangdong Province Land Use and Remediation of the Key Laboratory,Guangzhou 510642,Guangdong Province,China
出 处:《International Journal of Agricultural and Biological Engineering》2014年第3期19-27,共9页国际农业与生物工程学报(英文)
基 金:The study is supported by the National Natural Science Foundation of China(No.41001310);and the Natural Science Foundation of China-Guangdong Joint Fund(U1301253);The authors greatly appreciate Bureau of Land and Resource Yangshan for providing valuable land consolidation data.
摘 要:In order to select suitable sites for farmland consolidation projects,correlation analysis and evolutionary algorithms were used to optimize the evaluation of ecological,social and economic factors,avoiding subjective selection and ignorance of spatial relationships among land attributes.Multi-objective Genetic Algorithms(MOGA)were applied to select the best sites from the perspective of spatial relationship and land attribute evaluation.With carefully defined restrictions and variables,multi-objective optimization is able to select several suitable sites for farmland consolidation projects.The results from a case study in Yangshan,Guangdong of China showed that the selected sites were on the central and southern Yangshan with expected flat terrain and abundant water resources.An empirical experiment also demonstrated that the proposed method is able to provide well selected sites for land consolidation projects.
关 键 词:farmland consolidation site selection evaluation index system multi-objective optimization genetic algorithm SUITABILITY
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