基于粒子群优化投影寻踪模型的区域土地资源承载力综合评价

Comprehensive evaluation of regional land resources carrying capacity based on projection pursuit model optimized by particle swarm optimization

为了解决土地资源承载力评价中指标权重赋值客观性差的问题,提出了基于粒子群优化投影寻踪模型的土地资源承载力评价方法,并将其应用于2008年三江平原土地资源承载力综合评价中,结果表明,该方法不仅可有效避免指标赋权时的主观任意性,而且评价结果与实际相符,方法可行有效。评价结果显示,2008年三江平原区域整体土地资源承载力综合评价值为2.621,土地资源的利用对社会的发展和生态环境的保护支撑能力较强,但其对经济技术发展的保障程度较差;三江平原区域内各市县土地资源承载力差异较为显著,应结合区域资源特点,制定科学合理的土地开发利用方案和社会经济发展战略。

In order to solve the problem of poor objectivity of index weight assignment for land resources carrying capacity evaluation,the projection pursuit evaluation model optimized by particle swarm optimization algorithm was proposed and applied to evaluate the land resources carrying capacity of Sanjiang plain in 2008.The results showed that the model was feasible for effectively avoiding human disturbance in index weight assignment and obtaining the evaluation results in agreement with facts.The evaluation results indicated that the comprehensive evaluation value of the land resources carrying capacity grade of the whole Sanjiang plain was 2.621 in 2008,and the land resources utilization had strong carrying capacity for social development and environment protection but had low guarantee degree for economic and technical development.The land resources carrying capacity of the cities and counties showed significant differences in Sanjiang plain.Thus scientific programs for land use and socioeconomic development ought to be made according to the regional resources characteristics.