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基于系统动力学方法的人地系统优化调控研究 被引量:7

Optimized Regulation Model of Human-Earth System Based on System Dynamics
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摘要 人地系统是地理学最为重要的研究内容,区域可持续发展有赖于人地系统的合理结构与优化模式以及人们对此系统的有效调控.县级区域是一个具有复杂系统结构与功能的人地关系地域系统,本文以黄陵县为例,结合实地调查资料和统计数据,分析县域人地系统中人口、资源、经济和社会等结构特征.运用系统动力学理论与方法,建立人地系统演变的动态调控模型,对该系统进行多种发展方案调控试验,比较优选出县域人地系统协调发展的优化调控模式,为地区可持续发展提供决策依据. The study of human-earth system is the most important content in geography; regional sustainable development relies on the reasonable structure optimal model and effective regulation of the regional human-earth system. The county region is a complex and opening human-earth system. With Huangling county as an example, the environment, resources exploitation, economic development and structure evolvement of industry were systematically analyzed. And the systematical dynamic model was established and multi-projects were simulated with the theory and method of system dynamic. Optimized regulation models of the human-earth system evolvement were educed based on three projects: (1) Traditional evolvement method. The intensity of the resource exploitation and environment pollution is the least, but the speed of its economic development is the lowest, which restricts social sustainable development and economic reproduction. (2) Economic development method. The intensity of the resource exploitation and environment pollution is the worst and economic development mostly depends on high investment and pollution, which is a traditional mode of unsustainable development. (3) Harmonious development mode. The mode considers not only economic sustainable development and reasonable natural resources utilization, but also gives more attention to environment protection and harmonious development of industry, agriculture, tourism and so on. It is the most optimized mode of the human-earth system evolvement.
作者 程叶青
出处 《中国科学院研究生院学报》 CAS CSCD 2006年第1期83-90,共8页 Journal of the Graduate School of the Chinese Academy of Sciences
基金 国家自然科学基金重点项目(40131010) 中国科学院知识创新工程重大项目(KZCX1-SW-19)资助
关键词 系统动力学 人地系统 优化调控 system dynamics, the human-earth system, optimized regulation
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