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Research on dynamical mechanism of land desertification

机译:土地荒漠化动力机制研究

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Changes in climate,environment and human activity are the main factors responsible for the evolution of land desertification in Hainan Island, among these, the state's policy-oriented human activities are the key point to control the evolution of land system. The cellular automata model of land desertification can better describe the self-organization mechanism of the evolution of desertified land system, whose entropy tends to become small. Based on the analyses of the evolution processes and dynamical mechanism of land desertification in the western part of Hainan Island, the cellular automata model of land desertification was developed, land desertification state in the western Hainan Island in the 2010 was predicted and two experiments of representative virtual policies were conducted. This leads to the conclusions that: (1) The virtual laboratory of land desertification control policies established on the basis of the cellular automata techniques can effectively emulate, predict and visually express the spatial-temporal processes of land desertification dominated by a number of policies; (2) In the coming 5-10 years, if the present land development patterns and policies continue, land desertification in the western part of Hainan Island will tend to significantly expand, therefore some policies and measures favorable to reverse desertification must be adopted.
机译:气候,环境和人类活动的变化是导致海南岛土地沙漠化演变的主要因素,其中,国家以政策为导向的人类活动是控制土地系统演变的关键。土地荒漠化的元胞自动机模型可以较好地描述土地荒漠化系统演化的自组织机制,其熵趋于减小。在分析海南岛西部土地沙漠化的演变过程和动力学机制的基础上,建立了土地荒漠化的元胞自动机模型,预测了2010年海南岛西部土地沙漠化的状况,并进行了两次代表实验。实施了虚拟政策。由此得出以下结论:(1)在细胞自动机技术的基础上建立的土地荒漠化防治政策虚拟实验室可以有效地模拟,预测和直观地表达以许多政策为主导的土地荒漠化的时空过程; (2)在未来的5-10年中,如果继续按照目前的土地开发模式和政策发展,海南岛西部的土地荒漠化将趋于明显扩大,因此必须采取一些有利于逆转荒漠化的政策和措施。

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