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A Dynamic Urban Lake Area Evolution Model Based on Multilevel Grid, Cellular Automata, and Multiagent System

机译:基于多级电网,蜂窝自动机和多透系统的动态城市湖区演化模型

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Urban lakes have been threatened by rapid expansion of cities in recent years. Their area changes could be extracted by remote sensing technologies. On this basis, a Dynamic Urban Lake Area Evolution Model (DULAEM) is proposed based on a multiagent system (MAS) and a cellular automata (CA) model. The DULAEM is integrated upon an Urban Lake Multilevel Grid (ULMG), which is composed of the vector model with the raster model. In the DULAEM, the CA layer is mainly used for modelling the interactions between urban lakes and their surrounding land use change through the activity of each cell; the MAS layer represents the actions of three typical human activities: government, real estate developers, and residents. These three agents have different actions in extent, strength, and priority according to their standpoints and functions. The CA layer and the MAS layer are both integrated upon the ULMG. Finally, a case study in Wuhan proves that the DULAEM can control the global relative error under 10%. Therefore, the DULAEM is able to simulate the area change of urban lakes dynamically. It is significant for the policy-making of lake protection and the optimal configuration of land resources in the lakeside.
机译:近年来城市的快速扩张,城市湖泊受到威胁。它们的区域可以通过遥感技术提取。在此基础上,基于多层系统(MAS)和蜂窝自动机(CA)模型提出了一种动态城市湖区演化模型(DULAEM)。 DuLaEM集成在城市湖泊多级网格(ULMG)上,该网格(ULMG)由带光栅模型的矢量模型组成。在Dulaem中,CA层主要用于通过每个细胞的活动来建模城市湖泊和周围土地利用变化的互动; MAS层代表了三个典型人类活动的行为:政府,房地产开发商和居民。这三种试剂在范围和职能的范围内具有不同的行动,力量和优先权。 CA层和MAS层都集成在ULMG上。最后,武汉案例研究证明,DULAEM可以控制10%以下的全球相对误差。因此,DuLaEM能够动态模拟城市湖泊的区域变化。湖泊保护的政策制定以及湖边土地资源的最佳配置是重要的。

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