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Spatial Dynamics of Tsunami Prone Areas in Pariaman City,West Sumatera

机译:西苏马特巴里亚曼市海啸俯卧区的空间动力学

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摘要

Pariaman City is one of cities in Indonesia that has a very high incidence of earthquakes both on land and under the sea. This is caused the Pariaman City region is directly adjacent to the Indian Ocean which is the convergence for two tectonic plates, namely the Eurasian Plate and the Indo-Australian Plate. One of these plates goes down into the other plate then it happens the subduction. Subduction earthquakes that result from convergence two plates very active in generating tsunami waves. This study aims to analyze the spatial dynamics model for tsunami prone areas in Pariaman City by using the Cellular Automata-Markov Chains (CA-MC) method, this method is used to modeling tsunami prone areas in Pariaman City in 2030 based on driving factors that given to models. Driving factors used in this study are elevation, slope, distance from the coastline, distance from the road, and distance from the river. CA-MC presents land cover changes depend on neighboring cells. After the model is generated, then analyzed based on Pariaman City spatial plan in 2030 to be compared. To obtain tsunami prone areas, the prediction model for 2030 land cover is overlaid with tsunami hazard. The results showed that from 2018 to 2030, there was an increase in tsunami prone areas with low, medium and high classes in settlements areas.
机译:Pariaman City是印度尼西亚的城市之一,在陆地和海底上具有非常高的地震发生率。这是导致巴里亚曼城市地区直接毗邻印度洋,这是两个构造板块的融合,即欧亚板块和印度澳大利亚板块。其中一个板倒入另一个板,然后它发生了俯冲。汇聚地震导致融合两块板在产生海啸波时非常活跃。本研究旨在通过使用蜂窝自动机-Markov链(CA-MC)方法分析Pariaman City的海啸易发地区的空间动力学模型,该方法用于根据驾驶因素在2030年在2030年在Pariaman City建模海啸易发地区给予模特。本研究中使用的驱动因素是高程,坡度,距离海岸线的距离,距离路的距离以及距离河流的距离。 CA-MC显示陆地覆盖变化取决于邻近的细胞。生成模型后,基于2030年的Pariaman City Spatial计划分析。为了获得海啸易发的地区,2030年陆地覆盖的预测模型覆盖了海啸危险。结果表明,从2018年到2030年,海啸易发地区随着沉淀地区的低,中等和高等舱。

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