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HEAVY RAINFALL INDUCED FLOOD AND LANDSLIDE IN BENGKULU, INDONESIA

机译:大雨诱导洪水和印度尼西亚Bengkulu的滑坡

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Indonesia is one of the countries with a significant number of flood and landslide events induced by heavy rainfall that sustain significant losses. Synthetic Aperture Radar (SAR) images by Sentinel-1 are employed to investigate the impacts of heavy rainfall induces landslide, which has a high temporal resolution and easily accessible. The RGB composite detected flood and landslide areas from Dual-polarimetry by Sentinel-1. In this study, flood and landslide areas in the Bengkulu area in Indonesia were detected by Sentinel-1 data on April 27, 2019. Simultaneously Rainfall data from the Meteorological, Climatological, and Geophysical Agency of Indonesia (BMKG) was analyzed the hourly rainfall and cumulative rainfall to determine the possibility of flooding and landslides in their area. As a result. One of the rainfall observation stations, namely the ARG BP3 Tes, observed cumulative rainfall data, which reaching 5588.8 mm/day, with the highest hourly rainfall is 541.2 mm/hour on April 26, 2019. Google Imagery on May 2, 2019 showed some landslide's locations in the mountainous area. The landslide generates sediment that directly transports to the Batang Simpangaur river and causes the river's bottom shallower than usual conditions, which magnified in Bengkulu flooding.
机译:印度尼西亚是具有大量洪水和山体滑坡事件的国家之一,遭受大量损失的大量降雨。 Sentinel-1的合成孔径雷达(SAR)图像用于调查大雨诱导滑坡的影响,这具有高颞率和易于访问。 RGB复合物检测来自双距离的洪水和SandineRy的滑坡区域通过Sentinel-1。在这项研究中,印度尼西亚Bengkulu地区的洪水和滑坡地区由Sentinel-1数据检测到2019年4月27日。分析了印度尼西亚气象,气候学和地球物理学机构的降雨数据(BMKG),分析了每小时降雨累计降雨,以确定其地区洪水和山体滑坡的可能性。其结果。其中一个降雨观察站,即Arg BP3 TES,观察到累计降雨数据,达到5588.8毫米/天,每小时最高的每小时降雨量为541.2毫米/小时。2019年5月2日的Google Imagery展示了一些Landslide在山区的位置。山体滑坡产生沉积物,直接运输到巴塘司法龙河,并使河流的底部比平常的条件较浅,在Bengkulu洪水中放大。

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