Integrating X-MP radar data to estimate rainfall induced debris flow in the Merapi volcanic area
Integrating X-MP radar data to estimate rainfall induced debris flow in the Merapi volcanic area
复制标题
整合 X-MP 雷达数据来估计默拉皮火山区降雨引起的泥石流
DOI：
10.1016/j.advwatres.2017.10.017
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发表时间：
2017
影响因子：
4.7
通讯作者：
Masato Iguchi
中科院分区：
文献类型：
--
作者：
Magfira Syarifuddin;Satoru Oishi;Djoko Legono;Ratih Indri Hapsari;Masato Iguchi
2010年爆发后，印度尼西亚默拉皮火山在2010-2011年雨季期间发生了50多起火山碎屑流（拉哈尔）事件。火山泥流是在上游地区的强降雨之后发生的，残留的火山物质沉积在那里。估计在Mt.默拉皮是困难和不确定的，因为上游地区是危险的，无法进入。2016年2月17日，在喜马拉雅山东南侧的根多尔河上游地区发生了一次拉哈尔。在默拉皮火山山顶监测到69毫米/小时的最大降雨强度后，X波段多参数（X-MP）雷达探测默拉皮。在这项研究中，降雨强度估计从X-MP雷达产生边界流量的泥石流数值模型在流域尺度。数值模拟能够估计火山泥石流的发生和规模。雷达降雨数据的可靠性和萨博大坝对减少拉哈尔灾害影响的作用也得到了检验。拉哈尔的数值模拟结果与真实的情况基本一致。封闭式沙博坝使拉哈尔泥沙减少50%以上，水流延迟时间为40 min。然而，泥沙的堆积导致了二维区域流速的增加和更高的侵蚀速率。这项研究证明了有效的远程监测降雨结合泥石流数值模拟应用实际使用的灾害管理。
After the 2010 eruption, more than 50 volcanic debris flow (lahar) events occurred during the rainy season of 2010–2011 at Mount Merapi, Indonesia. The lahars occurred following rainfall of severe intensity in the upstream area, where remaining volcanic material was deposited. Estimation of rainfall-induced lahars at Mt. Merapi is difficult and uncertain because the upstream area is dangerous and inaccessible. On 17 February 2016, a lahar occurred in the upstream region of the Gendol River on the southeastern flank of Mt. Merapi after a maximum rainfall intensity of 69 mm/h was monitored on the peak of Mt. Merapi by X-band multi-parameter (X-MP) radar. In this study, rainfall intensity estimates from X-MP radar were applied to generate boundary discharge of a numerical model of debris flow at the catchment scale. The numerical simulation was able to estimate volcanic debris flow occurrence and magnitude. The reliability of radar-rainfall data and the effects of the sabo dam on reducing the impacts of lahar disaster were also examined. The numerical lahar simulation showed relevant results that were comparable to the real condition. The closed type sabo dam caused more than 50% lahar sediment decrement and a flow delay time of 40 min. However, the sediment accumulation has caused increasing flow velocity and higher erosion rate in the 2D area. This study demonstrated the effectiveness of remote monitoring of rainfall combined with numerical debris flow modeling for applied practical use in disaster management.