利用洪水排放法和二维水动力模型绘制塞梅鲁山雷杰利河的熔岩洪水危害图

Akbar Bagus Prawira, Entin Hidayah, R. U. A. Wiyono
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摘要

2021 年 12 月,塞梅鲁火山喷发并伴有极端降雨,导致熔岩洪水,即所谓的拉哈尔或泥石流。熔岩洪水摧毁了基础设施,造成人员伤亡。塞梅鲁火山周围的多条河流,包括雷加利河,都受到了这一现象的影响。为解决这一问题,需要开展一项研究,通过绘制危害地图,分析特定时间间隔内熔岩洪水的发生情况和频率。本研究旨在使用 HEC-HMS 和 HEC-RAS 耦合软件以及熔岩洪水排放方法,绘制不同重现期的熔岩洪水危害图。HEC-HMS 软件用于模拟水文过程,以获得熔岩洪水排放量,而 HEC-RAS 则用于模拟二维(2D)熔岩洪水危害图。本研究建模的输入参数包括降雨强度、土壤类型、土地覆盖、河流距离、坡度和高程。结果表明,洪水面积在 2 年重现期(Q2)占总研究区域的 9.55%,在 Q10 占 11.80%,在 Q50 占 14.10%,在 Q200 占 15.72%,总体验证均方根误差(RMSE)为 0.16。这些变化是由每个回流阶段的排水量和河流的浅水深度决定的,浅水深度导致的溢流超出了河流的容纳能力。因此,这项研究表明,这些模型成功地生成了绘制雷加利河熔岩洪水风险图的可靠模型。这些发现可以帮助政府通过适当的适应和缓解措施来减少灾害损失。
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Mapping the Lava Flood Hazard Using the Flood Discharge Approach and 2D Hydrodynamic Modeling at the Rejali River, Mount Semeru
In December 2021, Mount Semeru experienced an eruption accompanied by extreme rainfall, which resulted in lava floods, known as lahars or debris flows. The lava flood destroyed infrastructure, resulting in loss of life. Various rivers surrounding Mount Semeru, including the Rejali River, experienced the effects of this phenomenon. To address this, a study is needed to analyze the occurrence and frequency of lava floods over specific time intervals through the creation of a hazard map. This study aims to map the hazard of lava floods for various return periods using a coupled HEC-HMS and HEC-RAS software alongside a lava flood discharge approach. The HEC-HMS software is used to simulate hydrological processes, to obtain the lava flood discharge, while the HEC-RAS is used to model a two-dimensional (2D) lava flood hazard map. The input parameters of the modeling in this study are rainfall intensity, soil type, land cover, river distance, slope, and elevation. The results show that the flood area covers 9.55% of the total study area by 2 year return period (Q2), 11.80% by Q10, 14.10% by Q50, and 15.72% by Q200 with an overall validation Root Mean Square Error (RMSE) of 0.16. These changes are determined by the discharge volume from each return phase and the river's shallow depth, which causes overflow beyond the river's ability to accommodate the flow. Thus, this study suggests that the models successfully generated a reliable model for mapping the risk of lava floods on the Rejali River. These findings can help the government reduce disaster losses through adequate adaptation and mitigation initiatives.
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