预测未固结凝灰岩覆盖斜坡侵蚀情况的经验模型

F Tata Yunita, Indratmo Soekarno, Joko Nugroho, Untung Budi Santosa
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摘要

众所周知,火山爆发会对周围环境和社会造成多种危害,火山爆发后,空气中漂浮的火山灰会在短期内形成泻湖,这是经常发生的危害。降雨对火山灰等未固结的火山碎屑物质造成的侵蚀是拉哈尔形成的主要机制。根据火山爆发和流域条件的不同,拉哈尔的时间和规模也各不相同。侵蚀过程的变化受一系列当地因素的影响,包括火山灰厚度的粒度和空间分布、坡度和降雨强度。在一个长 3.00 米、宽 0.75 米、深 0.50 米的水槽中进行了实验室模拟实验,以研究火山灰侵蚀速率与三个驱动参数(即坡度、降雨强度和火山灰厚度)之间的关系。研究选取了三种坡度,分别代表缓坡(14.1%)、轻微坡(26.8%)和陡坡(46.6%)。同时,降雨强度范围为 0.65 至 1.85 毫米/分钟-1,火山灰层厚度变化范围为 1.00 厘米、2.50 厘米和 5.00 厘米。侵蚀率模型是以坡度、降雨强度、流量、临界剪应力与外加边界剪应力之比为自变量,通过尺寸分析生成的。变量系数是通过非线性回归分析对实验数据进行参数优化得到的。采用纳什-苏特克利夫模型效率(NSE)、一致指数(IOA)和均方根误差(RMSE)对侵蚀率模型的性能进行了检验。结果表明,火山灰侵蚀率模型的性能令人满意,NSE 为 0.75,IOA 为 0.95,RMSE 为 0.005 至 0.009。与其他基于沙质土壤材料的侵蚀模型相比,由于火山材料本身的特殊性,该模型被证明更适用于火山灰侵蚀。本研究中的火山灰侵蚀模型可用于预测火山碎屑的沉积量,作为火山灾害减灾的一部分。
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Empirical model for predicting erosion on slope covered by unconsolidated tephra

Volcanic eruption is known as multi-hazards to the surrounding environment and society causing the formation of lahar as the frequent hazards that shortly occurred due to airborne tephra after an eruption. Erosion triggered by rainfall on unconsolidated tephra material, such as volcanic ash, is the primary lahar initiation mechanism. The time and scale of lahars vary based on eruptions and watershed conditions. The variability of the erosion process is driven by a set of local factors including the grain size and spatial distribution of volcanic ash thickness, slope, and rainfall intensity. Laboratory simulation experiments were conducted in a 3.00 m long, 0.75 m wide, and 0.50 m deep flume to study the relationship of volcanic ash erosion rate to three driven parameters, namely slope, rainfall intensity, and volcanic ash thickness. Three slope gradients were selected to represent gentle (14.1%), mild (26.8%), and steep (46.6%) slopes. Meanwhile, the rainfall intensity ranged from 0.65 to 1.85 mm.min-1, and the variations of volcanic ash layer thickness were 1.00 cm; 2.50 cm; and 5.00 cm. The erosion rate model was generated from a dimensional analysis accommodating slope, rainfall intensity, flow discharge, and the ratio of critical and applied boundary shear stress as independent variables. The variable coefficients were obtained by parameter optimization of experiment data through nonlinear regression analysis. The erosion rate model performance was tested using the Nash-Sutcliffe model Efficiency (NSE), Index of Agreement (IOA), and Root Mean Square Error (RMSE). The performance of the volcanic ash erosion rate model was proven to be satisfactory with the NSE>0.75, IOA>0.95, and RMSE values ranging from 0.005 to 0.009. This model has proven applicable better for volcanic ash erosion than other erosion models which are sandy soil material-based experiments because of the specific characteristics of volcanic material itself. The volcanic ash erosion model in this study can be implemented to predict the sediment yield of tephra as part of volcanic disaster mitigation.

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