The Spatial Model using TRIGRS to determine Rainfall-Induced Landslides in Banjarnegara, Central Java, Indonesia

A. Muntohar, Gayuh Aji Prasetyaningtiyas, R. Hidayat
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Abstract

Severe landslides followed by debris flow were recorded to have occurred on 12 December 2014 and discovered to have ruined infrastructures and buried hundreds of peoples in Karangkobar subdistrict of Banjarnegara district, Central Java. There was, however, a high rainfall of up to 200 mm per day for two days before the disaster. Therefore, this research was conducted to predict and assess the landslide area using Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) version 2.0 model to calculate the pore water pressure and safety factor (FS) during rainfall infiltration. The TRIGRS model focused on spatial analysis. The data used as input for this analysis include the DEM, geological and geotechnical properties, infiltration variables, and rainfall intensity. Meanwhile, the FS value was observed to be lowest at the initial condition before rainfall infiltration by ranging between 1 and 1.2 and distributed at the steep slope area near Jemblung. The results were validated through the back analysis of a reference landslide event and the instability in the area was confirmed to be initiated in the 3 three hours of rainfall while the hazards area occurs majorly at the steep slopes with slope angles greater than 30o after 24 hours. The simulation results showed the steep slope area with an inclination angle greater than 30o is susceptible to failure during the rainfall infiltration due to FS < 1.2 while some locations with steep slopes were likely not to fail as indicated by FS >1.2. This study generally concluded that the TRIGRS was able to predict the location of the failure when compared with the results from the field observation of the landslide occurrences.
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利用TRIGRS确定印度尼西亚中爪哇省Banjarnegara地区降雨诱发滑坡的空间模型
据记录,2014年12月12日发生了严重的山体滑坡,随后发生泥石流,中爪哇省Banjarnegara县Karangkobar街道的基础设施遭到破坏,数百人被埋。然而,在灾难发生前的两天里,每天降雨量高达200毫米。因此,本研究采用瞬态降雨入渗和基于网格的区域边坡稳定性(TRIGRS) 2.0模型对滑坡区域进行预测和评价,计算降雨入渗过程中的孔隙水压力和安全系数(FS)。TRIGRS模型侧重于空间分析。用于该分析的输入数据包括DEM、地质和岩土特性、入渗变量和降雨强度。同时,降雨入渗前初始状态FS值最低,在1 ~ 1.2之间,分布在Jemblung附近的陡坡区。通过一次参考滑坡事件的反分析对结果进行了验证,确认该区域失稳是在降雨的3 ~ 3 h内开始的,24 h后的危险区主要发生在坡度大于30°的陡坡上。模拟结果表明,由于FS < 1.2,坡度大于30°的陡坡区域在降雨入渗过程中容易失效,而FS >1.2则表明部分陡坡区域可能不会失效。与滑坡发生的现场观测结果相比,本研究的总体结论是TRIGRS能够预测滑坡发生的位置。
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0.00%
发文量
20
审稿时长
15 weeks
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