泰国Uttaradit滑坡复发的潜在因素:以Laplae, muang Uttaradit和Tha Pla地区为例

Q3 Environmental Science Applied Environmental Research Pub Date : 2023-09-22 DOI:10.35762/aer.2023016
Panithan Sawatdikomon, Watit Khokthong, Nipada Santha
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引用次数: 0

摘要

泰国北塔拉迪省的拉普拉、muang Uttaradit、Tha Pla地区被认为是滑坡的高发地区。尽管如此,由于控制其发生的复杂因素,这场灾难很难解决。因此,利用滑坡易感性图进行潜在滑坡区域的预测已经能够作为一种重大的灾害对策来完成。利用地理信息系统(GIS)数据绘制滑坡易感性图。这些方法最初是通过选择与滑坡有关的潜在因素来进行的,这些因素包括岩性、坡度、坡向、平面曲率、剖面曲率、与河流的距离、土地利用和降雨量。对各因素进行系数加权,分析频率比(FR)。然后,将加权变量进行组合,并将其分为极低、低、中、高、极高五个不同的敏感性水平。最后,通过成功率和预测率对生成的滑坡敏感性图进行了验证。经分析,研究区北部和西北部主要为滑坡高易感性区和极高易感性区;边坡、土地利用、岩性等因素对滑坡危险性有潜在影响。此外,绘制的滑坡易发率图精度高,以曲线下面积(AUC)计算的成功率和预测率均在90%左右,有利于地质灾害管理和土地利用规划。滑坡易感性图和基于地理信息系统的方法可以应用于该区域,为福祉、社会和环境带来额外的好处。
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Potential Factors of Landslide Recurrence in Uttaradit, Thailand: A Case Study in Laplae, Mueang Uttaradit, and Tha Pla Districts
Laplae, Mueang Uttaradit, and Tha Pla district, Uttaradit province, Thailand are considered as high potential landslide areas. Still, this disaster is difficult to address because of complex factors controlling its occurrence. Therefore, the prediction of the potential landslide area using a landslide susceptibility map has been able to accomplish as a great strategy for the disaster. A landslide susceptibility map was produced by the geographic information system (GIS) data. The methods were initially conducted by the selection of potential factors related to landslides, which were lithology, slope, aspect, plan curvature, profile curvature, distance to stream, land use, and rainfall. All factors were assigned coefficients weight, and analyses frequency ratio (FR). Then, the weighted variables have been combined and ranked into five different susceptibility levels, which were very low, low, medium, high, and very high. Finally, the produced landslide susceptibility map has been validated by the success rate and prediction rate. After the analysis, the high and the very high landslide susceptibility area were dominantly covered in the northern and northwest parts of the study area; and the factor of slope, land use, and lithology potentially caused the landslide risk indicated by high frequency ratio values. In addition, the produced landslide susceptibility map had high accuracy, about 90% of success rate and prediction rate, calculated from the area under the curve (AUC), this map would be beneficial for geological hazard management and land use planning. The landslide susceptibility map and the GIS-based methods can be applied to the regional area with additional benefits to well-being, society, and the environment.
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Applied Environmental Research
Applied Environmental Research Environmental Science-Environmental Science (all)
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