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Mapping the liquefaction.induced soil moisture changes using remote sensing technique: an attempt to map the earthquake induced liquefaction around Bhuj, Gujarat, India

机译:使用遥感技术绘制液化引起的土壤水分变化的图:试图绘制印度古吉拉特邦布吉附近地震引起的液化的地图

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摘要

The Bhuj earthquake (Mw=7.9) occurred in the western part of India on 26th January 2001 and resulted in the loss of 20,000 lives and caused extensive damage to property. Soil liquefaction related ground failures such as lateral spreading caused significant damage to bridges, dams and other civil engineering structures in entire Kachchh peninsula. The Bhuj area is a part of large sedimentary basin filled with Jurassic, Tertiary and Quaternary deposits. This work pertains to mapping the areas that showed sudden increase in soil moisture after the seismic event, using remote sensing technique. Multi-spectral, spatial and temporal data sets from Indian Remote Sensing Satellite are used to derive the Liquefaction Sensitivity Index (LSel). The basic concept behind LSel is that the near infrared and shortwave infrared regions of electromagnetic spectrum are highly absorbed by soil moisture. Thus, the LSel is herein used to identify the areas with increase in soil moisture after the seismic event. The LSel map of Bhuj is then correlated with field-based observation on Cyclic Stress Ratio (CSR) and Cyclic Resistance Ratio (CRR), depth to water table, soil density and Liquefaction Severity Index (LSI). The derived LSel values are in agreement with liquefaction susceptible criteria and observed LSI (i?2 = 0.97). The results of the study indicate that the LSel after calibration with LSI can be used as a quick tool to map the liquefied areas. On the basis of LSel, LSI, CRR, CSR and saturation, the unconsolidated sediments of the Bhuj area are classified into three susceptibility classes.
机译:2001年1月26日,印度西部发生了普杰(Mw = 7.9)地震,造成20,000人丧生,财产遭到广泛破坏。与土壤液化有关的地面破坏(例如横向扩展)对整个喀奇赫半岛的桥梁,水坝和其他土木工程结构造成了严重破坏。布杰地区是一个大型沉积盆地的一部分,充满了侏罗纪,第三纪和第四纪的沉积物。这项工作涉及使用遥感技术绘制地震事件后土壤水分突然增加的区域。来自印度遥感卫星的多光谱,空间和时间数据集用于导出液化敏感性指数(LSel)。 LSel的基本概念是电磁光谱的近红外和短波红外区域被土壤水分高度吸收。因此,LSel在本文中用于识别地震事件后土壤湿度增加的区域。然后,将Bhuj的LSel图与基于现场的循环应力比(CSR)和循环阻力比(CRR),地下水位深度,土壤密度和液化强度指数(LSI)相关联。得出的LSel值与易液化的标准和观察到的LSI相符(i 2 = 0.97)。研究结果表明,LSI校准后的LSel可以用作绘制液化区域的快速工具。根据LSel,LSI,CRR,CSR和饱和度,将布杰地区的未固结沉积物分为三个敏感性等级。

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