首页> 外文会议>Asian conference on remote sensing;ACRS >MONITORING OF SURFACE DEFORMATION DUE TO EARTHQUAKE USING DINSAR TECHNIQUE AND PALSAR-2 DATA: A CASE STUDY OF THE GORKHA EARTHQUAKE IN NEPAL, 2015
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MONITORING OF SURFACE DEFORMATION DUE TO EARTHQUAKE USING DINSAR TECHNIQUE AND PALSAR-2 DATA: A CASE STUDY OF THE GORKHA EARTHQUAKE IN NEPAL, 2015

机译:使用DINSAR技术和PALSAR-2数据监测地震造成的表面变形:以2015年尼泊尔戈尔卡地震为例

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Once again Nepal was shocked by another earthquake with magnitude 7.8 Mw known as Gorkha Earthquake on April 25, 2015, after 81 years of the worst natural disaster that struck in 1934. Continued aftershocks occurred throughout Nepal within 15-20 minutes intervals, with one shock reaching a magnitude of 6.7 Mw on April 26, 2015. A major aftershock occurred on 12 May 2015, with 7.3 Mw. Geophysicists and other experts are warning for decades that Nepal is vulnerable to a deadly earthquake, particularly because of its geology as Nepal lies towards the southern limit of the diffuse collisional boundary where the Indian Plate under thrusts the Eurasian Plate, occupying the central sector of the Himalayan arc, nearly one-third of the 2,400 km (1,500 mi) long the Himalayas. Estimation of damaged especially surface deformation is an important part of the rebuilding planning process for natural disaster. Although field investigation is one of the best means for determination of surface deformation, this process is unable to explore a large area, especially in remote and inaccessible area. Remote Sensing technique, especially interferometric synthetic aperture radar (InSAR) is invaluable technique for assessment of surface deformation due to the natural disasters particularly earthquake. InSAR has the potential to provide important subsidence information over large areas because of its two-dimensional spatial coverage, competitive cost, data availability, and high vertical accuracy for remotely measuring the deformation of the ground and man-made structures from space. This technique can even achieve millimeter level accuracy using a technique called differential InSAR technique (DInSAR). However, the accuracy of this process depends on several factors such as availability of satellite data with optimal temporal and perpendicular baseline along with necessary ancillary data especially a high-resolution DEM (Digital Elevation Model). Therefore, this study is going to estimate the surface deformation in Nepal due to the Gorkha Earthquake using data from new L-band SAR sensor ALOS/PALSAR-2 which has been significantly improved in all aspects including resolution, observation band, and time lag compared to ALOS/PALSAR. Fine beam dual polarization (HH and HV) with 10 m resolution data that cover the earthquake areas were used to measure the surface deformation using the DInSAR technique. Results indicate that there was a large displacement of land surface due to the massive Gorkha Earthquake and subsequent aftershocks. However, the level of subsidence was varied from one place to another place probably due to the geological structure of the affected areas although most of the deformation was observed around the epicenters of the earthquake.
机译:在1934年最严重的自然灾害发生81年后,尼泊尔再次遭受2015年4月25日发生的7.8兆瓦级地震(称为高尔卡地震)的震惊。尼泊尔持续不断的余震发生时间间隔为15-20分钟,一次地震到2015年4月26日达到6.7兆瓦。2015年5月12日发生了7.3兆瓦的重大余震。数十年来,地球物理学家和其他专家一直在警告尼泊尔,尼泊尔容易遭受致命的地震袭击,特别是因为尼泊尔地处弥散碰撞边界的最南端,那里的印度板块正向欧亚板块冲刺,占据了该板块的中部,这是因为尼泊尔的地质状况。喜马拉雅山弧,占喜马拉雅山脉2400公里(1500英里)长的近三分之一。估计损坏尤其是表面变形是自然灾害重建规划过程的重要组成部分。尽管现场调查是确定表面变形的最佳方法之一,但此过程无法在大范围内进行勘探,尤其是在偏远且人迹罕至的地区。遥感技术,特别是干涉式合成孔径雷达(InSAR)是评估自然灾害(尤其是地震)造成的表面变形的宝贵技术。 InSAR具有二维空间覆盖范围,具有竞争力的成本,数据可获取性以及很高的垂直精度,可用于在大范围内提供重要的沉降信息,从而可以从地面远程测量地面和人造结构的变形。使用称为差分InSAR技术(DInSAR)的技术,该技术甚至可以实现毫米级的精度。但是,此过程的准确性取决于几个因素,例如具有最佳时间和垂直基线的卫星数据以及必要的辅助数据(尤其是高分辨率DEM(数字高程模型))的可用性。因此,本研究将使用来自新的L波段SAR传感器ALOS / PALSAR-2的数据估算尼泊尔因戈尔卡地震而造成的表面变形,该数据在分辨率,观察带和时滞等各个方面均得到了显着改善。到ALOS / PALSAR。使用DInSAR技术,使用覆盖地震区域的分辨率为10 m的细光束双极化(HH和HV)来测量表面变形。结果表明,由于大规模的戈尔卡地震和随后的余震,陆地表面发生了很大的位移。然而,尽管大部分变形是在地震震中附近观察到的,但沉降的程度在一个地方到另一个地方是可能变化的,这可能是由于受影响地区的地质结构所致。

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