Diercks Manuel, Hussain Ekbal, Mildon Zoë K, Boulton Sarah J, Lazecký Milan
School of Geography Earth and Environmental Sciences University of Plymouth Plymouth UK.
British Geological Survey Natural Environment Research Council Environmental Science Centre Nottingham UK.
Tectonics. 2024 Nov;43(11):e2023TC008086. doi: 10.1029/2023TC008086. Epub 2024 Nov 24.
Quantifying interseismic deformation of fault networks which are predominantly deforming in a north-south direction is challenging, because GNSS networks are usually not dense enough to resolve deformation at the level of individual faults. The alternative, interferometric synthetic aperture radar (InSAR), provides high spatial resolution but is limited by a low sensitivity to N-S motion. We study the active normal fault network of Western Türkiye, which is undergoing rapid N-S extension, using InSAR. Since most faults in the study region are normal faults, we overcome the low N-S sensitivity by focusing on the vertical deformation component, which presents its own challenges. Sediment-filled grabens show rapid anthropogenically induced subsidence, whereas urban areas tend toward erroneous uplift signals. Additionally, the morphological relief results in topographic and atmospheric disturbances of the InSAR signal. Our solution to these challenges is a systematic analysis of the high-resolution vertical velocity field to deduce insights into regional deformation patterns, combined with detailed investigations of deformation along individual faults in the Western Anatolian Extensional Province. We show that tectonic deformation in the large graben systems is not restricted to the main faults. Smaller and seemingly less active faults are accommodating strain, favoring a continuum model of deformation over block models. We also observe a potential correlation between recent seismicity and active interseismic surface deformation. Observed deformation rates provide an estimate of current activity for many faults in the region. We discuss the potential and limitations of InSAR time series analysis for extensional regimes.
对主要沿南北方向变形的断层网络的震间变形进行量化具有挑战性,因为全球导航卫星系统(GNSS)网络通常不够密集,无法分辨单个断层水平上的变形。另一种方法,即干涉合成孔径雷达(InSAR),提供了高空间分辨率,但对南北向运动的灵敏度较低。我们使用InSAR研究正在经历快速南北向伸展的土耳其西部的活动正断层网络。由于研究区域的大多数断层都是正断层,我们通过关注垂直变形分量来克服南北向灵敏度低的问题,而这又带来了其自身的挑战。沉积物填充的地堑显示出快速的人为诱发沉降,而城市地区则往往出现错误的隆升信号。此外,地形起伏导致InSAR信号出现地形和大气干扰。我们应对这些挑战的方法是对高分辨率垂直速度场进行系统分析,以推断区域变形模式,同时结合对安纳托利亚西部伸展省单个断层沿线变形的详细调查。我们表明,大型地堑系统中的构造变形并不局限于主要断层。较小且看似不太活跃的断层也在承受应变,这有利于采用连续变形模型而非块体模型。我们还观察到近期地震活动与活动的震间地表变形之间存在潜在关联。观测到的变形速率为该区域许多断层的当前活动提供了一个估计。我们讨论了InSAR时间序列分析在伸展构造区域的潜力和局限性。