The dataset contains waveform data of shallow seismic profiles at two locations in the western part of the Alai valley, Kyrgyzstan. At each location a “long” profile (~5 km and ~2.5 km length, respectively) and one or two short profiles (~120 m and ~250 m) were acquired, centered on known or presumed tectonic faults. As sources, a trailer-mounted weight drop and a hammer were used. The measurements were part of the CaTeNA project.
Within the sub-project "The recent deformation in the Pamir based on seismic and geodetic data, dynamic landslide-susceptibility and risk analysis, and seismic imaging of the North Pamir Thrust", which forms part of the international and interdisciplinary CaTeNA project (Climatic and Tectonic Natural Hazards in Central Asia), shallow seismic profiling at two locations has been carried out in the Alai Valley, southern Kyrgyzstan, to investigate the spatio-temporal evolution of the Pamir Frontal Thrust (PFT). Eight seismic profiles were acquired in September 2019 at two locations in the western part of the Alai valley, (1) in the village of Achyk Suu and b) at the Koman fault (SSW of the village of Kashka Suu). At each location a long profile (5 and 2.5km, respectively) and one or two short profiles (~250m) across interesting (presumed) fault structures were acquired.
Bedload transport is a key process in fluvial morphodynamics and hydraulic engineering, but is notoriously difficult to measure. The recent advent of stream-side seismic monitoring techniques provides an alternative to in-stream monitoring techniques, which are often costly, staff-intensive, and cannot be deployed during large floods. Seismic monitoring is a surrogate method requiring several steps to convert seismic data into bedload data. State-of-the-art approaches of conversion exploit physical models predicting the seismic signal generated by bedload transport. Here, we did an active seismic survey (2017-11) and used seismic data from a flood event (2016-02-22) on the Nahal Ehstemoa to constrain a seismic bedload model. We conducted the active seismic survey to determine the local seismic ground properties, i.e., the Green’s function. We also used water depth and bedload grain size distribution to constrain the seismic bedload model and were able to compare the bedload flux obtained from the seismic data using the model with high-quality independent bedload measurements from slot samplers on the site. The complementary non-seismic data is published in a separate data publication (Lagarde et al., 2020).