Monitoring Velocity Changes using Ambient Seismic Noise
SeisMIC (Seismological Monitoring using Interferometric Concepts) is a python software that emerged from the miic library. SeisMIC provides functionality to apply some concepts of seismic interferometry to different data of elastic waves. Its main use case is the monitoring of temporal changes in a mediums Green's Function (i.e., monitoring of temporal velocity changes).
SeisMIC will handle the whole workflow to create velocity-change time-series including: Downloading raw data, Adaptable preprocessing of the waveform data, Computating cross- and/or autocorrelation, Plotting tools for correlations, Database management of ambient seismic noise correlations, Adaptable postprocessing of correlations, Computation of velocity change (dv/v) time series, postprocessing of dv/v time series, plotting of dv/v time-series
In coastal Arctic permafrost regions, thermokarst lagoons represent the transition state from a freshwater lacustrine to a marine environment, and receive little attention regarding their role for greenhouse gas production and release. The geochemical features of a thermokarst lagoon were compared with two thermokarst lakes on the Bykovsky Peninsula in northeastern Siberia. This data set includes pH, major cations and anions, alkalinity, salinity, and dissolved iron (ferric and ferrous) concentrations from porewater of lake and lagoon sediments; the concentration and stable isotopic signature of CH4 in small plug samples from the sediment cores; total carbon (TC), total organic carbon (TOC), total nitrogen (TN), and total sulfur (TS) measured from the bulk sediment; and several biomarker indices (e.g. CPI, Paq) were calculated based on n-alkane concentrations to characterize the origin of organic matter (OM) in the lakes.