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Short-term Response Analysis

The Short-term Response Analysis app provides multiple features to analyse the short-term response to different triggers (events or blasts) in time and space. In later versions, this app will replace all of the tools in the previous 'Omori Analysis Tools' app but version 1 currently only replaces the old 'response to blasting' window.

Key Features

The app has two main aspects: the simple response viewer and trigger assessment windows.

Response Viewer

Assess short-term responses with the following visualisation and analysis tools:

  • Responses 3D -- View the trigger locations and response events within range. Adjust the spheroid controls to include/exclude events related to the trigger. 'Nearby events' are events just outside the spatial or temporal range of the trigger.
  • Time after Trigger -- Chart the events as a function of time after trigger. Can plot events as a histogram or cumulatively. The time bin used for the histogram can be adjusted. When multiple triggers have been selected, can either view responses individually or stacked together. The best fit Modified Omori Law (MOL) is calculated automatically, if the calculation fails a message will appear in the control panel. You can override the MOL parameters (p, K and c) in the control panel.
  • Distance from Trigger -- Chart the events as a function of distance to trigger. Options for X distance, Y distance, Z distance, Horizontal distance and 3D distance. You can normalise the chart by the number of events or by the volume under consideration. Normalisation by number of events changes the Y axis to a percentage of events from 0-100%. Normalisation by volume changes the X axis so that the volume increases linearly as the distance increases (expanding sphere). If the cumulative events is linear for the chart normalised by volume, this represents a constant event density.
  • Density 2D -- View the distribution of events in the 2D plane (XY, XZ or YZ). Events are divided into spatial bins and then ranked from highest to lowest density. The grid points are coloured by cumulative events, where the accumulation is from highest to lowest density points.
  • Density 3D -- Similar to the Density 2D plot, uses the same grid spacing controls. Isosurfaces are used to show the cumulative events distribution in 3D.

Trigger Assessment

Analyse triggers (blasts, events or user-defined points) to assess which blasts should have an exclusion and which events should have an evacuation:

  • Triggers 3D -- View triggers in 3D and use the marker style colours and scales to assess the location of triggers that typically have a response.
  • Trigger Summary Tables -- Summarise triggers by various characteristics (blast tonnes, blast type, trigger date, trigger elevation, event magnitude, location). Use these tables to assess what type of blasts have the biggest response, what magnitude events typically have aftershocks, and how responses vary by depth.

Advanced Analysis Tools

Recent updates include several advanced analysis capabilities:

  • Re-entry Parameter Charts -- Determine re-entry using different parameters over time (based on user-defined time window size and step). Set threshold values to see when seismic data drops below thresholds. Parameters include energy, event count, hazard, background ratio and activity rate probability. For more information, see Tierney et al. 2019.
  • Frequency-Magnitude and Energy-Moment Charts -- Perform detailed analysis of responses to understand the underlying mechanism and event distribution.
  • Time vs Distance to Trigger -- Investigate trends in response seismicity dependent on distance from the trigger.
  • Trigger Distributions Chart -- Analyse the distribution of selected triggers to make better decisions on re-entry criteria and threshold levels.
  • Cumulative Distribution Charts -- View the full distribution of seismic event parameters for a trigger (or multiple selected triggers). Parameters include cumulative number of events, cumulative moment, cumulative apparent volume, activity rate, energy index, apparent stress frequency and b-value.

Training Resources

This window gives users tools to visualise the response to blasting both graphically and in 3D (using a spheroid around the blast or large event). The response can be modelled using the Modified Omori Law. A density plot of the response around the trigger is also given in 2D or 3D

Analyse the triggers themselves and not the response events. This helps to determine which locations have the most events.

You will need blast data to use this app. This video shows you how to manage your blast information.

Using this window, you can add blasts to the database using tagged blasts. The tagged blasts are clustered to give you a location and time

Demonstration