Reported trends are organized by domains from subsurface (i.e. stratigraphy below the Base of Groundwater Protection), overlying potable groundwater aquifers, soil and air quality measurements.
"Trend" is assessed using the Mann-Kendall test, using 1 minute data that have been aggregated to 30 minute average values. Increasing or decreasing trends over time are indicated by the type of arrow. The colour of the cell denotes the p-value.
Yellow - p-value between 0.01 and 0.05
Orange - p-value between 0.001 and 0.01
Red - p-value less than 0.001
Blank cells (grey) indicate no statistically significant trend is present.
Trend Last Week: Assessment of increasing or decreasing trend over last 7 days (10, 080 data points).
Trend Last Month: Assessment of increasing or decreasing trend over last 30 days (43, 200 data points).
Trend Last Year: Assessment of increasing or decreasing linear trend over last 365 days (518, 400 data points).
Last Week to Baseline: Assessment of trend between the most recent week of data and first week of data collected.
Potential Issues are assigned following a comparison of selected monitoring parameters and how they relate to each other based upon scenarios of interest.
Based on a particular combination of significant increasing/decreasing trends across particular measured values, the presence of a particular monitoring issue is flagged as "Issue" and the cell becomes red. If insufficient data are available to make an assessment, the cell is flagged as "Missing Data" and filled yellow. If these two conditions are not flagged, then the cell is remains grey in colour.
Particular scenarios evaluated in this demonstration include:
Air Quality
Indications of CO2 Migration from the subsurface to atmosphere
Indications of brine migration from the subsurface into potable aquifers and/or soil
Potential Change Points
Locations of potential change-points over the entire time-series are determined using a non-parametric approach for multivariate change-point detection (see below).
Vertical dashed lines indicate potential change points identified in time-series with sufficient data to run this analysis.
The content shown will change for different automated monitoring applications.
Nicholas A. James, David S. Matteson (2014). "ecp: An R Package for Nonparametric Multiple Change Point Analysis of Multivariate Data.", "Journal of Statistical Software, 62(7), 1-25", URL http://www.jstatsoft.org/v62/i07/
30 minute Data trends: Above Ground
Time-series plots of each individual sensor over the last day with all data aggregated to 30 minute averages.
Horizontal dashed lines display the lower and upper thresholds established for each sensor.
Purple dots indicate 30 minute averages which are outside these control limits (either above or below).
Red dots indicate that more than 10% of the observations for the 30 minute period assessed are missing.
30 minute Data trends: Soil
Time-series plots of each individual sensor over the last day with all data aggregated to 30 minute averages.
Horizontal dashed lines display the lower and upper thresholds established for each sensor.
Purple dots indicate 30 minute averages which are outside these control limits (either above or below).
Red dots indicate that more than 10% of the observations for the 30 minute period assessed are missing.
30 minute Data trends: Groundwater
Time-series plots of each individual sensor over the last day with all data aggregated to 30 minute averages.
Horizontal dashed lines display the lower and upper thresholds established for each sensor.
Purple dots indicate 30 minute averages which are outside these control limits (either above or below).
Red dots indicate that more than 10% of the observations for the 30 minute period assessed are missing.
30 minute Data trends: Subsurface
Time-series plots of each individual sensor over the last day with all data aggregated to 30 minute averages.
Horizontal dashed lines display the lower and upper thresholds established for each sensor.
Purple dots indicate 30 minute averages which are outside these control limits (either above or below).
Red dots indicate that more than 10% of the observations for the 30 minute period assessed are missing.
Explanation of QA/QC for All Sensors
The purpose of this table is to flag any quality assurance and/or quality control issues associated with any of the sensors operating across the monitoring domains - including system health. This is summarized across the preceding time intervals of the last 30 minutes, day, week, 90 days, and 365 days.
The percentage of observations which were missing or which were outside the control thresholds are indicated in each cell, respectively.
Cells where these percentages are >=10% are filled red, while in grey cells these percentages are < 10%.
Explanation of QA/QC 30 min
Time-series plots of each system health sensors over the last day with all data aggregated to 30 minute averages.
Horizontal dashed lines display the control limits / operational thresholds for that sensor.
Purple dots indicate 30 minute averages which are outside of the selected control limits (either above or below).
Red dots indicate that more than 10% of the observations for that 30 minute period are missing.
