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Create Contours of Pollutant Plume

Create Contours of Pollutant Plume

Part of the project in this study area involved characterizing both the current extent of the tritium plume and predicting its future extent. The file "MonitoringWells.csv" contains data from current readings of tritium concentrations (T0) as well as three future states modeled using separate algorithms. For this example, use the data for column T3 which corresponds to the plume extent for 2030.

Create Contour Plot of Tritium Plume Future State

Using the data in the files "MonitoringWells.csv" and "TankTerrainData.csv", create a contour plot over the top of the terrain to display the calculated extent of the tritium plume in 2030. Note that the solid white area in the upper right denotes the extent of the river at the 445 m contour.

Copy the code examples below to your IDL command line to create a graphic similar to this:

Read In and Grid the Terrain and Plume Data

Start by reading in the terrain and plume data files. The terrain data resides in the TankTerrainData.csv file in the \examples\data directory of your IDL installation. This data contains the surface terrain of our site in X, Y, Z coordinates (all in meters), and the fourth column contains the elevation of the surface of the underlying aquifer. The second file ("MonitoringWells.csv") contains the concentrations of tritium over the study area at four different times (T0=current, T1=2020, T2=2025, T3=2030).

In this example, we create templates using ASCII_TEMPLATE, then read in the data using READ_ASCII.

; Create the base terrain template and assign X, Y, Z, 
; and AQ as the variable names.
; Make sure to start the data at row 2 
; (row 1 contains column headers).
myTemplate = ASCII_TEMPLATE()
site = READ_ASCII('TankDataTerrain.csv', $
; Grid the terrain data using the Kriging method 
grid = GRIDDATA(site.X, site.Y, site.Z, $
   DIMENSION=1000, METHOD="Kriging")
; Create the template and read in the plume data.
; Field1=Labels, Field2=X, Field3=Y, Field4=T0,
; Field5=T1, Field6=T2, Field3=T3.
myTemplate2 = ASCII_TEMPLATE()
wells = READ_ASCII('MonitoringWells.csv', $
; Grid the plume data for T3.
gridT3 = GRIDDATA(wells.X, wells.Y, wells.T3, $
   DIMENSION=1000, METHOD="Kriging")

Create the Base Contour Map

Create the base contour plot. We will then overplot with the tritium plume contours, and later use SCATTERPLOT to indicate the tank locations.

Note that starting the index contour values at 445 coincides with the level of the river and will show up as white in the resulting map.


; Create a variable for a refactored color table. Use the REVERSE
; keyword of the COLORTABLE function on colortable #74 
; to flip the colors so that the darker colors are 
; in the lower areas of the terrain.
; Set up an index variable to hold the contour levels.
; Create the contour  plot from the gridded data. 
index = [445,450,460,470,480,490,500,510,520,530, $
myContour = CONTOUR(grid, RGB_TABLE=myCT, $
   C_VALUE=index, ASPECT_RATIO=.75, /FILL, $
   TITLE="Study Area Terrain with Tank Locations", $
   XTITLE="Meters (x10)", YTITLE="Meters (x10)")
myContour2 = CONTOUR(grid, COLOR='black', $

Create the Tritium Contours with Well Locations

Create the plot of simulated tritium plume extent for T3 (2030).

; Set up the variables for the locations of the wells. 
; Well locations are given in the same coordinate 
; system as the (x, y) coordinates of our initial terrain.
xLoc = [66,276,566,471,484]
yLoc = [210,221,146,483,313]
; Set up colors to use for the contours.
colors = ['indigo','purple','medium violet red','medium orchid', $
   'hot pink','fuchsia','deep pink']
; Create a second index to hold the contours for
; the tritium concentrations, then create the contours
; for the projected plume extent.
index2 = [20000,100000,200000,500000,1000000,1500000,2000000]
myContourT3 = CONTOUR(gridT3, ASPECT_RATIO=.75, C_LABEL_INTERVAL=0.75, $
   C_VALUE=index2, C_LABEL_SHOW=1, C_COLOR=colors, /OVERPLOT)
; Add an annotation in the lower left of the window.
; Use relative coordinates.
areaText2 = TEXT(-.15, -.17, TARGET=myContourB, /RELATIVE, $
   'Tritium concentrations in pCi/L', $
   COLOR='black', FONT_SIZE=8, FONT_STYLE='italic')
; Optionally, plot the locations of the source tanks/wells.
tanks = SCATTERPLOT(xLoc, yLoc, /SYM_FILLED, SYMBOL='star', $

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