README.md

raem

raem is an R package for modeling steady-state, single-layer groundwater flow under the Dupuit-Forchheimer assumption using analytic elements.

Installation

To install the released version:

install.packages("raem")

The development version of raem can be installed from GitHub with:

# install.packages("devtools")
devtools::install_github("cneyens/raem")

Documentation

The package documentation can be found at https://cneyens.github.io/raem/.

Example

Construct an analytic element model of an aquifer with uniform background flow, two extraction wells and a reference point.

Specify the aquifer parameters and create the elements:

library(raem)

# aquifer parameters ----
k = 10     # hydraulic conductivity, m/d
top = 10   # aquifer top elevation, m
base = 0   # aquifer bottom elevation, m
n = 0.2    # aquifer porosity, -

hr = 15    # head at reference point, m
TR = k * (top - base) # constant transmissivity of background flow, m^2/d

# create elements ----
uf = uniformflow(TR, gradient = 0.001, angle = -45)
rf = constant(xc = -1000, yc = 0, hc = hr)
w1 = well(xw = 200, yw = 0, Q = 250)
w2 = well(xw = -200, yw = -150, Q = 400)

Create the model. This automatically solves the system of equations.

m = aem(k = k, top = top, base = base, n = n, uf, rf, w1, w2)

Find the head and discharge at two locations: x = -200, y = 200 and x = 100, y = 200. Note that there are no vertical flow components in this model:

heads(m, x = c(-200, 100), y = 200)
#> [1] 13.64573 13.33314

discharge(m, c(-200, 100), 200, z = top) # m^2/d
#>              Qx         Qy Qz
#> [1,] 0.15028815 -0.2923908  0
#> [2,] 0.06041242 -0.3347206  0

Plot the head contours and element locations. First, specify the contouring grid:

xg = seq(-500, 500, length = 100)
yg = seq(-250, 250, length = 100)

Now plot:

contours(m, xg, yg, 'heads', col = 'dodgerblue', nlevels = 20)
plot(m, add = TRUE)

Compute particle traces starting along y = 200 at 20 intervals per year for 5 years and add to the plot:

paths = tracelines(m, 
                   x0 = seq(-450, 450, 50), 
                   y0 = 200, 
                   z0 = top, 
                   times = seq(0, 5 * 365, 365 / 20))

plot(paths, add = TRUE, col = 'orange')