{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Particle tracking (under construction)\n", "\n", "*Prof. dr.ir. T.N.Olsthoorn*\n", "\n", "*Heemstede, 26 Oct 2016, 24 May 2017" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Flow lines as opposed to stream lines\n", "Particle tracking is one of the functions most used in a groundwater model. Contrary to stream lines that require steady-state 2D flow without sources and sinks, particles may always be tracked to create flow lines. Clearly, particles starting at the same location may not follow the same path if released at different times in a transient model. In the random walk technique particles are even given a random displacement at each time step to simulate dispersion, which alters the path of individual particles in an unforeseen manner, thus simulating dispersion.\n", "\n", "Particle tracking in finite difference models is quite straightforward. The flows perpendicular to the cell faces are known and, therefore, the specific discharge at theses faces may be approximated by dividing by their surface area. Average. As the porosity in the cells at either side of a cell face may differ, so may the groundwater velocity perpendicular to the cell face, even though the specific discharge does not.\n", "\n", "In finite difference modeling, the flow in `x`, `y` and `z`- direction, which is parallel to the axes of the model, is linearly interpolated between that at opposite cell faces. This implies that the flow in `x`-direction (and velocity for that matter) is only a function of `x`, the velocity in `y`-direction only a function of `y` and the one in `z`-direction only depends on `z`. This is consistent with the model assumptions and largely simplifies the analysis. However, for large cells it may not be accurate. So it may be necessary to use smaller cells where large variations in velocity occur in value and direction. On the other hand the elegance of this approach is that the divergence remains zero in a cell. This means no water is lost, so that the flow paths by themselves are consistent.\n", "\n", "## Theory\n", "\n", "It's easier to write equations in Lyx than it is to write them in markdown or pure LaTeX.\n", "\n", "The idea is to use relative coordinates.\n", "\n", "Because the elevation of cells in a 3D finite difference grid may vary from cell to cell in the same layer, it may jump when particles cross vertical cell faces. Exactly at such cell faces, the elevation is undetermined in such a grid. This makes it much more convenient to use relative coordinates, in which each cell of the grid is a cube of sides of length 1. To keep the travel time within each cell in each direction the same we divide the velocity in direction $x$ by $\\Delta x$ and likewise in the other directions.\n", "\n", "Because we only have the flows at the cell faces, we have to assume that the velocity varies linearly between two opposite cell faces. For the x-direction we thus obtain for an arbitrary cell $v_{x}=\\frac{Q_{xL}}{\\epsilon R\\Delta y\\Delta z}+\\left(\\frac{Q_{xr}-Q_{xl}}{\\epsilon R\\Delta y\\Delta z}\\right)\\left(\\frac{x-x_{L}}{\\Delta x}\\right)$\n", "\n", "where $\\epsilon$ is the effective porosity of the considered cell and $R$ is the retardation due to sorption ($R=1$ in the absence of sorption).\n", "\n", "To change to the velocity in the grid that consists of unit cubes, we have\n", "\n", "$$\n", "v_{u}\t=\\frac{v_{x}}{\\Delta x}\n", "\t=\\frac{Q_{x0}}{\\epsilon RV}+\\frac{Q_{x0}-Q_{x1}}{\\epsilon RV}\\left(\\frac{x-x_{0}}{\\Delta x}\\right)\n", "\t=v_{u0}+\\left(v_{u1}-v{}_{u0}\\right)\\left(u-u_{0}\\right)\n", "\t=v_{u0}+a_{u}\\left(u-u_{0}\\right)\n", "$$\n", "\n", "with\n", "\n", "$$\n", "a_{u}=v_{u1}-v_{u0}\n", "$$\n", "\n", "The index 0 denotes the left side of the cell and the index 1 denotes the right side. This corresponds with the relative local coordinates in the unit cube cell.\n", "\n", "All values $v_{u0}$, $v_{u1}$ and $a_{u}$ can be computed a priori for all cells in the relative grid. The same is true for the other two axes, $y$, and $z$, that become directions $v$ and $w$ in the relative grid.\n", "\n", "As long as we are within a single cell we can set\n", "\n", "$$\n", "U=u-u_{0}\n", "$$\n", "\n", "in which $0\\le U\\le1$ and $U$ is the local coordinate.\n", "\n", "The travel time in this cell from intial position $U_s$ to an arbitrary position $U$ then follows from\n", "\n", "$$\n", "\\frac{dU}{dt}=v_{u0}+a_{u}U\n", "$$\n", "\n", "$$\n", "dt=\\frac{dU}{v_{u0}+a_{u}U}\n", "$$\n", "\n", "$$\n", "dt=\\frac{1}{a_{u}}\\frac{d\\left(v_{u0}+a_{u}U\\right)}{v_{u0}+a_{u}U}\n", "$$\n", "\n", "$$\n", "a_{u}\\left(t-t_{s}\\right)=\\ln\\left(\\frac{v_{u0}+a_{u}U}{v_{u0}+a_{u}U_{s}}\\right)\n", "$$\n", "\n", "in which the index $s$ denotes the position at the start, $t=t_{s}$, $U=U_{s}$.\n", "\n", "If $v_{u_0} >0$, then we find the time that the particle hits the cell face by setting $U=1$. If $v_{u_0}<0$ we find it by setting $U=0$.\n", "\n", "Of course, this only makes sense if the argument of the $\\ln(-)$ is greater than 0. That is, if the velocities at the two opposite cell faces have the same sign. If not, the velocity is zero somewhere within the cell and the particle can never reach the opposite face. The arrival time may then immediately be set equal to $\\infty$.\n", "\n", "Another problem occurs when $a_{u}=0$, i.e. when the velocities at opposite cell faces are the same. In that case the velocity is constant so that the arrival time can be obtained from\n", "\n", "$$\n", "t-t_{s}=\\frac{U-U_{s}}{v_{u0}}\n", "$$\n", "\n", "Therefore we have to select the linear or the logarithmic equation to compute the time that the cell-face is it of set it to $\\infty$ when it will ever be hit, which is also true of both $v_{u0}$ and $a_{u}$ are zero.\n", "\n", "We do the same for the $v$ and the $w$ directions that correspond to $y$ and $z$ in the original grid.\n", "\n", "The result is three hitting times, of which the smallest one determines when the particle firs hits one of the 6 cell faces of the cube. If this time is smaller than our end-time, we move the particle to that face and subtract the time from the original time, to get the time that it still has to travel. If the time is larger than the end-time, we set the time to the end-time and move the particle accordingly, after which the simulation for this particle has finished.\n", "\n", "$$\n", "a_{u}U=\\left(v_{u0}+a_{u}U_{s}\\right)e^{a_{u}\\left(t-t_{s}\\right)}-v_{u0}\n", "$$\n", "\n", "$$\n", "U=U_{s}e^{a_{u}\\left(t-t_{s}\\right)}+\\frac{v_{u0}}{a_{u}}\\left(e^{a_{u}\\left(t-t_{s}\\right)}-1\\right)\n", "$$\n", "\n", "and for the linear case\n", "\n", "$$\n", "U=\\left(t-t_{s}\\right)v_{u0}+U_{s}\n", "$$\n", "\n", "For these formulas to work, it is necessary that the the sign of the velocities is in line with the direction of the axis. In the relative grid we let $u$, $v$ and $w$ run in the direction of increasing cell indices. This is the case for the $x$ direction where increasing $x$ values coincide with increasing column indices. This is not true for the $y$ and the $z$ directions, where the coordinates run opposite to the cell indices in those directions. Therefore, we have to invert the sing of the $Q_{y}$ and $Q_{z}$ arrays front up.\n", "\n", "When the end-time has not been reached, the particle crosses over to the next cell. We update its indices to that of the next cell and also update its relative coordinates $U$, $V$ and $W$ to reflect the starting position of the particle within the new cell.\n", "\n", "Particles may end-up in sinks, i.e. cell from which water leaves the model. We will assume that particles have left the model when the enter a cell that is a large-enough sink, that is, a cell for which the total extraction is larger than $sinkFrac\\times Q_{intot}$, where is chosen by the user as $0\\le sinkFrac\\le1$, usually 0.25 and $Q_{intot}$ is the total inflow of the cell through its cell faces.\n", "\n", "Relative coordinates can be readily computed by interpolation using cell grid indices as known values like so:\n", "\n", "$$\n", "u=\\mathrm{interp}\\left(xp,\\,xGr,\\,\\mathrm{arange}\\left(\\mathrm{len}\\left(xGr\\right)\\right)\\right)\n", "$$\n", "\n", "$$\n", "U=u-\\mathrm{floor}\\left(u\\right)\n", "$$\n", "\n", "where $xp$ is a grid coordinate, $xGr$ are the grid coordinates of the grid lines between the columns and $\\mathrm{arange()}$ is the Python function that generates numbers between 0 and the specified number ($\\mathrm{len}(xGr)$).\n", "\n", "Computing grid coordinates from relative coordinates works the other way around\n", "\n", "$$\n", "x=\\mathrm{interp}\\left(U+i_{u},\\,\\mathrm{arange}\\left(\\mathrm{len}\\left(xGr\\right)\\right),\\,xGr\\right)\n", "$$\n", "\n", "in which $i_{u}$ is the cell index of the particle along the $x$ direction, $u=U+i_{u}$, and $i_{u}=\\mathrm{floor}\\left(u\\right)$.\n", "\n", "In general, we should not have to worry about particles leaving the model, because the velocities perpendicular to all outer faces of the model are zero in the finite difference concept." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Implementation\n", "\n", "The implementation can be found in the module `./modules/mfpath.py`. It is about 900 lines, too long to include it in this notebook.\n", "\n", "\n", "The logic of the particle tracking model is as follows:\n", "\n", "* Switch to normalized coordinates $u$, $v$, and $w$\n", "* Compute the velocities at all cell faces in all directions (6 values per cell)\n", "* To track particles compute in local coordinates when they hit the walls of their local cell, which is a uit cube in th normalize grid. The local coordinats are all between 0 and 1 in each cell. To get the normalized coordinates, add the indices of the cell, $u = iu + U$ where $iu$ is the cell index along the $u$ axis and $U$ the local coordinate.\n", "* Doing this and knowning by the sight of the velocity $vu$ wich cell face will be hit, we obtain three hitting times per particle. The smallest time is chosen, together with the corresponding cell face.\n", "* The particle is moved over this smallest time interval, updating its three ocal coordinates.\n", "* The index of the cell is updated for the direction into which the particle hits the cell facce.\n", "* The local coordinate of the particle in this direction is reset: if the particle left into the direction of\n", "inceasing grid index, it is reset to zero and 1 is added to its cell index is, if it left in opposite direction, it is set to 1.0 and its cell index is reduced by one.\n", "* The coordinates in the other two directions where the particle did not hit the cell face, are left unchanged.\n", "\n", "The time in the previous cell is subtracted from the remaining time, after which the procedure is repreated, as long as the remaining time is still larger than zero. After the remaining time has been used up by all particles that are still moving, the next time in the series for which we want particle coordinates has been reached. The particle coordinates are then saved after having them back-transformed to those of the original grid. This play is repeated until all particles have reached the final simulation time, or until no more flowing particles are presented in the model, because the last ones have been swallowed by sinks or stagnated near water divides.\n", "\n", "Afterwards, the trackes can be displayed simultaneously or be simulated or animated. The stored partciles correspond to the times that were given to the model. The detail is therefore completely defined by the user." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Verification\n", "\n", "To check the particle tracking use some convenient analytical solutions\n", "\n", "A cross section, thickness `H`, porosity and recharge `n`, with a water divide at `x=0` center obeys the following relations\n", "\n", "$$\n", "v_{x}=\\frac{dx}{dt}=\\frac{nx}{\\epsilon H}\\rightarrow\\frac{dx}{x}=\\frac{n}{\\epsilon H}dt\\rightarrow\\ln\\left(x\\right)=\\frac{n}{\\epsilon H}t+C\\,\\,\\,\\,\\left(\\mbox{with}\\,t=t_{0},\\,x=x_{0}\\right)\n", "$$\n", "\n", "$$\n", "\\ln\\left(x_{0}\\right)=\\frac{n}{\\epsilon H}t_{0}+C\\rightarrow C=\\ln\\left(x_{0}\\right)-\\frac{n}{\\epsilon H}t_{0}\n", "$$\n", "\n", "$$\n", "\\ln\\left(\\frac{x}{x_{0}}\\right)=\\frac{n}{\\epsilon H}\\left(t-t_{0}\\right)\\rightarrow x=x_{0}\\exp\\left(\\frac{n}{\\epsilon H}\\left(t-t_{0}\\right)\\right)\n", "$$\n", "\n", "This can be used to check the travel time in the model in two directions.\n", "\n", "Another simple check is a well in a confined aquifer. Here we have\n", "\n", "$$\n", "Qt=\\epsilon H\\pi R^{2}\\rightarrow R=\\sqrt{\\frac{Qt}{\\pi\\epsilon H}}\n", "$$\n", "\n", "So set up a model, run it, contour the results, run fdm2path, and check its results by clicking a point near the well" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example\n", "\n", "The example used when we developed the stream lines is reused here to show both the stream lines and the tracked particles. They should match in the steady-state situaion, when particles are released on stream lines.\n", "\n", "Cross section (flat) with heads, streamlines and some particle tracks, obtained by clicking on the figure when fdm2path is running (backward traces as times were negative, see input above). There is great detail near the sheet piling where all the streamlines converge, which can only be seen by zooming in. " ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "myModules = './modules/'\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import sys\n", "\n", "if myModules not in sys.path:\n", " sys.path.insert(1, myModules)\n", " \n", "from importlib import reload" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Forward tracking, because T is ascending\n", "Job done, 19 particles tracked for time from t=0.0 to t=3650.0 in 99time steps.\n", " The results are in variable Pcl (a 'named_tuple 'Pcl'.\n", " whose importnat fields are Status, X, Y, Z, T, up, vp, wp.\n", " At the and there were:\n", " 1 particles still active\n", " 18 particles captured by sinks\n", " 0 particles stagnant\n", " The average arrival time of the captured particles is 0.05263157894736842\n", " \n", "\n" ] }, { "data": { "image/png": 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2SVXIl7L4B9ktOZ8Vuj8LH8M/vc3LIjvXq/hnxM1AN24qQHjv3uQmJQEgHB3Z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y4jnKHaOFwULc91Cu1C0hFeUDk0krl6f4JJR0XFnucM9HSiWD0tZtX1jHOMRlEV0tFwHUcWsJmf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\n3bqFkZQkqlUzdsabyYyrSyyPtToAMfsg2QuSvTj5cxh2uYKtBRR/jV0X2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aceJObsAMxm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\nRUSIcDHRjIZzmdirYlnWbZmEgjejuDE+N+cAAQHibDx1qry22yWyw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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import mfgrid\n", "import fdm\n", "import mfpath\n", "import pdb\n", "\n", "reload(fdm)\n", "\n", "axial = False\n", "Q = -2400 if axial else -240. # m3/d if axial else m2/\n", "por = 0.35 # [-], effective porosity\n", "\n", "xGr = np.logspace(-1, 4, 51)\n", "xGr = np.linspace(0, 2000, 101)\n", "yGr = np.array([-0.5, 0.5])\n", "zGr = np.array([0., -5, -50, -60, -100])\n", "gr = mfgrid.Grid(xGr, yGr, zGr, axial)\n", "\n", "IBOUND = gr.const(1); IBOUND[0, :, :] = -1 # head in top confining unit fixed\n", "k = gr.const(np.array([0.01, 10., 0.01, 20.]))\n", "FH = gr.const( 0.);\n", "FQ = gr.const( 0.)\n", "FQ[1, 0, 0] = Q # insecond layer\n", "\n", "# run flow model\n", "Out = fdm.fdm3(gr, (k, k, k), FQ, FH, IBOUND)\n", "\n", "Psi = fdm.psi(Out.Qx)\n", "\n", "#pdb.set_trace()\n", "\n", "# visualize\n", "title = 'Cross section Axial={0}, Q={1} {2}'.format(axial, Q, 'm3/d' if axial else 'm2/d')\n", "ax = plt.figure().add_subplot(111)\n", "xlim = gr.x[[0, -1]]\n", "ax.set(xlabel='x [m]', ylabel=['z [m]'], title=title, xlim=xlim)\n", "\n", "ax.contour(gr.xm, gr.zm, Out.Phi[:, 0, :], 30)\n", "ax.contour(gr.xp, gr.zp, Psi, 30)\n", "#plt.show()\n", "\n", "# path lines\n", "T=np.linspace(0, 3650, 100) #time series\n", "if True:\n", " Xp = np.linspace(200, 2000., 19)\n", " Yp = np.zeros(Xp.shape)\n", " Zp = np.ones(Xp.shape) * -5.\n", "else:\n", " Zp = np.linspace(-5., -95., 19)\n", " Yp = np.zeros(Zp.shape)\n", " Xp = np.ones(Zp.shape) * 1000.\n", "\n", "#Pcl = mfpath.particle_tracker(gr, Out, por, T, Xp, Yp, Zp)\n", "Pcl = mfpath.particle_tracker(gr, Out, gr.const(por), T=T, particles=(Xp, Yp, Zp), sinkfrac=0.75, verbose=False)\n", "\n", "mfpath.plot_particles(Pcl, axes=ax, first_axis='y', ls='none',\n", " markers='o ', mfc='green', markersize=4)\n", "\n", "plt.show()\n", "#R = np.sqrt(Q * T[-1] / (np.pi * por * np.sum(gr.dy))) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "TODO: More examples will follow. A number of them in 3D are already in the testsuite" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion\n", "\n", "We have implemented the particle tracking and used it both interactively as in batch mode. The method was verified by comparison with the stream lines drived from the stream function. Tracking particles allows computing travel times, both forward and backward tin time.\n", "\n", "Flow lines can be used where stream lines cannot, as flow lines don't require 2D divergence-free flow. Flow lines can also be used in transient situations. Flow lines with travel times are amongst the most used results of groundwater modeling, wherever pollution is involved.\n", "\n", "To even better track particles while including dispersion and diffusion, we could track massive amounts of particles. This also allows computation of arrival concentrations. This is the subject of the last chapter." ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python [default]", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 1 }