{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16\n"
     ]
    }
   ],
   "source": [
    "#Lab 9 Advection Diffusion\n",
    "#Explore the movement of salt in a shallow estuarine channel\n",
    "#1 April 2011  MH\n",
    "\n",
    "fr = 1;\n",
    "# Define the Parameters (be sure to convert lengths to cm)  UNITS!!!\n",
    "# Note *a and 8b include running the model again to see how results change\n",
    "L=2e6;       #length of estuary (20 km)\n",
    "h=1.5e3;     #depth of estuary (15 m)\n",
    "dx=5e4;      #horizontal grid spacing (0.5 km)\n",
    "dz=1e2;      #vertical grid spacing (1 m)\n",
    "Kh=1e6;      #horizontal diffusivity (10^6 cm^2/s)\n",
    "Kv=0.110;    #vertical diffusivity (two values 0.1 and 10 cm^2/s)\n",
    "B0=3e-5;     #applied pressure gradient (three values 7e-5, 0, -7e-5 cm^2/s)\n",
    "Mu=1;        #dynamic viscosity (g/(cm*s))\n",
    "Uo=8;        #applied surface velocity (cm/s)\n",
    "Vm=0.000125; #growth rate in inverse seconds\n",
    "Cmax=5.0;\n",
    "tideamp=10.0;\n",
    "\n",
    "Ks=1.0;   #half saturation coefficient\n",
    "dt=200;   #Set up time and nodes\n",
    "\n",
    "X=list()  #create X=0:dx:L\n",
    "I = 0\n",
    "while I <= L:\n",
    "    X.append(I)\n",
    "    I = I + dx\n",
    "\n",
    "Z=list()  #create a list of depth locations (Z=0:dz:h)\n",
    "I = 0\n",
    "while I <= h:\n",
    "    Z.append(I)\n",
    "    I = I + dz\n",
    "\n",
    "Ntimes=2500 # total number of timesteps\n",
    "nz = math.floor(h/dz+1) # number of z (depth) elements\n",
    "\n",
    "print(nz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[ 5.     5.     5.    ...  5.     5.     5.   ]\n",
      "  [ 5.625  0.     0.    ...  0.     0.     0.   ]\n",
      "  [ 6.25   0.     0.    ...  0.     0.     0.   ]\n",
      "  ...\n",
      "  [28.75   0.     0.    ...  0.     0.     0.   ]\n",
      "  [29.375  0.     0.    ...  0.     0.     0.   ]\n",
      "  [30.    30.    30.    ... 30.    30.    30.   ]]\n",
      "\n",
      " [[ 5.     5.     5.    ...  5.     5.     5.   ]\n",
      "  [ 5.625  0.     0.    ...  0.     0.     0.   ]\n",
      "  [ 6.25   0.     0.    ...  0.     0.     0.   ]\n",
      "  ...\n",
      "  [28.75   0.     0.    ...  0.     0.     0.   ]\n",
      "  [29.375  0.     0.    ...  0.     0.     0.   ]\n",
      "  [30.    30.    30.    ... 30.    30.    30.   ]]\n",
      "\n",
      " [[ 5.     5.     5.    ...  5.     5.     5.   ]\n",
      "  [ 5.625  0.     0.    ...  0.     0.     0.   ]\n",
      "  [ 6.25   0.     0.    ...  0.     0.     0.   ]\n",
      "  ...\n",
      "  [28.75   0.     0.    ...  0.     0.     0.   ]\n",
      "  [29.375  0.     0.    ...  0.     0.     0.   ]\n",
      "  [30.    30.    30.    ... 30.    30.    30.   ]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 5.     5.     5.    ...  5.     5.     5.   ]\n",
      "  [ 5.625  0.     0.    ...  0.     0.     0.   ]\n",
      "  [ 6.25   0.     0.    ...  0.     0.     0.   ]\n",
      "  ...\n",
      "  [28.75   0.     0.    ...  0.     0.     0.   ]\n",
      "  [29.375  0.     0.    ...  0.     0.     0.   ]\n",
      "  [30.    30.    30.    ... 30.    30.    30.   ]]\n",
      "\n",
      " [[ 5.     5.     5.    ...  5.     5.     5.   ]\n",
      "  [ 5.625  0.     0.    ...  0.     0.     0.   ]\n",
      "  [ 6.25   0.     0.    ...  0.     0.     0.   ]\n",
      "  ...\n",
      "  [28.75   0.     0.    ...  0.     0.     0.   ]\n",
      "  [29.375  0.     0.    ...  0.     0.     0.   ]\n",
      "  [30.    30.    30.    ... 30.    30.    30.   ]]\n",
      "\n",
      " [[ 5.     5.     5.    ...  5.     5.     5.   ]\n",
      "  [ 0.     0.     0.    ...  0.     0.     0.   ]\n",
      "  [ 0.     0.     0.    ...  0.     0.     0.   ]\n",
      "  ...\n",
      "  [ 0.     0.     0.    ...  0.     0.     0.   ]\n",
      "  [ 0.     0.     0.    ...  0.     0.     0.   ]\n",
      "  [30.    30.    30.    ... 30.    30.    30.   ]]]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:16: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n",
      "  app.launch_new_instance()\n",
      "/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n",
      "/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:32: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n"
     ]
    }
   ],
   "source": [
    "#set up plot parameter for velocity field\n",
    "xV = np.linspace(0.0, L, num=11)\n",
    "zV = np.linspace(0.0, h, num=11)\n",
    "XV,ZV = np.meshgrid(xV,zV)\n",
    "Uv=np.zeros(len(XV));\n",
    "\n",
    "utS=np.zeros(Ntimes);\n",
    "utB=np.zeros(Ntimes);\n",
    "utt=np.zeros(Ntimes);\n",
    "\n",
    "#Set up salinity matrix\n",
    "s = (math.floor(h/dz+1),math.floor(L/dx+1),Ntimes) #3-D collection -> 2-D location and timestep\n",
    "S = np.zeros(s)            #initialize with 0s\n",
    "\n",
    "#Initial salinity\n",
    "S_initial=np.linspace(5, 30, num=(L/dx+1)) #create a gradient from 5 to 30 over horizontal extent\n",
    "for i in range(0, math.floor(h/dz)):\n",
    "    S[i,:,0]=S_initial; #fill the initial timestep for all horizontal and depth\n",
    "\n",
    "#Boundary Conditions - 5 for all western all timesteps, 30 for all eastern all timesteps\n",
    "S[:,0,:]=5;\n",
    "S[:,math.floor(L/dx),:]=30;\n",
    "\n",
    "#Set up concentration matrices\n",
    "c = (math.floor(h/dz+1),math.floor(L/dx+1),Ntimes) #Nitrogen -> 3-D collection -> 2-D location and timestep\n",
    "C = np.zeros(c)            #initialize with 0s\n",
    "p = (math.floor(h/dz+1),math.floor(L/dx+1),Ntimes) #Phytoplankton -> 3-D collection -> 2-D location and timestep\n",
    "P = np.zeros(p)            #initialize with 0s\n",
    "        \n",
    "#Initial concentration\n",
    "C_initial=np.linspace(Cmax, 0, num=(L/dx+1)) #gradient away from shore (upwelling)\n",
    "P_initial=np.linspace(0, 0, num=(L/dx+1))    #no phytoplankton at start\n",
    "\n",
    "for i in range(0, math.floor(h/dz)):\n",
    "    C[i,:,0]=C_initial;\n",
    "    P[i,:,0]=P_initial;\n",
    "\n",
    "#Boundary Conditions: depth, distance, time\n",
    "C[:,0,:]=Cmax;\n",
    "C[:,math.floor(L/dx),:]=0;\n",
    "C[0,:,:]=5;\n",
    "\n",
    "P[:,0,:]=0;\n",
    "P[0:5,math.floor(L/dx),:]=5;\n",
    "P[6:math.floor(h/dz),math.floor(L/dx),:]=0;\n",
    "\n",
    "print(S)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Calculate the average flux of a day\n",
    "sumU=np.zeros(len(Z));\n",
    "\n",
    "#initiate plot\n",
    "plt.figure(figsize=(16, 8))\n",
    "\n",
    "for k in range(1, math.floor(Ntimes/10)):\n",
    "    B=B0*math.sin(k*dt/(24*3600)*2*math.pi)\n",
    "    U = np.multiply((0.5*B/Mu),np.power(Z,2)) - np.multiply((0.5*B*h/Mu),Z) + np.multiply((Uo/h),Z) -(Uo/2.0)   \n",
    "    plt.scatter(U, Z, c=Z, s=15, edgecolor='none')\n",
    "\n",
    "sumU=sumU+U;\n",
    "\n",
    "plt.colorbar()\n",
    "\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Lp3=math.floor((L/dx)/3);\n",
    "Lp6=math.floor((L/dx)*2/3);\n",
    "\n",
    "averageU=sumU/(24*3600);\n",
    "\n",
    "#initiate plot\n",
    "plt.figure(figsize=(16, 8))\n",
    "\n",
    "plt.xlabel(\"Velocity(cm/s)\", fontsize=14)\n",
    "plt.ylabel(\"Depth(cm)\", fontsize=14)\n",
    "\n",
    "plt.scatter(averageU, Z, c=Z, s=10, edgecolor='none')\n",
    "\n",
    "plt.colorbar()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1728 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### As subplots\n",
    "\n",
    "B=B0;\n",
    "Ures = np.multiply((0.5*B/Mu),np.power(Z,2)) + np.multiply((Uo/h)-(0.5*B*h/Mu),Z)\n",
    "\n",
    "#Calculate salinity over time\n",
    "for k in range(1, Ntimes-800):  #TIME\n",
    "    #B=B0*m.sin(k*dt/(24*3600)*2*m.pi);\n",
    "    utide=tideamp*math.sin(k*dt/(12.0*3600.0)*2.0*math.pi);\n",
    "    U=Ures+utide;\n",
    "    \n",
    "    utS[k]=U[13];\n",
    "    utB[k]=U[3];\n",
    "    utt[k]=(k*dt)/(3600*24);\n",
    "\n",
    "    #velocityh = np.power(np.multiply((0.5*B/Mu),zV),2) + np.multiply(((Uo/h)-(0.5*B*h/Mu)),zV)\n",
    "    #velocityh=np.transpose(velocityh)\n",
    "    #Uh = np.tile(velocityh,(1, 10))\n",
    "    \n",
    "    C[:,0,k]=5\n",
    "    P[0:5,math.floor(L/dx),k]=5\n",
    "    \n",
    "    for j in range(1, math.floor(math.floor(L/dx))):  #LENGTH\n",
    "        for i in range(1, math.floor(math.floor(h/dz))):  #DEPTH\n",
    "            Nsrc=Vm*(C[i][j][k-1]/(Ks+Cmax))*P[i][j][k-1]*(i/(h/dz))*dt\n",
    "            \n",
    "            if (U[i]>0):\n",
    "                S[i][j][k]=S[i][j][k-1]-U[i]*(dt/dx)*(S[i][j+1][k-1]-S[i][j][k-1])+Kh*((dt/(dx**2)))*(S[i][j+1][k-1]-2*S[i][j][k-1]+S[i][j-1][k-1])+Kv*((dt/(dz**2)))*(S[i+1][j][k-1]-2*S[i][j][k-1]+S[i-1][j][k-1])\n",
    "                C[i][j][k]=C[i][j][k-1]-U[i]*(dt/dx)*(C[i][j+1][k-1]-C[i][j][k-1])+Kh*((dt/(dx**2)))*(C[i][j+1][k-1]-2*C[i][j][k-1]+C[i][j-1][k-1])+Kv*((dt/(dz**2)))*(C[i+1][j][k-1]-2*C[i][j][k-1]+C[i-1][j][k-1])\n",
    "                P[i][j][k]=P[i][j][k-1]-U[i]*(dt/dx)*(P[i][j+1][k-1]-P[i][j][k-1])+Kh*((dt/(dx**2)))*(P[i][j+1][k-1]-2*P[i][j][k-1]+P[i][j-1][k-1])+Kv*((dt/(dz**2)))*(P[i+1][j][k-1]-2*P[i][j][k-1]+P[i-1][j][k-1])\n",
    "                C[i][j][k]=C[i][j][k]-Nsrc\n",
    "                if (C[i][j][k] < 0.0):\n",
    "                    C[i][j][k]=0.0\n",
    "                P[i][j][k]=P[i][j][k]+Nsrc\n",
    "            else:\n",
    "                S[i][j][k]=S[i][j][k-1]-U[i]*(dt/dx)*(S[i][j][k-1]-S[i][j-1][k-1])+Kh*((dt/(dx**2)))*(S[i][j+1][k-1]-2*S[i][j][k-1]+S[i][j-1][k-1])+Kv*((dt/(dz**2)))*(S[i+1][j][k-1]-2*S[i][j][k-1]+S[i-1][j][k-1])\n",
    "                C[i][j][k]=C[i][j][k-1]-U[i]*(dt/dx)*(C[i][j][k-1]-C[i][j-1][k-1])+Kh*((dt/(dx**2)))*(C[i][j+1][k-1]-2*C[i][j][k-1]+C[i][j-1][k-1])+Kv*((dt/(dz**2)))*(C[i+1][j][k-1]-2*C[i][j][k-1]+C[i-1][j][k-1])\n",
    "                C[i][j][k]=C[i][j][k]-Nsrc\n",
    "                if(C[i][j][k] < 0.0):\n",
    "                    C[i][j][k]=0.0\n",
    "                P[i][j][k]=P[i][j][k-1]-U[i]*(dt/dx)*(P[i][j][k-1]-P[i][j-1][k-1])+Kh*((dt/(dx**2)))*(P[i][j+1][k-1]-2*P[i][j][k-1]+P[i][j-1][k-1])+Kv*((dt/(dz**2)))*(P[i+1][j][k-1]-2*P[i][j][k-1]+P[i-1][j][k-1])\n",
    "                P[i][j][k]=P[i][j][k]+Nsrc\n",
    "    \n",
    "    S[0,:,k]=S[1,:,k] #depth, dist, time\n",
    "    S[len(S)-1,:,k]=S[len(S)-2,:,k]\n",
    "    \n",
    "    for i in range(1, math.floor(nz)):\n",
    "        if (U[i]>=0):\n",
    "            S[i][math.floor(L/dx)][k]=S[i][math.floor(L/dx-1)][k]\n",
    "        else:\n",
    "            S[i][math.floor(L/dx)][k]=30.0\n",
    "\n",
    "    #clean up boundary conditions\n",
    "    C[0,:,k]=C[1,:,k] #depth, dist, time\n",
    "    C[len(C)-1,:,k]=C[len(C)-2,:,k]\n",
    "    \n",
    "    P[0,:,k]=P[1,:,k] #depth, dist, time\n",
    "    P[len(P)-1,:,k]=P[len(P)-2,:,k]\n",
    "        \n",
    "    #if (k>=100 & k%60==0):\n",
    "    if (k==1200): #pick a time step and plot\n",
    "        plt.subplots(3,1, figsize=(16,24))\n",
    "        \n",
    "        plt.subplot(311)        \n",
    "        plt.imshow(S[:,:,k], interpolation=\"nearest\", cmap=\"viridis\")\n",
    "\n",
    "        ax = plt.gca()\n",
    "        ax.invert_yaxis()        \n",
    "        \n",
    "        plt.ylabel('Height above bottom, m', fontsize=14)\n",
    "        plt.xlabel('Distance along West Passage, km', fontsize=14)\n",
    "        plt.title('Salinity (time is ' + str(k*dt/3600) + ' hours)', fontsize=18);\n",
    "        \n",
    "        plt.colorbar()\n",
    "         \n",
    "        plt.subplot(312)\n",
    "        plt.imshow(C[:,:,k], interpolation=\"nearest\", cmap=\"viridis\")\n",
    "\n",
    "        ax = plt.gca()\n",
    "        ax.invert_yaxis()         \n",
    "        \n",
    "        plt.title('Nitrogen', fontsize=18 );\n",
    "        plt.xlabel('Distance along West Passage, km', fontsize=14)\n",
    "        plt.ylabel('Height above bottom, m', fontsize=14)\n",
    "\n",
    "        plt.colorbar()       \n",
    "        \n",
    "        plt.subplot(313)    \n",
    "        plt.imshow(P[:,:,k], interpolation=\"nearest\", cmap=\"viridis\")\n",
    "        \n",
    "        ax = plt.gca()\n",
    "        ax.invert_yaxis()\n",
    "        \n",
    "        plt.title('Phytoplankton', fontsize=18 );\n",
    "        plt.xlabel('Distance along West Passage, km', fontsize=14)\n",
    "        plt.ylabel('Height above bottom, m', fontsize=14)\n",
    "\n",
    "        plt.colorbar()\n",
    "        \n",
    "        plt.show()        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### As separate plots\n",
    "\n",
    "B=B0;\n",
    "Ures = np.multiply((0.5*B/Mu),np.power(Z,2)) + np.multiply((Uo/h)-(0.5*B*h/Mu),Z)\n",
    "\n",
    "#Calculate salinity over time\n",
    "for k in range(1, Ntimes-800):  #TIME\n",
    "    #B=B0*m.sin(k*dt/(24*3600)*2*m.pi);\n",
    "    utide=tideamp*math.sin(k*dt/(12.0*3600.0)*2.0*math.pi);\n",
    "    U=Ures+utide;  #combined tidal effect of movement between voxels\n",
    "    \n",
    "    utS[k]=U[13];\n",
    "    utB[k]=U[3];\n",
    "    utt[k]=(k*dt)/(3600*24);\n",
    "\n",
    "    #velocityh = np.power(np.multiply((0.5*B/Mu),zV),2) + np.multiply(((Uo/h)-(0.5*B*h/Mu)),zV)\n",
    "    #velocityh=np.transpose(velocityh)\n",
    "    #Uh = np.tile(velocityh,(1, 10))\n",
    "    \n",
    "    C[:,0,k]=5\n",
    "    P[0:5,math.floor(L/dx),k]=5\n",
    "    \n",
    "    for j in range(1, math.floor(L/dx)):  #LENGTH\n",
    "        for i in range(1, math.floor(h/dz)):  #DEPTH\n",
    "            Nsrc=Vm*(C[i][j][k-1]/(Ks+Cmax))*P[i][j][k-1]*(i/(h/dz))*dt\n",
    "            \n",
    "            if (U[i]>0):\n",
    "                S[i][j][k]=S[i][j][k-1]-U[i]*(dt/dx)*(S[i][j+1][k-1]-S[i][j][k-1])+Kh*((dt/(dx**2)))*(S[i][j+1][k-1]-2*S[i][j][k-1]+S[i][j-1][k-1])+Kv*((dt/(dz**2)))*(S[i+1][j][k-1]-2*S[i][j][k-1]+S[i-1][j][k-1])\n",
    "                C[i][j][k]=C[i][j][k-1]-U[i]*(dt/dx)*(C[i][j+1][k-1]-C[i][j][k-1])+Kh*((dt/(dx**2)))*(C[i][j+1][k-1]-2*C[i][j][k-1]+C[i][j-1][k-1])+Kv*((dt/(dz**2)))*(C[i+1][j][k-1]-2*C[i][j][k-1]+C[i-1][j][k-1])\n",
    "                P[i][j][k]=P[i][j][k-1]-U[i]*(dt/dx)*(P[i][j+1][k-1]-P[i][j][k-1])+Kh*((dt/(dx**2)))*(P[i][j+1][k-1]-2*P[i][j][k-1]+P[i][j-1][k-1])+Kv*((dt/(dz**2)))*(P[i+1][j][k-1]-2*P[i][j][k-1]+P[i-1][j][k-1])\n",
    "                C[i][j][k]=C[i][j][k]-Nsrc\n",
    "                if (C[i][j][k] < 0.0):\n",
    "                    C[i][j][k]=0.0\n",
    "                P[i][j][k]=P[i][j][k]+Nsrc\n",
    "            else:\n",
    "                S[i][j][k]=S[i][j][k-1]-U[i]*(dt/dx)*(S[i][j][k-1]-S[i][j-1][k-1])+Kh*((dt/(dx**2)))*(S[i][j+1][k-1]-2*S[i][j][k-1]+S[i][j-1][k-1])+Kv*((dt/(dz**2)))*(S[i+1][j][k-1]-2*S[i][j][k-1]+S[i-1][j][k-1])\n",
    "                C[i][j][k]=C[i][j][k-1]-U[i]*(dt/dx)*(C[i][j][k-1]-C[i][j-1][k-1])+Kh*((dt/(dx**2)))*(C[i][j+1][k-1]-2*C[i][j][k-1]+C[i][j-1][k-1])+Kv*((dt/(dz**2)))*(C[i+1][j][k-1]-2*C[i][j][k-1]+C[i-1][j][k-1])\n",
    "                C[i][j][k]=C[i][j][k]-Nsrc\n",
    "                if(C[i][j][k] < 0.0):\n",
    "                    C[i][j][k]=0.0\n",
    "                P[i][j][k]=P[i][j][k-1]-U[i]*(dt/dx)*(P[i][j][k-1]-P[i][j-1][k-1])+Kh*((dt/(dx**2)))*(P[i][j+1][k-1]-2*P[i][j][k-1]+P[i][j-1][k-1])+Kv*((dt/(dz**2)))*(P[i+1][j][k-1]-2*P[i][j][k-1]+P[i-1][j][k-1])\n",
    "                P[i][j][k]=P[i][j][k]+Nsrc\n",
    "    \n",
    "    S[0,:,k]=S[1,:,k] #depth, dist, time\n",
    "    S[len(S)-1,:,k]=S[len(S)-2,:,k]\n",
    "    \n",
    "    for i in range(1, math.floor(nz)-1):\n",
    "        if (U[i]>=0):\n",
    "            S[i][math.floor(L/dx)][k]=S[i][math.floor(L/dx-1)][k]\n",
    "        else:\n",
    "            S[i][math.floor(L/dx)][k]=30.0\n",
    "\n",
    "    #clean up boundary conditions\n",
    "    for i in range(0, math.floor(h/dz)):\n",
    "        C[0][j][k]=C[1][j][k] #depth, dist, time\n",
    "        C[len(C)-1][j][k]=C[len(C)-2][j][k]\n",
    "        \n",
    "        P[0][j][k]=P[1][j][k] #depth, dist, time\n",
    "        P[len(P)-1][j][k]=P[len(P)-2][j][k]\n",
    "        \n",
    "    #if (k>=100 & mod(k,60)==0):\n",
    "    if (k==120):\n",
    "        #initiate plot\n",
    "        plt.figure(figsize=(16, 8))\n",
    "        \n",
    "        plt.imshow(S[:,:,k], interpolation=\"nearest\", cmap=\"viridis\")\n",
    "\n",
    "        ax = plt.gca()\n",
    "        ax.invert_yaxis()\n",
    "        \n",
    "        plt.xlabel('Distance along West Passage, km', fontsize=14)\n",
    "        plt.ylabel('Height above bottom, m', fontsize=14)\n",
    "        plt.title('Salinity (time is ' + str(k*dt/3600) + ' hours)', fontsize=18);\n",
    "        \n",
    "        plt.colorbar()\n",
    "        \n",
    "        plt.show()     "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "        plt.figure(figsize=(16, 8))\n",
    "    \n",
    "        plt.imshow(C[:,:,k], interpolation=\"nearest\", cmap=\"viridis\")\n",
    "\n",
    "        ax = plt.gca()\n",
    "        ax.invert_yaxis()         \n",
    "        \n",
    "        plt.title('Nitrogen', fontsize=18 );\n",
    "        plt.xlabel('Distance along West Passage, km', fontsize=14)\n",
    "        plt.ylabel('Height above bottom, m', fontsize=14)\n",
    "\n",
    "        plt.colorbar()\n",
    "        \n",
    "        plt.show()\n",
    " \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "        plt.figure(figsize=(16, 8))\n",
    "    \n",
    "        plt.imshow(P[:,:,k], interpolation=\"nearest\", cmap=\"viridis\")\n",
    "        \n",
    "        ax = plt.gca()\n",
    "        ax.invert_yaxis()\n",
    "        \n",
    "        plt.title('Phytoplankton', fontsize=18 );\n",
    "        plt.xlabel('Distance along West Passage, km', fontsize=14)\n",
    "        plt.ylabel('Height above bottom, m', fontsize=14)\n",
    "\n",
    "        plt.colorbar()\n",
    "        \n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}