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plot_domain_for_note.py
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plot_domain_for_note.py
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import os
import numpy as np
from matplotlib.patches import Rectangle
from matplotlib.font_manager import FontProperties
import matplotlib.pyplot as plt
from flopy.utils import binaryfile as bf
def henry_domain(figsize=(15,10)):
delx = 0.1
delz = 0.1
ncol,nlay = 120, 20
x = np.linspace(0, ncol*delx, num=ncol+1, endpoint=True)
z = np.linspace(0, -nlay*delz, num=nlay+1,endpoint=True)
ucn = bf.UcnFile(os.path.join("henry","misc","MT3D001.UCN"))
times = ucn.get_times()
conc1,conc2 = ucn.get_data(totim=times[0])[:,0,:].copy(), ucn.get_data(totim=times[1])[:,0,:]
xc = np.arange(0,ncol*delx,delx)
zc = np.arange(-delz,-(nlay+1)*delz,-delz)
X,Z = np.meshgrid(xc,zc)
f = open(os.path.join("henry","misc", "bore_coords_henry_coarse_conc.dat"), 'r')
cnames, cx, cz = [], [], []
for line in f:
raw = line.strip().split()
xx = float(raw[1])
l = int(raw[3])
zz = z[l - 1] - (delz / 2.0)
cnames.append(raw[0])
cx.append(xx)
cz.append(zz)
f.close()
f = open(os.path.join("henry","misc", "bore_coords_henry_coarse_head.dat"), 'r')
hnames, hx, hz = [], [], []
for line in f:
raw = line.strip().split()
xx = float(raw[1])
l = int(raw[3])
zz = z[l - 1] - (delz / 2.0)
hnames.append(raw[0])
hx.append(xx)
hz.append(zz)
f.close()
pp_locs = np.loadtxt(os.path.join("henry","misc", "pp_locs.dat"), usecols=[1, 2])
fig = plt.figure(figsize=figsize)
ax = plt.axes((0.085, 0.575, 0.875, 0.485),aspect="equal")
ax2 = plt.axes((0.085, 0.2, 0.875, 0.485),aspect="equal")
zlim = [z.min(), z.max()]
xlim = [x.min(), x.max()]
fp = FontProperties()
fp.set_size("large")
ax.contour(X,Z,conc1,levels=[0.1],colors='0.5',linewidths=[2])
cont = ax2.contour(X,Z,conc2,levels=[0.1],colors='0.5',linewidths=[2])
ax.scatter(hx, hz, marker='o', edgecolor='k', facecolor="none", s=20, label="head obs")
ax.scatter(cx, cz, marker='x', color='k', s=10, label="concentration obs")
ax2.scatter(cx[9], cz[9], marker='x', color='k', s=10)
for xx, zz, nn in zip(hx, hz, hnames):
ax.text(xx,zz+0.125,nn[-2:],ha="center",va="bottom",fontsize="small",
bbox={"fc":"1.0","boxstyle":"round,pad=0.01","ec":"none"})
if "10" in nn:
ax2.text(xx,zz+0.125,nn[-2:],ha="center",va="bottom",fontsize="small",
bbox={"fc":"1.0","boxstyle":"round,pad=0.01","ec":"none"})
ax.scatter(pp_locs[:, 0], pp_locs[:, 1], marker='.', s=1,color='b', label="pilot point")
ax2.scatter(pp_locs[:, 0], pp_locs[:, 1], marker='.', s=1,color='b', label="pilot point")
fresh = Rectangle((x.min(), z.min()), delx, nlay * delz, color='b')
ax.add_patch(fresh)
fresh2 = Rectangle((x.min(), z.min()), delx, nlay * delz, color='b')
ax2.add_patch(fresh2)
salt = Rectangle((x.max() - delx, z.min()), delx,nlay*delz, color='r')
ax.add_patch(salt)
salt2 = Rectangle((x.max() - delx, z.min()), delx,nlay*delz, color='r')
ax2.add_patch(salt2)
#ax.plot([0,0],[0,0],lw=3,color='0.5',label="50% saltwater")
ax.plot([0,0],[0,0],lw=1,color='0.5',label="10% saltwater")
#ax.plot([0,0],[0,0],lw=1,color='0.5',label="1% saltwater")
handles, labels = ax.get_legend_handles_labels()
handles.append(fresh)
handles.append(salt)
labels.append("freshwater boundary")
labels.append("saltwater boundary")
ax2.legend(handles,labels, loc="lower center",
ncol=3,frameon=False,prop=fp,
bbox_to_anchor=(0.5,-1.2),scatterpoints=1)
ax.set_xlim(xlim)
ax.set_ylim(zlim)
ax.set_xticklabels([])
ax2.set_xlim(xlim)
ax2.set_ylim(zlim)
ax.set_yticklabels(ax.get_yticks(),fontsize="large")
ax2.set_yticklabels(ax.get_yticks(),fontsize="large")
ax2.set_xticklabels(ax.get_xticks(),fontsize="large")
ax.set_ylabel("depth (m)",fontsize="large")
ax2.set_ylabel("depth (m)",fontsize="large")
ax2.set_xlabel("length (m)",fontsize="large",labelpad=0.5)
ax.text(0.0,0.0,"A.) History-matching stress period",ha="left",va="bottom",fontsize="large")
ax2.text(0.0,0.0,"B.) Forecast stress period",ha="left",va="bottom",fontsize="large")
# ax2.annotate(
# '', xy=(0.095, -1.95), xycoords='data',
# xytext=(9.4, -1.95), textcoords='data',
# arrowprops={'arrowstyle': '<->',"linewidth":2.0})
ax2.annotate(
'', xy=(0.095, -1.9), xycoords='data',
xytext=(9.0, -1.9), textcoords='data',
arrowprops={'arrowstyle': '<->',"linewidth":1.0})
# ax2.annotate(
# '', xy=(0.095, -1.8), xycoords='data',
# xytext=(8.85, -1.8), textcoords='data',
# arrowprops={'arrowstyle': '<->',"linewidth":1.5})
#ax2.text(4.25,-1.75,'?',fontsize=50)
return fig
fig = henry_domain(figsize=(6,3.5))
plt.savefig("domain.eps")