{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cavern storage capacity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import cartopy.crs as ccrs\n",
    "import contextily as cx\n",
    "import geopandas as gpd\n",
    "import mapclassify as mc\n",
    "import matplotlib.patches as mpatches\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter\n",
    "\n",
    "# from matplotlib.lines import Line2D\n",
    "from matplotlib_scalebar.scalebar import ScaleBar\n",
    "\n",
    "from h2ss import capacity as cap\n",
    "from h2ss import compare\n",
    "from h2ss import data as rd\n",
    "from h2ss import functions as fns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# basemap cache directory\n",
    "cx.set_cache_dir(os.path.join(\"data\", \"basemaps\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Halite data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds, extent = rd.kish_basin_data_depth_adjusted(\n",
    "    dat_path=os.path.join(\"data\", \"kish-basin\"),\n",
    "    bathymetry_path=os.path.join(\"data\", \"bathymetry\"),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "xmin, ymin, xmax, ymax = extent.total_bounds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Constraints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "# exploration wells\n",
    "_, wells_b = fns.constraint_exploration_well(\n",
    "    data_path=os.path.join(\n",
    "        \"data\",\n",
    "        \"exploration-wells\",\n",
    "        \"Exploration_Wells_Irish_Offshore.shapezip.zip\",\n",
    "    )\n",
    ")\n",
    "\n",
    "# wind farms\n",
    "wind_farms = fns.constraint_wind_farm(\n",
    "    data_path=os.path.join(\n",
    "        \"data\", \"wind-farms\", \"marine-area-consent-wind.zip\"\n",
    "    )\n",
    ")\n",
    "\n",
    "# frequent shipping routes\n",
    "_, shipping_b = fns.constraint_shipping_routes(\n",
    "    data_path=os.path.join(\n",
    "        \"data\", \"shipping\", \"shipping_frequently_used_routes.zip\"\n",
    "    ),\n",
    "    dat_extent=extent,\n",
    ")\n",
    "\n",
    "# shipwrecks\n",
    "_, shipwrecks_b = fns.constraint_shipwrecks(\n",
    "    data_path=os.path.join(\n",
    "        \"data\", \"shipwrecks\", \"IE_GSI_MI_Shipwrecks_IE_Waters_WGS84_LAT.zip\"\n",
    "    ),\n",
    "    dat_extent=extent,\n",
    ")\n",
    "\n",
    "# subsea cables\n",
    "_, cables_b = fns.constraint_subsea_cables(\n",
    "    data_path=os.path.join(\"data\", \"subsea-cables\", \"KIS-ORCA.gpkg\"),\n",
    "    dat_extent=extent,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "# distance from salt formation edge\n",
    "edge_buffer = fns.constraint_halite_edge(dat_xr=ds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Zones of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "zones, zds = fns.zones_of_interest(\n",
    "    dat_xr=ds,\n",
    "    constraints={\"net_height\": 120, \"min_depth\": 500, \"max_depth\": 2000},\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate caverns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "caverns = fns.generate_caverns_hexagonal_grid(\n",
    "    zones_df=zones,\n",
    "    dat_extent=extent,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "caverns = fns.cavern_dataframe(\n",
    "    dat_zone=zds,\n",
    "    cavern_df=caverns,\n",
    "    depths={\"min\": 500, \"min_opt\": 1000, \"max_opt\": 1500, \"max\": 2000},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "# label caverns by depth and heights\n",
    "caverns = fns.label_caverns(\n",
    "    cavern_df=caverns,\n",
    "    heights=[120],\n",
    "    depths={\"min\": 500, \"min_opt\": 1000, \"max_opt\": 1500, \"max\": 2000},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Without constraints...\n",
      "Number of potential caverns: 568\n",
      "------------------------------------------------------------\n",
      "Excluding salt formation edges...\n",
      "Number of potential caverns: 539\n",
      "------------------------------------------------------------\n",
      "Exclude shipping...\n",
      "Number of potential caverns: 261\n",
      "Caverns excluded: 51.58%\n",
      "------------------------------------------------------------\n",
      "Exclude wind farms...\n",
      "Number of potential caverns: 218\n",
      "Caverns excluded: 59.55%\n",
      "------------------------------------------------------------\n",
      "Exclude cables...\n",
      "Number of potential caverns: 218\n",
      "Caverns excluded: 59.55%\n",
      "------------------------------------------------------------\n",
      "Exclude wells...\n",
      "Number of potential caverns: 218\n",
      "Caverns excluded: 59.55%\n",
      "------------------------------------------------------------\n",
      "Exclude shipwrecks...\n",
      "Number of potential caverns: 218\n",
      "Caverns excluded: 59.55%\n",
      "------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "caverns, _ = fns.generate_caverns_with_constraints(\n",
    "    cavern_df=caverns,\n",
    "    exclusions={\n",
    "        \"wells\": wells_b,\n",
    "        \"wind_farms\": wind_farms,\n",
    "        \"shipwrecks\": shipwrecks_b,\n",
    "        \"shipping\": shipping_b,\n",
    "        \"cables\": cables_b,\n",
    "        \"edge\": edge_buffer,\n",
    "    },\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Capacity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cavern volume"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "caverns[\"cavern_total_volume\"] = cap.cavern_volume(\n",
    "    height=caverns[\"cavern_height\"]\n",
    ")\n",
    "caverns[\"cavern_volume\"] = cap.corrected_cavern_volume(\n",
    "    v_cavern=caverns[\"cavern_total_volume\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mid-point temperature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "caverns[\"t_mid_point\"] = cap.temperature_cavern_mid_point(\n",
    "    height=caverns[\"cavern_height\"], depth_top=caverns[\"cavern_depth\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Operating pressure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "(\n",
    "    caverns[\"p_operating_min\"],\n",
    "    caverns[\"p_operating_max\"],\n",
    ") = cap.pressure_operating(\n",
    "    thickness_overburden=caverns[\"TopDepthSeabed\"],\n",
    "    depth_water=-caverns[\"Bathymetry\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hydrogen gas density"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "caverns[\"rho_min\"], caverns[\"rho_max\"] = cap.density_hydrogen_gas(\n",
    "    p_operating_min=caverns[\"p_operating_min\"],\n",
    "    p_operating_max=caverns[\"p_operating_max\"],\n",
    "    t_mid_point=caverns[\"t_mid_point\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Working mass of hydrogen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "(\n",
    "    caverns[\"working_mass\"],\n",
    "    caverns[\"mass_operating_min\"],\n",
    "    caverns[\"mass_operating_max\"],\n",
    ") = cap.mass_hydrogen_working(\n",
    "    rho_h2_min=caverns[\"rho_min\"],\n",
    "    rho_h2_max=caverns[\"rho_max\"],\n",
    "    v_cavern=caverns[\"cavern_volume\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Energy storage capacity in GWh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "caverns[\"capacity\"] = cap.energy_storage_capacity(\n",
    "    m_working=caverns[\"working_mass\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "# proportion of working gas to total gas\n",
    "caverns[\"working_mass_pct\"] = caverns[\"working_mass\"] / (\n",
    "    caverns[\"working_mass\"] + caverns[\"mass_operating_min\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Thickness</th>\n",
       "      <th>TopDepthSeabed</th>\n",
       "      <th>Bathymetry</th>\n",
       "      <th>NetToGross</th>\n",
       "      <th>ThicknessNet</th>\n",
       "      <th>cavern_depth</th>\n",
       "      <th>t_mid_point</th>\n",
       "      <th>p_operating_min</th>\n",
       "      <th>p_operating_max</th>\n",
       "      <th>rho_min</th>\n",
       "      <th>rho_max</th>\n",
       "      <th>working_mass</th>\n",
       "      <th>mass_operating_min</th>\n",
       "      <th>mass_operating_max</th>\n",
       "      <th>capacity</th>\n",
       "      <th>working_mass_pct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>218.000000</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>2.180000e+02</td>\n",
       "      <td>2.180000e+02</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>2.180000e+02</td>\n",
       "      <td>2.180000e+02</td>\n",
       "      <td>2.180000e+02</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>218.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>429.724354</td>\n",
       "      <td>1074.020877</td>\n",
       "      <td>-50.338910</td>\n",
       "      <td>0.651980</td>\n",
       "      <td>283.015980</td>\n",
       "      <td>1154.020877</td>\n",
       "      <td>328.675783</td>\n",
       "      <td>8.061902e+06</td>\n",
       "      <td>2.149840e+07</td>\n",
       "      <td>5.608686</td>\n",
       "      <td>13.867715</td>\n",
       "      <td>3.260108e+06</td>\n",
       "      <td>2.213931e+06</td>\n",
       "      <td>5.474039e+06</td>\n",
       "      <td>108.634041</td>\n",
       "      <td>0.597511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>72.560913</td>\n",
       "      <td>365.142804</td>\n",
       "      <td>13.127985</td>\n",
       "      <td>0.043909</td>\n",
       "      <td>69.215822</td>\n",
       "      <td>365.142804</td>\n",
       "      <td>13.692855</td>\n",
       "      <td>2.580140e+06</td>\n",
       "      <td>6.880373e+06</td>\n",
       "      <td>1.508555</td>\n",
       "      <td>3.480605</td>\n",
       "      <td>7.786651e+05</td>\n",
       "      <td>5.954757e+05</td>\n",
       "      <td>1.373908e+06</td>\n",
       "      <td>25.946851</td>\n",
       "      <td>0.007822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>358.331500</td>\n",
       "      <td>422.745339</td>\n",
       "      <td>-73.351486</td>\n",
       "      <td>0.593197</td>\n",
       "      <td>212.561041</td>\n",
       "      <td>502.745339</td>\n",
       "      <td>304.252950</td>\n",
       "      <td>3.445968e+06</td>\n",
       "      <td>9.189247e+06</td>\n",
       "      <td>2.691914</td>\n",
       "      <td>6.945301</td>\n",
       "      <td>1.678950e+06</td>\n",
       "      <td>1.062586e+06</td>\n",
       "      <td>2.741537e+06</td>\n",
       "      <td>55.946359</td>\n",
       "      <td>0.581421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>384.750500</td>\n",
       "      <td>792.651330</td>\n",
       "      <td>-62.446541</td>\n",
       "      <td>0.617639</td>\n",
       "      <td>237.636862</td>\n",
       "      <td>872.651330</td>\n",
       "      <td>318.124425</td>\n",
       "      <td>6.071888e+06</td>\n",
       "      <td>1.619170e+07</td>\n",
       "      <td>4.470379</td>\n",
       "      <td>11.273416</td>\n",
       "      <td>2.685380e+06</td>\n",
       "      <td>1.764604e+06</td>\n",
       "      <td>4.449985e+06</td>\n",
       "      <td>89.482842</td>\n",
       "      <td>0.591309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>413.253450</td>\n",
       "      <td>1048.329146</td>\n",
       "      <td>-53.034470</td>\n",
       "      <td>0.644009</td>\n",
       "      <td>266.138995</td>\n",
       "      <td>1128.329146</td>\n",
       "      <td>327.712343</td>\n",
       "      <td>7.887979e+06</td>\n",
       "      <td>2.103461e+07</td>\n",
       "      <td>5.589250</td>\n",
       "      <td>13.892191</td>\n",
       "      <td>3.277441e+06</td>\n",
       "      <td>2.206259e+06</td>\n",
       "      <td>5.483701e+06</td>\n",
       "      <td>109.211632</td>\n",
       "      <td>0.597670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>446.045600</td>\n",
       "      <td>1353.385847</td>\n",
       "      <td>-41.985056</td>\n",
       "      <td>0.674348</td>\n",
       "      <td>300.789815</td>\n",
       "      <td>1433.385847</td>\n",
       "      <td>339.151969</td>\n",
       "      <td>1.004202e+07</td>\n",
       "      <td>2.677871e+07</td>\n",
       "      <td>6.804421</td>\n",
       "      <td>16.649315</td>\n",
       "      <td>3.886101e+06</td>\n",
       "      <td>2.685927e+06</td>\n",
       "      <td>6.572028e+06</td>\n",
       "      <td>129.493525</td>\n",
       "      <td>0.603458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>822.710300</td>\n",
       "      <td>1900.680682</td>\n",
       "      <td>-18.320551</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>617.032725</td>\n",
       "      <td>1980.680682</td>\n",
       "      <td>359.675526</td>\n",
       "      <td>1.382934e+07</td>\n",
       "      <td>3.687824e+07</td>\n",
       "      <td>8.691559</td>\n",
       "      <td>20.764429</td>\n",
       "      <td>4.765555e+06</td>\n",
       "      <td>3.430842e+06</td>\n",
       "      <td>8.196397e+06</td>\n",
       "      <td>158.798899</td>\n",
       "      <td>0.612412</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Thickness  TopDepthSeabed  Bathymetry  NetToGross  ThicknessNet  \\\n",
       "count  218.000000      218.000000  218.000000  218.000000    218.000000   \n",
       "mean   429.724354     1074.020877  -50.338910    0.651980    283.015980   \n",
       "std     72.560913      365.142804   13.127985    0.043909     69.215822   \n",
       "min    358.331500      422.745339  -73.351486    0.593197    212.561041   \n",
       "25%    384.750500      792.651330  -62.446541    0.617639    237.636862   \n",
       "50%    413.253450     1048.329146  -53.034470    0.644009    266.138995   \n",
       "75%    446.045600     1353.385847  -41.985056    0.674348    300.789815   \n",
       "max    822.710300     1900.680682  -18.320551    0.750000    617.032725   \n",
       "\n",
       "       cavern_depth  t_mid_point  p_operating_min  p_operating_max  \\\n",
       "count    218.000000   218.000000     2.180000e+02     2.180000e+02   \n",
       "mean    1154.020877   328.675783     8.061902e+06     2.149840e+07   \n",
       "std      365.142804    13.692855     2.580140e+06     6.880373e+06   \n",
       "min      502.745339   304.252950     3.445968e+06     9.189247e+06   \n",
       "25%      872.651330   318.124425     6.071888e+06     1.619170e+07   \n",
       "50%     1128.329146   327.712343     7.887979e+06     2.103461e+07   \n",
       "75%     1433.385847   339.151969     1.004202e+07     2.677871e+07   \n",
       "max     1980.680682   359.675526     1.382934e+07     3.687824e+07   \n",
       "\n",
       "          rho_min     rho_max  working_mass  mass_operating_min  \\\n",
       "count  218.000000  218.000000  2.180000e+02        2.180000e+02   \n",
       "mean     5.608686   13.867715  3.260108e+06        2.213931e+06   \n",
       "std      1.508555    3.480605  7.786651e+05        5.954757e+05   \n",
       "min      2.691914    6.945301  1.678950e+06        1.062586e+06   \n",
       "25%      4.470379   11.273416  2.685380e+06        1.764604e+06   \n",
       "50%      5.589250   13.892191  3.277441e+06        2.206259e+06   \n",
       "75%      6.804421   16.649315  3.886101e+06        2.685927e+06   \n",
       "max      8.691559   20.764429  4.765555e+06        3.430842e+06   \n",
       "\n",
       "       mass_operating_max    capacity  working_mass_pct  \n",
       "count        2.180000e+02  218.000000        218.000000  \n",
       "mean         5.474039e+06  108.634041          0.597511  \n",
       "std          1.373908e+06   25.946851          0.007822  \n",
       "min          2.741537e+06   55.946359          0.581421  \n",
       "25%          4.449985e+06   89.482842          0.591309  \n",
       "50%          5.483701e+06  109.211632          0.597670  \n",
       "75%          6.572028e+06  129.493525          0.603458  \n",
       "max          8.196397e+06  158.798899          0.612412  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "caverns.drop(\n",
    "    columns=[\n",
    "        \"x\",\n",
    "        \"y\",\n",
    "        \"BaseDepth\",\n",
    "        \"TopDepth\",\n",
    "        \"TopTWT\",\n",
    "        \"BaseDepthSeabed\",\n",
    "        \"cavern_height\",\n",
    "        \"cavern_total_volume\",\n",
    "        \"cavern_volume\",\n",
    "    ]\n",
    ").describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cavern_height             120.000000\n",
       "cavern_total_volume    563903.723294\n",
       "cavern_volume          394732.606306\n",
       "Name: 0, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fixed values\n",
    "caverns[[\"cavern_height\", \"cavern_total_volume\", \"cavern_volume\"]].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cavern_volume         8.605171e+07\n",
       "working_mass          7.107035e+08\n",
       "capacity              2.368222e+04\n",
       "mass_operating_min    4.826370e+08\n",
       "mass_operating_max    1.193341e+09\n",
       "dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# totals\n",
    "caverns[\n",
    "    [\n",
    "        \"cavern_volume\",\n",
    "        \"working_mass\",\n",
    "        \"capacity\",\n",
    "        \"mass_operating_min\",\n",
    "        \"mass_operating_max\",\n",
    "    ]\n",
    "].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Energy capacity as a percentage of Ireland's electricity demand\n",
      "in 2050 (84–122 TWh electricity), assuming a conversion efficiency\n",
      "of 50%: 9.71–14.10%\n",
      "Energy capacity as a percentage of Ireland's hydrogen demand\n",
      "in 2050, assuming it is 17% of the electricity demand\n",
      "(84–122 TWh electricity): 114.19–165.84%\n"
     ]
    }
   ],
   "source": [
    "# compare with Ireland's electricity demand in 2050 (Deane, 2021)\n",
    "compare.electricity_demand_ie(data=caverns[\"capacity\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Energy capacity as a percentage of Ireland's domestic hydrogen\n",
      "demand in 2050 (4.6–39 TWh hydrogen): 60.72–514.83%\n",
      "Energy capacity as a percentage of Ireland's domestic and\n",
      "non-domestic hydrogen demand in 2050 (19.8–74.6 TWh hydrogen): 31.75–119.61%\n"
     ]
    }
   ],
   "source": [
    "# compare with Ireland's hydrogen demand in 2050\n",
    "compare.hydrogen_demand_ie(data=caverns[\"capacity\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "      <th>%</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>depth</th>\n",
       "      <th>halite</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1,000 - 1,500</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>11585.091442</td>\n",
       "      <td>48.918940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500 - 1,000</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>3884.416135</td>\n",
       "      <td>16.402246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>4630.799533</td>\n",
       "      <td>19.553907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,000 - 1,500</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>102.631996</td>\n",
       "      <td>0.433371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500 - 1,000</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>1353.174027</td>\n",
       "      <td>5.713881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>151.843643</td>\n",
       "      <td>0.641171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,000 - 1,500</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>574.503947</td>\n",
       "      <td>2.425887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>597.204799</td>\n",
       "      <td>2.521743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500 - 1,000</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>802.555520</td>\n",
       "      <td>3.388852</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            capacity          %\n",
       "depth         halite                           \n",
       "1,000 - 1,500 Rossall   11585.091442  48.918940\n",
       "500 - 1,000   Rossall    3884.416135  16.402246\n",
       "1,500 - 2,000 Rossall    4630.799533  19.553907\n",
       "1,000 - 1,500 Preesall    102.631996   0.433371\n",
       "500 - 1,000   Preesall   1353.174027   5.713881\n",
       "1,500 - 2,000 Preesall    151.843643   0.641171\n",
       "1,000 - 1,500 Fylde       574.503947   2.425887\n",
       "1,500 - 2,000 Fylde       597.204799   2.521743\n",
       "500 - 1,000   Fylde       802.555520   3.388852"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# total capacity at various depth/height combinations\n",
    "s = caverns.groupby([\"depth\", \"halite\"], sort=False)[[\"capacity\"]].sum()\n",
    "s[\"%\"] = s[\"capacity\"] / caverns[[\"capacity\"]].sum().iloc[0] * 100\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>depth</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1,000 - 1,500</th>\n",
       "      <td>12262.227385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <td>5379.847975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500 - 1,000</th>\n",
       "      <td>6040.145681</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   capacity\n",
       "depth                      \n",
       "1,000 - 1,500  12262.227385\n",
       "1,500 - 2,000   5379.847975\n",
       "500 - 1,000     6040.145681"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.groupby(\"depth\").sum()[[\"capacity\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>halite</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fylde</th>\n",
       "      <td>1974.264266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Preesall</th>\n",
       "      <td>1607.649665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rossall</th>\n",
       "      <td>20100.307110</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              capacity\n",
       "halite                \n",
       "Fylde      1974.264266\n",
       "Preesall   1607.649665\n",
       "Rossall   20100.307110"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.groupby(\"halite\").sum()[[\"capacity\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "      <th>%</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>depth</th>\n",
       "      <th>halite</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1,000 - 1,500</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>99</td>\n",
       "      <td>45.412844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500 - 1,000</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>49</td>\n",
       "      <td>22.477064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>32</td>\n",
       "      <td>14.678899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,000 - 1,500</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>1</td>\n",
       "      <td>0.458716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500 - 1,000</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>17</td>\n",
       "      <td>7.798165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>1</td>\n",
       "      <td>0.458716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,000 - 1,500</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>5</td>\n",
       "      <td>2.293578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>4</td>\n",
       "      <td>1.834862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500 - 1,000</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>10</td>\n",
       "      <td>4.587156</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        capacity          %\n",
       "depth         halite                       \n",
       "1,000 - 1,500 Rossall         99  45.412844\n",
       "500 - 1,000   Rossall         49  22.477064\n",
       "1,500 - 2,000 Rossall         32  14.678899\n",
       "1,000 - 1,500 Preesall         1   0.458716\n",
       "500 - 1,000   Preesall        17   7.798165\n",
       "1,500 - 2,000 Preesall         1   0.458716\n",
       "1,000 - 1,500 Fylde            5   2.293578\n",
       "1,500 - 2,000 Fylde            4   1.834862\n",
       "500 - 1,000   Fylde           10   4.587156"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# number of caverns\n",
    "s = caverns.groupby([\"depth\", \"halite\"], sort=False)[[\"capacity\"]].count()\n",
    "s[\"%\"] = s[\"capacity\"] / len(caverns) * 100\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>depth</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1,000 - 1,500</th>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500 - 1,000</th>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               capacity\n",
       "depth                  \n",
       "1,000 - 1,500       105\n",
       "1,500 - 2,000        37\n",
       "500 - 1,000          76"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.groupby(\"depth\").sum()[[\"capacity\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>halite</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fylde</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Preesall</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rossall</th>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          capacity\n",
       "halite            \n",
       "Fylde           19\n",
       "Preesall        19\n",
       "Rossall        180"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.groupby(\"halite\").sum()[[\"capacity\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distance to nearest pipeline from caverns: 13.65–38.10 km (mean: 18.47 km)\n"
     ]
    }
   ],
   "source": [
    "compare.distance_from_pipeline(\n",
    "    caverns, os.path.join(\"data\", \"pipelines\", \"pipelines.zip\")\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "# create exclusion buffer\n",
    "buffer = pd.concat([wells_b, shipwrecks_b, shipping_b, cables_b]).dissolve()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "def plot_map_alt(\n",
    "    dat_xr,\n",
    "    cavern_df,\n",
    "    zones_gdf,\n",
    "    classes,\n",
    "    # quantity=\"capacity\",\n",
    "    # quantity_label=\"Hydrogen storage \\ncapacity [GWh]\",\n",
    "    # top_depth=True,\n",
    "    fontsize=11.5,\n",
    "):\n",
    "    \"\"\"Helper function to plot caverns within the zones of interest\"\"\"\n",
    "    plt.figure(figsize=(20, 11.5))\n",
    "    axis1 = plt.axes(projection=ccrs.epsg(rd.CRS))\n",
    "    legend_handles1 = []\n",
    "    classes = sorted(classes)\n",
    "\n",
    "    # halite boundary - use buffering to smooth the outline\n",
    "    shape = rd.halite_shape(dat_xr=dat_xr).buffer(1000).buffer(-1000)\n",
    "    shape.plot(\n",
    "        ax=axis1,\n",
    "        edgecolor=\"darkslategrey\",\n",
    "        color=\"none\",\n",
    "        linewidth=2,\n",
    "        alpha=0.5,\n",
    "        zorder=2,\n",
    "    )\n",
    "    legend_handles1.append(\n",
    "        mpatches.Patch(\n",
    "            facecolor=\"none\",\n",
    "            linewidth=2,\n",
    "            edgecolor=\"darkslategrey\",\n",
    "            label=\"Kish Basin boundary\",\n",
    "            alpha=0.5,\n",
    "        )\n",
    "    )\n",
    "\n",
    "    zones_gdf.plot(\n",
    "        ax=axis1, zorder=1, linewidth=0, facecolor=\"white\", alpha=0.45\n",
    "    )\n",
    "    zones_gdf.plot(\n",
    "        ax=axis1,\n",
    "        zorder=2,\n",
    "        edgecolor=\"slategrey\",\n",
    "        linestyle=\"dotted\",\n",
    "        linewidth=1.25,\n",
    "        facecolor=\"none\",\n",
    "    )\n",
    "    legend_handles1.append(\n",
    "        mpatches.Patch(\n",
    "            facecolor=\"none\",\n",
    "            linestyle=\"dotted\",\n",
    "            edgecolor=\"slategrey\",\n",
    "            label=\"Area of interest\",\n",
    "            linewidth=1.25,\n",
    "        )\n",
    "    )\n",
    "\n",
    "    pd.concat([buffer, wind_farms]).dissolve().clip(shape).plot(\n",
    "        ax=axis1,\n",
    "        facecolor=\"none\",\n",
    "        linewidth=0.65,\n",
    "        edgecolor=\"slategrey\",\n",
    "        zorder=2,\n",
    "        alpha=0.5,\n",
    "        hatch=\"//\",\n",
    "    )\n",
    "    legend_handles1.append(\n",
    "        mpatches.Patch(\n",
    "            facecolor=\"none\",\n",
    "            hatch=\"//\",\n",
    "            edgecolor=\"slategrey\",\n",
    "            label=\"Exclusion\",\n",
    "            alpha=0.65,\n",
    "            linewidth=0.5,\n",
    "        )\n",
    "    )\n",
    "\n",
    "    legend_handles1.append(\n",
    "        mpatches.Patch(\n",
    "            label=\"Hydrogen storage \\ncapacity [GWh]\", visible=False\n",
    "        )\n",
    "    )\n",
    "\n",
    "    colours = [int(n * 255 / (len(classes) - 1)) for n in range(len(classes))]\n",
    "    for n, y in enumerate(colours):\n",
    "        if n == 0:\n",
    "            # c = cavern_df[cavern_df[\"capacity\"] < classes[0]]\n",
    "            label1 = f\"< {classes[0]:.0f}\"\n",
    "        elif n == len(colours) - 1:\n",
    "            # c = cavern_df[cavern_df[\"capacity\"] >= classes[-2]]\n",
    "            label1 = f\"≥ {classes[-2]:.0f}\"\n",
    "        else:\n",
    "            # c = cavern_df[\n",
    "            #     (cavern_df[\"capacity\"] >= classes[n - 1])\n",
    "            #     & (cavern_df[\"capacity\"] < classes[n])\n",
    "            # ]\n",
    "            label1 = f\"{classes[n - 1]:.0f} – < {classes[n]:.0f}\"\n",
    "        # if top_depth:\n",
    "        #     for df, markersize in zip(\n",
    "        #         [\n",
    "        #             c[c[\"depth\"] == \"500 - 1,000\"],\n",
    "        #             c[c[\"depth\"] == \"1,000 - 1,500\"],\n",
    "        #             c[c[\"depth\"] == \"1,500 - 2,000\"],\n",
    "        #         ],\n",
    "        #         [20, 50, 20],\n",
    "        #     ):\n",
    "        #         if len(df) > 0:\n",
    "        #             df.centroid.plot(\n",
    "        #                 ax=axis1,\n",
    "        #                 zorder=3,\n",
    "        #                 linewidth=0,\n",
    "        #                 marker=\".\",\n",
    "        #                 markersize=markersize,\n",
    "        #                 color=sns.color_palette(\"flare\", 256)[y],\n",
    "        #             )\n",
    "        # else:\n",
    "        gpd.GeoDataFrame(cavern_df, geometry=cavern_df.centroid).plot(\n",
    "            ax=axis1,\n",
    "            scheme=\"UserDefined\",\n",
    "            classification_kwds={\"bins\": classes},\n",
    "            column=\"capacity\",\n",
    "            zorder=3,\n",
    "            marker=\".\",\n",
    "            cmap=\"flare\",\n",
    "            markersize=40,\n",
    "        )\n",
    "        legend_handles1.append(\n",
    "            mpatches.Patch(\n",
    "                facecolor=sns.color_palette(\"flare\", 256)[y], label=label1\n",
    "            )\n",
    "        )\n",
    "\n",
    "    # if top_depth:\n",
    "    #     legend_handles1.append(\n",
    "    #         mpatches.Patch(label=\"Cavern top depth [m]\", visible=False)\n",
    "    #     )\n",
    "    #     for markersize, label1 in zip(\n",
    "    #         [6, 3], [\"1,000–1,500\", \"500–1,000 or \\n1,500–2,000\"]\n",
    "    #     ):\n",
    "    #         legend_handles1.append(\n",
    "    #             Line2D(\n",
    "    #                 [0],\n",
    "    #                 [0],\n",
    "    #                 marker=\".\",\n",
    "    #                 linewidth=0,\n",
    "    #                 label=label1,\n",
    "    #                 color=\"darkslategrey\",\n",
    "    #                 markersize=markersize,\n",
    "    #             )\n",
    "    #         )\n",
    "\n",
    "    plt.xlim(shape.bounds[\"minx\"][0] - 1000, shape.bounds[\"maxx\"][0] + 1000)\n",
    "    plt.ylim(shape.bounds[\"miny\"][0] - 1000, shape.bounds[\"maxy\"][0] + 1000)\n",
    "\n",
    "    basemap = cx.providers.CartoDB.VoyagerNoLabels\n",
    "    cx.add_basemap(\n",
    "        axis1, crs=rd.CRS, source=basemap, zoom=12, attribution=False\n",
    "    )\n",
    "    axis1.text(\n",
    "        shape.bounds[\"minx\"][0] - 800,\n",
    "        shape.bounds[\"miny\"][0] - 800,\n",
    "        basemap[\"attribution\"],\n",
    "        fontsize=10,\n",
    "    )\n",
    "\n",
    "    axis1.gridlines(\n",
    "        draw_labels={\"bottom\": \"x\", \"left\": \"y\"},\n",
    "        alpha=0.25,\n",
    "        color=\"darkslategrey\",\n",
    "        xlabel_style={\"fontsize\": fontsize},\n",
    "        ylabel_style={\"fontsize\": fontsize, \"rotation\": 89.9},\n",
    "        xformatter=LongitudeFormatter(auto_hide=False, dms=True),\n",
    "        yformatter=LatitudeFormatter(auto_hide=False, dms=True),\n",
    "    )\n",
    "    axis1.add_artist(\n",
    "        ScaleBar(\n",
    "            1,\n",
    "            box_alpha=0,\n",
    "            location=\"lower right\",\n",
    "            color=\"darkslategrey\",\n",
    "            width_fraction=0.0075,\n",
    "            font_properties={\"size\": fontsize},\n",
    "        )\n",
    "    )\n",
    "    plt.legend(\n",
    "        loc=\"lower right\",\n",
    "        bbox_to_anchor=(1, 0.05),\n",
    "        handles=legend_handles1,\n",
    "        fontsize=fontsize,\n",
    "    )\n",
    "    plt.title(None)\n",
    "\n",
    "    plt.tight_layout()\n",
    "    # plt.savefig(\n",
    "    #     os.path.join(\"graphics\", \"Figure_8.png\"),\n",
    "    #     format=\"png\",\n",
    "    #     dpi=600,\n",
    "    # )\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1920x1104 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_map_alt(\n",
    "    ds, caverns, zones, list(mc.Quantiles(caverns[\"capacity\"], k=6).bins)\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}