legitimate_fears

{
 "metadata": {
  "name": "legit fears"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "# Legitimate Fears ?\n\nCalculator for Rebecca Gual, 10/2/2013\n\nImagine a time when Oxygen is no longer being produced. There would be a period of time when life would consume the remaining oxygen before Carbon Dioxide replaced all the Oxygen. The question is this: how long would that take?\n\nLet's remove all other Oxygen-breathing life forms (animals and plants) from the equation. How long will we last before the Oxygen has been consumed?\n\n1. Oxygen is no longer being produced!\n1. humans still are consuming Oxygen at the same rate\n1. and producing CO2 at normal rates\n1. number of humans stays the same (until these fears are realized)\n\nImagine the Earth as a closed box containing Oxygen and the people within consuming that Oxygen. The box is sealed: no gases are going in or out. No oxygen is being produced in the box, and no CO2 is being added. \n\n**reference**\n\n* [Is there enough Oxygen in the atmosphere?](http://members.shaw.ca/tfrisen/is_there_enough_oxygen.htm)\n* [How much Oxygen is there for a person to survive in an air-tight enclosure?](http://members.shaw.ca/tfrisen/how_much_oxygen_for_a_person.htm)\n* NASA\n* [WEIGHT TO VOLUME CONVERTER](http://www.thecalculatorsite.com/conversions/weighttovolume.php)\n* [Wikipedia](http://en.wikipedia.org/wiki/World_population)\n\nAstronauts consume 0.84 kg of Oxygen per day (this is the amount of Oxygen provided on the space station). \n\n\n| OXYGEN CONSUMED (1.43 kg/m3) | For a person at rest\t| For a person on the space station |\n|:-------------------- |:--------------------------------- |:------------------------------- |\n| **Oxygen needed by 1 person/day** | 0.617 kg/day | 0.84 kg/day |\n| **Liters** | 349.09 L/day | 436.3636 L/day |\n| **Length of time needed to use all the useable Oxygen in 1 cubic meter of air** |0.051 kg / 0.617 kg/day = 0.083 day or 2 hours|0.051 kg / 0.84 kg/day = 0.061 day or 1.5 hours |\n\n| CO2 EXHALED (1.98 kg/m3) | For a person at rest\t| For a person on the space station |\n|:-------------------- |:--------------------------------- |:------------------------------- |\n| **CO2 by 1 person/day** | 0.349 kg/day | 0.864 kg/day |\n| **Liters** | 349.09 L.day | 436.3636 L/day |\n\nconvert kg of Oxygen to Liters:\n\nOxygen has density: 1.43 kg/m3\n\n0.617 = 431.47 Liters\n\n12 to 25 breaths per minute. Size of each breath is 500 mL. Percent CO2 exhaled is 4% so CO2 per breath is approx 0.04g ( 2g/L x .04 x .5l). \n\n12 bpm * 0.04g * 1440 minutes/day = 864 grams CO2 output per day.\n= 349.09 Liters\n\n15 bpm * 0.04g * 1440 minutes/day = 864 grams CO2 output per day.\n= 436.3636 Liters\n\n\n## Estimated world population\n**7.324 billion people**\n\n## How much Oxygen is in the atmosphere?\n(1) What is the total mass of the atmosphere?\n(a) Calculate the surface area of the Earth:\n    Area of a sphere = 4 x Pi x Radius2,     Radius2 means Radius Squared.\n    The Radius of the Earth is 6.37 x 106 m\n    Area of the Earth = 4 x Pi x ( 6.37 x 106m)2\n                                = 5.099 x 1014 m2  (5.1 x 1014 m2)\n                                \n\tthis is 20.95% Oxygen\n\tNumber of Litre of O2 in the atmosphere is: 3.75 x 1019mole x 22.4L/mole  =  8.4e20 L.\n\n## calculations\n7,183,396,338 people consume approx. 349 L of oxygen per day = 2,514,188,718,300 Liters of Oxygen each day. \nthere are 840,000,000,000,000,000,000 Liters of Oxygen available in the atmosphere\nWithout replenishment the oxygen would sustain our breathing for **915,352.87 years. **"
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": "sketches below"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "# Let's draw a piechart showing the relative percentages of gasses\n\nimport matplotlib.pylab as plt\n\nfig = plt.figure()\nfig.figsize = (600)\nplt.axis('equal')\nlabels = ['Nitrogen', 'Oxygen', 'Carbon Dioxide']\nfracs = [78.0, 20.9, 0.035]\nplt.pie(fracs, labels=labels)\nplt.title(\"proportions of gases \\nby element in Earth's atmosphere\")\nfig.savefig(\"pie_gases.jpg\")",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
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TpvVo2rQpZcqUycN9S1LBkcVcynNJSUns3LmTdeuiWb9+CzdvXkanq0FSUh1S\nU18C6gDegNq94tvACeAYjo67ePRoJx4eXrRu3ZQ2bZrRuHFjnJ2dVc4oSTkji7mUJ27evMn69ev5\n8ce17Nu3A1vb6iQktMZobAWEUTQ+njEAR1CUrTg6biU5eT/+/lXo1asjXbt2pkKFCmoHlKQsyWIu\nPTe9Xs9PP/3E5MlzOXnyCFptKxIT2wNtAEvo0aYAu7G1XYmirMbLy5sBA7rTo0d3vLy81A4nSWZk\nMZdyRQjBgQMHiIqaw8qVK7GyqktCQl/gVaCE2vHyURqwC1vbxQixirCwmrz/fiSvv/461tbWaoeT\nJFnMpZx58OAB33//A1Onzub+fQNJSX0xGnsDxbGHmgRswMFhOtbWZ3n//UEMHjwQV1dXtYNJxZgs\n5tIz3bp1i4kT/8f06TMxGluRlDQIqI/6H14WFr+j001BiFV06vQaH330HiEhIWqHkoohWcylTMXF\nxfH55xNZtGgxQnQjJWU4j08dlDJ3Gyur77GxiSIsrAr/+98X1KlTR+1QUjEii7lk5uLFi3z44Wg2\nbNiAwTCA1NT3AXnudc49AhZgZzeG+vVr8e23X1ClShW1Q0nFgLw2iwRAfHw8H3wwksqVa7FmTQWS\nk2NJTR2PLOS5ZQP0R68/y9atDahVK5yuXSOIi4tTO5hk4WQxL+YMBgOzZs3GxyeIqKjrJCefIC1t\nFJZxaqGadBiNH5CcfI5Vq8oRHFyDwYOH8uDBA7WDSRZKDrMUYzt37mTAgKFcu6YjMfF/QG21I1mw\nW9jafoydXTSzZ0+lQ4cOageSLIws5sXQ/fv3GTRoGOvXb0OvnwB0QZ6dUlB2YW//JvXrV2bOnKny\ny0dSnpHDLMXM+vXr8fcPYc0ae/T6k0BXZCEvSI1ITPydbdtCCQqqxrRpURiNRrVDSRZA9syLifj4\neAYOfJ+1a3eg188GmqgdSeJP7O3fJCAAVq/+ET8/P7UDSUWY7JkXA3v27CEwsBqrV2vQ639HFvLC\nojKJibs4caIjISEvsWLFCrUDSUWY7JlbMCEE//3vZD77bDxJSd8D7dWOJGXpMHZ23Xn99aZ8//1k\nbG1t1Q4kFTGymFsovV5Pr15vEh39B3r9asBP7UhStuLR6fpRrlwsmzatpHz58moHkooQOcxigS5d\nukT16g3YuBH0+j3IQl5UOJKUtIxz53oTFvYvYmJi1A4kFSGymFuYrVu3Ehb2L2Jje5OcvBCwUzuS\nlCsKRuPbPqzIAAAgAElEQVR7xMevpH37XsyePVftQFIRIYu5BZkx4wdefbUHDx8uwWB4H3nKYVHW\nkKSknbz77ud8/PFo5GiolB05Zm4hxo2bwJdfTkevjwEqqh1HyjM3sbN7hXbtqrJgwUw5EYaUJYvv\nmTs6OnLp0iW1Y+QbIQQffDCSL7+ch17/K7KQWxoP9PodrF17hyZN2vLw4UO1A0mFVJEv5n5+fnh4\neKDX603LZs2aRXh4OPD4yzLpX8aIiIjg008/VSNmvjAYDERGDmbGjBj0+l0Uz1l/igN7kpJW89tv\n/tSr10JerEvKVJEv5gBGo5HJkye/8HbS0tLyIE3BSE1N5bXXerJ8+Sn0+m2AnLLMsmlJSYni/Pla\nNG7chvj4eLUDSYVMkS/miqIwfPhwJk2aZNZjUZTHH/5pNBpiY2OZOXMmixcvZsKECTg6OtK+/eMv\n0Pj5+REVFUW9evVwdnbGYDCwbt06qlSpgouLC+Hh4Zw+fdq03SNHjlC9enXc3d3p378/PXv2NOvt\nb9iwgWrVqlGyZEnq16/PiRMnTI/5+fkxY8YM6tati4uLC926dSMlJSXXx2w0GuncuTdbtjxEr98E\nOOV6G1JRpJCSMpXTp6vQpElbEhMT1Q4kFSaiiPPz8xO//PKL6NSpk/jkk0+EEEL88MMPIjw8XAgh\nhKIoIjY2VgghREREhPj0008zrF+5cmWxa9cukZycLM6cOSNsbW3FL7/8ItLS0sRXX30lKlasKFJT\nU0VKSoooV66c+Oabb0RaWppYuXKlsLGxMW3zyJEjwsnJSaxZs0Y8ePBAjBs3Tvj5+YlHjx6Z9hUW\nFiYOHjwozp49K/z8/MSMGTNydbxGo1H07/+2sLNrJEAvQMhbsbsZhK1thKhTJ1wkJia+0N+PZDmK\nfM8cHvfCx44dy9SpU7lz5w5AlqdyZba8W7duNGzYkBIlSrBs2TKqV69Os2bNsLKy4t133+Xy5cvs\n3buX/fv3c/PmTQYNGoSVlRWvvfYaZcr8MxPPzJkz6dq1K+3bt8fJyYkPP/yQhIQE9u/fb2rTu3dv\nateuTUBAAK1ateLYsWO5OtZPPx3L4sV70OvXAbpcrStZCg3JybP4/feytGzZgeTkZLUDSYWARRRz\ngCpVqvDKK68wfvx40xBLTj058e7169epUaOG6b6dnR3BwcFcuXKFa9euERgYaHbdjCfbxsXFsWjR\nIlxcXHBxccHV1ZWkpCSuXbtmalOtWjXTz56eniQkJOQ459SpUXz77UL0+migZK6OUbI0ViQnz+PI\nkZJ069Y3y86LVHxYTDEHGDNmDD/88ANXr17N9HFFUTJ90Wu1WtPPZcuW5bfffjPdT0xM5PTp03h7\ne+Pp6cnZs2fNekJHjhwx/VyuXDl69+7N/fv3TbeEhAS6du2aaZ7c/AEuWbKUESPGoddvATxyvJ5k\nybQkJS0gJuYCo0Z9oXYYSWUWVcz9/f3p2rUrkydPzrR37uHhwfHjx5951kqXLl04duwY27ZtIzU1\nlWnTpuHt7U29evWoW7cuHh4ejB49mjt37jB58mRu3LhhWnfAgAEsX76cNWvWkJiYSGJiIj///HOu\net+Z2bt3L/36vUtS0kagwgttS7I0OvT6Nfz3v7NYvlxeQrc4s6hiDvDZZ5+ZnXP+pH79+nH58mVK\nly5Np06dMm0TGBjIkiVLGDJkCG5ubkRHR7N+/Xq0Wi02NjasWrWKzZs3ExwczIkTJ2jbti02NjYA\n1KxZk8WLFzNu3Di8vLwICAhgwYIFWQ77KIqS7ZDQ1atXeeWVziQlzQNCc/w8SMWJJ3r9Wvr2Hczh\nw4fVDiOpRH6d/wV5eHgwYcIE+vTpk+fbTklJoVatxpw+3Y60tP/k+fYlS7OGUqWGcPz4fjm3aDFk\ncT3z/LZr1y5u3LjB3bt3GTNmDAkJCbRu3Tpf9jVo0FBiY71ISxuZL9uXLE0HHj58m5YtO/Lo0SO1\nw0gFTBbzXDpz5gzVqlXD19eX1atXs3LlSjw88v4DyUWLFrNsWQxJSXOQVz+UciotbQSXLnkyfPjH\nakeRCpgcZimEzpw5Q40aDf7/CojVsm0vSebuYmdXnZUrv+fll19WO4xUQGQxL2QMBgPVqzfg5Mke\nCPGO2nGkImsXJUt249y533Fzc1M7jFQA5DBLITNx4rdcuGCLEIPVjiIVaY1ISupNz55vyi8UFROy\nZ16InD59mho1GpCUdBB5Prn04lKws3uJKVPep1+/vmqHkfKZLOaFhMFgoEaNhpw8+QZGoxxekfLK\nceztm3Hhwh+4u7urHUbKR3KYpZCYNOl/xMbaYDTK4RUpL4WSmhrBkCEj1A4i5TPZMy8ELl68SJUq\ntUlKOgD4qx1Hsjjx6HSViIlZRv369dUOI+UT2TMvBIYM+YjU1PeQhVzKH44kJf2XPn0GF6nZtKTc\nkcVcZfv27WP79r2kpX2gdhTJonXhxg1Xpk6NUjuIlE/kMIuKhBCEhtbj5Mm3gLy/toskmTuFvX0j\nzp8/YTapimQZZM9cRStWrODixRSgl9pRpGKhEqmpvfj00y/VDiLlA9kzV0lycjK+vpW5dWs2EK52\nHKnYuImtbSXOnz8hr6xoYWTPXCXffTeDhISqyEIuFSwPjMZ+jB49Xu0gUh6TPXMVPHr0CE9Pf+7d\nWwvUyLa9JOWtW9jaBsveuYWRPXMVLFmyhEePgpGFXFKHO0ZjP0aN+krtIFIekj3zAmY0GqlQIZS4\nuG+BFmrHkYqtx73zc+eO4+3trXYYKQ/InnkB27hxI3fv2gDN1Y4iFWvuGI19mThxstpBpDwie+YF\nrHr1Rhw7NhjopnYUqdiLxcGhLrdv/4Wtra3aYaQXJHvmBWj//v2cO3cFeF3tKJLE48tHVGflypVq\nB5HygCzmBeibb2ag178NaNWOIkkAJCQMYuLEGWrHkPKAHGYpIA8fPsTDoxzJyWcBeV1pqbBIw87O\nj/37NxESEqJ2GOkFyJ55AVm2bBlWVk2RhVwqXLSkpPTnf/+TvfOiTvbMC0hoaANOnBgBvKp2FEl6\nylV0uhDu3LmCnZ2d2mGk5yR75gXg4sWLnDt3BmitdhRJyoQXWm1NNm7cqHYQ6QXIYl4AFi5cjBCd\nAWu1o0hSpuLjuzB37gq1Y0gvQA6zFAB//2pcuDAVaKh2FEnKwh1KlPDn7t1r2Nvbqx1Geg6yZ57P\nrl69ytWrl4F6akeRpGdwxcamFjExMWoHkZ6TLOb5LDo6Gq22BWCldhRJeqb4+PYsXbpO7RjSc5LF\nPJ+tWLGJxMSX1Y4hSTnwKhs3bsBgMKgdRHoOspjno9TUVHbt2oo8i0UqGsoDbhw9elTtINJzkMU8\nH+3btw9r6wqAh9pRJClHHj1qzK5du9WOIT0HWczz0fr1cohFKlpSUhqwadOvaseQnoMs5vkoOno3\nBoOc41MqShpy4MBu5BnLRY8s5vkkLS2Ns2ePATXVjiJJueCD0ajj3LlzageRckkW83xy+vRpbGzK\nAs5qR5GkXGrI7t1y3LyokcU8nxw+fBghaqkdQ5JyLTGxAZs3y2Je1Mhink9+/fUwiYmymEtFUW0O\nHz6mdggpl2Qxzyd79hwGaqsdQ5KeQxBXrpzFaDSqHUTKBVnM80FaWhqxsSeA6mpHkaTn4IC1dWn+\n+usvtYNIuSCLeT64fPkyNjalAQe1o0jSc7G2Dub06dNqx5ByQRbzfBAXF4dW66d2DEl6bsnJspgX\nNbKY54NLly6RluandgxJem4pKcEcPSqLeVEii3k+uHDhEnq9r9oxJOkFBHP8uCzmRYks5vng9Ok4\nhPBTO4YkvQBvbty4pnYIKRdkMc8H585dAvxUTiFJL8KVhw/vqB1CygVZzPPBtWt/AeXUjiFJL8CZ\n5OR40tLS1A4i5ZAs5vng4cO7gKvaMSTpBVhhY+PM/fv31Q4i5ZAs5nnMaDSSkhIPOKodRZJeiLW1\nK3fuyKGWokIW8zyWkJCAVqsDtGpHkaQXotGUVrWYazQaLly4oNr+n7Ro0SJatWr1wttxdHTk0qVL\nmT42b948GjZs+NzblsU8jz0u5rJXLhV9QuSumG/atInGjRvj7u5OmTJlaNOmDXv27MnHhHkjIiKC\nEiVK4OTkhKenJ3Xq1GHChAkkJyeb2vTo0YPNmze/8L7i4+Px8/N74e1kRhbzPJacnIyVlU7tGJL0\nwoTQkZKSkqO2P/zwAxEREQwdOpS4uDjOnTtHZGQky5Yty/V+DQZDrtd5EYqiMGLECB4+fEhcXBzf\nffcd0dHRNG7cuEhdbEwW8zyWlJSEotiqHUOSXpgQVjk6myU+Pp4RI0YQFRVFhw4d0Ol0ODo68vrr\nrzNlyhQADh48SN26dXF2dsbT05MhQ4aQmppq2oZGo2HBggVUr16doKAg0/Jdu3ZRrVo13N3d+fDD\nD03T2Qkh+OKLL/Dz88PDw4M+ffrw8OFD4PE3sDUaDatWraJSpUq4ubkxbty4bI718XZtbGyoVasW\n69at4/Lly8ydOxfIOASyd+9eateujbOzMy+99BL79u0DYNmyZVSoUIH4+Hjg8X8rnp6e3L1713Sc\n6UNHd+/epV27dpQuXZpmzZpx48YNs0ynT5+mRYsWlCpViuDgYFasWPHMY5ADu3ksJSUFRbFRO0Yx\n8C6QPvGw8sRyJZNl6feffiyztpk9ltv2Wa2X0yzP8xj80zfLbH9P99vS22gyaf+4bXLyAeLjG5Cd\nkydPEh8fT8eOHbNso9VqmTx5MjVr1uTAgQO88cYbVKxYkffee8/UZtasWcybN4/g4GDTsvnz57Nj\nxw7i4+MJDw8nKCiIfv36MXfuXObMmcOOHTtwc3OjR48evPPOOyxYsMC07vLly9myZQunTp3i5Zdf\nplOnTmbbfhYHBwdatGjBoUOH6Nevn9lj9+7do23btkyePJmePXuyZMkS2rZtS2xsLF27dmX9+vW8\n++67TJo0if79+zN79mxKly6dYR9vv/02JUqU4MqVK1y4cIHmzZsTEBAAQGJiIs2bN+ftt99mxYoV\n7Nmzh+7du1O1alUqVaqUeWgh5akTJ04IJ6cqAoS85edNQYC85fctMjIy29f8smXLRJkyZXL1d/Lx\nxx+Ljh07mu4riiIWLFhg1kZRFDF79mzT/ZEjR4pmzZoJIYRo2rSpGDlypOmxmJgYYW1tLQwGg7h4\n8aJQFEX89ttvpseDgoLEsmXLMs0SEREhPvnkkwzLR4wYIdq0aSOEEGLu3LmiQYMGQgghFixYIMqW\nLWvW1svLS8ybN08IIcTff/8typUrJ0JCQsRbb72V4ZhiY2NFWlqasLa2Flu3bjU91qtXL9GwYUMh\nhBBLly4VQUFBZut26NBBjBkzJtNjEEII2TPPY7a2thiNydk3lF6Ixroixqbn4V9qJ7FcDusdCA8P\nz7adj48Pd+7cwWg0otFkPnJ79uxZhg0bxm+//YZeryctLY1atcxn4qpTp06G9apVq2b6uXr16qxZ\nswaA69evU7PmP5Ol16xZk7S0NG7evJnpup6eniQkJGR7LE+6evUq5cpl/PLftWvXqF7dfK6CWrVq\ncfXqVQBKlizJ66+/zrfffsuqVasy3fbt27dJS0vLcHwXL14EHl959eLFi7i4uJgeNxgMlC1bNsu8\ncsw8j8liXjCMj1pgFSv7IvlJEQpabfbPcdWqVXFycmL16tVZthk0aBBlypTh/PnzPHjwgKFDh2b4\ncDGzfR09etT085EjR/Dy8gKgbNmyHD582PTY4cOH0Wq1eHh4ZJs3M4piPtSUkJDA1q1bqV0742xh\nZcuW5ciRI2bLDh8+jLe3NwDHjh1j7ty5vPHGGwwZMiTT/bm5uaHVajMcX3oOHx8f/P39uX//vun2\n8OFDvvvuuyyPQRbzPCaLeUHpiyEuDYrOyQZFjmLMWTF3dHTk66+/5p133mHt2rXo9XoePnzI6tWr\nTWPiDg4OuLi4oNFo2L59u9nY9rMsXryYv//+m8uXL7Ny5Uq6du0KQPfu3Vm+fDmXLl0iISGBqKgo\nunXrluV/BoDpQ87Mlqc/lpKSwm+//UaHDh3w9vamb9++Gdq3adOGpKQkFi5cSFpaGosXL0av1/PK\nK6+QnJxMz549+eqrr5gzZw5Xr15l+vTpGbZhZWVFp06dmDFjBklJSfz5559s27bN9Pgrr7xCQkIC\nkyZN4saNG6SmpnLo0KFnXmNeFvM8ZmtrS1paktoxioHagAZuq53DcilpCnZ2djlq279/f+bOncs3\n33yDr68vgYGBzJkzh+7duwMwevRojh07hre3NxMnTuSdd94x6w0/3TNO17t3bxo3bkyNGjXo0KED\nkZGRAERGRhIREUGjRo2oUKECjo6OTJ069Znby2ofiqIwYcIEnJyc8PX1ZdCgQTRv3pxdu3aZ1lEU\nxfRz6dKl2bBhA5MnT8bV1ZVvv/2WDRs2UKpUKUaOHImvry8DBw7ExsaGH3/8kU8++YTY2NgMGaZN\nm0ZycjLe3t68++67Zr14R0dHfvnlF3bs2EFISAienp6MHDmSR48eZfk7UERWb1fSc0lLS8PGpgRC\npJHxLAEpL1mVqICh2UV4Se0klqnkvJL8suKXDGPbUuEke+Z5TKvVotFYAXKoJb8ZUprJcfN8lBaf\nhru7u9oxpBySxTwfODuXBa6rHaMY6IPhUtrjk+ikvCUg+WEybm5uaieRckgW83xQpow3cEXtGMVA\nAxAakBf2y3spoLXWotPJS1MUFbKY5wNfX1nMC4pG4w1xaqewQIlQsnRJtVNIuSCLeT6oWFEW84Ji\nTA7H6oIcN89zieDqKidYKUpkMc8H5ct7Y2Mji3nB6IXhghw3z3PxUKZMGbVTSLkgi3k+8Pb2xtZW\nFvOCEQ4GBe6pncOyKHcUaobWzL6hVGjIYp4PfH19gcIxQ4rl02BlVVaOm+cxh78dCAsJUzuGlAuy\nmOeDKlWqoNefBbL+tpaUdwzJjeW4eV67/fiaK1LRIYt5PrCzs6NMGT/glNpRiokeGC4U7Ow0Fi0N\nkm4lmU0SIRV+spjnkxo1qgPH1I5RTLSGVOC+2jksxF1w93LH1lbOmFWUyGKeT+rXr4aNzdHsG0p5\nQIOV1kOOm+eVW4+HCqWiRRbzfFK9ejV0OtkzLyiGpIZYXbBSO4ZF0NzRUKd6xokipMJNFvN8Uq1a\nNZKSjiFPgC4o3TFckBc3zwsONxyoX6++2jGkXJLFPJ+4ublRsqQL8kPQgvIqJAt4oHaOIu4RJMUl\n0aBB9hM5S4WLLOb5qGnTcGC72jGKCS1W1m5y3PxFXYagqkE4ODionUTKJVnM81HbtuE4OMhiXlAM\nSQ2wuijHzV+E1V9WvNLyFbVjSM9BFvN81LRpU1JTtwPyHOiC0RVjrBw3fxH2V+xp2byl2jGk5yCL\neT7y8vKiTJmywCG1oxQTHRF6AfFq5yiikiH5WjJ169ZVO4n0HGQxz2cdOrRGo4lWO0YxYYOVTWk5\nbv684iCkeoj8slARJYt5PmvX7mUcHDaqHaPYMOjropHj5s/F9rwtXTt2VTuG9JxkMc9nDRs2RIhL\nyKsoFpTOiFh5bn+upQGnoXu37monkZ6TLOb5zNrams6dO6PRLFY7SjHRBRFvhES1cxQx5yG4cjDe\n3t5qJ5GekyzmBaB//57Y2S1Cfhu0INhiVcJZjpvnkv0ZewZGDFQ7hvQCZDEvAP/617+wt38EyAtv\nFQSDvg6aS3LcPMceQdrZNF577TW1k0gvQBbzAqAoChERb2BtvUjtKMXE64jz8r+gHDsDtV6qhZub\nm9pJpBcgi3kBiYjogVa7BPkFooLwBuKBEfRq5ygaHM448GbEm2rHkF6QLOYFJDg4GF9fb0Cec57/\n7NCUcIK/1M5RBNwHcVnQqVMntZNIL0gW8wL0ySfv4eDwrdoxigVjUm00F+XLOzs2h23oF9lPXljL\nAshXewHq3Lkz1tangd/VjmL5RCdErNohCrlk0BzX8MH7H6idRMoDspgXIBsbGz744B10Otk7z389\nEfeMkKx2jsJLOarQvHlzypUrp3YUKQ8oQgj5sX8BunfvHt7eFUlK+gPwVDuORdPYOWLskACBaicp\nhIxgN92Obeu3UaeOnCLOEsieeQErVaoUb7zxBlrtd2pHsXjG5Bool+RLPFOnoUK5CrKQWxD5SlfB\niBHvodV+DzxUO4plM3ZEOa92iEJIgMNhBz4b8ZnaSaQ8JIu5CgICAnj11TZotRPVjmLhemO8Y4QU\ntXMUMqfB3cZdno5oYWQxV8mkSZ9jbR0FXFc7igUrhaaEPVxWO0chYgD7XfZ89+13WFnJSx5YElnM\nVVKuXDn69euLre0YtaNYNGNKGMolRe0YhYZyVKFqxaq0atVK7ShSHpPFXEVjxvwHK6ufgDNqR7Fc\nxvYo5+XLHIAUsN1jS9T/olAU+QZnaeSrXEWlSpXiP//5N3Z2/1E7igWLwHjLAI/UzqE+7QEtrZq3\nokaNGmpHkfKBPM9cZUlJSfj4BHH37mKggdpxLJJGZ4excxJUUDuJihJAN1PHH8f+oHz58mqnkfKB\n7JmrTKfTMX36f7G3H4jsPuYP8Sik2I+b67bqeHPAm7KQWzBZzAuB119/ndq1y8tTFfOJMLxavMfN\nT4HLfRe++vwrtZNI+agYv8ILD0VRmDfvO2xsvgXOqh3HAkVivGmAVLVzqEAPuhgdSxcsRafTqZ1G\nykeymBcSvr6+fPnlKOztI5ETWOS1smhsSsBVtXMUPN1WHb269qJhw4ZqR5HymfwAtBAxGo3Urt2E\nY8c6YTS+r3Yci6Joa0KDo4gmxejlfhY8dnlw/tR5eb3yYkD2zAsRjUbDsmVzsLX9AjipdhyLItLa\nFq9x82Sw22LH4vmLZSEvJorRq7toqFixItOm/Rc7u9eBeLXjWJB+GK8bIE3tHAVAgG6zji4dutC0\naVO100gFRA6zFFI9e/Zn1apEkpIWA8X7tLq8otiWQLzxCCx8LgbNYQ3lY8tz4rcT8kPPYkT2zAup\nH36YipfXKTSa6WpHsRxpwZZ/vvlV0P2qY9PaTbKQFzOymBdSOp2OjRtXoNONAg6rHcciiLQ2aGIt\n+CWfCHar7Zg/az4BAQFqp5EKmAW/sou+gIAA5s+fgZ1dZ+Cu2nEsQCSGKwbLPPPTAHZr7BjcbzCv\nvfZats3XrFlD3bp1KVWqFMHBwQwfPpyUFHnh96JMFvNC7rXXXmPgwK7Y27cDktSOU8QFoFhbW+Ql\n5Ev8UoKX/F5i/Jfjs207c+ZM3nrrLcaMGcPt27fZvHkzp06donnz5gWQVMovspgXAZMmjaNVq/LY\n2b2BZXYrC45iCIBLaqfIW1b7rPC47cHq5auznXAiISGBjz76iGnTptGyZUusrKzw9fVl+fLlnDlz\nhiVLltC2bVuGDx9uWqdbt27079+f1NRUSpUqxcmT/5w2e+vWLezt7bl79/F/jhMmTKBs2bJUqlSJ\n5cuXo9FouHDhAgApKSkMHz4cX19fPDw8GDRoEMnJyQDs2LEDb29vZs6cSYUKFShbtizz5s3L42fK\nssliXgRoNBqWLJlDWFg8JUoMAeQJSM/LmNoaq1it2jHyjHJEodSJUuzZvgdnZ+ds2x8/fpz4+PgM\nU8bZ29vTpk0bdu7cyZw5c1i4cCHbt29n0aJFHD58mMmTJ2NtbU337t358ccfTestWbKE5s2bU7p0\naaKjo5k0aRJbt27lyJEjrFmzxmwfH330EceOHWPjxo3s3buX06dPM3bsWNPjt27d4tixYxw4cICx\nY8fy9ttv8+DBgxd8hooPWcyLCBsbG6KjV1Gu3D60WnnBpOcXieFyGhjVzpEH/oCSe0vy6/Zf8fb2\nztEqV65cwdXVFY0m459+mTJluHz5Mh4eHkyfPp3evXvz/vvvs2DBAuzt7QHo3bs3S5YsMa2zcOFC\nevXqBcDy5ctp3bo1lSpVQqfT0b9/f1M7IQQ//PADY8eOpUqVKvj7+/Pee++xdOlSUxuj0cjYsWNx\nc3MjIiICjUbDmTNy4packsW8CHFycmLnzo2UKvUDijJX7ThFVBUUrRZuqJ3jBcWCwy8ObI/ZTmBg\nYI5X8/b25s6dOxiNGd/Nrl+/Trlyj0/Cf+WVVzAYDAQHB1OvXj1Tmzp16qDT6dixYwenT58mNjaW\ndu3amdavXr26qe2Tk2Dcvn0bvV5P27ZtcXFxwcXFhYiICO7cuWNq4+npiaurKwBarRZXV1cSEhJy\nfGzFnSzmRYynpyc7d26iZMlPUJR5ascpkhSjf9EeN78Mduvs2LRuE9WqVcvVqiEhITg6OvLTTz+Z\nLU9ISCA6OppGjRoB8PHHH1O5cmWuX79u1nsG6NOnDz/++CMLFy6kc+fO2NjYAI9fm0ePHjW1O3Lk\niOlnV1dXdDodmzdv5v79+9y/f5+///6bhw8f5iq/lDVZzIug4OBg9u/fRqlSn6HRRKkdp8gxPmpZ\ndMfNr4DuJx0rFq+gQYPcz0zl6OjIuHHjGDJkCJs3byY1NZVLly7RpUsXAgIC6N69Ozt37mTevHks\nXLiQefPmMWTIEK5du2baRs+ePVm1ahWLFi2id+/epuVdunQhOjqaTZs2cenSJaZMmWJ6TKPRMGDA\nAD777DOOHDmC0Wjk6tWrbNmy5cWeD8lEFvMiKigoiEOHduLmNgkrq/+qHaeIicTwVxEcNz8Pdivs\nWL5wOW3atHnuzbz11ltERUUxevRo3N3dadWqFZUqVeKXX37h4cOHRERE8N133+Hp6UmDBg3o168f\nkZGRpvV9fHyoUaMGGo3G7A2ldevWDBs2jMjISFq1akX79u0BKFGiBABff/01NWvW5PXXX8fZ2ZkW\nLVpw9uw/1++Xk0y/GHltliLuypUr1K3bjJs3e5Ka+gnyOi45o5TQIvoaoIzaSXJGOaHgsM2B6A3R\nZmPYaomMjMTb29vsbJSn/fzzz7Rv355Hjx5l+oGrlLfkM1zEeXt7c+jQTry9l2NtPYKi191Uhwa/\nIhx4eK0AAAa+SURBVDNubnXACpdfXdi7a2+hKOSxsbEsX76cfv36ZXhs9erVpKSkcOTIESZOnEi7\ndu1kIS8g8lm2AGXKlOHgwe1UrrwHna4roFc7UqFnSGmB1YVCPm4uwHq7NWXPlOXIgSNUrVpV7UR8\n+umn1K9fn7Fjx+Lr65vh8ZkzZ+Lu7k6LFi0oXbo006fLC8UVFDnMYkGSk5Pp2XMAmzadRq9fC5RV\nO1IhdgBs/gUjKZwjU4/ANtoWf+HPji07TKfsSVJWZM/cgtja2rJixQL+/e8O6HQvAfvUjlSI1QE0\ncFvtHJm4A3bz7Wgb2JYDuw/IQi7liCzmFkZRFEaP/pjly2fg4NAeRZmpdqRCy0pTrvCNm/8JuoU6\nJn08iRWLV5i+eSlJ2ZHDLBbs7NmztGzZkVu3QklKigJc1I5UyPTHKng+hm6FYC45A9hss8H5kjM/\nr/mZWrVqqZ1IKmJkz9yCBQYGcurUYXr1csPOLgzYqnakQqY3hotp6l+37AHYL7anvn19Th0/JQu5\n9FxkMbdwOp2O77+fwurVs3Bx6UOJEkOBZLVjFRINQGjUm/fDCMphBd0cHSP6juCXTb9QqlQplcJI\nRZ0cZilG7t69S+/eb7Fz5ykSE38EcnddD0tkpfPB0OwKFHRn+A7Yb7angmMFlixYQpUqVQo4gGRp\nZM+8GCldujQbNiwnKmoEDg4tsbF5H/hb7ViqMiQ1xerCsyd0yNsdgtUeK+wW2vH5259z9OBRWcil\nPCGLeTGjKAq9e/fiwoU/6NpVj05XCUWZQ/H95mhPDBcNBTNufhXs59tTN60ufxz7g6HvDc12ZiBJ\nyik5zFLMHT58mMjIIVy4YCQxcSrwktqRCpgRrLUwSEB+DVffBbvddthcteF/E/9H79695UWlpDwn\ne+bFXK1atTh2bA/Tpg3G2bkDtrYRwHm1YxUgDVZaz/w53zz+8bc47Rfa89HrH3Hl4hX69OkjC7mU\nL2Qxl9BoNERE9OHSpVMMHeqLvf2/0Ol6AafVjlYgDEmNsbqYh8MdSY+vqaL7QceAugOIOx/Hpx9/\nKr8AJOUrWcwlk5IlSzJu3BiuXo1lxIhgHBwaYWfXDTiZ7bpF2xsYLuTBZwYPQLtdi26Gjs6+nTlz\n8gxTvplC6dKlX3zbkpQNOWYuZSk+Pp5p06Yzfvw3GAx1SUx8F2hC4bwy1Yv4/3HztwVkP8G9OcHj\nadyO2CFiBb169WL4+8MJCAjIj6CSlCVZzKVs6fV65syZy8SJUdy7J0hMfAshemFJlwew0pXB0Opm\nzk+9TwP+AIejDjgYHPhw2If0i+yHk5NTfsaUpCzJYi7lmBCC3bt3M3FiFDEx0VhZvYxeHwk0BYr6\nKXadsQpbjaGjIesmRiAOSpwpgeaUhtCwUD759ye0adNGTsAgqU4Wc+m53Lt3j8WLlzBlyhyuXLmC\nEK+QnNwBaA7o1I73HH4Ch84w/Kk/ByNwGUqcLoHmtAbPMp5E9oyk6/+1cwctUUQBAMf/szaDkSSk\nroKkl21ldfMQSwcvIZ0iMKnIoJNfoE/lB9CDB+km6NqhQDOhCdFywdIkLF3FbamDHjwIHTLN1/8H\nw5vjYw5/Hm/ezJMRcrncucxUOokx1x9bWVlhfHyCsbEJFhdfkyR32dl5ANwHLsq/uH/ApRieAwnw\nAZLVhIZ3DbS3tTP6bJSnI0/J5/PnPVHpRMZcp2pra4vJyUnGxiaYnn5BknRTqw2wvz8ADAA5/r0X\nqF+BMlHjY+IrdajCzVs3Gb43zKOHjygUCuc9Qem3jLn+mlqtxsLCAjMzM0xNzTI3N0u1uk8cD7Cz\nU+Lnzx4gz2Hgz+IMdo3DD6KWiKK3NDUtAW84OPhIsXibUqmHwcE7DA0NcfnyRdwq0v/MmOtMra2t\nUS6XefnyFfPz70nTlPX1ZZLkGnGc5+DgBnt73UDbsasZuHo0xhxuZNePxuP328AG8BnYIIo2aGzc\nII4/Ae+pVpdpbb1OodBLqdRLf38vfX19FItF4jg+60chnSpjrnNXr9epVCqkaUqapqyuVqhUNllf\n32Rz8wvfv2+zu/uNanWbev0HmUyGKGo4GjNkMg1EUYampmZaWrJ0dGTp7MzS1ZWlo6OdbDZLLpcj\nn8+74lawjLkkBcDDsZIUAGMuSQEw5pIUAGMuSQEw5pIUAGMuSQEw5pIUAGMuSQEw5pIUAGMuSQEw\n5pIUAGMuSQEw5pIUAGMuSQEw5pIUAGMuSQEw5pIUAGMuSQEw5pIUAGMuSQEw5pIUAGMuSQEw5pIU\nAGMuSQEw5pIUAGMuSQEw5pIUAGMuSQH4BQ9OC2DRB7gfAAAAAElFTkSuQmCC\n",
       "text": "<matplotlib.figure.Figure at 0x1082d1550>"
      }
     ],
     "prompt_number": 98
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "5\u00d71018 kg"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from sympy import pretty_print as pp, latex\nfrom sympy.abc import a, b, n, x\nfrom sympy import symbols, init_printing, factor, sympify, Float, Symbol\nfrom sympy.physics.units import *\n\ninit_printing(use_latex=True)\nalpha = symbols('alpha')\nalpha\n\n# equation= 6.02e23\n\n# mass= 9.1093822e\u221231\n\nCO2= Symbol('CO_2')\nO2= Symbol('O_2')\n\nCO2, O2, N\n",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "latex": "$$\\begin{pmatrix}CO_{2}, & O_{2}, & \\frac{kg m}{s^{2}}\\end{pmatrix}$$",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 83,
       "text": "\u239b         kg\u22c5m\u239e\n\u239cCO\u2082, O\u2082, \u2500\u2500\u2500\u2500\u239f\n\u239c           2 \u239f\n\u239d          s  \u23a0"
      }
     ],
     "prompt_number": 83
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "If humans breathe in oxygen and exhale carbon dioxide, how many humans would it take to submerge the planet in CO2?"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "O2, Float(28.94)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "latex": "$$\\begin{pmatrix}O_{2}, & 28.94\\end{pmatrix}$$",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 81,
       "text": "(O\u2082, 28.94)"
      }
     ],
     "prompt_number": 81
    },
    {
     "cell_type": "raw",
     "metadata": {},
     "source": "78% N\n28.94% Oxygen\n0.93% Ar\n0.035% CO2\nHumans ~ 7billion\nsubmerge\nplanet\n\nhow many Liters are there in the total atmosphere?\n\n5.14 x 1018 KG total atmosphere\n22.4L in 30 grams = 4 x 1021 L"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "x = (4 *1021)\nprint x",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "4084\n"
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "raw",
     "metadata": {},
     "source": "the current ratio of Oxygen to Carbon Dioxide is:\n"
    },
    {
     "cell_type": "raw",
     "metadata": {},
     "source": "rate of Oxygen consumption per person per day = 550 L (or 19 cubic feet)"
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "how much carbon dioxide does a person output per day? 2.3 pounds (convert)"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "",
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}