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math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Aug 20, 2020

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Page 1: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 2: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 3: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 4: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 5: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 6: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Exponen'al  growth  and  decay  

Page 7: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Tell-­‐tale  sign  of  exponen'al  growth  –  slow  ini'al  growth  followed  by  rapid  increase  (we  will  quan'fy  it  in  terms  of  marginal  changes)  

Page 8: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Tell-­‐tale  sign  of  exponen'al  decay  –  rapid  decrease  followed  by  a  slow-­‐down  in  the  rate  of  decrease  

Page 9: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Stats  Canada  2011  census  data  –  need  to  learn  more  to  be  able  to  make  a  reliable  predic'on  

Page 10: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Hypoxic  areas  in  oceans  

Hypoxic  (low-­‐oxygen)  areas  in  the  world's  oceans  and  large  lakes  (“dead  zones”),  caused  by  

“excessive  nutrient  pollu'on  from  human  ac'vi'es  coupled  with  other  factors  that  deplete  the  oxygen  required  to  support  most  marine  life  in  boLom  and  near-­‐boLom  water.”  (NOAA  =  Na'onal  Oceanic  and  Atmospheric  Administra'on)  

read  more  (op'onal):  hLps://oceanservice.noaa.gov/facts/deadzone.html  

Page 11: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Lake  Erie,  Lower  St.  Lawrence  Estuary  

Page 12: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Number of dead zones

Diaz  and  Rosenberg,  2008.  Science  321:926-­‐929  

Page 13: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 14: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

hLps://scripps.ucsd.edu/programs/keelingcurve/  

Page 15: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 16: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

hLp://www.newsindata.com/home/2017/1/19/ne\lix-­‐surges-­‐in-­‐2016-­‐comcastnot-­‐so-­‐much  

But  …    cannot  con'nue  forever  (there  is  always  limit  to  the  growth)  

Page 17: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

One  possibility  …  logis'c  growth  

the  value  at  the  'pping  point  =  ½  of  the  carrying  capacity  

'pping  point,  inflec'on  

Page 18: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

(red=number  of  infected;  black=number  of  deaths)  

Exponen'al  curves  in  describing  infec'ous  diseases  (Ebola)  

These  paLerns  cannot  con'nue  forever  (there  is  always  limits  to  the  growth)  

Page 19: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

op'onal:  hLps://www.ny'mes.com/2020/02/29/health/coronavirus-­‐flu.html?utm_source=pocket-­‐newtab  

Page 20: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Comparing  seasonal  flu  and  coronavirus  infec'ons  for  poli'cal  (and  other  non-­‐medical)  reasons  is  dangerous,  oden  unethical  and  does  not  help  

How  do  we  compare,  for  medical/research  purposes?  

What  are  the  most  important  parameters?  

Page 21: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Of  the  people  infected,  how  many  will  die?  

How  easy/difficult  is  it  for  the  virus  to  spread?  

Page 22: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Of  the  people  infected,  how  many  will  die?  

Fatality  rate/death  rate  

How  easy/difficult  is  it  for  the  virus  to  spread?  

Reproduc'on  number  =  how  many  non-­‐infected  people,  on  average,  are  infected  due  to  a  contact  with  an  infected  person  

Page 23: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Note:  Percent  of  what?  

Page 24: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

This  slide  and  the  previous  one:  it’s  hard  to  precisely  define  the  base  rate  (i.e.,  what  is  it  the  percent  of)  

Page 25: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

To  compare:  the  worst  seasonal  flu  …  R_0  is  1.3  

Page 26: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 27: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

What  else  is  important?  

Page 28: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Can  we  verify  this?  

How  it  spreads?  

Page 29: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Tipping  point?  

Page 30: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

The  power  of  visuals  …  

Page 31: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 32: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 33: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 34: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 35: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 36: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Power  of  visuals  …  This  is  Nutella  …  

Page 37: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Power  of  visuals  …  This  is  the  same  Nutella  …  

Page 38: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human
Page 39: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Quan'fying  exponen'al  growth  and  decay  

half-life = time needed for a quantity to decay to one half of its original amount

doubling time = time needed for a quantity to double, i.e., grow to twice its original amount

Page 40: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

If  a  quan'ty  grows/decays  (Rate  in  percent)  

Rule  of  70:  half-­‐life,  and  doubling  'me  up  to  5%  rate  

Rule  of  72:  doubling  'me  5%  or  larger  rate  of  increase  

Page 41: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Dynamics  of  half-­‐lives  

Page 42: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Half  lives  of  drugs  

Note:  alcohol  does  not  decay  exponen'ally  

Page 43: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Why do we care about half-life?

sleeping pills: Zaleplon … 1 hour Doxylamine … 10 hours

pain/inflammation medications: Aleve … 12 hours Advil … 2 hours

What’s the difference?

Page 44: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Why do we care about half-life?

sleeping pills: Zaleplon … 1 hour Doxylamine … 10 hours

pain/inflammation medications: Aleve … 12 hours Advil … 2 hours

What’s the difference? (balance benefits vs. side-effects)

Page 45: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

How  much  caffeine  is  there  in  a  cup  of  coffee?  

Ballpark:  240  mg  of  caffeine  per  cup  

Health  Canada  standard  for  adults:  400  mg  of  caffeine  per  day  

Half-­‐life  of  caffeine  …  4-­‐5  hours  

Amount  of  caffeine  in  a  cup  of  coffee  varies  considerably  depending  on  the  coffee  beans  used  and  the  size  of  the  drink.  For  example  …  

Page 46: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Coffee  …  

source:  hLp://www.caffeineinformer.com/'m-­‐hortons-­‐coffee-­‐caffeine-­‐content  hLp://www.caffeineinformer.com/the-­‐complete-­‐guide-­‐to-­‐starbucks-­‐caffeine  

Page 47: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

WARNING  -­‐  Caffeine  can  kill!  

Page 48: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Caffeine  powder  is  extremely  toxic    

white  powder  (legal  for  now)  sold  as  a  dietary  supplement;  usually  taken  before  a  workout,  as  energy  booster,  or  to  control  weight  gain  

a  heap-­‐full  teaspoon  of  caffeine  powder  could  contain  3200  mg  of  caffeine!  so  1/16th  of  a  teaspoon  is  roughly  1  cup  of  coffee  

Page 49: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Steady  growth  of  7%  per  year  means  that  the  doubling  'me  is  roughly  10  years  

the  rule  of  70  gives        70/7  =10  years  The  rule  of  72  gives          72/7  =  10.3  years  

Examples  of  quan''es  doubling  in  ten  years    

Page 50: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

hLp://www.telegraph.co.uk/educa'on/universityeduca'on/9664927/Cost-­‐of-­‐university-­‐accommoda'on-­‐doubles-­‐in-­‐10-­‐years.html  

Page 51: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

hLp://www.stats.govt.nz/browse_for_stats/snapshots-­‐of-­‐nz/yearbook/people/popula'on/grown.aspx  

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hLp://www.bbc.co.uk/newsround/37294729  

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hLp://www.cbc.ca/news/canada/saskatchewan/saskatchewan-­‐diabetes-­‐doubles-­‐1.3524509  

Page 54: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

hLps://nccnews.expressions.syr.edu/2016/09/21/digital-­‐ny-­‐student-­‐loan-­‐debt-­‐doubles-­‐in-­‐10-­‐years/  

Page 55: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Visualizing  exponen'al  growth    

Page 56: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

1+ 2 + 22 + 23 ++ 2n−1 = 2n −1

Geometric  sequence  (case:  doubling)  

The  sum  of  all  doublings  for  the  first  doubling  to  some  doubling  

Next  doubling  minus  1  

=  

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1+ 2 + 4 = 8 −1= 7

Page 58: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

1+ 2 + 22 + 23 = 24 −1= 15

Page 59: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

1+ 2 + 22 + 23 + 24 = 25 −1= 31

Page 60: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Message:  

the  last  doubling  interval  generates  an  amount  which  is  larger  than  the  total  of  all  previous  amounts  

Page 61: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Doubling  'mes  and  reserves    

Oil:  in  1950s,  1960s,  doubling  'me  was  about  10  years;  now  doubling  'me  is  longer;  projected  reserves  will  last  30-­‐40  more  years  under  present  consump'on  paLerns  

Coal:  doubling  'me  about  35  years,  reserves  will  last  for  about  150  years;  if  increased  by  5%  per  year,  reserves  will  last  for  45  years  

Natural  gas:  100-­‐250  years  (lot  less  ader  coal  and  oil  are  exhausted)  

Page 62: math 2uu3 lecture 9Hypoxic*areas*in*oceans* Hypoxic*(low4oxygen)*areas*in*the*world's*oceans*and*large* lakes*(“dead*zones”),*caused*by* “excessive*nutrientpollu’on*from*human

Doubling  'mes  

Need  for  electricity:  in  1990s  it  was  12  years;  slowing  down,  but  might  increase  (electric  cars)  

Freshwater  withdrawals:  in  2000s  it  was  32  years;  slowing  down  as  climate  changes  

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Steady  growth  in  limited  environments  

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We  start  using  a  resource  at  11am  

Doubling  3me  =  1  minute  

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It  is  now  11:55am  

55  doubling  3mes  elapsed  

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11:55  

We  have  exhausted  just  3.1%  of  our  resource  

Popula3on  has  reached  3.1%  of  its  carrying  capacity  

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11:56  

We  have  exhausted  just  6.2%  of  our  resource  

Popula3on  has  reached  6.2%  of  its  carrying  capacity  

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11:57  

We  have  exhausted  12.5%  of  our  resource  

Popula3on  has  reached  12.5%  of  its  carrying  capacity  

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11:58  

We  have  exhausted  25%  of  our  resource  

Popula3on  has  reached  25%  of  its  carrying  capacity  

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11:59  

We  have  exhausted  50%  of  our  resource  

Popula3on  has  reached  50%  of  its  carrying  capacity  

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12:00  

We  have  exhausted  100%  of  our  resource  

Popula3on  has  reached  100%  of  its  carrying  capacity  

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12:00    no  problem  –  we  discovered  three  new  planets  

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12:01  

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12:02  

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Important  ques'on:  

When  do  we  realize  that  we  need  to  take  ac'on?  When  is  it  too  late?  

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Long  term?  

Popula'on  in  the  world  is  currently  growing  at  a  rate  of  around  1.14%  per  year.    

The  average  popula'on  change  is  currently  es'mated  at  around  80  million  per  year.    

Annual  growth  rate  reached  its  peak  in  the  late  1960s,  when  it  was  at  2%  and  above.  

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Historic  and  projected  yearly  growth  rates  

fast  enough?  

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Rate  of  increase    Doubling  'me  (rule  of  70)  

1  %            70  years  

1.14  %        61.4  years  1.2  %            58.3  

1.5  %            46.5  1.8  %            38.95  2  %            35  

so  each  person  living  for  61.4  years  witnesses  the    World  popula'on  doubling  

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Beyond  absolute  maximum:  

Total  land  mass  of  Earth  is  148,939,063  km2  

In  14  to  15  doublings  (880-­‐921  years),  the  popula'on  will  increase  by  a  factor  of  between  2^14=16,384  and  2^15=32,768  

7.8  billion  will  increase  to  over  255,590  billion,  i.e.,  about  one  human  per  square  metre  of  land  

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Beyond  absolute  maximum  

Total  land  mass  of  Earth  is  148,939,063  km2  i.e.,  (round  off  to  150)  150,000,000,000,000  m2  

255,590  billion  people  is  255,590,000,000,000  

So  more  than  one  human  per  every  square  metre  of  land  

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United  Na'ons  es'mates  and  predic'ons  

What  is  human  popula'on’s  carrying  capacity?  

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Important  message:  

Building  more  housing,  producing  more  food,  building  more  highways,  etc.  WILL  NOT  WORK  IN  THE  LONG  TERM  

We  have  to  REDUCE  the  rates  of  increase  of  popula'on  and  resources;  actually,  in  the  long  term,  the  rates  of  increase  will  have  to  be  zero,  or  nega've  (e.g.,  more  people  die  than  are  born)  

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Popula'on  increase  

Large  families  Motherhood  

Medicine/public  health  Sanita'on  

Peace,  law  and  order  

Agriculture  and  research  

Clean  air  

Ignorance  

Popula'on  decrease  

Small  families  Contracep'on  

Disease  

War,  violence  

Famine  

Pollu'on  

Government  control  

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Popula'on  increase  

Large  families  Motherhood  

Medicine/public  health  Sanita'on  

Peace,  law  and  order  

Agriculture  and  research  

Clean  air  

Ignorance  

Popula'on  decrease  

Small  families  Contracep'on  

Disease  

War,  violence  

Famine  

Pollu'on  

Government  control  

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So,  in  the  longer  term:  

In  50-­‐60  years  …  Human  popula'on  will  reach  its  carrying  capacity  (10,  12,  14  billion?)  stop  increasing,  and  quite  possibly  start  decreasing.  

In  120-­‐150  years  at  best  …  We  will  run  out  of  oil,  coal  and  other  non-­‐renewable  resources.  

In  ???  years  …  Securing  fresh  clean  water  will  be  a  huge  problem.  

Dominant  mode  of  living  is  reduc'on.  

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Distant  future  …  

10,000  years  from  now  –  humanity  is  likely  to  be  ex'nct  (based  on  Carter  catastrophe  argument,  a.k.a.  Doomsday  argument)  

Uniform  distribu'on  (Human  Randomness  Assump'on):  we  could  be  95%  certain  that  we  are  within  the  last  95%  of  humans  ever  to  be  born.  

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Exponen'al  regression  

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hLps://scrippsco2.ucsd.edu/  

Keeling  curve  data  (CO2  concentra'on)  

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Download  data  from  the  site  ...  general  informa'on  

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Into  exponen'al  regression:  

URL  hLps://keisan.casio.com/exec/system/14059930754231  (also  on  2UU3  web  page)  

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Correla'on  coefficient  is  almost  1!  

Looks  like  a  line,  but  when  we  graph  a  larger  por'on  of  it  …  (next  slide)  

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Range  is  too  small,  cannot  see  exponen'al  well  …  use  sodware:    

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Extrapolate:    

CO2 = AeBx = 337.687e0.0046(time in years)

when x = 40, CO2 = 337.687e0.0046(40) = 405.91

This  extrapola'on  is  an  underes'mate:    

in  March  2020:  413.31  parts  of  CO2  per  million  

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Calculator:    to  compute       e0.0046(40)

SHIFT   ln   (   0.0046   x   40   )   =  

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Exponen'al  regression  (data  from  before,  where  we  used  linear  regression)  

Year   Average  Global  Temperature  in  Degrees  C  

1950   13.96  

1960   13.98  

1970   14.02  

1980   14.21  

1990   14.36  

2000   14.56  

Extrapolate  to  predict  in  2010  …and  compare  with  14.61  

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enter  data,  as  usual  …    

hLp://keisan.casio.com/exec/system/14059930754231  

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Strong  posi've  correla'on  

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Exponen'al  model  extrapola'on:  

In  2010  ('me  =  60)  …  14.6181  degrees  C  (the  actual  value  is  14.61)  

In  2020  ('me  =  70)  …  14.7458  degrees  C  (don’t  know  the  actual  value)  

In  2030  ('me  =  80)…  14.8747  degrees  C    (increase  of  1.07  degrees  C  over  1880)  

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Recent  quote  from  scien'sts    “And  the  1.5  degrees  C  temperature  "guard  rail"  could  be  exceeded  in  just  12  years,  in  2030.”    

In  2030  ('me  =  80)…  14.8747  degrees  C    (increase  of  1.0747  degrees  C  over  1880)  

…  so  not  1.5  degrees  C  as  claimed  (which  means  that  other  models,  or  more  data,  were  used  for  the  1.5  C  increase  predic'on)  

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Logarithmic  scales  

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Comparing  disasters  

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What  are  the  values  of  data  points  in  this  graph?  

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logarithms  replaced  by  true  values  

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Linear  grid  consists  of  equally  spaced  lines  ...  logarithmic  grid:  

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Logarithmic  scale  on  the  ver'cal  axis  ..    why  logarithmic?  

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seismograph  

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record  of  seismic  waves  

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Richter  scale  is  logarithmic  scale  

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Lots  of  data  –  visualize!  Math  suggests  how  

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What  does  this  graph  represent?  

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Peak  break-­‐up  'mes  based  on  facebook  (UK  data)