Small probability events that could cause water supply collapse – how to deal with them

Page 1

Water Security, Risk and Society Oxford, April 2012

Small probability events that could cause water supply collapse

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Jerson Kelman CEO of Light Group


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Regiテ」o Sudeste / Centro-Oeste

Hydrological uncertainty 120

% EAR Mテ々 100

80

60

40

20

0 Nov/99

Dez/99

Jan/00

F ev/00

Mar/00

Abr/00

Mai/00

Jun/00

Jul/00

Ago/00

Set/00

Out/00

Nov/00

Dez/00


Storage in the equivalent reservoir

100 90

Beginning 2000

80

Beginning 2001

70 60 50 40 30 20 10 0 jan/02

jul/01

jan/01

jul/00

jan/00

jul/99

jan/99

jul/98

jan/98

jul/97

jan/97


Water Storage in the Sobradinho Reservoir Simulação do comportamento do reservatório de FURNAS (Vazão firme = 670 m³/s) 25000

15000

Fourth worst drought in record 10000

Volume morto = 5733 hm³

5000 Nov/56 = 5733 hm³

n00

Ja

n97

Ja

n94

Ja

n91

Ja

n88

Ja

n85

Ja

n82

Ja

n79

Ja

n76

Ja

n73

Ja

n70

Ja

n67

Ja

n64

Ja

n61

Ja

n58

Ja

n55

Ja

n52

Ja

n49

Ja

n46

Ja

n43

Ja

n40

Ja

n37

Ja

n34

Ja

n31

0 Ja

Volume (hm³)

20000

Mês/ano

Armazenamento final (hm3)

Volume Morto (hm3)

Fonte dos Dados: ONS


Lessons from case 1 •  Decisions under uncertainty are politically evaluated by their consequences, not by their wisdom •  The layman expects that the water (or electric energy) supply system is able to endure the worst drought in record •  It is sometimes preferable to make easy to understand but less than optimal decisions


Drought prone area

Sobradinho Reservoir Sao Francisco River Basin

Brazil


During the 1887-89 drought, about one million people emigrated from the drought prone area Countless died


HYDROLOGICAL VICIOUS CYCLE

People are Poor

No firm water supply

Little investment in high-value crops or industry

It is necessary an initial stock of investments on water infrastructure before reaching the “in8lexion point… and then real progress starts (David Grey and Claudia Sadoff, “Sink or Swim? Water security for growth and development”)


INTERBASIN WATER TRANSFER



Qmean São Francisco River = 2600 m3 /s 26 m3 /s ≤ Qdiversion ≤ 127 m3 /s 1% of Qmean ≤ Qdiversion ≤ 5% of Qmean 600 Km of channels


Water Storage in the Sobradinho Reservoir Simulação do comportamento do reservatório de FURNAS (Vazão firme = 670 m³/s) 25000

15000

10000

Volume morto = 5733 hm³

5000 Nov/56 = 5733 hm³

n00

Ja

n97

Ja

n94

Ja

n91

Ja

n88

Ja

n85

Ja

n82

Ja

n79

Ja

n76

Ja

n73

Ja

n70

Ja

n67

Ja

n64

Ja

n61

Ja

n58

Ja

n55

Ja

n52

Ja

n49

Ja

n46

Ja

n43

Ja

n40

Ja

n37

Ja

n34

Ja

n31

0 Ja

Volume (hm³)

20000

Mês/ano

Armazenamento final (hm3)

Volume Morto (hm3)

Fonte dos Dados: ONS


Opportunity cost of water in the Sobradinho Reservoir

90% of capacity

Sobradinho Reservoir


Small reservoir in the recipient region

u

tin

n o C

Water flow from the S達o Francisco River Basin

erm itte nt

riv er

Pipeline

Int

s u o

w o l f

r e v ri


Water reliability in different site of the recipient region w without diversion

95%

with diversion

95%


Small reservoir in the recipient region

u

o nu

i nt o C

Water flow from the São Francisco River Basin

low f s

•  Interbasin Diversion Project •  Build local reservoirs •  Build pipes and channels

Water for production

X

Int

erm

itte

nt

riv er

Pipeline

er riv

“I will sustain a hunger strike until Government cancels the Project” (Bishop Dom Cappio) •  No Interbasin Diversion Project •  Build individual water tanks •  Store rain falling on the roofs

Water for survival


Lessons from case 2 •  When the probability P of a catastrophic drought tends to zero and the corresponding cost C tends to infinity… Expected Cost … 0 × ∞ …undefined Mathematical lack of definition… … political lack of resolution

•  When ideology opposes hydrology, it is very difficult to discuss water security challenges using risk as a unifying framework


Thank you! jerson.kelman@light.com.br


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