Investor Presentaiton
16.0°S
With WTA concept, we addressed insurance premiums to cover users' losses as mitigation mechanisms on climate change**
and aging infrastructure, extending works to strategic, but vulnerable river basins strongly dependant on water footprints for
hydropower, food production and water supply in Southeast Brazil
São Carlos - São Paulo, Bra
70000
Rio Claro São Paulo, Brazil o
Campinas - São Paulo, Brazil o
60000
Impacts standard deviation "o" (US$):
Eta-MROC 9661x10
Eta-HadGEM 8020x10
Impacts standard deviation "o" (US$):
Eta-MROC 12483x10
Eta-HadGEM 7790x105
São Paulo.
Santos - São Paulo, Brazil
50000
Hydrological
Processes
RESEARCH ARTICLE
Season-based rainfall-runoff modelling using the probability-
distributed model (PDM) for large basins in southeastern Brazil
Rong Zhang, Luz Adriana Cuartas, Luiz Valerio de Castro Carvalho, Karinne Reis Deusdará Leal,
Eduardo Mário Mendiondo, Narumi Abe, Stephen Birkinshaw, Guilherme Samprogna Mohor,
Marcelo Enrique Seluchi, Carlos Afonso Nobre
First published: 20 May 2018 | https://doi.org/10.1002/hyp.13154
48.0°W
18.0°S-
Emborcação
46.0°W
Três Marias
20.0°S
22.0°S-
48.0°W
47.0°W
Cantareira
46.0°W
46.5°W
Furnas
44.0°W
42.0°W
BA
16.0°S
Impacts 10°US$
40000
30000
20000
10000
a.
0
000 Cantareira
Impacts standard deviation "o" (US$):
Eta-MROC 16552x106
Eta-HadGEM 11950x10
Source: Guzmán et al (2017)
Eta-MIROCS 2007-2040 Eta-HadGEM 2007-2040 Eta-MIROCS 2041-2070 Eta-HadGEM 2041-2070 Eta-MIROCS 2071-2099 Eta-HadGEM 2071-2099
DOO Furnas
AAA Emborcação
ooo Três Marias
(a) 1000
ooo Mascarenhas
WET
TST
DRY
YEAR
(b) 100
80
18.0°S
800
60
MG
Mascarenhas
ES 20.0°S
Legend
• Climatological stations (INME
Rain gauges (ANA)
Qsim (mm/year)
ŏg
40
600
400
Qerr (%)
20
0
-20
-40
200
-60
22.0°S
-80
Rain gauges (INMET)
Rain gauges (CEMADEN)
0
-100
Rain gauges (DAEE)
200 400 600 800 1000
CT
EB
100
100 km
Hydroelectric stations (ONS)
Qobs (mm/year)
TM FN MC
Basins
Dams (DAEE)
44.0°W
42.0°W
46.0°W
Principal rivers
Reservoirs
**
Projected economical impacts of climate
change on water utility company revenue
from a 2800-km2 supply system, in
Southeast Brazil (Sao Paulo Metropolitan
Region), show great range of possibilities
for trading off and for developing
adaptation strategies of Ecosystem-based
Adaptation (EbA) with Payment for
Ecosystem Services (PES) supporting WTA
insurance.
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