Investor Presentaiton
Water Yield Uncertainty: Brazilian nested catchments* draining to water supply utilities under climate change scenarios
between 2010-2099 show more dependence on outputs from different hydrological models (i.e. SWAT/TAMU and MHD/INPE)
than on scales....
Land-use change during 1990 (scenario S1), 2010 (scenario S2) and 2035
(scenario S2 + EbA) in the Cantareira water system (Taffarello et al, 2018)
1990
SP
2010
SP
2035
444
SÃO JOSÉ
DOS CAMPOS
5 10
20
30
05 10 20
30
SÃO JOSÉ
DOS CAMPOS
AGRICULTURE
WATER
PASTURE
Piracicaba
NATIVE VEGETATION |
URBAN AREAS
EUCALYPTUS
Cantareira system LAND USE
PCJ watersheds
State boundaries
DATUM: SIRGAS 2000
PROJECTION: UTM 235
SP
SÃO JOSÉ
DOS CAMPOS
5 10 20
30
Km
Jaguar
Water Yield
Uncertainty...
0.80
0.90
Range of impacts...
0.0%
30
20
10
0
Water Yield [V/s.km²]
0.40
0.50
...from scaling effect
0.1%
models & setups
...from different
Paulo
LIMEIRA
Piracicaba riv AMERICANA
PIRACICABA
Camanduca
Jaguar river
SUMARE CAMPINAS,
Asbala
INDAIATUBA
Extrema
I SAO JOSE
Joanópolis
DOS CAMPOS
JUNDIAL
Nazaré
Paulista
GUARULHOS
OSASCO
SÃO PAULO
eté river
Legend
Municipalities
Urban areas
Cantareira system
PCJ watersheds
State boundaries
Reservoirs
DATUM: SIRGAS 2000
Projection: UTM Fuse 225
SCALE 1:1,000,000
• SÃO BERNARDO
DO CAMPO
Paraib
Loss Ratio [S/S]
EbA centers on how WTA
premiums help trading off
drought crises as kind of
Payment for Ecosystem
Services (PES) impacting 20
million people of the Brazilian
biggest metropolitan area.
SWAT
JAG3-972
Premium/GDP [%]
MHD
JAG2-508 JAG1-277 CAC1-294
●
...but resilient mechanisms (i.e. insurance) depict
evidences of heavy influence of different spatial
scales* (areas of: 294, 277, 508 and 972 km²)View entire presentation