climate changes impacts on drought management …...a decrease of water resources due to climate...
TRANSCRIPT
Climate changes impacts on drought Climate changes impacts on drought management in Mediterranean area: management in Mediterranean area:
how to improve the approaches?how to improve the approaches?M. Vurro(*), E. Bruno, R. Giordano, I. Portoghese, E. Preziosi, E. Romano
Water Research Institute, National Research Council, IRSA-CNR, Italy, Roma-Bari
Via F. De Blasio, 5 – 70123 Bari
([email protected])Water Research InstituteNational Research Council
European and Mediterranean Workshop””Climate change impact on waterClimate change impact on water--related related
and marine risksand marine risks””Murcia, October, 26th-27th, 2009
The aim of the presentation:The aim of the presentation:
1. To identify requirements for natural risk management in the context of increased threats related to climate change consequences.
2. To promote a network of actors to transform such requirements into a better protection of the population against such emerging natural hazards.
Water Research Institute, National Research Councilwww.irsa.cnr.itMurcia, October, 26 th-27th, 2009
CIRCE started from…What would we expect from climate change in water-stressed regions?
• CIRCE wants to understand and to explain how climate will change in the Mediterranean area. The project will investigate how global and Mediterranean climates interact, how properties of the atmosphere, the radiactive fluxes vary, the interaction between cloudiness and aerosol, the modifications in the water cycle and implications on social and economic sectors.
IPCC 4AR• Many semi-arid and arid areas (e.g., the Mediterranean basin, western USA,
southern Africa and north-eastern Brazil) are particularly exposed to the impacts of climate change and are projected (with high confidence) to suffer a decrease of water resources due to climate change.
• There is an urgent need to understand and quantify the impact of projected climate change on hydrological processes including vegetation and crops (feedbacks).
• Linkages between models for climate change and hydrological processes is crude, with models’ scales not relevant for decision making.
Water Research Institute, National Research Councilwww.irsa.cnr.itMurcia, October, 26 th-27th, 2009
Objective:“ Quantify the past variations and future projections in the water cycle in the Mediterranean Environment under global climate changes system.”
RL 1
RL 11Integrating Case Studies
RL 12
RL13Induced Responses and Policies
RL 6 – Extreme Events
RL 7 - Impacts of Global Change on Ecosystems and the
services they provide
RL 8 - Air Quality and Climate
RL 9 - Human Health
RL 10 - Economic Impacts of Climate Change
RL 2 - The Mediterranean Region and the Global
Climate System
RL 3 – Radiation, clouds,aerosol and climate change
RL 4 – Scale Interactionsand Feedback processes
RL 5 - Water Cycle
RL 0 - Coordination and Communication
RL 1Identification andattribution of
present climate trends
RL 5
Water
Cycle
Relevant Societal Dynamics
Water Research Institute, National Research Councilwww.irsa.cnr.itMurcia, October, 26 th-27th, 2009
WP1) Analysis of changes in Atmospheric water budget
WP2) Variations in the precipitation component of the water cycle
WP3) Variations in the terrestrial component of water cycle
WP4) Changes in Mediterranean Sea water cycle and implications for water mass characteristics
RL 5 Water CycleRL 5 Water Cycle
Water Research Institute, National Research Councilwww.irsa.cnr.it
RACCM (Regional Assessment of
Climate Change in Mediterranean Area)
• PART 1 : AIR, SEA AND PRECIPITATION: Past, Current and Future onOcean, on Atmosphere, on Extremes and on Uncertainty; Mechanisms of climate variability in the Mediterranean Region
• PART 2 : WATER: The hydrologic cycle: different components and interactions; Impacts of climate change on surface water, on ground water and coastal aquifer and on water quality.
• PART 3 : AGRICULTURE, FORESTS AND ECOSYSTEM SERVICES: Climate change impacts on typical Mediterranean crops, forests and forest products, livestock population and productivity and evaluation of adaptation strategies to cope with. Vulnerability assessment of ecosystem services in the Mediterranean region,
• PART 4 : PEOPLE: Water for people, Health, The general equilibrium approach, Policy innovation, Future visions of society in the Mediterranean
• PART 5 : CASE STUDIES–– Coastal Case StudiesCoastal Case Studies:: Gulf of Valencia (Spain), Gulf of Oran (Algeria), Gulf of
Gabes (Tunisia), Western Nile Delta (Egypt)–– Rural Case StudiesRural Case Studies:: Tuscany Region (Italy), Puglia Region (Italy), Judean
Foothills (Israel), Tel Hadya (Syria). –– Urban Case StudiesUrban Case Studies:: Alexandria (Egypt), Athens (Greece), Beirut (Lebanon),
Murcia, October, 26 th-27th, 2009
Water Research Institute, National Research Councilwww.irsa.cnr.itMurcia, October, 26 th-27th, 2009
Springs� Area of interest : it is located in Campania, a region of Southern Italy, in whichthere are not many studies about the relationship between climate change and water supply� Springs of interest : our studies are based on two main springs of the area,which are capped by Apulian aqueduct
� Caposele Sanità
� Cassano Irpino
Geological Characterization
Substantial preponderance of
�Calcareous soil (Cretaceus)
�Arenaceus soil (Oligocene – Miocene )
with smaller areas especially of
Murcia, October, 26 th-27th, 2009
Hydrological CharacterizationHydrological basins of Cassano Irpino and
Caposele Springs.
Into these limits there are 5 meteo climatic stations:• M1 = Caposele
• M2 = Acerno
• M3 = P.no Laceno
• M4 = Serrapullo
• M5 = Cassano Irpinoand 6 hydrometric station:• I1 = Acqua delle Brecce
• I2 = Fiume Sele
• I3 = V.ne dell’acero
• I4 = V.ne Iannarulo
• I5 = Sorgente Bagno
• I6 = Vallone Pinzarino
Murcia, October, 26 th-27th, 2009
Datasets and references
Previous studies of scientific literature, Influence of C.C. and water supply in the area of our interest.
In addition, we will develop successive statistical analysis using the following datasets:• historical daily series of rainfall from 1920 to 1999 (SIMN Naples);• historical (ten day) series of flow rate from 1965 to 2006 for Cassano Irpino Springs and from 1920 to 2006 for Caposele Springs.
Annual Mean Rainfall, and Annual mean flow rate, for Cassano Irpino Springs
Murcia, October, 26 th-27th, 2009
• Basin-scale testing of daily precipitation vs. 12 continuous precipitation records for 1961-1990
• Spatial averaging of point values over RCM grid-cells
Water Research Institute, National Research Councilwww.irsa.cnr.it
Case study application :Methods and dataset
Murcia, October, 26 th-27th, 2009
Development of a downscaling approach based on a Poissonian scheme of the rainfall process
Impacts on Ground Water Impacts on Ground Water
Balance RegimesBalance Regimes
SPACE-TIME DOWNSCALING METHODS
PhysicalPhysical D. (D. (dynamicdynamic D.)D.)
•• RCM RCM runrun withwith boundaryboundary c. c.
fromfrom GCM.GCM.
Empirical D.Empirical D.
•• Transfer functionsTransfer functions
•• WeatherWeather--typingtyping
•• Stochastic Stochastic
Weather GeneratorsWeather Generators
Models calibrated on observed properties from real Models calibrated on observed properties from real
observationsobservations
Model parameters can de derived from Model parameters can de derived from GCMGCM’’ss outputoutput
Suitable for cascade application of impact models for Suitable for cascade application of impact models for
hydrology, ecology, agricultural projectionshydrology, ecology, agricultural projections
Often used in combination with transfer functions for Often used in combination with transfer functions for
the spatial downscalingthe spatial downscaling
Water Research Institute, National Research Councilwww.irsa.cnr.itMurcia, October, 26 th-27th, 2009
Water Research Institute, National Research Councilwww.irsa.cnr.it
Case study application : Quantile mapping and CDF anamorphosis for quantitative bias correction
0 5 10 15 20 25 30 350
5
10
15
20
25
30
35
40
45
Observed data
RC
M
Q-Q plot -Winter
0 10 20 30 40 50 60 70 80 90 10010
-2
10-1
100
101
102
Rainfall distribution curves -Winter
[%]
Pre
cipi
tatio
n [m
m/d
ay]
Observed data
Corrected RCM 20c
0 10 20 30 40 50 60 70 80 90 10010
-2
10-1
100
101
102
Rainfall distribution curves
[%]
prec
ipita
tion
[mm
/day
]
observed data
RCM 21c (A1B)Corrected RCM 21c (A1B)
R*(d) = f (R (d) |O) S*(d) = f (S (d) |O)
f(x(d) |O) correction function to be adopted in the SD of the scenario variable (Déqué, 2007)
f (x)Q-Q fit
Murcia, October, 26 th-27th, 2009
•The variability (standard deviation computed using observations and scenario data) of monthly rainfall shows high increase during late fall months.
•During spring and summer period, rainfall reductions produce a prolonged water deficit period for soil, and consequently reduction of tha amount of groundwater recharge.
•Rainfall reductions will be during fall and winter months.
Water Research Institute, National Research Councilwww.irsa.cnr.it
Murcia, October, 26 th-27th, 2009
EvaluationEvaluationof the impact on the of the impact on the springspringregime.regime.Impact =Out (S) – Out (R)
The flowrate trends beetweenXX e XXI cen. are similar.
Peff (mm) Qm (l/s)
Observations 900 3000
XXI century 450 2500
y = -0,1293x + 6782,3
y = 0,0015x + 14,118
0
50
100
150
200
250
300
350
400
450
500
0
1000
2000
3000
4000
5000
6000
gen-
81gi
u-81
nov-
81a
pr-8
2se
t-82
feb-
83lu
g-83
dic-
83m
ag…
ott-
84m
ar-8
5a
go-8
5ge
n-86
giu-
86no
v-86
apr
-87
set-8
7fe
b-88
lug-
88di
c-88
ma
g…ot
t-89
ma
r-90
ago
-90
gen-
91gi
u-91
nov-
91a
pr-9
2se
t-92
feb-
93lu
g-93
dic-
93m
ag…
ott-
94m
ar-9
5a
go-9
5ge
n-96
giu-
96no
v-96
apr
-97
set-9
7fe
b-98
lug-
98di
c-98
ma
g…ot
t-99
P e
ff m
ensi
li o
ss (m
m)
Q m
ed m
ensi
li o
ss (l
/s)
P eff mensili oss/Q med mensili oss
y = -0,1179x + 10374
y = 0,0002x + 35,685
0
100
200
300
400
500
600
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
gen-
81
lug-
81
gen-
82
lug-
82
gen-
83
lug-
83
gen-
84
lug-
84
gen-
85
lug-
85
gen-
86
lug-
86
gen-
87
lug-
87
gen-
88
lug-
88
gen-
89
lug-
89
gen-
90
lug-
90
gen-
91
lug-
91
gen-
92
lug-
92
gen-
93
lug-
93
gen-
94
lug-
94
gen-
95
lug-
95
gen-
96
lug-
96
gen-
97
lug-
97
gen-
98
lug-
98
gen-
99
lug-
99
gen-
00
lug-
00
P e
ff m
ensi
li si
mu
late
(mm
)
Q m
ed m
ensi
li si
mu
late
(l/s
)
P_Q Simulate 2081 - 2100
Murcia, October, 26 th-27th, 2009
The gap between observations and projections is about 30% for flow rate and 50% for effective precipitation.
This feature is highlighted comparing annual trends of mean observed and simulated effective precipitations and flow rates.
0
200
400
600
800
1000
1200
1400
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
Pef
f (m
m)
Q m
ed a
nn (
l/s)
Confronto P/Q ann simulate-P/Q ann osservate
Qm_a_sim 2081-2100
Qm_a_oss 1969-1999
Peff_ann_sim 2081-2100
Peff_a_oss 1969-1999
Murcia, October, 26 th-27th, 2009
This is a crucial field for the improvement of CC impact assessment in Mediterranean water cycle.
Impacts Impacts
on Wateron WaterWhat are our expectations from CIRCE
……Water managersWater managers’’ perception is that perception is that ““the future is no the future is no
longer as it used to belonger as it used to be””. .
WP5.1 Atmospheric Water BudgetWP5.1 Atmospheric Water Budget
WP5.2 Precipitation Component of Water CycleWP5.2 Precipitation Component of Water Cycle
WP5.3 Terrestrial Component of Water CycleWP5.3 Terrestrial Component of Water Cycle
WP5.4 Mediterranean Sea Water CycleWP5.4 Mediterranean Sea Water Cycle
WP5WP5.1.1
WP5WP5.2.2
WP5WP5.3.3WP5WP5.3.3
WP5WP5.4.4
1) Integrate overlapping research questions having 1) Integrate overlapping research questions having
bordering scales of investigation and modeling. bordering scales of investigation and modeling.
2) Bridge scale gaps by completing the CC 2) Bridge scale gaps by completing the CC
scenarios with information on fundamental scenarios with information on fundamental
climatologicalclimatological variables (local downscaling).variables (local downscaling).
3) Sketch possible futures of fresh water resources 3) Sketch possible futures of fresh water resources
in the Mediterranean by way of credible in the Mediterranean by way of credible
representation of processes at a problemrepresentation of processes at a problem--solving solving
scale.scale.
ExpectationsExpectations
Water Research Institute, National Research Councilwww.irsa.cnr.it
.. and the drought management under climate change…
a risk management plan is devoted to support the implementation of mitigation measures
Murcia, October, 26 th-27th, 2009
Water Research Institute, National Research Councilwww.irsa.cnr.it
Risk management approach…
� It is the opposite of crises management: a proactive approach is taken in advance to drought.
� It implies to focus more on the causes of drought impacts than on the effects themselves.
� It cannot avoid the negative impacts of drought, but it reduces and mitigates .
� A risk management approach to drought management requires to introduce measures to reduce the system vulnerability, in order to reduce the drought impacts.
Murcia, October, 26 th-27th, 2009
Water Research Institute, National Research Councilwww.irsa.cnr.it
Risk management approach…
Murcia, October, 26 th-27th, 2009
Drought Risk = Hazard x Vulnerability
The assessment of the hazard index requires the analysis (probability) of the physical characteristics of the phenomenon
The vulnerability assessment requires to examine the underlying environmental, economic and social factors influencing the severity of drought impacts.
Water Research Institute, National Research Councilwww.irsa.cnr.it
Risk Management approach: Benefits of stakeholders involvement
Murcia, October, 26 th-27th, 2009
Stakeholdersinvolvement
Mitigationpolicies
Public awareness
Impactsassessement
Due to the complexity of drought impacts, the identification and assessment of such impacts is not an easy task. Local stakeholders are often better placed to detect and evaluate the drought impacts on the socio – environmental system.
If mitigation actions are selected without considering the stakeholders' perceptions of the drought then the actions themselves could be considered as unsatisfactory by stakeholders or, even worst, not acceptable at all.
The involvement of stakeholders in drought management could increase their knowledge about the phenomenon and could have positive effects on their awareness about their role in mitigation policies implementation.
Water Research Institute, National Research Councilwww.irsa.cnr.it
Drought impacts and droughtperception: The lake Trasimeno
� Drought impacts on the “perceived” environment and on the related water use activities strongly influence stakeholders' perceptions of drought.
� The involvement of stakeholders in impacts assessment requires the elicitation and analysis of the different drought perceptions.
� Facing a drought phenomenon, stakeholders adopt their own mental models to assess its severity, taking into account additional elements other than just water availability and climatic conditions.
� The elicitation of these mental models allow to structure the stakeholders' understanding (perception) of drought impacts.
Murcia, October, 26 th-27th, 2009
Water Research Institute, National Research Councilwww.irsa.cnr.it
Drought impacts and droughtperception: The lake Trasimeno
Murcia, October, 26 th-27th, 2009
Stakeholders Cognitive Map representing his/her understanding of drought impacts.
-2,00
-1,50
-1,00
-0,50
0,00
0,50
1,00
1,50
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55
C1 Level of the lake
C2 Quality of the lake ecosystem
C3 Sectorial approaches to environmentalmanagementC4 Ecological equilibrium
C5 Birds migration flows
C6 Livestocks
C7 Water temperature
C8 Amount of algae in the lake
C9 Bathing in the lake
C10 Number of turists
C11 Climatic Conditions
C12 Water salinity
C13 Withdraw of water from the lake
C14 New fish species
C15 Health of fish species
C16 Drought
C17 Water quality
C18 Agricultural activities
C19 Water availability
State of the system before the drought onset according to the stakeholder's understanding
-4,00
-3,00
-2,00
-1,00
0,00
1,00
2,00
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55
C1 Level of the lake
C2 Quality of the lake ecosystem
C3 Sectorial approaches to environmentalmanagementC4 Ecological equilibrium
C5 Birds migration flows
C6 Livestocks
C7 Water temperature
C8 Amount of algae in the lake
C9 Bathing in the lake
C10 Number of turists
C11 Climatic Conditions
C12 Water salinity
C13 Withdraw of water from the lake
C14 New fish species
C15 Health of fish species
C16 Drought
C17 Water quality
C18 Agricultural activities
C19 Water availability
State of the system during the drought phenomena
Water Research Institute, National Research Councilwww.irsa.cnr.it
Drought impacts and droughtperception: The lake Trasimeno
Murcia, October, 26 th-27th, 2009
Stakeholder RuoloEnte Parco del Trasimeno –
Comunità Montana
Ente di pianificazione territoriale al fine di
supportare lo sviluppo locale
Gruppo d'Azione Locale (GAL) Ente di programmazione per lo sviluppo locale
ARPA Umbria Agenzia di controllo del territorio e dell'ambiente
Coldiretti Associazione di categoria
Servizio Turistico del Trasimeno Associazione di categoria
Enti comunaliEnti locali di pianificazione e controllo del
territorio
WWF Associazioni ambientaliste
Regione Umbria Ente locale di gestione delle risorse ambientali
Provincia di Perugia Ente locale di gestione delle risorse ambientali
EIUT Ente di gestione della rete di irrigazione
• The analysis of stakeholders' drought perception ( nine categories ) allows to define the main drought impacts according to their understanding.
• The integration of the different drought perception s support the integrated assessment of drought impacts.
Water Research Institute, National Research Councilwww.irsa.cnr.it
Stakeholders involvement in drought impacts monitoring
� Taking into account the spatial and temporal scale issues, the assessment of drought impacts results in a demand to monitor a broad set of variables, with prohibitive costs if the monitoring is only based on traditional scientific methods of measurement.
� To address this issue in countries where, due to lack of financial and economical resources, it is infeasible to improve current monitoring system using only traditional scientific methods.
� Local communities can be seen as information providers in a monitoring system for drought impacts monitoring.
Murcia, October, 26 th-27th, 2009
Water Research Institute, National Research Councilwww.irsa.cnr.it
Stakeholders involvement in drought impacts monitoring
Murcia, October, 26 th-27th, 2009
The soil salinity monitoring in Amudarya River Basin (Uzbekistan).
Source: WWF
Water Research Institute, National Research Councilwww.irsa.cnr.it
Stakeholders involvement in drought impacts monitoring
Murcia, October, 26 th-27th, 2009
Soil Salinity
Soil colourafter leaching
(farmer)
Soil colourafter leaching
(farmer)
Plant growth(HE)
Plant growth(HE)
Groundwaterlevel
(HE, GIS)
Groundwaterlevel
(HE, GIS)
Groundwatersalinity
(HE, GIS)
Groundwatersalinity
(HE, GIS)
Soil texture(HE, GIS)
Soil texture(HE, GIS)
Evennessof the field
Morphology(depression, hill)
SurfaceCharacteristics
(farmer)
SurfaceCharacteristics
(farmer)
Water Quality
Number of leaching(performed)
Leaching(farmer)
Water Quality
Number of leaching(performed)
Leaching(farmer)
Leaching(farmer)
Amount of waterused for irrigation
Irrigation(farmer)
Irrigation(farmer)
Distance to thenearest channel
(WUA chairman, GIS)
Number of channelssurrounding the field
(WUA chairman, GIS)
Maintenance ofdrainage channels
(WUA chairman, GIS)
Drainagesystem
Water Research Institute, National Research Councilwww.irsa.cnr.it
Stakeholders involvement in drought impacts monitoring
Murcia, October, 26 th-27th, 2009
Water Research Institute, National Research Councilwww.irsa.cnr.it
ConclusionsRequirements for natural risk managementRequirements for natural risk management
• The prediction and quantification of the physical impacts of climate change in the Mediterranean area (1)
• The downscaling from GCM to RCM to HM (1)• The adaptation strategies in water management under
climate change (1)
Network of actors to better protect populationNetwork of actors to better protect population• The mitigation measures: technological and
infrastructural and non-technical measures (2)• The stakeholders involvement: mitigation policies and
public awareness (2)
Murcia, October, 26 th-27th, 2009
First Geophysical Observatory in the Puglia Region (XIII Century)
… From here we’ll try to help water managers in solving their problems on drought ….
Thank you for your attention…
Climate Change Impact Research:Water-related issues
after Milly et al., 2005. Nature, 438(7066), 347–350 [in IPCC 4AR]
Water Research Institute, National Research Councilwww.irsa.cnr.itMurcia, October, 26 th-27th, 2009
PDSI centennial global trend after Dai et al., 2004. [in IPCC 4AR]
Murcia, October, 26 th-27th, 2009
Water Research Institute, National Research Councilwww.irsa.cnr.it