Water allocation for multiple uses based on probabilistic reservoir inflow forecasts
Identifieur interne :
005143 ( PascalFrancis/Corpus );
précédent :
005142;
suivant :
005144
Water allocation for multiple uses based on probabilistic reservoir inflow forecasts
Auteurs : Sankar Arumugam ;
Ashish Sharma ;
Upmanu LallSource :
-
IAHS-AISH publication [ 0144-7815 ] ; 2003.
RBID : Pascal:03-0493462
Descripteurs français
- Pascal (Inist)
- Ceara,
Réservoir,
Statistique,
Prévision,
Probabilité,
Fiabilité,
Bassin versant,
Stockage eau,
Fluctuation,
Modèle,
Climat,
Stratégie,
Gestion ressource eau,
Simulation,
Débit,
Affectation,
Variabilité climat.
English descriptors
- KwdEn :
- Ceara Brazil,
climate,
discharge,
drainage basins,
fluctuations,
models,
prediction,
probability,
reliability,
reservoirs,
simulation,
statistics,
strategy,
water resource management,
water storage.
Abstract
Allocating water to downstream users is traditionally a conservative exercise. The amount of water to be allocated for each use is usually decided based on stringent assumptions about the sequence of likely reservoir inflows and a requirement that the reliability of the allocated amount also has to be specified. But, the inflows that actually occur are often predictable based on catchment storage and longer scale climatic fluctuations. This paper presents a framework towards water allocation for multiple uses by developing: (a) 18 months-ahead ensemble forecasts of reservoir inflows based on larger scale climatic indices; (b) the specification of the annual water contract terms; (c) a water allocation model that maximizes the release given the reliability and the contract terms. The approach is demonstrated through an application to the Oros Reservoir in the state of Ceara, Brazil by maximizing annual reservoir yields using ensemble forecasts of inflows conditioned on the climate information developed for the period 1913-1995. Results from this study show the usefulness of this water allocation framework to issue annual water contracts using reservoir inflow forecasts and develop adequate strategies towards better water system management in regions where the link to low-frequency climate variability is strong.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
| pA |
| A01 | 01 | 1 | | @0 0144-7815 |
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| A06 | | | | @2 281 |
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| A08 | 01 | 1 | ENG | @1 Water allocation for multiple uses based on probabilistic reservoir inflow forecasts |
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| A09 | 01 | 1 | ENG | @1 Water resources systems : hydrological risk, management and development : Sapporo, 30 June - 11 July 2003 |
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| A11 | 01 | 1 | | @1 ARUMUGAM (Sankar) |
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| A11 | 02 | 1 | | @1 SHARMA (Ashish) |
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| A11 | 03 | 1 | | @1 LALL (Upmanu) |
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| A12 | 01 | 1 | | @1 BLOSCHL (Günter) @9 ed. |
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| A12 | 02 | 1 | | @1 FRANKS (Stewart) @9 ed. |
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| A12 | 03 | 1 | | @1 KUMAGAI (Michio) @9 ed. |
|---|
| A12 | 04 | 1 | | @1 MUSIAKE (Katumi) @9 ed. |
|---|
| A12 | 05 | 1 | | @1 ROSBJERG (Dan) @9 ed. |
|---|
| A14 | 01 | | | @1 International Research Institute for Climate Prediction @2 Palisades, New York 10964 @3 USA @Z 1 aut. @Z 3 aut. |
|---|
| A14 | 02 | | | @1 School of Civil and Environmental Engineering, The University of New South Wales @2 Sydney @3 AUS @Z 2 aut. |
|---|
| A18 | 01 | 1 | | @1 International Association of Hydrological Sciences. International Commission on Water Resources Systems @2 Paris @3 FRA @9 patr. |
|---|
| A20 | | | | @1 184-191 @7 1 |
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| A21 | | | | @1 2003 |
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| A23 | 01 | | | @0 ENG |
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| A26 | 01 | | | @0 1-901502-32-5 |
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| A43 | 01 | | | @1 INIST @2 8967 @5 354000117353710230 |
|---|
| A44 | | | | @0 0000 @1 © 2003 INIST-CNRS. All rights reserved. |
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| A45 | | | | @0 6 ref. |
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| A47 | 01 | 1 | | @0 03-0493462 |
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| A60 | | | | @1 P @2 C |
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| A61 | | | | @0 A |
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| A64 | 01 | 1 | | @0 IAHS-AISH publication |
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| A66 | 01 | | | @0 GBR |
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| C01 | 01 | | ENG | @0 Allocating water to downstream users is traditionally a conservative exercise. The amount of water to be allocated for each use is usually decided based on stringent assumptions about the sequence of likely reservoir inflows and a requirement that the reliability of the allocated amount also has to be specified. But, the inflows that actually occur are often predictable based on catchment storage and longer scale climatic fluctuations. This paper presents a framework towards water allocation for multiple uses by developing: (a) 18 months-ahead ensemble forecasts of reservoir inflows based on larger scale climatic indices; (b) the specification of the annual water contract terms; (c) a water allocation model that maximizes the release given the reliability and the contract terms. The approach is demonstrated through an application to the Oros Reservoir in the state of Ceara, Brazil by maximizing annual reservoir yields using ensemble forecasts of inflows conditioned on the climate information developed for the period 1913-1995. Results from this study show the usefulness of this water allocation framework to issue annual water contracts using reservoir inflow forecasts and develop adequate strategies towards better water system management in regions where the link to low-frequency climate variability is strong. |
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| C02 | 01 | 2 | | @0 226A03 |
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| C02 | 02 | X | | @0 001E01N03 |
|---|
| C03 | 01 | 2 | FRE | @0 Ceara @2 NG @5 01 |
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| C03 | 01 | 2 | ENG | @0 Ceara Brazil @2 NG @5 01 |
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| C03 | 01 | 2 | SPA | @0 Ceara @2 NG @5 01 |
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| C03 | 02 | 2 | FRE | @0 Réservoir @5 02 |
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| C03 | 02 | 2 | ENG | @0 reservoirs @5 02 |
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| C03 | 03 | 2 | FRE | @0 Statistique @5 03 |
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| C03 | 03 | 2 | ENG | @0 statistics @5 03 |
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| C03 | 03 | 2 | SPA | @0 Estadística @5 03 |
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| C03 | 04 | 2 | FRE | @0 Prévision @5 04 |
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| C03 | 04 | 2 | ENG | @0 prediction @5 04 |
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| C03 | 04 | 2 | SPA | @0 Previsión @5 04 |
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| C03 | 05 | 2 | FRE | @0 Probabilité @5 05 |
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| C03 | 05 | 2 | ENG | @0 probability @5 05 |
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| C03 | 05 | 2 | SPA | @0 Probabilidad @5 05 |
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| C03 | 06 | 2 | FRE | @0 Fiabilité @5 07 |
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| C03 | 06 | 2 | ENG | @0 reliability @5 07 |
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| C03 | 06 | 2 | SPA | @0 Fiabilidad @5 07 |
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| C03 | 07 | 2 | FRE | @0 Bassin versant @5 08 |
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| C03 | 07 | 2 | ENG | @0 drainage basins @5 08 |
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| C03 | 07 | 2 | SPA | @0 Cuenca @5 08 |
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| C03 | 08 | 2 | FRE | @0 Stockage eau @5 09 |
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| C03 | 08 | 2 | ENG | @0 water storage @5 09 |
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| C03 | 08 | 2 | SPA | @0 Almacenamiento agua @5 09 |
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| C03 | 09 | 2 | FRE | @0 Fluctuation @5 10 |
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| C03 | 09 | 2 | ENG | @0 fluctuations @5 10 |
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| C03 | 09 | 2 | SPA | @0 Fluctuación @5 10 |
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| C03 | 10 | 2 | FRE | @0 Modèle @5 11 |
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| C03 | 10 | 2 | ENG | @0 models @5 11 |
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| C03 | 10 | 2 | SPA | @0 Modelo @5 11 |
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| C03 | 11 | 2 | FRE | @0 Climat @5 12 |
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| C03 | 11 | 2 | ENG | @0 climate @5 12 |
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| C03 | 11 | 2 | SPA | @0 Clima @5 12 |
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| C03 | 12 | 2 | FRE | @0 Stratégie @5 13 |
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| C03 | 12 | 2 | ENG | @0 strategy @5 13 |
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| C03 | 12 | 2 | SPA | @0 Estrategia @5 13 |
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| C03 | 13 | 2 | FRE | @0 Gestion ressource eau @5 14 |
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| C03 | 13 | 2 | ENG | @0 water resource management @5 14 |
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| C03 | 13 | 2 | SPA | @0 Gestión recurso agua @5 14 |
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| C03 | 14 | 2 | FRE | @0 Simulation @5 16 |
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| C03 | 14 | 2 | ENG | @0 simulation @5 16 |
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| C03 | 14 | 2 | SPA | @0 Simulación @5 16 |
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| C03 | 15 | 2 | FRE | @0 Débit @5 17 |
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| C03 | 15 | 2 | ENG | @0 discharge @5 17 |
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| C03 | 15 | 2 | SPA | @0 Gasto @5 17 |
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| C03 | 16 | 2 | FRE | @0 Affectation @4 INC @5 52 |
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| C03 | 17 | 2 | FRE | @0 Variabilité climat @4 INC @5 53 |
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| C06 | | | | @0 ILS @0 TA |
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| C07 | 01 | 2 | FRE | @0 Brésil @2 NG |
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| C07 | 01 | 2 | ENG | @0 Brazil @2 NG |
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| C07 | 01 | 2 | SPA | @0 Brasil @2 NG |
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| C07 | 02 | 2 | FRE | @0 Amérique du Sud |
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| C07 | 02 | 2 | ENG | @0 South America |
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| C07 | 02 | 2 | SPA | @0 America del sur |
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| N21 | | | | @1 328 |
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| N82 | | | | @1 PSI |
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| pR |
| A30 | 01 | 1 | ENG | @1 Water resources systems. International symposium @3 Sapporo JPN @4 2003-06-30 |
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Format Inist (serveur)
| NO : | PASCAL 03-0493462 INIST |
|---|
| ET : | Water allocation for multiple uses based on probabilistic reservoir inflow forecasts |
|---|
| AU : | ARUMUGAM (Sankar); SHARMA (Ashish); LALL (Upmanu); BLOSCHL (Günter); FRANKS (Stewart); KUMAGAI (Michio); MUSIAKE (Katumi); ROSBJERG (Dan) |
|---|
| AF : | International Research Institute for Climate Prediction/Palisades, New York 10964/Etats-Unis (1 aut., 3 aut.); School of Civil and Environmental Engineering, The University of New South Wales/Sydney/Australie (2 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | IAHS-AISH publication; ISSN 0144-7815; Royaume-Uni; Da. 2003; No. 281; Pp. 184-191; Bibl. 6 ref. |
|---|
| LA : | Anglais |
|---|
| EA : | Allocating water to downstream users is traditionally a conservative exercise. The amount of water to be allocated for each use is usually decided based on stringent assumptions about the sequence of likely reservoir inflows and a requirement that the reliability of the allocated amount also has to be specified. But, the inflows that actually occur are often predictable based on catchment storage and longer scale climatic fluctuations. This paper presents a framework towards water allocation for multiple uses by developing: (a) 18 months-ahead ensemble forecasts of reservoir inflows based on larger scale climatic indices; (b) the specification of the annual water contract terms; (c) a water allocation model that maximizes the release given the reliability and the contract terms. The approach is demonstrated through an application to the Oros Reservoir in the state of Ceara, Brazil by maximizing annual reservoir yields using ensemble forecasts of inflows conditioned on the climate information developed for the period 1913-1995. Results from this study show the usefulness of this water allocation framework to issue annual water contracts using reservoir inflow forecasts and develop adequate strategies towards better water system management in regions where the link to low-frequency climate variability is strong. |
|---|
| CC : | 226A03; 001E01N03 |
|---|
| FD : | Ceara; Réservoir; Statistique; Prévision; Probabilité; Fiabilité; Bassin versant; Stockage eau; Fluctuation; Modèle; Climat; Stratégie; Gestion ressource eau; Simulation; Débit; Affectation; Variabilité climat |
|---|
| FG : | Brésil; Amérique du Sud |
|---|
| ED : | Ceara Brazil; reservoirs; statistics; prediction; probability; reliability; drainage basins; water storage; fluctuations; models; climate; strategy; water resource management; simulation; discharge |
|---|
| EG : | Brazil; South America |
|---|
| SD : | Ceara; Estadística; Previsión; Probabilidad; Fiabilidad; Cuenca; Almacenamiento agua; Fluctuación; Modelo; Clima; Estrategia; Gestión recurso agua; Simulación; Gasto |
|---|
| LO : | INIST-8967.354000117353710230 |
|---|
| ID : | 03-0493462 |
|---|
Links to Exploration step
Pascal:03-0493462
Le document en format XML
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</seriesStmt><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Ceara Brazil</term>
<term>climate</term>
<term>discharge</term>
<term>drainage basins</term>
<term>fluctuations</term>
<term>models</term>
<term>prediction</term>
<term>probability</term>
<term>reliability</term>
<term>reservoirs</term>
<term>simulation</term>
<term>statistics</term>
<term>strategy</term>
<term>water resource management</term>
<term>water storage</term>
</keywords><keywords scheme="Pascal" xml:lang="fr"><term>Ceara</term>
<term>Réservoir</term>
<term>Statistique</term>
<term>Prévision</term>
<term>Probabilité</term>
<term>Fiabilité</term>
<term>Bassin versant</term>
<term>Stockage eau</term>
<term>Fluctuation</term>
<term>Modèle</term>
<term>Climat</term>
<term>Stratégie</term>
<term>Gestion ressource eau</term>
<term>Simulation</term>
<term>Débit</term>
<term>Affectation</term>
<term>Variabilité climat</term>
</keywords><front><div type="abstract" xml:lang="en">Allocating water to downstream users is traditionally a conservative exercise. The amount of water to be allocated for each use is usually decided based on stringent assumptions about the sequence of likely reservoir inflows and a requirement that the reliability of the allocated amount also has to be specified. But, the inflows that actually occur are often predictable based on catchment storage and longer scale climatic fluctuations. This paper presents a framework towards water allocation for multiple uses by developing: (a) 18 months-ahead ensemble forecasts of reservoir inflows based on larger scale climatic indices; (b) the specification of the annual water contract terms; (c) a water allocation model that maximizes the release given the reliability and the contract terms. The approach is demonstrated through an application to the Oros Reservoir in the state of Ceara, Brazil by maximizing annual reservoir yields using ensemble forecasts of inflows conditioned on the climate information developed for the period 1913-1995. Results from this study show the usefulness of this water allocation framework to issue annual water contracts using reservoir inflow forecasts and develop adequate strategies towards better water system management in regions where the link to low-frequency climate variability is strong.</div>
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</fA09><fA11 i1="01" i2="1"><s1>ARUMUGAM (Sankar)</s1>
</fA11><fA11 i1="02" i2="1"><s1>SHARMA (Ashish)</s1>
</fA11><fA11 i1="03" i2="1"><s1>LALL (Upmanu)</s1>
</fA11><fA12 i1="01" i2="1"><s1>BLOSCHL (Günter)</s1>
<s9>ed.</s9>
</fA12><fA12 i1="02" i2="1"><s1>FRANKS (Stewart)</s1>
<s9>ed.</s9>
</fA12><fA12 i1="03" i2="1"><s1>KUMAGAI (Michio)</s1>
<s9>ed.</s9>
</fA12><fA12 i1="04" i2="1"><s1>MUSIAKE (Katumi)</s1>
<s9>ed.</s9>
</fA12><fA12 i1="05" i2="1"><s1>ROSBJERG (Dan)</s1>
<s9>ed.</s9>
</fA12><fA14 i1="01"><s1>International Research Institute for Climate Prediction</s1>
<s2>Palisades, New York 10964</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
</fA14><fA14 i1="02"><s1>School of Civil and Environmental Engineering, The University of New South Wales</s1>
<s2>Sydney</s2>
<s3>AUS</s3>
<sZ>2 aut.</sZ>
</fA14><fA18 i1="01" i2="1"><s1>International Association of Hydrological Sciences. International Commission on Water Resources Systems</s1>
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</fA66><fC01 i1="01" l="ENG"><s0>Allocating water to downstream users is traditionally a conservative exercise. The amount of water to be allocated for each use is usually decided based on stringent assumptions about the sequence of likely reservoir inflows and a requirement that the reliability of the allocated amount also has to be specified. But, the inflows that actually occur are often predictable based on catchment storage and longer scale climatic fluctuations. This paper presents a framework towards water allocation for multiple uses by developing: (a) 18 months-ahead ensemble forecasts of reservoir inflows based on larger scale climatic indices; (b) the specification of the annual water contract terms; (c) a water allocation model that maximizes the release given the reliability and the contract terms. The approach is demonstrated through an application to the Oros Reservoir in the state of Ceara, Brazil by maximizing annual reservoir yields using ensemble forecasts of inflows conditioned on the climate information developed for the period 1913-1995. Results from this study show the usefulness of this water allocation framework to issue annual water contracts using reservoir inflow forecasts and develop adequate strategies towards better water system management in regions where the link to low-frequency climate variability is strong.</s0>
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<s2>NG</s2>
<s5>01</s5>
</fC03><fC03 i1="01" i2="2" l="ENG"><s0>Ceara Brazil</s0>
<s2>NG</s2>
<s5>01</s5>
</fC03><fC03 i1="01" i2="2" l="SPA"><s0>Ceara</s0>
<s2>NG</s2>
<s5>01</s5>
</fC03><fC03 i1="02" i2="2" l="FRE"><s0>Réservoir</s0>
<s5>02</s5>
</fC03><fC03 i1="02" i2="2" l="ENG"><s0>reservoirs</s0>
<s5>02</s5>
</fC03><fC03 i1="03" i2="2" l="FRE"><s0>Statistique</s0>
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<s5>03</s5>
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<s5>04</s5>
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<s5>04</s5>
</fC03><fC03 i1="04" i2="2" l="SPA"><s0>Previsión</s0>
<s5>04</s5>
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<s5>05</s5>
</fC03><fC03 i1="05" i2="2" l="ENG"><s0>probability</s0>
<s5>05</s5>
</fC03><fC03 i1="05" i2="2" l="SPA"><s0>Probabilidad</s0>
<s5>05</s5>
</fC03><fC03 i1="06" i2="2" l="FRE"><s0>Fiabilité</s0>
<s5>07</s5>
</fC03><fC03 i1="06" i2="2" l="ENG"><s0>reliability</s0>
<s5>07</s5>
</fC03><fC03 i1="06" i2="2" l="SPA"><s0>Fiabilidad</s0>
<s5>07</s5>
</fC03><fC03 i1="07" i2="2" l="FRE"><s0>Bassin versant</s0>
<s5>08</s5>
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<s5>08</s5>
</fC03><fC03 i1="07" i2="2" l="SPA"><s0>Cuenca</s0>
<s5>08</s5>
</fC03><fC03 i1="08" i2="2" l="FRE"><s0>Stockage eau</s0>
<s5>09</s5>
</fC03><fC03 i1="08" i2="2" l="ENG"><s0>water storage</s0>
<s5>09</s5>
</fC03><fC03 i1="08" i2="2" l="SPA"><s0>Almacenamiento agua</s0>
<s5>09</s5>
</fC03><fC03 i1="09" i2="2" l="FRE"><s0>Fluctuation</s0>
<s5>10</s5>
</fC03><fC03 i1="09" i2="2" l="ENG"><s0>fluctuations</s0>
<s5>10</s5>
</fC03><fC03 i1="09" i2="2" l="SPA"><s0>Fluctuación</s0>
<s5>10</s5>
</fC03><fC03 i1="10" i2="2" l="FRE"><s0>Modèle</s0>
<s5>11</s5>
</fC03><fC03 i1="10" i2="2" l="ENG"><s0>models</s0>
<s5>11</s5>
</fC03><fC03 i1="10" i2="2" l="SPA"><s0>Modelo</s0>
<s5>11</s5>
</fC03><fC03 i1="11" i2="2" l="FRE"><s0>Climat</s0>
<s5>12</s5>
</fC03><fC03 i1="11" i2="2" l="ENG"><s0>climate</s0>
<s5>12</s5>
</fC03><fC03 i1="11" i2="2" l="SPA"><s0>Clima</s0>
<s5>12</s5>
</fC03><fC03 i1="12" i2="2" l="FRE"><s0>Stratégie</s0>
<s5>13</s5>
</fC03><fC03 i1="12" i2="2" l="ENG"><s0>strategy</s0>
<s5>13</s5>
</fC03><fC03 i1="12" i2="2" l="SPA"><s0>Estrategia</s0>
<s5>13</s5>
</fC03><fC03 i1="13" i2="2" l="FRE"><s0>Gestion ressource eau</s0>
<s5>14</s5>
</fC03><fC03 i1="13" i2="2" l="ENG"><s0>water resource management</s0>
<s5>14</s5>
</fC03><fC03 i1="13" i2="2" l="SPA"><s0>Gestión recurso agua</s0>
<s5>14</s5>
</fC03><fC03 i1="14" i2="2" l="FRE"><s0>Simulation</s0>
<s5>16</s5>
</fC03><fC03 i1="14" i2="2" l="ENG"><s0>simulation</s0>
<s5>16</s5>
</fC03><fC03 i1="14" i2="2" l="SPA"><s0>Simulación</s0>
<s5>16</s5>
</fC03><fC03 i1="15" i2="2" l="FRE"><s0>Débit</s0>
<s5>17</s5>
</fC03><fC03 i1="15" i2="2" l="ENG"><s0>discharge</s0>
<s5>17</s5>
</fC03><fC03 i1="15" i2="2" l="SPA"><s0>Gasto</s0>
<s5>17</s5>
</fC03><fC03 i1="16" i2="2" l="FRE"><s0>Affectation</s0>
<s4>INC</s4>
<s5>52</s5>
</fC03><fC03 i1="17" i2="2" l="FRE"><s0>Variabilité climat</s0>
<s4>INC</s4>
<s5>53</s5>
</fC03><fC06><s0>ILS</s0>
<s0>TA</s0>
</fC06><fC07 i1="01" i2="2" l="FRE"><s0>Brésil</s0>
<s2>NG</s2>
</fC07><fC07 i1="01" i2="2" l="ENG"><s0>Brazil</s0>
<s2>NG</s2>
</fC07><fC07 i1="01" i2="2" l="SPA"><s0>Brasil</s0>
<s2>NG</s2>
</fC07><fC07 i1="02" i2="2" l="FRE"><s0>Amérique du Sud</s0>
</fC07><fC07 i1="02" i2="2" l="ENG"><s0>South America</s0>
</fC07><fC07 i1="02" i2="2" l="SPA"><s0>America del sur</s0>
</fC07><fN21><s1>328</s1>
</fN21><fN82><s1>PSI</s1>
</fN82><pR><fA30 i1="01" i2="1" l="ENG"><s1>Water resources systems. International symposium</s1>
<s3>Sapporo JPN</s3>
<s4>2003-06-30</s4>
</fA30><server><NO>PASCAL 03-0493462 INIST</NO>
<ET>Water allocation for multiple uses based on probabilistic reservoir inflow forecasts</ET>
<AU>ARUMUGAM (Sankar); SHARMA (Ashish); LALL (Upmanu); BLOSCHL (Günter); FRANKS (Stewart); KUMAGAI (Michio); MUSIAKE (Katumi); ROSBJERG (Dan)</AU>
<AF>International Research Institute for Climate Prediction/Palisades, New York 10964/Etats-Unis (1 aut., 3 aut.); School of Civil and Environmental Engineering, The University of New South Wales/Sydney/Australie (2 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>IAHS-AISH publication; ISSN 0144-7815; Royaume-Uni; Da. 2003; No. 281; Pp. 184-191; Bibl. 6 ref.</SO>
<LA>Anglais</LA>
<EA>Allocating water to downstream users is traditionally a conservative exercise. The amount of water to be allocated for each use is usually decided based on stringent assumptions about the sequence of likely reservoir inflows and a requirement that the reliability of the allocated amount also has to be specified. But, the inflows that actually occur are often predictable based on catchment storage and longer scale climatic fluctuations. This paper presents a framework towards water allocation for multiple uses by developing: (a) 18 months-ahead ensemble forecasts of reservoir inflows based on larger scale climatic indices; (b) the specification of the annual water contract terms; (c) a water allocation model that maximizes the release given the reliability and the contract terms. The approach is demonstrated through an application to the Oros Reservoir in the state of Ceara, Brazil by maximizing annual reservoir yields using ensemble forecasts of inflows conditioned on the climate information developed for the period 1913-1995. Results from this study show the usefulness of this water allocation framework to issue annual water contracts using reservoir inflow forecasts and develop adequate strategies towards better water system management in regions where the link to low-frequency climate variability is strong.</EA>
<CC>226A03; 001E01N03</CC>
<FD>Ceara; Réservoir; Statistique; Prévision; Probabilité; Fiabilité; Bassin versant; Stockage eau; Fluctuation; Modèle; Climat; Stratégie; Gestion ressource eau; Simulation; Débit; Affectation; Variabilité climat</FD>
<FG>Brésil; Amérique du Sud</FG>
<ED>Ceara Brazil; reservoirs; statistics; prediction; probability; reliability; drainage basins; water storage; fluctuations; models; climate; strategy; water resource management; simulation; discharge</ED>
<EG>Brazil; South America</EG>
<SD>Ceara; Estadística; Previsión; Probabilidad; Fiabilidad; Cuenca; Almacenamiento agua; Fluctuación; Modelo; Clima; Estrategia; Gestión recurso agua; Simulación; Gasto</SD>
<LO>INIST-8967.354000117353710230</LO>
<ID>03-0493462</ID>
</server>
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