Michel - Littoral 2010 (Education Centre)

8/8/2019 Michel - Littoral 2010 (Education Centre)

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SSA10 : Pertuis Charentais

Experiences & Perspectives

1 Ifremer, Environment and Resource Laboratory of Poitou Charente,2 Ifremer, UMR Amure, Marine Economics Departement3 Ifremer, Coastal System Dynamics Department4 UBO, UMR Amure5 Cemagref Cestas, ADER Unit6 EPTB Charente7 Eauca

Michel Lample4, Jean Prou1, Cdric Bacher3, Johanna Ball-Bganton2, Rmi Mongruel2, Jos A. Prez

Agndez2, Alice Vanhoutte-Brunier2, Harold Rthoret6, Franoise Vernier5, Paul Bordenave5, Jacqueline

Candau5, Valrie Deldrve5, Franois Delmas5 and Julien Neveu7


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SSA10 : Charente river & coastal zone

The Pertuis Charentais


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Pertuis Charentais policy issue : freshwater quantitative management

The Charente river catchment and its coastal zone, ncluding the Marennes-Olron oyster farming area

Freshwaterscarcity in the Charente river catchment

Basic needs in summer :- the availability of drinking water- The good ecological status of ecosystem

Main industries :- Agriculture (irrigation)- Shellfish farming

The policy issue :

quantitative management of the freshwater in the Charente r


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Freshwater scarcity in Pertuis Charentais

The regional plan for water management (SDAGE) and the "Watershortage Management Plan (PGE) have led to the hierarchy of theuses of freshwater:

1) good ecological status of the coastal ecosystems2) availability of drinking water for households (and tourists)3) other uses: agriculture, shellfish farming

This policy issue has been chosen by the stakeholder group aroundthe current debate of :modifying the authorized volumes of water for each uses (drinkingwater, irrigation)improving restriction rules.

ExtendSim Integrated model of ecosystem services providedby freshwater,

in order to explore conflict mitigation


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Ecosystem services and user conflicts in the Pertuis Charentais region

Support services

Regulating services

Siltation control

Hydro. stability and flood mitigation

Plankton dynamics

Cultural services

Provisioning services

Households

Farmers

Fishermenassociation

s

Wetlandmanagers

Shellfishfarmers

Primary productivity

Bioturbation (sediment mixing)

Habitat preservation

Drinking water

Freshwater for irrigation

Support of transport

Recreational fishing

Support of local traditional activities

Source of well-being

In the model

Underconstruction

12 m3/s !!!


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Modelling ecosystem services

User interface of the ExtendSim model: a Social System Projection

USAGES

RESSOURCES

GOVERNANCE


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Institutional framework : the windows for scenarios

Water policy Agriculturalpolicy

Shellfish Farmingpolicy

Laws WaterFrameworkDirective

CommonAgriculturalPolicy

National Decreeon Marinecultures

Local rules Hierarchy ofwater uses

Authorisedvolumes forirrigation

Structural plan(leasing grounds

allocation)

Collectiveagreements

Schedule ofwater releasesfrom dams

Irrigationschedules andpractices

Oyster banksand calendarmanagement

Institutional changes -> scenarios


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Water Management Scenarios irrigation

Annual :

Periodic :

Collaborative :

Annualauthorised

Volume(m3)

Periodicauthorised

Volume(m3)

x

Annualauthorised

Volume(m3)

IrrigationDispatchfunction

Period

=

Periodicauthorised

Volume(m3)

M T W T F S S M

=

Periodic +


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Well ordered topological model

UsagesUsages

ResourcesResourcesResourcesResources

Forcing

Conceptual topological projection

GovernanceGovernance

UsagesUsages UsagesUsages

Bad links

Database

High impedanceComponent

effect

Time delay

effect


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Governance for irrigation

Governance always needs regulation procedures and tools as "signal"integration in order to increase his own impedance and avoid dramaticoscillations of the controlled system.

"Measuring is integrating" (Lon lebesgue "theorie de la mesure")

measurements

model

Irrigation flowRestriction threshold

Ban threshold


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IHM and OUTPUTS

-Accessible scenario-dialog-build inline forcing conditions-stakeholders scenarios for irrigation on theWS

-Cumulative traffic-lights :-for irrigation restrictions/bans

-for corn yield stress.

Corn yield stress Irrigation bans

Governance

scenarios dialog


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SOME RESULTS

The i-ESE model proves no real advancesfor a "promising" collaborative scenario

Where did the 12 m3/s come from ?


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At this stage of the project, we were pleased with the positive feedbacksfrom the participant stakeholderand scientific group.

The water management agency (EPTB) for the Charente riverforesees a high potential for exploration of different managementscenarios and is now highly involved in the continuing developmentof the model.

They are also very interested by the communication possibilities of thetool for future discussions and negotiations with other managementactors and local farmers.

CONCLUSIONS

Thank you for attention

-Appropriation of the model by managers

-Forecasting model for weekly management of irrigation

Perspectives :

Documents

Michel - Littoral 2010 (Education Centre)