OPTIMA PROJECT Third Management Board Meeting Gumpoldskirchen Austria

OPTIMA PROJECT Third Management Board Meeting, Gumpoldskirchen, Austria, May 18/20, 2006 Tunisia case study By Ahmed EZZINE 1

Table of Contents METHODOLOGY PRODUCTS / REALIZATION WATERWARE MODELS (RRM & WRM) CONCLUSION 2

METHODOLOGY Primary data Collection Bibliography Satellite map, maps (topo, soil…) Hydrogeologic data Socio-economic data Meteorological data Analysis and data Processing Geographic Information Conception Water. Ware system IMPLEMENTATION OF RRM & WRM 3

Melian basin üArea = 553 Km² üPopulation = 481 960 inhabitants ü 4 subcatchments ü Dense Drainage network Water use ØDomestic ØIndustry ØAgriculture Increase Case Study Noeuds üBarrages: El H’ma ü 26 mountains lakes ü 2500 wells Aquifer ü Lithology = plio-quaternary üGroundwater storage = 27. 31 MCM/ year ü Exploitation = 28. 1 MCM / year ü Nbre of Bore hole = 494 üState = overexploitated Case study: Melian basin, TUNISIA 4

PRODUCTS / REALIZATION A geographic database ü 40 vector layers ü 6 raster data 2 land use maps Hydrogeologic, Hydrologic and Climatologic database in order to determine the: ü Hydrological characteristics ü Hydrogeological characteristics Input of Water. Ware 5

Geographic database Thematic map Land use map • Soil map • Hydrographic map • Topographic map • Geologic map • Aerial photos 2000 • Spot image 1988 • Soil Type • Contour line, road network • Railway, bench mark… • Lithology, tectonic Corine land cover Landuse map (1988 & 2000) 6

Hydrologic study of the catchment areas Catchment geometry Catchment relief Drainage network Hydrography Elevation Water inflow in the catchments 0 -77 m 77 -155 m 155 -233 m 233 -311 m 311 -389 m 389 -467 m 467 -545 m 545 -622 m 622 -700 m Digital Elevation Model of the drainage basin of Melian 7

The methodology of the cartographic edition Land Use map Aerial photography Spot XS Photo-interpretation and classification Corine land cover legend Agricultural areas environment Arable land Permanent crops Pastures Heterogeneous agricultural Artificial Surface environment Urban fabric Industrial, commercial area Dump and mine Natural areas Forest Water bodies LAND USE MAP 8

Land use map (1988) 9

Land use map (2000) 10

Land Use Change No change Change 11

Statistical Land Use Change 1988 2000 area(m²) % area 21293116 23422292 3, 79 4, 12 12: Industrial, commercial and transport units 999699 20937925 0, 18 3, 68 13: Mine, dump and construction sites 2049048 5413689 0, 37 0, 95 21: Arable land 510320 13155173 0, 09 2, 31 435999932 364134746 77, 7 64, 07 0 3114568 0 0, 55 24: Heterogeneous agricultural areas 6739353 8887165 1, 2 1, 56 31: Forest 42495422 41423570 7, 57 7, 29 32: Herbaceous vegetation association 32890461 56813002 5, 86 10 96096 286228 0, 02 0, 05 51: Inland waters 8033936 14797447 1, 43 2, 6 52: Marine waters 1805042 454963 0, 32 0, 08 Classes Code 11: Urban fabric Artificial Surface Agricultural Area Forest and natural area 22: Permanent crops 23: Pastures 33: Open spaces with little or no vegetation Water Bodies Classes area 1988(m²) area 2000(m²) LUC /total (%) Artificial Surface 24341863 49773906 4, 60 Agricultural Area 443249606 389291651 -9, 76 Forest and Semi-natural area 75481979 98522800 4, 17 Water Bodies 9838978 15252411 0, 98 12

Index of Areas changes 13

Hydrogeologic Information System(HIS) Hydrogeologic Information System Hydrologic data Hydrogeologic data ØCharacteristics of 2460 Well ØManagement of the catchments area ØManagement of the regions ØDetermination of the hydrologic characteristics ØHydrogeologic characteristics of the Groundwater Environmental data ØTreatment station plant Generality of STEP Affluents STEP Effluents STEP Meteorological data Ø Climat data: Temperature Rainfall Wind Evaporation ØDams and lakes characteristics ØCalculate the inflow Water in each Catchment 14

Main interface of the HIS GIS data Environmental data Meteorological data Hydrogeologic data Hydrologic data 15

Interest of the Hydrogeologic Information System q A Data Bank with a maximum of data about region’s feature (hydrological, hydrogeological, environmental, meteorological, soil, GIS data…) q. Regroup and organize data in the same frame. The scatting of the hydrogeological data about the catchment area will be a hurdle behind researches q. We can manage a SHP files without using Arc. View q. Simulation of water inflow in the catchment q. Conception allowing making additions of new frames and modules q. Update will be very easy since data will be centralized 16

WATERWARE MODELS (RRM & WRM) 17

RAINFALL/RUNOFF MODEL (RRM) 18

Implementation of RRM model 19

Parameters of RRM model 20

Elevation distribution (area/elevation) 21

Land use distribution 22

Results of RRM 23

Results of RRM 24

Results of RRM 25

WATER RESSOURCE MANAGEMENT MODEL (WRM) 26

Water nodes §Collection of 2500 wells built in the case study: complete information is available concerning: wells depth, diameter, usage, exploitation, equipment, standing water level, dry residue… §Dams: name, coordinates , sector, year of construction, storage capacity, irrigated area, inflow water, name of catchment… §Collection of historic data related to observation wells in the groundwater §Mountains Lakes: name, coordinates, realization year, name of catchment, area of the catchment, storage capacity, delegation… §Observation well: name, coordinates, year, dry residue , standing water level… §Collection of hydrologic, hydrogeologic and meteorologic data 27

Water. Ware nodes chart 28

Topologic model Melian basin Melah basin Demand node End node Start node Treatment node Reservoir node Hma basin Rmel basin Medgerda Canal Hma reservoir Irrigation Groundwater Tourristic Domestic Industry TP Sea 29

Implementation of WRM model 30

Reservoir node 31

Irrigation node 32

Diversion node 33

Results of WRM 34

Results of WRM 35

Planned Work üRefinement and updating of GIS data base üTry to run the WRM model with new time series collected from stakholders Identification and analysis of indicators (physical & economic) and investigation of water quality related impacts ü üOptimisation scenarios üWP 04 Water Technologies üDissemination of experience and results on the local and international scales. 36

CONCLUSIONS Realized works: §Geographic database § 40 layers SHP and 6 raster data § Two Land use map (1988 & 2000) §Land Use Change map §Hydrogeological database § Information about 2460 wells (depht, standing water level, salinity, …) § Information about the groundwater (phreatic and profond) § Information about nodes: ØLake, dam… ØObservation well, bore hole… §Vectors layers and raster data technical report §Hydrological technical report §Determination of the inputs user in Water. Ware 37

Realized works: §Establish the Stakholders database §Topologic model of the basin has been identified §Implementation of RRM and WRM model §GIS data sent to NCRS § Stakeholders Workshop 38

THANK YOU FOR YOUR ATTENTION! 39