Transcript Diapositive 1

OPTIMA PROJECT
Third Management Board Meeting,
Gumpoldskirchen, Austria, May 18/20, 2006
Tunisia case study
By
Ahmed EZZINE
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Table of Contents
METHODOLOGY
 PRODUCTS / REALIZATION
 WATERWARE MODELS (RRM & WRM)
 CONCLUSION
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METHODOLOGY
Primary data Collection
Bibliography
Satellite map,
Hydrogeologic data Socio-economic data Meteorological data
maps (topo,soil…)
Analysis and data Processing
Geographic Information Conception
WaterWare system
IMPLEMENTATION
OF RRM & WRM
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Melian basin
Area = 553Km²
Population = 481 960 inhabitants
4 subcatchments
 Dense Drainage network
Water use
Domestic
Industry
Agriculture
Increase
Case Study
Noeuds
Barrages: El H’ma
 26 mountains lakes
 2500 wells
Aquifer
 Lithology = plio-quaternary
Groundwater storage = 27.31 MCM/ year
 Exploitation = 28.1 MCM / year
 Nbre of Bore hole = 494
State = overexploitated
Case study: Melian basin, TUNISIA
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PRODUCTS / REALIZATION
A geographic database
40 vector layers
6 raster data
2 land use maps
Hydrogeologic, Hydrologic and Climatologic database in order to determine the:
 Hydrological characteristics
 Hydrogeological characteristics
Input of WaterWare
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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)
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Hydrologic study of the catchment areas
Catchment geometry
Catchment relief
Drainage network
Hydrography
Elevation
Water inflow in the catchments
0-77m
77-155m
155-233m
233-311m
311-389m
389-467m
467-545m
545-622m
622-700m
Digital Elevation Model of the drainage
basin of Melian
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The methodology of the cartographic edition Land Use map
Spot XS
Aerial photography
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
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Land use map (1988)
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Land use map (2000)
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Land Use Change
No change
Change
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Statistical Land Use Change
1988
2000
1988
2000
area(m²)
area(m²)
% area
% area
21293116
23422292
3,79
4,12
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
Water Bodies
12:
Industrial,
transport units
commercial
and
22: Permanent crops
23: Pastures
33: Open spaces with little or no
vegetation
Classes
area1988(m²)
area2000(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
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Index of Areas changes
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4,33
3,61
4
2,29
2
1,22
0,39
0,61
0,56
0,39
0,03
0
-0,19
-0,24
Urban fabric
Industrial, commercial and transport units
Variable index
-2
Mine, dump and construction sites
Arable land
Permanent crops
-4
Pastures
Heterogeneous agricultural areas
-6
Forest
Shrubs and/or herbaceous vegetation associations
Open spaces with little or no vegetation
-8
Inland waters
Marine waters
-10
-12
-14
-13,00
-16
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Hydrogeologic Information System(HIS)
Hydrogeologic Information System
Hydrologic data
Hydrogeologic data
Environmental data
Characteristics of 2460
Well
Treatment station plant
Generality of STEP
Affluents STEP
Effluents STEP
Management of the
catchments area
Management of the
regions
Determination of the
hydrologic characteristics
Hydrogeologic
characteristics of the
Groundwater
Meteorological data
 Climat data:
Temperature
Rainfall
Wind
Evaporation
Dams and lakes
characteristics
Calculate the inflow
Water in each Catchment
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Main interface of the HIS
GIS data
Environmental data
Meteorological data
Hydrogeologic data
Hydrologic data
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Interest of the Hydrogeologic Information System
 A Data Bank with a maximum of data about region’s feature (hydrological,
hydrogeological, environmental, meteorological, soil, GIS data…)
Regroup and organize data in the same frame. The scatting of the
hydrogeological data about the catchment area will be a hurdle behind
researches
We can manage a SHP files without using ArcView
Simulation of water inflow in the catchment
Conception allowing making additions of new frames and modules
Update will be very easy since data will be centralized
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WATERWARE MODELS
(RRM & WRM)
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RAINFALL/RUNOFF MODEL
(RRM)
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Implementation of RRM model
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Parameters of RRM model
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Elevation distribution (area/elevation)
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Land use distribution
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Results of RRM
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Results of RRM
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Results of RRM
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WATER RESSOURCE MANAGEMENT MODEL
(WRM)
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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
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WaterWare nodes chart
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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
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Implementation of WRM model
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Reservoir node
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Irrigation node
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Diversion node
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Results of WRM
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Results of WRM
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Planned Work
Refinement and updating of GIS data base
Try 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
Optimisation scenarios
WP04 Water Technologies
Dissemination of experience and results on the local
and international scales.
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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:
Lake, dam…
Observation well, bore hole…
Vectors layers and raster data technical report
Hydrological technical report
Determination of the inputs user in WaterWare
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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
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THANK YOU FOR YOUR ATTENTION!
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