Post on 01-Jan-2016
description
1
OPTIMA PROJECT
Third Management Board Meeting, Gumpoldskirchen, Austria, May 18/20,
2006Tunisia case study
By
Ahmed EZZINE
2
METHODOLOGY
CONCLUSION
PRODUCTS / REALIZATION
WATERWARE MODELS (RRM & WRM)
Table of Contents
3
METHODOLOGY
Primary data Collection
Analysis and data Processing
Geographic Information Conception
WaterWare system
Bibliography Satellite map,maps (topo,soil…)
Hydrogeologic dataSocio-economic dataMeteorological data
IMPLEMENTATIONOF RRM & WRM
4
Case Study
Water useDomesticIndustryAgriculture
Incre
as
e
Melian basin
Area = 553Km²Population = 481 960 inhabitants 4 subcatchments Dense Drainage network
Aquifer
Lithology = plio-quaternary Groundwater storage = 27.31 MCM/ year Exploitation = 28.1 MCM / year Nbre of Bore hole = 494State = overexploitated
Noeuds
Barrages: El H’ma 26 mountains lakes 2500 wells
Case study: Melian basin, TUNISIA
5
Input of WaterWare
2 land use maps
PRODUCTS / REALIZATION
A geographic database
40 vector layers
6 raster data
Hydrogeologic, Hydrologic and Climatologic database in order to determine the:
Hydrological characteristics
Hydrogeological characteristics
6
Geographic database
Thematic map
•Soil map•Hydrographic map•Topographic map•Geologic map
•Soil Type •Contour line, road network•Railway, bench mark…•Lithology, tectonic
Corine land cover•Aerial photos 2000 •Spot image 1988
Land use map Landuse map(1988 & 2000)
7
Hydrologic study of the catchment areas
622-700m545-622m467-545m389-467m311-389m
155-233m233-311m
77-155m0-77m
Hydrography
Elevation
Digital Elevation Model of the drainage basin of Melian
Catchment geometry
Catchment relief
Drainage network
Water inflow in the catchments
8
The methodology of the cartographic edition Land Use map
Natural areas
Arable landPermanent crops
PasturesHeterogeneous
agricultural
Spot XS
Agricultural areas environment
Artificial Surface
environment
Urban fabricIndustrial, commercial
areaDump and mine
ForestWater bodies
Photo-interpretation and classification
LAND USE MAP
Aerial photography
Corine land cover legend
9
Land use map (1988)
10
Land use map (2000)
11
No change
Change
Land Use Change
12
Statistical Land Use Change
Classesarea1988(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
Classes Code1988 2000 1988 2000
area(m²) area(m²) % area % area
Artificial Surface
11: Urban fabric 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
Agricultural Area
21: Arable land 510320 13155173 0,09 2,31
22: Permanent crops43599993
236413474
677,7 64,07
23: Pastures 0 3114568 0 0,55
24: Heterogeneous agricultural areas
6739353 8887165 1,2 1,56
Forest and natural area
31: Forest 42495422 41423570 7,57 7,29
32: Herbaceous vegetation association
32890461 56813002 5,86 10
33: Open spaces with little or no vegetation
96096 286228 0,02 0,05
Water Bodies51: Inland waters 8033936 14797447 1,43 2,6
52: Marine waters 1805042 454963 0,32 0,08
13
Index of Areas changes
14
Hydrogeologic Information System(HIS)
Hydrogeologic Information System
Hydrologic data Hydrogeologic data Environmental data Meteorological data
Management of the catchments area
Management of the regions
Determination of the hydrologic characteristics
Calculate the inflow Water in each Catchment
Characteristics of 2460Well
Dams and lakes characteristics
Climat data: Temperature Rainfall Wind Evaporation
Treatment station plant Generality of STEP Affluents STEP Effluents STEP
Hydrogeologic characteristics of the Groundwater
15
Hydrologic data
Hydrogeologic data
Meteorological data
Environmental data
GIS data
Main interface of the HIS
16
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
Update will be very easy since data will be centralized
Simulation of water inflow in the catchment
Conception allowing making additions of new frames and modules
We can manage a SHP files without using ArcView
17
WATERWARE MODELS
(RRM & WRM)
18
RAINFALL/RUNOFF MODEL(RRM)
19
Implementation of RRM model
20
Parameters of RRM model
21
Elevation distribution (area/elevation)
22
Land use distribution
23
Results of RRM
24
Results of RRM
25
Results of RRM
26
WATER RESSOURCE MANAGEMENT MODEL(WRM)
27
Water nodes
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 2500 wells built in the case study: complete information is available concerning: wells depth, diameter, usage, exploitation, equipment, standing water level, dry residue…
Collection of hydrologic, hydrogeologic and meteorologic data
28
WaterWare nodes chart
29
Melian basin
Rmel basin
Melah basin Hma basin
Hma reservoir
TP
Tourristic
Domestic
Industry
Medgerda Canal
Irrigation
Groundwater
Sea
Topologic modelDemand node
Start node
End node
Treatment nodeReservoir node
30
Implementation of WRM model
31
Reservoir node
32
Irrigation node
33
Diversion node
34
Results of WRM
35
Results of WRM
36
Planned Work
Identification and analysis of indicators (physical & economic) and investigation of water quality related impacts
Dissemination of experience and results on the local and international scales.
Refinement and updating of GIS data baseRefinement and updating of GIS data base
Try to run the WRM model with new time series Try to run the WRM model with new time series collected from stakholders collected from stakholders
Optimisation scenarios Optimisation scenarios
WP04 Water TechnologiesWP04 Water Technologies
37
CONCLUSIONS
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
Realized works:
38
Implementation of RRM and WRM model
GIS data sent to NCRS
Topologic model of the basin has been identified
Establish the Stakholders database
Realized works:
Stakeholders Workshop
39
THANK YOU FOR YOUR ATTENTION!