1. WP04 Data Compilation and Analysis by DEU Water Resources Management Research and Application Center (SUMER), TURKEY DEU Water Resources Management Research and Application Center

2. ...the work package of SMART to compile, analyze and compare data used in each case study by means of a standardized database. The main objective of WP04 is......to compile and process the data required for the individual case study applications of the methods defined in WP02 and the numerical tools described and configured in WP03, subject to the constraints......for the final purpose of facilitating i.the use of the common set of methods across case studies; and ii. the comparative analysis across case studies. WORK PACKAGE: 04

3. Main Tasks: Compilation, analysis, and processing of socio-economic data, which are defined and detailed in WP02;Compilation, analysis, and processing of socio-economic data, which are defined and detailed in WP02; Compilation, analysis, and processing of physiographic and hydrological data identified in WP03; Compilation, analysis, and processing of physiographic and hydrological data identified in WP03; Building of a consistent database across case studies, which cover all socioeconomic and modeling data; Building of a consistent database across case studies, which cover all socioeconomic and modeling data; Comparative analysis of the data on case studies with respect to their availability, completeness, consistency and plausibility; Comparative analysis of the data on case studies with respect to their availability, completeness, consistency and plausibility; Preparation of the data report. Preparation of the data report. WORK PACKAGE: 04

4. Further Tasks to be performed: All case study partners will prepare their own Data Compilation and Analysis Report. Having all reports forwarded to SUMER, the final “Data Compilation and Analysis Report” summary report will be prepared by SUMER as a deliverable. At the end of WP04, a comprehensive database of SMART test cases will have been constructed, and this will enable the comparison of all case studies in view of data availability, consistency and quality. Furthermore, this database will feed the analytical tools, Telemac and WaterWare. The scenario-based conditions will also be held in the database for each case study area. WORK PACKAGE: 04

5. A sound database provides in general; Reliable information storage that allows retrieval at a later date Up-to-date information, which requires well-defined functions for updating the Information Analytical functions that allow, amongst others, to pose what-if questions, to run simulations, to assess alternative scenarios etc. Formal database design is composed of certain steps as follows: Requirements Analysis what data are to be stored in the database, what applications must be built on top of it, and what operations are the most frequent and subject to performance requirements. Conceptual Design the formation of the Entity-Relationship (ER) Model, which is a popular high-level conceptual data model. Logical Design the actual implementation of the database, using a commercial Database Management System (DBMS). Physical Design internal storage structures (tabular structures) and file organisations for the database are specified. NEED FOR A DATABASE IN SMART

6. CONCEPTUAL DESIGN OF THE DATABASE FOR SOCIO-ECONOMIC DATA

7. CONCEPTUAL DESIGN OF THE DATABASE FOR MODELING DATA

8. LOGICAL DESIGN OF THE DATABASE FOR SOCIO-ECONOMIC DATA Relational Schema CASE_COUNTRY (CName, C_Code) REGION (RName, R_Code) MUNICIPALITY (MName, M_Code, R_Code) REG_POP (Year, Value, Pop_Char, R_Code) MUN_POP (Year, Value, Pop_Char, M_Code) IND_LOOKUP (Ind_Code, Ind_Name, Unit) NAT_IND (Ind_Code, Value, C_Code) REG_IND (Ind_Code, Value, R_Code) MUN_IND (Ind_Code, Value, M_Code) NAT_IND_DTL (Ind_Code, Class, Value, C_Code) REG_IND_DTL (Ind_Code, Class, Value, R_Code)

9. LOGICAL DESIGN OF THE DATABASE FOR SOCIO-ECONOMIC DATA

10. LOGICAL DESIGN OF THE DATABASE FOR SOCIO-ECONOMIC DATA AREA-SCALED ENTITIES

11. LOGICAL DESIGN OF THE DATABASE FOR SOCIO-ECONOMIC DATA DEMOGRAPHIC ENTITIES

12. LOGICAL DESIGN OF THE DATABASE FOR SOCIO-ECONOMIC DATA INDICATOR DATA

13. LOGICAL DESIGN OF THE DATABASE FOR SOCIO-ECONOMIC DATA INDICATOR SUBCLASSES DATA

14. LOGICAL DESIGN OF THE DATABASE FOR MODELING DATA Relational Schema RBO_LOOKUP (A_Code, A_Name, Class_Code, Explanation) RBO_TYPE (Class_Name, Class_Code) RBO_DATA (RBO_ID, A_Code, Value) RBO (RBO_ID, RBO_Type, RBO_Name, R_Code) PRECIPITATION (Year, Month, Day, Value, RBO_ID) STREAMFLOW (Year, Month, Day, Value, RBO_ID) AIR_TEMP (Year, Month, Day, Value, RBO_ID) LUSE_DATA (Percent_Value, LUse_Type, RBO_ID) SOIL_TYPE (Soil_Type) SOIL_DATA (Soil_Type, RBO_ID) HYPSO_CURVE (Elevation, Area, RBO_ID) RNO (RNO_ID, From_Node, To_Node, Length, Slope, Roughness, #_of_XS, R_Code) XS_DATA (XS_ID, Ref_X, Ref_Y, Ref_Z, RNO_ID)

15. LOGICAL DESIGN OF THE DATABASE FOR MODELING DATA

16. LOGICAL DESIGN OF THE DATABASE FOR MODELING DATA RIVER BASIN OBJECT GROUP DATA

17. LOGICAL DESIGN OF THE DATABASE FOR MODELING DATA TIME SERIES DATA

18. LOGICAL DESIGN OF THE DATABASE FOR MODELING DATA ADDITIONAL DATA

19. LOGICAL DESIGN OF THE DATABASE FOR MODELING DATA RIVER NETWORK OBJECT GROUP

20. JUST AS AN EXAMPLE... Subcatchment 1Subcatchment 2 Buldan ReservoirAfsar Reservoir Sarıgol Irrigation Alasehir IrrigationBuldan Weir Confluence Node 1 Diversion Confluence Node 2 Confluence Node 3

21. JUST AS AN EXAMPLE... Sarıgol Irrigation Subcatch. 1Subcatch. 2 Buldan Reservoir Afsar Reservoir Alasehir Irrigation Buldan Weir Confluence Node 1 Diversion Confluence Node 2 Confluence Node 3

22. INFORMATION EXTRACTION FROM THE DATABASE If we want to get industrial water consumption per capita for all case-study regions... And the result is...

23. IND_CODEINDICATOR NAME TURKEYTUNISIAJORDANLEBANONEGYPT D6Life Expectancy at Birth E1Growth of G.D.P. E2Activity Rate E3Agricultural Income Distr. by the Main Types of Production E4Industrial Income Distr. by the Main Types of Production E5Percentage of Tertiary Employment E6Tourism Income Contribution to the Reg. Product P1Water Price for the Domestic Use P2Water Price for the Agriculture Use P3Water Price for the Industry P4Water Price for the Tourism Units P5Water Treatment Investments P6Reservoir Storage Investments P7Water Distribution and Use Systems Investments W1Water Consumption per capita W2Domestic Water Consumption per capita W3Commercial Water Consumption per capita W4Agricultural Water Consumption per capita W5Industrial Water Consumption per capita W6Total Water Consumption DATA AVAILABILITY (national level)

24. DATA AVAILABILITY (regional level) IND_CODEINDICATOR NAME TURKEYTUNISIAJORDANLEBANONEGYPT D1Population Growth Rate D2Migratory Rate D3Population Density D4Crude Death Rate D5Crude Birth Date D6Life Expectancy at Birth E1Growth of G.D.P. E2Activity Rate E3Agri. Income Distr. by the Main Types of Produc. E4Inds. Income Distr. by the Main Types of Produc. E5Percentage of Tertiary Employment E6Tourism Income Contribution to the Reg. Product P1Water Price for the Domestic Use P2Water Price for the Agriculture Use P3Water Price for the Industry P4Water Price for the Tourism Units P5Water Treatment Investments P6Reservoir Storage Investments P7Water Distribution and Use Systems Investments W1Water Consumption per capita W2Domestic Water Consumption per capita W3Commercial Water Consumption per capita W4Agricultural Water Consumption per capita W5Industrial Water Consumption per capita W6Total Water Consumption

25. IND_CODEINDICATOR NAME TURKEYTUNISIAJORDANLEBANONEGYPT D1Population Growth Rate D3Population Density DATA AVAILABILITY (municipal level)...some data from Lebanon and Tunisia on other indicators...(?)

26. Thank You…