SMART Sustainable Management of Scarce Resources in the Coastal Zone WP04: DATA COMPILATION AND ANALYSIS 13–15 June 2003 Beirut, LEBANON DOKUZ EYLUL UNIVERSITY.

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SMART Sustainable Management of Scarce Resources in the Coastal Zone WP04: DATA COMPILATION AND ANALYSIS 13–15 June 2003 Beirut, LEBANON DOKUZ EYLUL UNIVERSITY WATER RESOURCES RESEARCH CENTER Faculty of Engineering, Tınaztepe Campus, Buca, Izmir, Turkey

SMART WP 04: Data compilation and analysis Objectives The main objective is to compile and process the data required for the individual case study applications of the methods defined in WP 02 and the numerical tools described and configured in WP 03, subject to the constraints analyzed in WP 01. A high degree of standardization in terms of the data and indicators to be used (in part defined by the model data requirements, see WP 03) as well as the meta data to be used in their description will be attempted to facilitate: the use of the common set of methods across case studies; the comparative analysis across case studies. Start:06th month End:27th month coordinated by SUMER

SMART WP02 Socio-Economic Data Types and Analysis Methods WP03 Analytical Tools Data Types and Analysis Methods WP04 Tasks 1.Socio-Economic Data Compilation 2.Physiographic-Hydrologic Data Compilation 3.Database Construction 4.Comparative Analysis 5.Data Report QUESTION 1: Additional and/or Special Data Types for WP04 ? UNDERSTANDING......

SMART Task 1: Compilation, analysis, and processing of socio- economic data: Our understanding: Institutional Setting and Key Actors should define the relationship between institutions, key actors and define the exact roles (functions) of the key actors on water issues: 1.1 Institutional setting, key actors: WP02 should exactly define that what kind of data will be collected and how they will be analyzed. Role-1 Role-2 Role-N Actor-1 Actor-2 Actor-N QUESTION 2: Have we classified the roles (functions) of actors and the relationships between actors?

SMART Task 1: Compilation, analysis, and processing of socio-economic data: Roles and responsibilities of Actors For each activity, the organization or person will have a role to play. Descriptors of roles are: Executive (full responsibility for execution of the activity) Supervisory (needs to be informed of decisions made) Consulted (needs to be consulted before decisions are made) Regulatory (has power to over-rule executive decisions) Advisory (can advise on course of action) Interested Party/Affected (influenced by the action-may be above or below the decision maker) Committee (involved in executive, regulatory, advisory or other role as part of a committee). Can apply to an organization or an individual. EXAMPLE ANALYSIS Organizational/individual action For each activity, the organization or individual will carry out some action. Descriptors of actions are: -Identify-Plan-Construct-Implement -Monitor-Evaluate-Authorize-Record

SMART LevelTask GovernanceWater allocationWater distributionWater quality protection and salinity management Government  Legislate Delegate  Legislate Government agency  Apply  Enforce  Regulate  Monitor  Enforce  Prosecute  Regulate  Regulate  Monitor  Enforce  Prosecute Irrigation Association  Use  ??  Responsible  Regulate  Fine Farmer  Comply  Apply  Steal  Pay fines  Create   Using “action verbs” to describe and delineate tasks Task 1: Compilation, analysis, and processing of socio-economic data:

SMART Task 1: Compilation, analysis, and processing of socio-economic data: Our understanding: Regulatory framework should define the laws that govern the functions of actors and laws that govern how various actions within water management are to be performed (i.e., water allocation, water pricing, water rights, pollution control, etc.) 1.2 Regulatory framework: WP02 should exactly define that what kind of data will be collected and how they will be analyzed. QUESTION 3: Do we have classified laws which define the responsibilities and functions of specific actors? Role-1 Role-2 Role-N Actor-1 Actor-2 Actor-N Law-1 Law-2 Law-N

SMART Elements of Water LawCase1Case2Case3Turkey Creates water authority Stipulates who has rights to water Stipulates that stakeholders are to be involved Details pollution control regulations Outlines roles and responsibilities of different organizations/stakeholders Provides for regulation of water allocation Stipulates principles and mechanism for water charges  Task 1: Compilation, analysis, and processing of socio-economic data: Matrix for analysis and comparison of water law elements 

SMART Task 1: Compilation, analysis, and processing of socio-economic data: Our understanding: Economic and development indicators should define the economic situation related to both the water issues and the general issues at national/regional level. These indicators will be used to compare the case studies. 1.3 Basic economic and development indicators: WP02 should exactly define that what kind of data will be collected and how they will be analyzed. QUESTION 4: Have we defined and classified common (globally accepted) indicators? Economic Indicators Development Indicators Data Analyses

SMART Task 1: Compilation, analysis, and processing of socio-economic data: Our understanding: Policy Framework and development plans/strategies should define how a decision is made. How do we go from scenarios to decisions?. How are the objectives of management determined? What are the criteria? 1.4 Policy framework and development plans/strategies WP02 should exactly define what kind of data will be collected and how they will be analyzed. QUESTION 5: Did we define “integrated management approach, problem based approach,..,coastal zone management etc.”? Are the objectives and criteria clear and applicable? Objective-N Objective-2 Objective-1Actor-1 Actor-2 Actor-N Decision/SupplyScenario/Demand

SMART Task 2: Compilation, analysis, and processing of physiographic and hydrological background data: WP03 should exactly define that what kind of data will be collected and how they will be analyzed. Our understanding: All elements should be defined in a GIS-based framework and all items clearly defined and classified according to Waterware and Telemac requirements. How many classes will be used? What are the classes? What are the class properties? QUESTION 6: More clear data class and properties? WATERWARE TELEMAC Raw Data Land Use Soil Map DEM Population Infrastructure River Flow ForestLoam QualityDam Rainfal l Wind Main Classess Sub-Classess and Properties DataTools

SMART Task 3: Building of a consistent database across case studies Our understanding: According to the data described in Tasks 1 and 2, there will be 2 main databases. One is for socio-economic data and this will be linked to socio economic analyses. The second is for the physiographic and hydrologic data and will be linked to the analytical tools (Waterware and Telemac). Meta Data will be based on data properties obtained through Task 1 and Task 2. Tabular based Socio- Economic DataBase Data from Task1 GIS based Physiographic and Hydrological DataBase Data from Task2 Socio- Economic Analyses WaterWare & Telemac WP03

SMART Task 4: Comparative analysis of the data Our understanding: All data will be compared across case studies by using common classes and indicators QUESTION 7: What indicators should we define for Comparative Analysis in WP10? The data to be compiled will eventually be used for definition of indicators. So, should we select them NOW? Proposals for Indicator Development:World Bank System? DPSIR (EEA)? UNEP? UNECE ? Task 5: Preparation of the Data Report Our understanding: All case study partners will prepare their own Data Compilation and Analysis Report. Having all reports forwarded to us, the “Data Compilation and Analysis Report” summary report will be prepared.

SMART Deliverables and Milestones D04.1: Data Compilation and Analysis report (Summary) D04.2: Data Compilation and Analysis report (Turkey) D04.3: Data Compilation and Analysis report (Lebanon) D04.4: Data Compilation and Analysis report (Egypt) D04.5: Data Compilation and Analysis report (Jordan) D04.6: Data Compilation and Analysis report (Tunisia) WP04 TIME TABLE Task-1 Task-2 Task-3 Task-4 Task-5 CASE STUDY PARTNERS TIME TABLE Month Data Collection Loading to Database Data Comparison Data Comp. Report Month TIME TABLE

SMART URGENT NEEDS OF WP04 1.exact definitions of data types from WP02 and WP03 2.checklist of all data compiled so far for each case study 3.a schematized description of the case study area showing major nodes, coastal zones, etc.