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Integrating Biophysical and
Socioeconomic Model Outputs
                  Dr. Randall Ritzema
                         IWMI

 Nile BDC Symposium on Modeling in the Blue Nile Basin
           Addis Ababa, 12 November 2012
Background
• Goal of Nile Basin Development Challenge Project 4 (N4) is to
  assess potential impacts- both biophysical and
  socioeconomic- at the basin scale resulting from
  implementation of Rainwater Management Strategies
• To assess impacts, need to link biophysical and socioeconomic
  processes
• Modeling has proceeded along disciplinary lines, and at
  differing scales:
   –   Hydrologic: SWAT, APEX
   –   Water resource management: WEAP
   –   Economic: ECOSAUT
   –   Crop: CropWat, AquaCrop
   –   Livestock: ILRI livestock water productivity model
• This presentation: initial ideas on model integration
Basin-level BP/SE integration frameworks
   Sectoral Linkage               Explicit Integration




     To link and extrapolate BP and SE processes

         Resource Management Typology
Resource Management Typology
• Delineate population segment which manages BP resources in
  target catchment
• Partition population segment into RM units
   – Assumption: Economic decisions made at HH level
   – Livelihood Profiles suggest different HH production systems w/i
     Livelihood Zones
   – HH’s can therefore be aggregated into RMUs based on BP and SE
     attribute similarities
   – Assumption: Access/benefit/cost is equitably distributed within RMU
• Water/Land “management” mapping- establish BP resource
  flows from/to RMUs
Resource Management
      Typology

•   FEWSNET/LIU
    Livelihood
    Zones/Profiles:
    natural RMU
    definitions
•   Ethiopian Rural
    Economic Atlas:
    population/HH
    distributions
•   Full spatial /
    economic coverage:
    satisfies need for
    extrapolation
Sectoral Linkage Approach: BP-initiated

                                                              BP Tools



   N3 Feasibility
                             SWAT                     AquaCROP
   Mapping

                                                                           HDM via
                                                                            RMUs
                                       Flows                             ( ECOSAUT)
                                       (unimpaired)



Considerations:
•Potential of fragmented                               WEAP
linkages
•Use of MCA to understand
interactions
•Feedbacks?
                                                      Flows               SE Impact
                            Sediment
                                                      (impaired)          Indicators
Sectoral Linkage Approach: SE initiated
                                        Verification of
                                        assumptions?



              Expected yield &
                                                                                                      BP Tools
              water use
              Other econ inputs
                                                                    Apex-
                                                                   verified                  AquaCROP
                                                                    SWAT

RMU               HDM: RMU                                Land                                                     SISM
charac-            (modified           DDM                use to                                                 (modified
terization        ECOSAUT)                                HRU’s               Flows          Irrigation            HDM)
                                                                              (unimpaired)   Demand




                Carry-over water
                availability
                                                                                              WEAP



    Considerations:
    •Use of N3 mapping to constrain RMU
    decision-making                                                                                              SE Impact
                                                                                             Flows
    •One “optimal” decision set per set of imposed                 Sediment
                                                                                             (impaired)          Indicators
    conditions
    •Feedbacks?
Explicit Integration Approach
    N3 Feasibility
    Mapping


                                                              Systems Dynamics integrated model

         Apex-            Flow/sediment response
        verified          module characterization
         SWAT             (subcatchment)



       RMU
       charac-
       terization



                          Crop response / irrigation
      AquaCROP            demand module
                          characterization




Considerations:
•Feedbacks embedded; addresses fragmented linkages
•Potential to assess many scenarios, uncertainty
                                                                                   SE Impact
•Depends upon effective modules                        Sediment        Flows
                                                                                   Indicators

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Integrating biophysical and socioeconomic model outputs

  • 1. Integrating Biophysical and Socioeconomic Model Outputs Dr. Randall Ritzema IWMI Nile BDC Symposium on Modeling in the Blue Nile Basin Addis Ababa, 12 November 2012
  • 2. Background • Goal of Nile Basin Development Challenge Project 4 (N4) is to assess potential impacts- both biophysical and socioeconomic- at the basin scale resulting from implementation of Rainwater Management Strategies • To assess impacts, need to link biophysical and socioeconomic processes • Modeling has proceeded along disciplinary lines, and at differing scales: – Hydrologic: SWAT, APEX – Water resource management: WEAP – Economic: ECOSAUT – Crop: CropWat, AquaCrop – Livestock: ILRI livestock water productivity model • This presentation: initial ideas on model integration
  • 3. Basin-level BP/SE integration frameworks Sectoral Linkage Explicit Integration To link and extrapolate BP and SE processes Resource Management Typology
  • 4. Resource Management Typology • Delineate population segment which manages BP resources in target catchment • Partition population segment into RM units – Assumption: Economic decisions made at HH level – Livelihood Profiles suggest different HH production systems w/i Livelihood Zones – HH’s can therefore be aggregated into RMUs based on BP and SE attribute similarities – Assumption: Access/benefit/cost is equitably distributed within RMU • Water/Land “management” mapping- establish BP resource flows from/to RMUs
  • 5. Resource Management Typology • FEWSNET/LIU Livelihood Zones/Profiles: natural RMU definitions • Ethiopian Rural Economic Atlas: population/HH distributions • Full spatial / economic coverage: satisfies need for extrapolation
  • 6. Sectoral Linkage Approach: BP-initiated BP Tools N3 Feasibility SWAT AquaCROP Mapping HDM via RMUs Flows ( ECOSAUT) (unimpaired) Considerations: •Potential of fragmented WEAP linkages •Use of MCA to understand interactions •Feedbacks? Flows SE Impact Sediment (impaired) Indicators
  • 7. Sectoral Linkage Approach: SE initiated Verification of assumptions? Expected yield & BP Tools water use Other econ inputs Apex- verified AquaCROP SWAT RMU HDM: RMU Land SISM charac- (modified DDM use to (modified terization ECOSAUT) HRU’s Flows Irrigation HDM) (unimpaired) Demand Carry-over water availability WEAP Considerations: •Use of N3 mapping to constrain RMU decision-making SE Impact Flows •One “optimal” decision set per set of imposed Sediment (impaired) Indicators conditions •Feedbacks?
  • 8. Explicit Integration Approach N3 Feasibility Mapping Systems Dynamics integrated model Apex- Flow/sediment response verified module characterization SWAT (subcatchment) RMU charac- terization Crop response / irrigation AquaCROP demand module characterization Considerations: •Feedbacks embedded; addresses fragmented linkages •Potential to assess many scenarios, uncertainty SE Impact •Depends upon effective modules Sediment Flows Indicators