slide1 n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Hydro-Economic decision support to enhance catchment management PowerPoint Presentation
Download Presentation
Hydro-Economic decision support to enhance catchment management

Loading in 2 Seconds...

play fullscreen
1 / 24

Hydro-Economic decision support to enhance catchment management - PowerPoint PPT Presentation


  • 80 Views
  • Uploaded on

Hydro-Economic decision support to enhance catchment management. Bennie Grové Department of Agricultural Economics. Introduction. South Africa is a water scarce country National Water Act (1998) Ecological Water Requirements (EWR) National Water Resources Strategy

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

Hydro-Economic decision support to enhance catchment management


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1

Hydro-Economic decision support

to enhance catchment management

Bennie Grové

Department of Agricultural Economics

introduction
Introduction
  • South Africa is a water scarce country
  • National Water Act (1998)
    • Ecological Water Requirements (EWR)
  • National Water Resources Strategy
    • a number of the South African catchments to be in situation of being over-allocated
  • Before issuing water licenses to address imbalances, water managers have to reconsider
    • catchment scale operating rules,
    • water conservation and demand management options,
    • water augmentations alternatives and
    • the level and necessity of water curtailments

to determine the most viable option.

objectives
Objectives
  • The main objective of this research is to develop a Decision Support System (DSS) to help water managers test various catchment scale water management scenarios impact on irrigation farming profitability and livelihoods.
  • Achieving the object requires an integrated hydro-economic modelling framework.
research area
Research area
  • Crocodile East catchment South Africa
    • Highly over-allocated
    • Instream flow requirement
      • Ecology
      • International flows to Mozambique
  • Water needs to be re-allocated
over allocation in south africa
Over allocation in South Africa

Crocodile

Catchment is in

The Nkomati WMA

integrated set of models
Integrated set of models
  • MIKE-BASIN
    • reconcile irrigation water demand with catchment water availability
      • for given catchment operating rules
    • Daily input requirements
      • Catchment hydrology
      • Water demand
  • Optimisation model
    • Maximises total farm gross margins
    • Water availability
      • Operating rules
    • Dated production functions (water use optimisation)
      • Weekly
      • State contingent
      • Irrigation technology specific (Distribution unifromity)
      • Multiple fields
    • Results are used to evaluate
      • Profitability (REO)
      • Livelihood (ability to generate cashflows)
  • MIKE BASIN Irrigation
    • Information to generate irrigation technology specific dated production functions (daily)
slide9

MIKE BASIN IrrigationModel

Daily Irrigation Outputs

(ET, ES, EOP, DP, RO, AI)

Weekly Irrigation inputs to SKELETON

(ET, ES, EOP, DP, RO, AI)

Weekly water available limit

Optimsation Model

Catchment water availability and water available to the farm from all sources

Optimised Weekly Farm Demand Profile

MIKE BASIN without the irrigation model, Demand node representing farm

Disaggregate to Daily Farm Demand Profile

results
REsults
  • Profitability
    • ROE > ROA
      • Financial sustainability
      • Indicates profitable employment of foreign capital
      • Do not need to use own capital to meet interest payments
      • Reported as probability to achieve financial sustainability
  • Livelihood objective
    • Determine whether enough cash is generated to cover living expenses
slide12

65% : ROE >= 7.66%

6% : 0 <= ROE < 7.66%

slide13

65% : ROE >= 7.66%

6% : 0 <= ROE < 7.66%

conclusions
Conclusions
  • MVD greatest potential
    • Cost of dam not included
  • Class C is a no go scenario
  • Investigate enforcing EWR based on present flow regime
  • Stimulate dialogue
slide24

THANK YOU

Bennie Grové

Department of Agricultural Economics