Robust Decision Making (RDM) - GFDRR

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Factors Considered in HCMC’s Own Few-Scenario Analysis X: Exogenous uncertainties L: Policy levers • Extreme precipitation (X mm/3 hrs) • Mean sea level • System described in 2001 JICA Master Plan R: Relationships M: Measures of merit • SWMM Model • ArcGIS for calculating RI and DI • RI: Risk exposure (population/housing) • DI: Damage exposure (economic) 18
Factors Potentially Considered in Our Analysis X: Exogenous uncertainties L: Policy levers • Extreme precipitation (X mm/3 hrs) • Mean sea level • Subsidence rate • Infrastructure performance • Delays in implementing flood control plans • Rate and patterns of economic and population growth • Effectiveness of policies • Costs of implementing policies • System described in 2001 JICA Master Plan • Adaptation options include: • Elevating buildings • Small scale pumps • Public awareness • Retreat options include: • Restrictions/appropriate land use • Adaptive decision strategies • Signposts • Responses R: Relationships M: Measures of merit • SWMM Model • ArcGIS for calculating RI and DI • RI: Risk exposure (population/housing) • DI: Damage exposure (economic) 19
Page 1 and 2: Robust Decision Making Robert Lempe
Page 3 and 4: Traditional Planning Methods Often
Page 5 and 6: Robust Decision Making (RDM) Helps
Page 7 and 8: How Can Non-Structural Policies Hel
Page 9 and 10: Difficult-to-Characterize Long-Term
Page 11 and 12: Use Database to Identify Two Best N
Page 13 and 14: Under What Conditions Does the Elev
Page 15 and 16: Ho Chi Minh City Developing an Inte
Page 17: “XLRM” Framework Structures Ana
Page 21 and 22: Project Will Follow RDM Process Oct
Page 23 and 24: More Information Bryant, B. P., and

Robust Decision Making (RDM) - GFDRR

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