bnRep (version 0.0.3)

charleston: charleston Bayesian Network

Description

Parameterization framework and quantification approach for integrated risk and resilience assessments.

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

Format

A discrete Bayesian network for risk and resilience assessment of climate change impacts within the Charleston Harbor Watershed of South Carolina (Region 3). The probabilities were given within the referenced paper. The vertices are:

AbilityToEvacuate

(Zero, Low, Medium, High);

ActiveHurricane

(No, Yes);

DrowningMortality

(Zero, Low, Medium, High);

EvacuationRequired

(Zero, Low, Medium, High);

ExtremePrecipitation

(Zero, Low, Medium, High);

ExtremePrecipitationNonHurricane

(Zero, Low, Medium, High);

FloodExposure

(Zero, Low, Medium, High);

FloodHazard

(Zero, Low, Medium, High);

FloodPreparedness

(No, Yes);

HurricaneCategory

(Zero, Low, Medium, High);

NuisanceFloodExposure

(Zero, Low, Medium, High);

NuisanceFloodFrequency

(Zero, Low, Medium, High);

NuisanceFloodHazard

(Zero, Low, Medium, High);

PersonalVehicle

(No, Yes);

PhysicalFloodProtection

(No, Yes);

PopulationLocation

(Zero, Low, Medium, High);

RegionWithCoastline

(No, Yes);

RiskToHumanHealth

(Zero, Low, Medium, High);

RoadwayAccessibility

(Zero, Low, Medium, High);

RoadwayLocation

(Zero, Low, Medium, High);

SeaLevelRise

(Zero, Low, Medium, High);

StormSurge

(Zero, Low, Medium, High);

StormSurgeProtection

(No, Yes);

TideLevelAboveHighTide

(Zero, Low, Medium, High);

References

Cains, M. G., & Henshel, D. (2021). Parameterization framework and quantification approach for integrated risk and resilience assessments. Integrated Environmental Assessment and Management, 17(1), 131-146.