rainwater: rainwater Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

rainwater Bayesian Network

Description

Short-term instead of long-term rainfall time series in rainwater harvesting simulation in houses: An assessment using Bayesian Network.

Format

A discrete Bayesian network to predict if a given short-term time series leads to results similar to those obtained using a long-term time series. Probabilities were given within the referenced paper. The vertices are:

Representativeness

(Yes, No);

SeriesLength

(One Year, Two Year, Three Year, Four Year, Five Year, Six Year, Seven Year, Eigth Year, Nine Year, Ten Year, Fifteen Year, Twenty Year);

SeasonalityIndex

(High, Medium, Low);

RainwaterDemand

(Demand 20, Demand 30, Demand 40, Demand 50);

AverageAnnualRainfall

(High, Medium, Low);

AverageNumberOfDryDaysPerYear

(High, Medium, Low);

Value

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

References

Geraldi, M. S., & Ghisi, E. (2019). Short-term instead of long-term rainfall time series in rainwater harvesting simulation in houses: An assessment using Bayesian Network. Resources, Conservation and Recycling, 144, 1-12.

bnRep documentation built on April 12, 2025, 1:13 a.m.