A Multistage Stochastic Program to Optimize Prescribed Burning Locations Using Random Fire Samples

A Multistage Stochastic Program to Optimize Prescribed Burning Locations Using Random Fire Samples

Selecting the optimal locations and timing for prescribed burning is challenging when considering uncertainties in weather, fire behavior, and future fire suppression. In this study, we present a sample average approximation (SAA) based multistage stochastic mixed integer program with recourse to op...

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Bibliographic Details
Main Authors: Dung Nguyen, Yu Wei
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Forests
Subjects:
fire behavior
fuel treatment
fire suppression
wildfire management
spatial optimization
sample average approximation
Online Access:https://www.mdpi.com/1999-4907/13/6/930

Internet

https://www.mdpi.com/1999-4907/13/6/930

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