Testing existing models for predicting hourly variation in fine fuel moisture in eucalypt forests

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BushfireTopic: 
Fire Behaviour
Fuel Management
Project Reference: 
Landscape moisture modelling
TitleTesting existing models for predicting hourly variation in fine fuel moisture in eucalypt forests
Publication TypeJournal Article
Year of Publication2013
AuthorsSlijepcevic, A, Anderson, WR, Matthews, S
JournalForest Ecology and Management
Volume306
Start Page202
Pagination202-215
Date Published10/2013
KeywordsBookkeeping model, Eucalyptus forest, Fine fuel moisture, Process-based model
AbstractSeveral days of hourly fuel moisture sampling were carried out in Southern Tasmania in dry and damp eucalyptus forest to test fuel moisture prediction models used in Australia, and to provide information on equilibrium moisture content and response time for use in more complex models. Moisture contents of near surface, surface, profile litter and bark fuels were measured, along with standard weather variables. On one set of four consecutive days fuel temperatures were also measured with thermocouples. One of the simple empirical fuel moisture prediction models worked well on the litter fuels for which it was intended, but another of the simple models in common use, predicted poorly, particularly on the damp site. One of the simple models was modified, and gave acceptable predictions for profile litter. Another simple model was calibrated to give good predictions for near surface, bark and litter fuels in the middle of the day. A more physically-based ‘bookkeeping’ model for estimating response time and EMC worked very well on all strata but the litter profile. Response times of all fuel strata were of the order of 1 h. A process based model worked slightly better than the EMC estimation model for near surface, litter and bark fuel and considerably better for profile litter, especially on the damp site. On the whole these models performed better than the simple empirical models, but they were tuned to various degrees by site information.
URLhttp://www.sciencedirect.com/science/article/pii/S0378112713004015
DOI10.1016/j.foreco.2013.06.033