Predicting tree damage in fragmented landscapes using a wind risk model coupled with an airflow model
Idioma
en
Article de revue
Este ítem está publicado en
Canadian Journal of Forest Research. 2015, vol. 45, p. 1065-1076
NRC Research Press
Resumen en inglés
Forest mechanistic wind risk models are widely applied on heterogeneous landscapes while their wind load parameterizations are often derived either from homogeneous stand conditions or simple forest edge conditions. To ...Leer más >
Forest mechanistic wind risk models are widely applied on heterogeneous landscapes while their wind load parameterizations are often derived either from homogeneous stand conditions or simple forest edge conditions. To evaluate the impact of improving the wind flow representation of the mechanistic wind risk model HWIND on tree damage predictions when applied on heterogeneous environments, we coupled HWIND with the airflow model Aquilon. Aquilon provides to HWIND the velocity profiles and the gust factor (deduced from an approach based on the probability distribution of the wind velocity and on the turbulent kinetic energy). HWIND-Aquilon is compared to HWIND alone on different stand configurations of Scots pine and Norway spruce, comprising newly clear-cut and shelter stands. Although both models showed the same pattern of differences in edge-tree critical wind speeds (CWS) with differences in clear-cut length and shelter stand height, the model comparison reveals significant differences in magnitude of CWS between them. This discrepancy is explained by the wind velocity and gust factor parameterizations used in HWIND alone, as in other wind risk models, that exhibit weaknesses in heterogeneous configurations. This result confirms the need for improving the wind flow representation in mechanistic wind risk models when applied to heterogeneous landscape.< Leer menos
Palabras clave en inglés
critical wind speed
gust factor
heterogeneous forest
wind load
wind risk model
Orígen
Importado de HalCentros de investigación