Variance-based sensitivity analysis of a wind risk model - Model behaviour and lessons for forest modelling
| hal.structure.identifier | School of GeoSciences | |
| hal.structure.identifier | Interactions Sol Plante Atmosphère [UMR ISPA] | |
| dc.contributor.author | LOCATELLI, Tommaso | |
| hal.structure.identifier | Joint Research Centre | |
| dc.contributor.author | TARANTOLA, Stefano | |
| hal.structure.identifier | Interactions Sol Plante Atmosphère [UMR ISPA] | |
| dc.contributor.author | GARDINER, Barry | |
| hal.structure.identifier | School of GeoSciences | |
| dc.contributor.author | PATENAUDE, Genevieve | |
| dc.date.accessioned | 2024-04-08T12:11:12Z | |
| dc.date.available | 2024-04-08T12:11:12Z | |
| dc.date.issued | 2017 | |
| dc.identifier.issn | 1364-8152 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/196679 | |
| dc.description.abstractEn | We submitted the semi-empirical, process-based wind-risk model ForestGALES to a variance-based sensitivity analysis using the method of Soboĺ for correlated variables proposed by Kucherenko et al. (2012). Our results show that ForestGALES is able to simulate very effectively the dynamics of wind damage to forest stands, as the model architecture reflects the significant influence of tree height, stocking density, dbh, and size of an upwind gap, on the calculations of the critical wind speeds of damage. These results highlight the importance of accurate knowledge of the values of these variables when calculating the risk of wind damage with ForestGALES. Conversely, rooting depth and soil type, i.e. the model input variables on which the empirical component of ForestGALES that describes the resistance to overturning is based, contribute only marginally to the variation in the outputs. We show that these two variables can confidently be fixed at a nominal value without significantly affecting the model's predictions. The variance-based method used in this study is equally sensitive to the accurate description of the probability distribution functions of the scrutinised variables, as it is to their correlation structure. | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.subject | dégât dû au vent | |
| dc.subject | dégât en forêt | |
| dc.subject | modèle | |
| dc.subject.en | method of Soboĺ | |
| dc.subject.en | assessment of model performance | |
| dc.subject.en | Copula method | |
| dc.subject.en | correlated variables | |
| dc.subject.en | wind damage | |
| dc.subject.en | numerical models | |
| dc.title.en | Variance-based sensitivity analysis of a wind risk model - Model behaviour and lessons for forest modelling | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1016/j.envsoft.2016.10.010 | |
| dc.subject.hal | Sciences du Vivant [q-bio] | |
| bordeaux.journal | Environmental Modelling and Software | |
| bordeaux.page | 84-109 | |
| bordeaux.volume | 87 | |
| bordeaux.hal.laboratories | Interactions Soil Plant Atmosphere (ISPA) - UMR 1391 | * |
| bordeaux.institution | Bordeaux Sciences Agro | |
| bordeaux.institution | INRAE | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01531776 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Non spécifiée | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01531776v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Environmental%20Modelling%20and%20Software&rft.date=2017&rft.volume=87&rft.spage=84-109&rft.epage=84-109&rft.eissn=1364-8152&rft.issn=1364-8152&rft.au=LOCATELLI,%20Tommaso&TARANTOLA,%20Stefano&GARDINER,%20Barry&PATENAUDE,%20Genevieve&rft.genre=article |
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