 |
| Titel |
Modelling the effect of fire frequency on runoff and erosion in north-central Portugal using the revised Morgan-Morgan-Finney |
| VerfasserIn |
Mohammadreza Hosseini, João Pedro Nunes, Oscar González Pelayo, Jan Jacob Keizer, Coen Ritsema, Violette Geissen |
| Konferenz |
EGU General Assembly 2017
|
| Medientyp |
Artikel
|
| Sprache |
en
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250142834
|
| Publikation (Nr.) |
 EGU/EGU2017-6499.pdf |
|
|
|
|
|
| Zusammenfassung |
| Models can be valuable for foreseeing the hydrological effects of fires and to plan and
execute post-fire management alternatives. In this study, the revised Morgan–Morgan–Finney
(MMF) model was utilized to simulate runoff and soil erosion in recently burned maritime
pine plantations with different fire regimes, in a wet Mediterranean area of north-central
Portugal. The MMF model was adjusted for burned zones in order to accommodate seasonal
patterns in runoff and soil erosion, attributed to changes in soil water repellency and
vegetation recovery. The model was then assessed by applying it for a sum of 18
experimental micro-plots (0.25 m2) at 9 1x-burnt and 9 4x-burnt slopes, using both
literature-based and calibrated parameters, with the collected data used to assess the
robustness of each parameterization. The estimate of erosion was more exact than that of
runoff, with a general Nash-Sutcliffe efficiency of 0.54. Slope angle and the soil’s effective
hydrological depth (which relies on upon vegetation and additionally crop cover) were found
to be the primary parameters enhancing model results, and different hydrological
depths were expected to separate between the two differentiating fire regimes. This
relative analysis demonstrated that most existing benchmark parameters can be
utilized to apply MMF in burnt pine regions with moderate severity to support
post-fire management; however it also showed that further endeavours ought to
concentrate on mapping soil depth and vegetation cover to enhance these simulations. |
|
|
|
|
|
|