Detalhes do Documento

Runoff at the micro-plot and slope scale following wildfire, central Portugal

Autor(es): Vieira, D. cv logo 1 ; Keizer, J. cv logo 2 ; Nunes, J. cv logo 3 ; Fernandes, I. cv logo 4 ; Faria S. cv logo 5 ; Ferreira, R. cv logo 6 ; Pedrosa, E. cv logo 7 ; Varela, M. cv logo 8 ; Pereira, L. cv logo 9

Data: 2010

Identificador Persistente: http://hdl.handle.net/10773/9236

Origem: RIA - Repositório Institucional da Universidade de Aveiro

Assunto(s): Runoff; Wildfire


Descrição
Through their effects on soil properties and vegetation/litter cover, wildfires can strongly enhance overland flow generation and accelerate soil erosion [1] and, thereby, negatively affect land-use sustainability as well as downstream aquatic and flood zones. Wildfires are a common phenomenon in present-day Portugal, devastating in an average year some 100.000 ha of forest and woodlands and in an exceptional year like 2003 over 400.000 ha. There therefore exists a clear need in Portugal for a tool that can provide guidance to post-fire land management by predicting soil erosion risk, on the one hand, and, on the other, the mitigation effectiveness of soil conservation measures. Such a tool has recently been developed for the Western U.S.A. [3: ERMiT] but its suitability for Portuguese forests will need to be corroborated by field observations. Testing the suitability of existing erosion models in recently burned forest areas in Portugal is, in a nutshell, the aim of the EROSFIRE projects. In the first EROSFIRE project the emphasis was on the prediction of erosion at the scale of individual hill slopes. In the ongoing EROSFIRE-II project the spatial scope is extended to include the catchment scale, so that also the connectivity between hill slopes as well as channel and road processes are being addressed. Besides ERMiT, the principal models under evaluation for slope-scale erosion prediction are: (i) the variant of USLE [4] applied by the Portuguese Water Institute after the wildfires of 2003; (ii) the Morgan–Morgan–Finney model (MMF) [5]; (iii) MEFIDIS [6]. From these models, MEFIDIS and perhaps MMF will, after successful calibration at the slope scale, also be applied for predicting catchment-scale sediment yields of extreme events.
Tipo de Documento Documento de conferência
Idioma Inglês
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