Testing simple approaches to map sediment mobilisation hotspots after wildfires

Detalhes bibliográficos
Autor(a) principal: Parente, Joana
Data de Publicação: 2023
Outros Autores: Nunes, João Pedro, Baartman, Jantiene, Föllmi, Dante
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/57340
Resumo: Background. The models currently used to predict post-fire soil erosion risks are limited by high data demands and long computation times. An alternative is to map the potential hydrological and sediment connectivity using indices to express the general properties of the burnt landscape. Aims. In this study, we aimed to answer the question: Do these tools identify post-fire sediment mobilisation hotspots? Methods. To achieve this, we assessed the spatial variability distribution of the location of soil erosion hotspots using the Index of Connectivity, Revised Universal Soil Loss Equation and the Sediment Export, and compared it with the simulation results of a more complex Landscape Evolution Model (LAPSUS model). Additionally, we evaluated statistical measures of association between the four tools. Key results. The three tools tested in this study are suitable for identifying sediment mobilisation hotspots, where the erosion rates are above the 95th percentile, and differences between their performance are small. Conclusions. The results indicate that these tools help locate extreme erosion locations in recently burnt areas. Implications. These results can be considered for post-fire and water contamination risk management, especially for fast prioritisation of areas needing emergency post-fire intervention
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spelling Testing simple approaches to map sediment mobilisation hotspots after wildfiresBackground. The models currently used to predict post-fire soil erosion risks are limited by high data demands and long computation times. An alternative is to map the potential hydrological and sediment connectivity using indices to express the general properties of the burnt landscape. Aims. In this study, we aimed to answer the question: Do these tools identify post-fire sediment mobilisation hotspots? Methods. To achieve this, we assessed the spatial variability distribution of the location of soil erosion hotspots using the Index of Connectivity, Revised Universal Soil Loss Equation and the Sediment Export, and compared it with the simulation results of a more complex Landscape Evolution Model (LAPSUS model). Additionally, we evaluated statistical measures of association between the four tools. Key results. The three tools tested in this study are suitable for identifying sediment mobilisation hotspots, where the erosion rates are above the 95th percentile, and differences between their performance are small. Conclusions. The results indicate that these tools help locate extreme erosion locations in recently burnt areas. Implications. These results can be considered for post-fire and water contamination risk management, especially for fast prioritisation of areas needing emergency post-fire interventionCSIRO PUBLISHINGRepositório da Universidade de LisboaParente, JoanaNunes, João PedroBaartman, JantieneFöllmi, Dante2023-05-03T16:54:14Z2023-042023-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/57340eng10.1071/WF22145info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T17:05:31Zoai:repositorio.ul.pt:10451/57340Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:07:45.844433Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Testing simple approaches to map sediment mobilisation hotspots after wildfires
title Testing simple approaches to map sediment mobilisation hotspots after wildfires
spellingShingle Testing simple approaches to map sediment mobilisation hotspots after wildfires
Parente, Joana
title_short Testing simple approaches to map sediment mobilisation hotspots after wildfires
title_full Testing simple approaches to map sediment mobilisation hotspots after wildfires
title_fullStr Testing simple approaches to map sediment mobilisation hotspots after wildfires
title_full_unstemmed Testing simple approaches to map sediment mobilisation hotspots after wildfires
title_sort Testing simple approaches to map sediment mobilisation hotspots after wildfires
author Parente, Joana
author_facet Parente, Joana
Nunes, João Pedro
Baartman, Jantiene
Föllmi, Dante
author_role author
author2 Nunes, João Pedro
Baartman, Jantiene
Föllmi, Dante
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Parente, Joana
Nunes, João Pedro
Baartman, Jantiene
Föllmi, Dante
description Background. The models currently used to predict post-fire soil erosion risks are limited by high data demands and long computation times. An alternative is to map the potential hydrological and sediment connectivity using indices to express the general properties of the burnt landscape. Aims. In this study, we aimed to answer the question: Do these tools identify post-fire sediment mobilisation hotspots? Methods. To achieve this, we assessed the spatial variability distribution of the location of soil erosion hotspots using the Index of Connectivity, Revised Universal Soil Loss Equation and the Sediment Export, and compared it with the simulation results of a more complex Landscape Evolution Model (LAPSUS model). Additionally, we evaluated statistical measures of association between the four tools. Key results. The three tools tested in this study are suitable for identifying sediment mobilisation hotspots, where the erosion rates are above the 95th percentile, and differences between their performance are small. Conclusions. The results indicate that these tools help locate extreme erosion locations in recently burnt areas. Implications. These results can be considered for post-fire and water contamination risk management, especially for fast prioritisation of areas needing emergency post-fire intervention
publishDate 2023
dc.date.none.fl_str_mv 2023-05-03T16:54:14Z
2023-04
2023-04-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/57340
url http://hdl.handle.net/10451/57340
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1071/WF22145
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dc.publisher.none.fl_str_mv CSIRO PUBLISHING
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