DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds

Detalhes bibliográficos
Autor(a) principal: Al-Thuwaynee, Omar F.
Data de Publicação: 2023
Outros Autores: Melillo, Massimo, Gariano, Stefano Luigi, Park, Hyuck Jin, Kim, Sang-Wan, Lombardo, Luigi, Hader, Paulo [UNESP], Mohajane, Meriame, Quevedo, Renata Pacheco, Catani, Filippo, Aydda, Ali
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.envsoft.2023.105657
http://hdl.handle.net/11449/246854
Resumo: Several studies on empirical rainfall thresholds for landslide occurrence depend on the measurements of nearest rain gauges to the landslides, without taking in consideration the morphological and hydrological settings of the areas. Therefore, we introduce the DEWS (Distance, Elevation, Watershed, and Slope unit) QGIS software tool, for selecting representative rain gauges, a relevant step in the definition of empirical rainfall threshold models. DEWS set with default parameter values for non-expert users. DEWS employs four filters: Distance, Elevation, Watershed, Slope unit, and requires only three data inputs (digital elevation model, landslides inventory, rain gauge locations). Reliability was tested using 223 landslides and 328 rain gauges with the CTRL-T (Calculation of Thresholds for Rainfall-induced Landslides) tool applied in South Korea. Consequently, the amount of rain gauges used was optimized and reduced by 33% using DEWS from using CTRL-T alone, while the shape of the threshold curve and uncertainty values were maintained.
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spelling DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholdsLandslideLEWSQGISRainfall thresholdSouth KoreaSeveral studies on empirical rainfall thresholds for landslide occurrence depend on the measurements of nearest rain gauges to the landslides, without taking in consideration the morphological and hydrological settings of the areas. Therefore, we introduce the DEWS (Distance, Elevation, Watershed, and Slope unit) QGIS software tool, for selecting representative rain gauges, a relevant step in the definition of empirical rainfall threshold models. DEWS set with default parameter values for non-expert users. DEWS employs four filters: Distance, Elevation, Watershed, Slope unit, and requires only three data inputs (digital elevation model, landslides inventory, rain gauge locations). Reliability was tested using 223 landslides and 328 rain gauges with the CTRL-T (Calculation of Thresholds for Rainfall-induced Landslides) tool applied in South Korea. Consequently, the amount of rain gauges used was optimized and reduced by 33% using DEWS from using CTRL-T alone, while the shape of the threshold curve and uncertainty values were maintained.Indian Institute of Technology, PatnaNational Research Foundation of KoreaMinistry of Science and ICT, South KoreaResearch Institute for Geo-Hydrological Protection IRPI Italian National Research CouncilDepartment of Energy and Mineral Resources Engineering Sejong UniversityDepartment of Earth Systems Analysis (ESA) University of TwenteSchool of Engineering Department of Civil and Environmental Engineering São Paulo State University (UNESP)Construction Technologies Institute ITC Italian National Research Council, Polo Tecnologico di San Giovanni a TeduccioEarth Observation and Geoinformatics Division National Institute for Space Research, São José dos CamposDepartment of Geosciences University of PadovaDepartment of Geology University Ibn Zohr – AgadirSchool of Engineering Department of Civil and Environmental Engineering São Paulo State University (UNESP)Ministry of Science and ICT, South Korea: 2019-0-01561Italian National Research CouncilSejong UniversityUniversity of TwenteUniversidade Estadual Paulista (UNESP)National Institute for Space ResearchUniversity of PadovaUniversity Ibn Zohr – AgadirAl-Thuwaynee, Omar F.Melillo, MassimoGariano, Stefano LuigiPark, Hyuck JinKim, Sang-WanLombardo, LuigiHader, Paulo [UNESP]Mohajane, MeriameQuevedo, Renata PachecoCatani, FilippoAydda, Ali2023-07-29T12:52:21Z2023-07-29T12:52:21Z2023-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.envsoft.2023.105657Environmental Modelling and Software, v. 162.1364-8152http://hdl.handle.net/11449/24685410.1016/j.envsoft.2023.1056572-s2.0-85148379658Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnvironmental Modelling and Softwareinfo:eu-repo/semantics/openAccess2023-07-29T12:52:22Zoai:repositorio.unesp.br:11449/246854Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:48:05.054214Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds
title DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds
spellingShingle DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds
Al-Thuwaynee, Omar F.
Landslide
LEWS
QGIS
Rainfall threshold
South Korea
title_short DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds
title_full DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds
title_fullStr DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds
title_full_unstemmed DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds
title_sort DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds
author Al-Thuwaynee, Omar F.
author_facet Al-Thuwaynee, Omar F.
Melillo, Massimo
Gariano, Stefano Luigi
Park, Hyuck Jin
Kim, Sang-Wan
Lombardo, Luigi
Hader, Paulo [UNESP]
Mohajane, Meriame
Quevedo, Renata Pacheco
Catani, Filippo
Aydda, Ali
author_role author
author2 Melillo, Massimo
Gariano, Stefano Luigi
Park, Hyuck Jin
Kim, Sang-Wan
Lombardo, Luigi
Hader, Paulo [UNESP]
Mohajane, Meriame
Quevedo, Renata Pacheco
Catani, Filippo
Aydda, Ali
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Italian National Research Council
Sejong University
University of Twente
Universidade Estadual Paulista (UNESP)
National Institute for Space Research
University of Padova
University Ibn Zohr – Agadir
dc.contributor.author.fl_str_mv Al-Thuwaynee, Omar F.
Melillo, Massimo
Gariano, Stefano Luigi
Park, Hyuck Jin
Kim, Sang-Wan
Lombardo, Luigi
Hader, Paulo [UNESP]
Mohajane, Meriame
Quevedo, Renata Pacheco
Catani, Filippo
Aydda, Ali
dc.subject.por.fl_str_mv Landslide
LEWS
QGIS
Rainfall threshold
South Korea
topic Landslide
LEWS
QGIS
Rainfall threshold
South Korea
description Several studies on empirical rainfall thresholds for landslide occurrence depend on the measurements of nearest rain gauges to the landslides, without taking in consideration the morphological and hydrological settings of the areas. Therefore, we introduce the DEWS (Distance, Elevation, Watershed, and Slope unit) QGIS software tool, for selecting representative rain gauges, a relevant step in the definition of empirical rainfall threshold models. DEWS set with default parameter values for non-expert users. DEWS employs four filters: Distance, Elevation, Watershed, Slope unit, and requires only three data inputs (digital elevation model, landslides inventory, rain gauge locations). Reliability was tested using 223 landslides and 328 rain gauges with the CTRL-T (Calculation of Thresholds for Rainfall-induced Landslides) tool applied in South Korea. Consequently, the amount of rain gauges used was optimized and reduced by 33% using DEWS from using CTRL-T alone, while the shape of the threshold curve and uncertainty values were maintained.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T12:52:21Z
2023-07-29T12:52:21Z
2023-04-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.envsoft.2023.105657
Environmental Modelling and Software, v. 162.
1364-8152
http://hdl.handle.net/11449/246854
10.1016/j.envsoft.2023.105657
2-s2.0-85148379658
url http://dx.doi.org/10.1016/j.envsoft.2023.105657
http://hdl.handle.net/11449/246854
identifier_str_mv Environmental Modelling and Software, v. 162.
1364-8152
10.1016/j.envsoft.2023.105657
2-s2.0-85148379658
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Environmental Modelling and Software
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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