DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , |
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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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 |
|
_version_ |
1808129250156347392 |