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Extreme precipitation events and erosion in the Santa Maria river hydrographic basin (RS)

Bibliographic Details
Main Author: Petsch, Carina
Publication Date: 2023
Other Authors: Cunha do Amaral, Eduardo, de Oliveira Sanches, Fábio
Format: Article
Language: por
Source: Revista Brasileira de Climatologia (Online)
Download full: https://ojs.ufgd.edu.br/rbclima/article/view/16473
Summary: The extreme precipitation events (EEP) are presented as triggers of several natural disasters, being able to trigger, for example, erosion processes with the disaggregation and transport of sedimentary material. Studies for the Santa Maria river basin (BHRSM), located in the southwest of Rio Grande do Sul, indicate that linear erosion features (FEL) occur mainly in friable rocks and portions with high erosivity of precipitation. The objective of this study is to identify and characterize the EEP of the BHRSM and evaluate its relationship with erosion processes. The EEP were obtained from the application of the 99th percentile with data from seven meteorological stations (EM), between 1986-2020. The spatialization and crossing of the data were performed in QGIS. BHRSM had a total of 695 EEP. It is verified that annually the years with more EEP are those with positive ONI (Oceanic Niño Index). Seasonally, spring and autumn are the seasons with more EEP, which is linked to Mesoscale Convective Complexes. The months with the most extreme events coincide with the planting and harvesting of soybeans, due to land management, the soil can be exposed and consequently trigger erosion processes. Spatially, it was observed that the predominance of FEL occurs in the EM Ponte Toropi II area of influence, which concentrates 50% of the extreme events of the BHRSM. This study pointed out that there may be a development of FEL due to the EEP - in addition to the context of poorly consolidated sandy substrate that already configure a scenario of environmental fragility for the BHRSM.
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spelling Extreme precipitation events and erosion in the Santa Maria river hydrographic basin (RS)Eventos de precipitación extrema y erosion en la cuenca hidrografica del río Santa Maria (RS)Eventos extremos de precipitação e sua relação com a erosão na Bacia Hidrográfica do rio Santa Maria (RS) percentil 99lluviaSIG99th percentilerainGISpercentil 99chuvaSIGThe extreme precipitation events (EEP) are presented as triggers of several natural disasters, being able to trigger, for example, erosion processes with the disaggregation and transport of sedimentary material. Studies for the Santa Maria river basin (BHRSM), located in the southwest of Rio Grande do Sul, indicate that linear erosion features (FEL) occur mainly in friable rocks and portions with high erosivity of precipitation. The objective of this study is to identify and characterize the EEP of the BHRSM and evaluate its relationship with erosion processes. The EEP were obtained from the application of the 99th percentile with data from seven meteorological stations (EM), between 1986-2020. The spatialization and crossing of the data were performed in QGIS. BHRSM had a total of 695 EEP. It is verified that annually the years with more EEP are those with positive ONI (Oceanic Niño Index). Seasonally, spring and autumn are the seasons with more EEP, which is linked to Mesoscale Convective Complexes. The months with the most extreme events coincide with the planting and harvesting of soybeans, due to land management, the soil can be exposed and consequently trigger erosion processes. Spatially, it was observed that the predominance of FEL occurs in the EM Ponte Toropi II area of influence, which concentrates 50% of the extreme events of the BHRSM. This study pointed out that there may be a development of FEL due to the EEP - in addition to the context of poorly consolidated sandy substrate that already configure a scenario of environmental fragility for the BHRSM.Los eventos de precipitación extrema (EEP) se presentan como desencadenantes de varios desastres naturales, pudiendo desencadenar, por ejemplo, procesos de erosión con la desagregación y transporte de material sedimentario. Estudios para la cuenca del río Santa Maria (BHRSM), ubicada en el suroeste de Rio Grande do Sul, indican que las características de erosión lineal (FEL) ocurren principalmente en rocas friables y porciones con alta erosividad de precipitación. El objetivo de este estudio es identificar y caracterizar la EEP de la BHRSM y evaluar su relación con los procesos de erosión. Los EEP se obtuvieron a partir de la aplicación del percentil 99 con datos de siete estaciones meteorológicas (EM), entre 1986-2020. La espacialización y cruce de los datos se realizó en QGIS. BHRSM tuvo un total de 695 EEP. Se comprueba que anualmente los años con más EEP son aquellos con ONI (Índice Oceánico del Niño) positivo. Estacionalmente, la primavera y el otoño son las estaciones con más EEP, lo que está relacionado con los Complejos Convectivos de Mesoescala. Los meses con los eventos más extremos coinciden con la siembra y cosecha de la soja, debido al manejo de la tierra, el suelo puede quedar expuesto y consecuentemente desencadenar procesos de erosión. Espacialmente, se observó que el predominio de FEL ocurre en el área de influencia de la EM Ponte Toropi II, que concentra el 50% de los eventos extremos de la BHRSM. Este estudio señaló que puede haber un desarrollo de FEL debido a la EEP, además del contexto de sustrato arenoso poco consolidado que ya un escenario de fragilidad ambiental para el BHRSM.Os eventos extremos de precipitação (EEP) se apresentam como deflagradores de diversos desastres naturais, podendo desencadear, por exemplo, processos erosivos com a desagregação e transporte de material sedimentar. Os estudos para a bacia hidrográfica do rio Santa Maria (BHRSM), localizada no sudoeste gaúcho, indicam que as feições erosivas lineares (FEL) ocorrem principalmente em rochas friáveis e porções com alta erosividade da precipitação. Assim, o objetivo deste estudo foi identificar e caracterizar os EEP da BHRSM e avaliar sua relação com os processos erosivos. Os EEP foram obtidos a partir da aplicação do percentil 99 com dados de sete estações meteorológicas (EM), entre 1986-2020. A espacialização e cruzamento dos dados foram realizados no QGIS. A BHRSM teve um total de 695 EEP. Verificou-se que, anualmente, os anos com mais EEP são aqueles com ONI (Oceanic Niño Index) positivo. Sazonalmente, primavera e outono são as estações com mais EEP, o que está ligado aos Complexos Convectivos de Mesoescala. Os meses com mais eventos extremos coincidem com os de plantio e colheita de soja. Devido ao manejo da terra, o solo pode ficar exposto e, consequentemente, desencadear processos erosivos. Espacialmente, observou-se que a predominância de FEL ocorre na área de influência da EM Ponte Toropi II, que concentra 50% dos eventos extremos da BHRSM. Este estudo aponta que pode ocorrer o desenvolvimento das FEL em função dos EEP, além do contexto de substrato arenoso pouco consolidado, que já configura um cenário de fragilidade ambiental para a BHRSM.Universidade Federal da Grande Dourados2023-07-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos Paresapplication/pdfhttps://ojs.ufgd.edu.br/rbclima/article/view/1647310.55761/abclima.v33i19.16473Brazilian Journal of Climatology; Vol. 33 (2023); 1 - 28Revista Brasileña de Climatología; Vol. 33 (2023); 1 - 28Journal Brésilien de Climatologie ; Vol. 33 (2023); 1 - 28Revista Brasileira de Climatologia; v. 33 (2023); 1 - 282237-86422237-864210.55761/abclima.v33i19reponame:Revista Brasileira de Climatologia (Online)instname:ABClimainstacron:ABCLIMAporhttps://ojs.ufgd.edu.br/rbclima/article/view/16473/9537Copyright (c) 2023 Carina Petsch, Eduardo Cunha do Amaral, Fábio de Oliveira Sanchesinfo:eu-repo/semantics/openAccessPetsch, CarinaCunha do Amaral, Eduardode Oliveira Sanches, Fábio2023-09-17T14:56:43Zoai:ojs.pkp.sfu.ca:article/16473Revistahttps://revistas.ufpr.br/revistaabclima/indexPUBhttps://revistas.ufpr.br/revistaabclima/oaiegalvani@usp.br || rbclima2014@gmail.com2237-86421980-055Xopendoar:2023-09-17T14:56:43Revista Brasileira de Climatologia (Online) - ABClimafalse
dc.title.none.fl_str_mv Extreme precipitation events and erosion in the Santa Maria river hydrographic basin (RS)
Eventos de precipitación extrema y erosion en la cuenca hidrografica del río Santa Maria (RS)
Eventos extremos de precipitação e sua relação com a erosão na Bacia Hidrográfica do rio Santa Maria (RS)
title Extreme precipitation events and erosion in the Santa Maria river hydrographic basin (RS)
spellingShingle Extreme precipitation events and erosion in the Santa Maria river hydrographic basin (RS)
Petsch, Carina
percentil 99
lluvia
SIG
99th percentile
rain
GIS
percentil 99
chuva
SIG
title_short Extreme precipitation events and erosion in the Santa Maria river hydrographic basin (RS)
title_full Extreme precipitation events and erosion in the Santa Maria river hydrographic basin (RS)
title_fullStr Extreme precipitation events and erosion in the Santa Maria river hydrographic basin (RS)
title_full_unstemmed Extreme precipitation events and erosion in the Santa Maria river hydrographic basin (RS)
title_sort Extreme precipitation events and erosion in the Santa Maria river hydrographic basin (RS)
author Petsch, Carina
author_facet Petsch, Carina
Cunha do Amaral, Eduardo
de Oliveira Sanches, Fábio
author_role author
author2 Cunha do Amaral, Eduardo
de Oliveira Sanches, Fábio
author2_role author
author
dc.contributor.author.fl_str_mv Petsch, Carina
Cunha do Amaral, Eduardo
de Oliveira Sanches, Fábio
dc.subject.por.fl_str_mv percentil 99
lluvia
SIG
99th percentile
rain
GIS
percentil 99
chuva
SIG
topic percentil 99
lluvia
SIG
99th percentile
rain
GIS
percentil 99
chuva
SIG
description The extreme precipitation events (EEP) are presented as triggers of several natural disasters, being able to trigger, for example, erosion processes with the disaggregation and transport of sedimentary material. Studies for the Santa Maria river basin (BHRSM), located in the southwest of Rio Grande do Sul, indicate that linear erosion features (FEL) occur mainly in friable rocks and portions with high erosivity of precipitation. The objective of this study is to identify and characterize the EEP of the BHRSM and evaluate its relationship with erosion processes. The EEP were obtained from the application of the 99th percentile with data from seven meteorological stations (EM), between 1986-2020. The spatialization and crossing of the data were performed in QGIS. BHRSM had a total of 695 EEP. It is verified that annually the years with more EEP are those with positive ONI (Oceanic Niño Index). Seasonally, spring and autumn are the seasons with more EEP, which is linked to Mesoscale Convective Complexes. The months with the most extreme events coincide with the planting and harvesting of soybeans, due to land management, the soil can be exposed and consequently trigger erosion processes. Spatially, it was observed that the predominance of FEL occurs in the EM Ponte Toropi II area of influence, which concentrates 50% of the extreme events of the BHRSM. This study pointed out that there may be a development of FEL due to the EEP - in addition to the context of poorly consolidated sandy substrate that already configure a scenario of environmental fragility for the BHRSM.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artigo avaliado pelos Pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.ufgd.edu.br/rbclima/article/view/16473
10.55761/abclima.v33i19.16473
url https://ojs.ufgd.edu.br/rbclima/article/view/16473
identifier_str_mv 10.55761/abclima.v33i19.16473
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://ojs.ufgd.edu.br/rbclima/article/view/16473/9537
dc.rights.driver.fl_str_mv Copyright (c) 2023 Carina Petsch, Eduardo Cunha do Amaral, Fábio de Oliveira Sanches
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Carina Petsch, Eduardo Cunha do Amaral, Fábio de Oliveira Sanches
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal da Grande Dourados
publisher.none.fl_str_mv Universidade Federal da Grande Dourados
dc.source.none.fl_str_mv Brazilian Journal of Climatology; Vol. 33 (2023); 1 - 28
Revista Brasileña de Climatología; Vol. 33 (2023); 1 - 28
Journal Brésilien de Climatologie ; Vol. 33 (2023); 1 - 28
Revista Brasileira de Climatologia; v. 33 (2023); 1 - 28
2237-8642
2237-8642
10.55761/abclima.v33i19
reponame:Revista Brasileira de Climatologia (Online)
instname:ABClima
instacron:ABCLIMA
instname_str ABClima
instacron_str ABCLIMA
institution ABCLIMA
reponame_str Revista Brasileira de Climatologia (Online)
collection Revista Brasileira de Climatologia (Online)
repository.name.fl_str_mv Revista Brasileira de Climatologia (Online) - ABClima
repository.mail.fl_str_mv egalvani@usp.br || rbclima2014@gmail.com
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