Rainfall interception mapping in the Alto Juruá hydrographic basin, Acre

Detalhes bibliográficos
Autor(a) principal: Farias, Cassia Fernanda de Souza
Data de Publicação: 2022
Outros Autores: José, Jefferson Vieira, Leite, Kelly Nascimento, Souza, Moisés Damasceno, Amaral, Marcos Antonio Correa Matos, Silva , Sonaira Souza da
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/24343
Resumo: Rainwater interception losses are often neglected due to measurement difficulties and great spatial and temporal variability. Losses can be significant and therefore have a severe impact on the water balance of a watershed. The present work had as objective to obtain the pluvial interception in the hydrographic basin of the Alto Juruá (BHAJ), through the Gash model, based on remote sensing data. The platform for data processing was the Google Earth Engine, which allowed the assessment and comparison of rainfall variables, normalized difference vegetation index and leaf area index (LAI), on a monthly and annual scale, in the period of 2003 to 2016. Thus, it was possible to observe that the interception has a strong relationship with LAI and vegetation cover, recording an annual average of 11.2% of rain intercept by the forest within the BHAJ, with its highest percentages in the rainiest periods.
id UNIFEI_bdf40d5fdc631ba840d3370f23d526b1
oai_identifier_str oai:ojs.pkp.sfu.ca:article/24343
network_acronym_str UNIFEI
network_name_str Research, Society and Development
repository_id_str
spelling Rainfall interception mapping in the Alto Juruá hydrographic basin, AcreMapeo de interceptación de lluvia en la cuenca hidrográfica del Alto Juruá, AcreMapeamento da interceptação de chuva na bacia hidrográfica do Alto Juruá, AcreÁrea FoliarAmazoniaModelo de Gash.Foliar AreaAmazonGash Model.Área FoliarAmazôniaModelo de Gash.Rainwater interception losses are often neglected due to measurement difficulties and great spatial and temporal variability. Losses can be significant and therefore have a severe impact on the water balance of a watershed. The present work had as objective to obtain the pluvial interception in the hydrographic basin of the Alto Juruá (BHAJ), through the Gash model, based on remote sensing data. The platform for data processing was the Google Earth Engine, which allowed the assessment and comparison of rainfall variables, normalized difference vegetation index and leaf area index (LAI), on a monthly and annual scale, in the period of 2003 to 2016. Thus, it was possible to observe that the interception has a strong relationship with LAI and vegetation cover, recording an annual average of 11.2% of rain intercept by the forest within the BHAJ, with its highest percentages in the rainiest periods.Las pérdidas por interceptación de agua de lluvia a menudo se pasan por alto, debido a las dificultades de medición y la gran variabilidad espacial y temporal. Las pérdidas pueden ser significativas y, por lo tanto, tener un impacto severo en el balance hídrico de una cuenca. El presente trabajo tuvo como objetivo obtener la interceptación pluvial en la cuenca hidrográfica del Alto Juruá (BHAJ), a través del modelo Gash, con base en datos de teledetección. La plataforma para el procesamiento de datos fue Google Earth Engine, que permitió la evaluación y comparación de las variables de precipitación, índice de vegetación de diferencia normalizada e índice de área foliar (LAI), en una escala mensual y anual, en el período de 2003 a 2016. Así, se pudo observar que la interceptación tiene una fuerte relación con la LAI y la cobertura vegetal, registrando un promedio anual de 11,2% de interceptación de lluvia por el bosque dentro del BHAJ, con sus mayores porcentajes en los períodos más lluviosos.As perdas por interceptação das águas pluviais são frequentemente negligenciadas devido às dificuldades de medição e grande variabilidade espacial e temporal. As perdas podem ser significativas e, portanto, ter um impacto severo no balanço hídrico de uma bacia hidrográfica. O presente trabalho teve como objetivo obter a interceptação pluvial na bacia hidrográfica do Alto Juruá (BHAJ), por meio do modelo de Gash, com base em dados de sensoriamento remoto. A plataforma para o processamento dos dados foi o Google Earth Engine, no qual permitiu avaliar e comparar as variáveis de precipitação pluvial, índice de vegetação com diferença normalizada e índice de área foliar (IAF), em escala mensal e anual, no período de 2003 a 2016. Dessa forma, foi possível observar que a interceptação possui uma forte relação com IAF e a cobertura vegetal, registrando uma média anual de 11,2% de interceptação de chuva pela floresta dentro da BHAJ, apresentando suas maiores porcentagens nos períodos mais chuvosos.Research, Society and Development2022-01-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2434310.33448/rsd-v11i1.24343Research, Society and Development; Vol. 11 No. 1; e6711124343Research, Society and Development; Vol. 11 Núm. 1; e6711124343Research, Society and Development; v. 11 n. 1; e67111243432525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/24343/21635Copyright (c) 2022 Cassia Fernanda de Souza Farias; Jefferson Vieira José; Kelly Nascimento Leite; Moisés Damasceno Souza; Marcos Antonio Correa Matos Amaral; Sonaira Souza da Silva https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFarias, Cassia Fernanda de Souza José, Jefferson Vieira Leite, Kelly Nascimento Souza, Moisés Damasceno Amaral, Marcos Antonio Correa Matos Silva , Sonaira Souza da 2022-01-16T18:08:18Zoai:ojs.pkp.sfu.ca:article/24343Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:42:55.966050Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Rainfall interception mapping in the Alto Juruá hydrographic basin, Acre
Mapeo de interceptación de lluvia en la cuenca hidrográfica del Alto Juruá, Acre
Mapeamento da interceptação de chuva na bacia hidrográfica do Alto Juruá, Acre
title Rainfall interception mapping in the Alto Juruá hydrographic basin, Acre
spellingShingle Rainfall interception mapping in the Alto Juruá hydrographic basin, Acre
Farias, Cassia Fernanda de Souza
Área Foliar
Amazonia
Modelo de Gash.
Foliar Area
Amazon
Gash Model.
Área Foliar
Amazônia
Modelo de Gash.
title_short Rainfall interception mapping in the Alto Juruá hydrographic basin, Acre
title_full Rainfall interception mapping in the Alto Juruá hydrographic basin, Acre
title_fullStr Rainfall interception mapping in the Alto Juruá hydrographic basin, Acre
title_full_unstemmed Rainfall interception mapping in the Alto Juruá hydrographic basin, Acre
title_sort Rainfall interception mapping in the Alto Juruá hydrographic basin, Acre
author Farias, Cassia Fernanda de Souza
author_facet Farias, Cassia Fernanda de Souza
José, Jefferson Vieira
Leite, Kelly Nascimento
Souza, Moisés Damasceno
Amaral, Marcos Antonio Correa Matos
Silva , Sonaira Souza da
author_role author
author2 José, Jefferson Vieira
Leite, Kelly Nascimento
Souza, Moisés Damasceno
Amaral, Marcos Antonio Correa Matos
Silva , Sonaira Souza da
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Farias, Cassia Fernanda de Souza
José, Jefferson Vieira
Leite, Kelly Nascimento
Souza, Moisés Damasceno
Amaral, Marcos Antonio Correa Matos
Silva , Sonaira Souza da
dc.subject.por.fl_str_mv Área Foliar
Amazonia
Modelo de Gash.
Foliar Area
Amazon
Gash Model.
Área Foliar
Amazônia
Modelo de Gash.
topic Área Foliar
Amazonia
Modelo de Gash.
Foliar Area
Amazon
Gash Model.
Área Foliar
Amazônia
Modelo de Gash.
description Rainwater interception losses are often neglected due to measurement difficulties and great spatial and temporal variability. Losses can be significant and therefore have a severe impact on the water balance of a watershed. The present work had as objective to obtain the pluvial interception in the hydrographic basin of the Alto Juruá (BHAJ), through the Gash model, based on remote sensing data. The platform for data processing was the Google Earth Engine, which allowed the assessment and comparison of rainfall variables, normalized difference vegetation index and leaf area index (LAI), on a monthly and annual scale, in the period of 2003 to 2016. Thus, it was possible to observe that the interception has a strong relationship with LAI and vegetation cover, recording an annual average of 11.2% of rain intercept by the forest within the BHAJ, with its highest percentages in the rainiest periods.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-02
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/24343
10.33448/rsd-v11i1.24343
url https://rsdjournal.org/index.php/rsd/article/view/24343
identifier_str_mv 10.33448/rsd-v11i1.24343
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/24343/21635
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 1; e6711124343
Research, Society and Development; Vol. 11 Núm. 1; e6711124343
Research, Society and Development; v. 11 n. 1; e6711124343
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052699733131264