Ordinary krigage for flow prediction in locations without data: proposal for a new methodology

Detalhes bibliográficos
Autor(a) principal: Machado, Camila
Data de Publicação: 2022
Outros Autores: Gonçalves, Fábio Veríssimo, Ribeiro, Alisson, Dalmas, Fabricio Bau, Paranhos Filho, Antônio Conceição
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/25185
Resumo: The knowledge of water availability in water bodies is of great importance for their management and planning of activities that depend on them. However, great difficulties are encountered during this process, given the lack of data in the vast majority of watersheds. This work presents a technique that has been shown to be efficient in this regard and has been applied by the environmental agency of Mato Grosso do Sul State, but which can also be applied in watersheds of other states: the mapping of minimum flows that, in addition to solving this problem of absence of data, makes the procedure for obtaining hydrological data agile. This research aims to present a methodology for preparing dispersion mapping in minimum flow curves through ordinary kriging, thus helping the flow estimation process, as it serves as a tool for collecting and generating information on reference flow rates by simply inserting the geographic coordinate of the point of interest. Data from 79 fluviometric stations were used and maps were generated for the State of Mato Grosso do Sul. The results obtained were considered satisfactory based on cross validation, where dispersion coefficients around 0.70 were obtained.
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spelling Ordinary krigage for flow prediction in locations without data: proposal for a new methodologyKrigage ordinario para la predicción de flujos en ubicaciones sin datos: propuesta de una nueva metodologíaKrigagem ordinária para predição de vazões em locais sem dados: proposta de nova metodologiaWater availabilityOrdinary krigingMinimum flows.Disponibilidad de aguaRegionalización de flujosCaudales mínimos.Disponibilidade hídricaRegionalização de vazõesVazões mínimas.The knowledge of water availability in water bodies is of great importance for their management and planning of activities that depend on them. However, great difficulties are encountered during this process, given the lack of data in the vast majority of watersheds. This work presents a technique that has been shown to be efficient in this regard and has been applied by the environmental agency of Mato Grosso do Sul State, but which can also be applied in watersheds of other states: the mapping of minimum flows that, in addition to solving this problem of absence of data, makes the procedure for obtaining hydrological data agile. This research aims to present a methodology for preparing dispersion mapping in minimum flow curves through ordinary kriging, thus helping the flow estimation process, as it serves as a tool for collecting and generating information on reference flow rates by simply inserting the geographic coordinate of the point of interest. Data from 79 fluviometric stations were used and maps were generated for the State of Mato Grosso do Sul. The results obtained were considered satisfactory based on cross validation, where dispersion coefficients around 0.70 were obtained.El conocimiento de la disponibilidad de agua en los cuerpos de agua es de gran importancia para su gestión y planificación de las actividades que dependen de ellos. Sin embargo, se encuentran grandes dificultades durante este proceso, dada la falta de datos en la gran mayoría de las cuencas hidrográficas. Este trabajo presenta una técnica que ha demostrado ser eficiente en este sentido y ha sido aplicada por la agencia ambiental de Mato Grosso do Sul, pero que también puede ser aplicada en otras cuencas hidrográficas de otros estados: el mapeo de caudales mínimos que, además de solucionar este problema de falta de datos flexibiliza el procedimiento para la obtención de datos hidrológicos. Esta investigación tiene como objetivo presentar una metodología para la elaboración de mapas de dispersión en curvas de flujo mínimo mediante kriging ordinario, ayudando así al proceso de estimación de flujo, ya que sirve como herramienta para recolectar y generar información de flujo de referencia a través de la simple inserción de la coordenada geográfica del punto. de interés. Se utilizaron datos de 79 estaciones fluviométricas y se generaron mapas para el estado de Mato Grosso do Sul. Los resultados obtenidos se consideraron satisfactorios en base a la validación cruzada, donde se obtuvieron coeficientes de dispersión alrededor de 0,70.O conhecimento da disponibilidade hídrica dos corpos hídricos é de grande importância para sua gestão e planejamento das atividades que dependem destes. Entretanto, grandes dificuldades são encontradas no decorrer deste processo, visto a ausência de dados na grande maioria das bacias hidrográficas. Nesse trabalho é apresentada uma técnica que tem se demonstrado eficiente nesse sentido e tem sido aplicada pelo órgão ambiental de Mato Grosso do Sul, porém que pode também ser aplicada em outras bacias hidrográficas de outros Estados: o mapeamento de vazões mínimas que, além de solucionar este problema da ausência de dados, confere agilidade ao procedimento de obtenção de dados hidrológicos. Esta pesquisa tem objetivo de apresentar uma metodologia para elaboração de mapeamento de dispersão em curvas de vazões mínimas através da krigagem ordinária, auxiliando assim o processo de estimativa de vazões, uma vez que serve como ferramenta para coleta e geração de informações de vazões de referências através da simples inserção da coordenada geográfica do ponto em interesse. Foram utilizados dados de 79 estações fluviométricas e gerados os mapas para o Estado de Mato Grosso do Sul. Os resultados obtidos foram considerados satisfatórios com base na validação cruzada, onde foram obtidos coeficientes de dispersão em torno de 0,70.Research, Society and Development2022-02-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2518510.33448/rsd-v11i2.25185Research, Society and Development; Vol. 11 No. 2; e54511225185Research, Society and Development; Vol. 11 Núm. 2; e54511225185Research, Society and Development; v. 11 n. 2; e545112251852525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/25185/22849Copyright (c) 2022 Camila Machado; Fábio Veríssimo Gonçalves; Alisson Ribeiro; Fabricio Bau Dalmas; Antônio Conceição Paranhos Filhohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMachado, CamilaGonçalves, Fábio VeríssimoRibeiro, AlissonDalmas, Fabricio BauParanhos Filho, Antônio Conceição2022-02-07T01:42:50Zoai:ojs.pkp.sfu.ca:article/25185Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:43:31.739646Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Ordinary krigage for flow prediction in locations without data: proposal for a new methodology
Krigage ordinario para la predicción de flujos en ubicaciones sin datos: propuesta de una nueva metodología
Krigagem ordinária para predição de vazões em locais sem dados: proposta de nova metodologia
title Ordinary krigage for flow prediction in locations without data: proposal for a new methodology
spellingShingle Ordinary krigage for flow prediction in locations without data: proposal for a new methodology
Machado, Camila
Water availability
Ordinary kriging
Minimum flows.
Disponibilidad de agua
Regionalización de flujos
Caudales mínimos.
Disponibilidade hídrica
Regionalização de vazões
Vazões mínimas.
title_short Ordinary krigage for flow prediction in locations without data: proposal for a new methodology
title_full Ordinary krigage for flow prediction in locations without data: proposal for a new methodology
title_fullStr Ordinary krigage for flow prediction in locations without data: proposal for a new methodology
title_full_unstemmed Ordinary krigage for flow prediction in locations without data: proposal for a new methodology
title_sort Ordinary krigage for flow prediction in locations without data: proposal for a new methodology
author Machado, Camila
author_facet Machado, Camila
Gonçalves, Fábio Veríssimo
Ribeiro, Alisson
Dalmas, Fabricio Bau
Paranhos Filho, Antônio Conceição
author_role author
author2 Gonçalves, Fábio Veríssimo
Ribeiro, Alisson
Dalmas, Fabricio Bau
Paranhos Filho, Antônio Conceição
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Machado, Camila
Gonçalves, Fábio Veríssimo
Ribeiro, Alisson
Dalmas, Fabricio Bau
Paranhos Filho, Antônio Conceição
dc.subject.por.fl_str_mv Water availability
Ordinary kriging
Minimum flows.
Disponibilidad de agua
Regionalización de flujos
Caudales mínimos.
Disponibilidade hídrica
Regionalização de vazões
Vazões mínimas.
topic Water availability
Ordinary kriging
Minimum flows.
Disponibilidad de agua
Regionalización de flujos
Caudales mínimos.
Disponibilidade hídrica
Regionalização de vazões
Vazões mínimas.
description The knowledge of water availability in water bodies is of great importance for their management and planning of activities that depend on them. However, great difficulties are encountered during this process, given the lack of data in the vast majority of watersheds. This work presents a technique that has been shown to be efficient in this regard and has been applied by the environmental agency of Mato Grosso do Sul State, but which can also be applied in watersheds of other states: the mapping of minimum flows that, in addition to solving this problem of absence of data, makes the procedure for obtaining hydrological data agile. This research aims to present a methodology for preparing dispersion mapping in minimum flow curves through ordinary kriging, thus helping the flow estimation process, as it serves as a tool for collecting and generating information on reference flow rates by simply inserting the geographic coordinate of the point of interest. Data from 79 fluviometric stations were used and maps were generated for the State of Mato Grosso do Sul. The results obtained were considered satisfactory based on cross validation, where dispersion coefficients around 0.70 were obtained.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-05
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/25185
10.33448/rsd-v11i2.25185
url https://rsdjournal.org/index.php/rsd/article/view/25185
identifier_str_mv 10.33448/rsd-v11i2.25185
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/25185/22849
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. 2; e54511225185
Research, Society and Development; Vol. 11 Núm. 2; e54511225185
Research, Society and Development; v. 11 n. 2; e54511225185
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
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