Ordinary krigage for flow prediction in locations without data: proposal for a new methodology
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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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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1797052810444931072 |