Environmentalization of water resources in the Brazilian Amazon guided by artificial intelligence
Autor(a) principal: | |
---|---|
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/30707 |
Resumo: | The Amazon Hydrographic Region presents a panorama of marked organizational fragility of the public sectors related to the Governance of Water and the Water Threat. The need for an Integrated and Participatory Management System for Water Resources and the sectorization of public policies contribute to a context of environmental unsustainability for Water Management. Thus, the environmentalization of Water Resources and the regency of Water configure the actual Territorial Management of Water Resources. The objective of this article is to demonstrate the process of environmentalization of Water Resources and Water governance in the Brazilian Amazon from the operationalization of the Environmentalization Index of Water Resources in the Brazilian Amazon. This method was constituted from the implementation of an Artificial Intelligence based on a Decision Tree. This strategy benefited from data from the Water Threat Index, percentage of deforestation, percentage of dams and percentage of areas destined for commercial agriculture, resulting in a decision-making model capable of assisting the regional development of Amazonian countries. |
id |
UNIFEI_d4d00ac765186494147870a779db9da8 |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/30707 |
network_acronym_str |
UNIFEI |
network_name_str |
Research, Society and Development |
repository_id_str |
|
spelling |
Environmentalization of water resources in the Brazilian Amazon guided by artificial intelligenceAmbientalización de los recursos hídricos en la Amazonía brasileña guiada por la inteligencia artificialAmbientalização dos recursos hídricos na Amazônia brasileira orientada pela inteligência artificialHydrographyAmazonWater managementArtificial intelligence. HidrografíaAmazonasAdministracion del AguaInteligencia artificial.HidrografiaAmazôniaGestão hídricaInteligência ArtificialInteligência artificial.The Amazon Hydrographic Region presents a panorama of marked organizational fragility of the public sectors related to the Governance of Water and the Water Threat. The need for an Integrated and Participatory Management System for Water Resources and the sectorization of public policies contribute to a context of environmental unsustainability for Water Management. Thus, the environmentalization of Water Resources and the regency of Water configure the actual Territorial Management of Water Resources. The objective of this article is to demonstrate the process of environmentalization of Water Resources and Water governance in the Brazilian Amazon from the operationalization of the Environmentalization Index of Water Resources in the Brazilian Amazon. This method was constituted from the implementation of an Artificial Intelligence based on a Decision Tree. This strategy benefited from data from the Water Threat Index, percentage of deforestation, percentage of dams and percentage of areas destined for commercial agriculture, resulting in a decision-making model capable of assisting the regional development of Amazonian countries.La Región Hidrográfica Amazónica presenta un panorama de marcada fragilidad organizativa de los sectores públicos relacionados con la Gobernanza del Agua y la Amenaza Hídrica. La necesidad de un Sistema de Gestión Integrado y Participativo de los Recursos Hídricos y la sectorización de las políticas públicas contribuyen a un contexto de insostenibilidad ambiental para la Gestión del Agua. Así, la ambientalización de los Recursos Hídricos y la regencia del Agua configuran la actual Gestión Territorial de los Recursos Hídricos. El objetivo de este artículo es demostrar el proceso de ambientalización de los Recursos Hídricos y la Gobernanza del Agua en la Amazonía brasileña a partir de la operacionalización del Índice de Ambientalización de los Recursos Hídricos en la Amazonía brasileña. Este método se constituyó a partir de la implementación de una Inteligencia Artificial basada en Árbol de Decisión. Esta estrategia se benefició de datos del Índice de Amenaza Hídrica, porcentaje de deforestación, porcentaje de represas y porcentaje de áreas destinadas a la agricultura comercial, resultando en un modelo de toma de decisiones capaz de asistir al desarrollo regional de los países amazónicos.A Região Hidrográfica Amazônica apresenta um panorama de acentuada fragilidade organizacional dos setores públicos relacionados à Governança da Água e da Ameaça Hídrica. A necessidade de um sistema de Gestão Integrada e Participativa dos Recursos Hídricos e a setorização de políticas públicas contribuem para um contexto de insustentabilidade ambiental para a Gestão Hídrica. Assim, a ambientalização dos Recursos Hídricos e a regência da Água configuram a factual Gestão Territorial dos Recursos Hídricos. O objetivo deste artigo é demonstrar o processo de ambientalização dos Recursos Hídricos e governança da Água na Amazônia Brasileira a partir da operacionalização do Índice de ambientalização dos Recursos Hídricos na Amazônia Brasileira. Este método foi constituído a partir da implementação de uma Inteligência Artificial baseada em Árvore de Decisão. Essa estratégia beneficiou-se de dados do Índice de Ameaça Hídrica, percentual de desmatamento, percentual de barragens e percentual de áreas destinadas à agricultura comercial, resultando em um modelo de tomada de decisão capaz de auxiliar o desenvolvimento regional dos países Amazônicos.Research, Society and Development2022-06-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3070710.33448/rsd-v11i8.30707Research, Society and Development; Vol. 11 No. 8; e34311830707Research, Society and Development; Vol. 11 Núm. 8; e34311830707Research, Society and Development; v. 11 n. 8; e343118307072525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/30707/26589Copyright (c) 2022 Walber Lopes de Abreu; Luís Alberto Basso; Denis Carlos Lima Costahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAbreu, Walber Lopes de Basso, Luís Alberto Costa, Denis Carlos Lima2022-07-01T13:34:06Zoai:ojs.pkp.sfu.ca:article/30707Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:47:22.759645Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Environmentalization of water resources in the Brazilian Amazon guided by artificial intelligence Ambientalización de los recursos hídricos en la Amazonía brasileña guiada por la inteligencia artificial Ambientalização dos recursos hídricos na Amazônia brasileira orientada pela inteligência artificial |
title |
Environmentalization of water resources in the Brazilian Amazon guided by artificial intelligence |
spellingShingle |
Environmentalization of water resources in the Brazilian Amazon guided by artificial intelligence Abreu, Walber Lopes de Hydrography Amazon Water management Artificial intelligence. Hidrografía Amazonas Administracion del Agua Inteligencia artificial. Hidrografia Amazônia Gestão hídrica Inteligência Artificial Inteligência artificial. |
title_short |
Environmentalization of water resources in the Brazilian Amazon guided by artificial intelligence |
title_full |
Environmentalization of water resources in the Brazilian Amazon guided by artificial intelligence |
title_fullStr |
Environmentalization of water resources in the Brazilian Amazon guided by artificial intelligence |
title_full_unstemmed |
Environmentalization of water resources in the Brazilian Amazon guided by artificial intelligence |
title_sort |
Environmentalization of water resources in the Brazilian Amazon guided by artificial intelligence |
author |
Abreu, Walber Lopes de |
author_facet |
Abreu, Walber Lopes de Basso, Luís Alberto Costa, Denis Carlos Lima |
author_role |
author |
author2 |
Basso, Luís Alberto Costa, Denis Carlos Lima |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Abreu, Walber Lopes de Basso, Luís Alberto Costa, Denis Carlos Lima |
dc.subject.por.fl_str_mv |
Hydrography Amazon Water management Artificial intelligence. Hidrografía Amazonas Administracion del Agua Inteligencia artificial. Hidrografia Amazônia Gestão hídrica Inteligência Artificial Inteligência artificial. |
topic |
Hydrography Amazon Water management Artificial intelligence. Hidrografía Amazonas Administracion del Agua Inteligencia artificial. Hidrografia Amazônia Gestão hídrica Inteligência Artificial Inteligência artificial. |
description |
The Amazon Hydrographic Region presents a panorama of marked organizational fragility of the public sectors related to the Governance of Water and the Water Threat. The need for an Integrated and Participatory Management System for Water Resources and the sectorization of public policies contribute to a context of environmental unsustainability for Water Management. Thus, the environmentalization of Water Resources and the regency of Water configure the actual Territorial Management of Water Resources. The objective of this article is to demonstrate the process of environmentalization of Water Resources and Water governance in the Brazilian Amazon from the operationalization of the Environmentalization Index of Water Resources in the Brazilian Amazon. This method was constituted from the implementation of an Artificial Intelligence based on a Decision Tree. This strategy benefited from data from the Water Threat Index, percentage of deforestation, percentage of dams and percentage of areas destined for commercial agriculture, resulting in a decision-making model capable of assisting the regional development of Amazonian countries. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-21 |
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/30707 10.33448/rsd-v11i8.30707 |
url |
https://rsdjournal.org/index.php/rsd/article/view/30707 |
identifier_str_mv |
10.33448/rsd-v11i8.30707 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/30707/26589 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Walber Lopes de Abreu; Luís Alberto Basso; Denis Carlos Lima Costa https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Walber Lopes de Abreu; Luís Alberto Basso; Denis Carlos Lima Costa 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. 8; e34311830707 Research, Society and Development; Vol. 11 Núm. 8; e34311830707 Research, Society and Development; v. 11 n. 8; e34311830707 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_ |
1797052836703371264 |