Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da Universidade Federal do Ceará (UFC) |
Texto Completo: | http://www.repositorio.ufc.br/handle/riufc/70997 |
Resumo: | Purpose This paper presents the regionalized water scarcity characterization factors (CFs) of the available water remaining (AWARE) model, which was found by a previous study, on the water scarcity in Brazil, to be the most indicative characterization model for the water-scarce regions in Brazil. We used the national database and hydrographic delimitations defined by the National Water Agency (Agência Nacional de Águas — ANA) to generate the regionalized AWARE BR CFs. Methods The CFs were regionalized by hydrographic delimitations used by ANA: (i) State Hydrographic Units (SHU) and (ii) Hydrographic Regions (HR). These AWARE BR CFs were compared with the factors originally proposed by WULCA (2018) and with the Scarcity Index used by ANA to identify the scarcest regions in the country. Finally, the AWARE and AWARE BR factors were applied to a case study of Brazilian melons, evaluating the regionalization effects on the results of water scarcity analysis. Results and discussion The AWARE BR CFs demonstrate most consistency with the regions recognized by ANA to have water scarcity problems, such as the semiarid region. Approximately 12% of the SHUs exhibited aximum water scarcity (CF = 100) during the entire year, while 11% presented minimum scarcity factors (CF = 0.1). The comparison of hydrologic data from ANA with those from WaterGAP indicated that water availability was overestimated in WaterGAP, while demand was underestimated in different basins. The comparison of AWARE BR CFs with ANA Scarcity Index values indicated more similarity (smaller residual error) than the comparison of AWARE BR CFs with AWARE. The case study regarding the impact of water scarcity on melons showed a significant difference between characterization factors and, consequently, in the values of impact. Conclusions AWARE BR factors generated with national characterization data are adapted to the different regions of Brazil, exhibiting higher sensitivity to the semiarid region. This regionalization provided a more accurate representation of the scarcity in smaller basins located in larger basins, characterized by large climate variation. |
id |
UFC-7_d18a670f1d7cb96a6605b1bfd809278c |
---|---|
oai_identifier_str |
oai:repositorio.ufc.br:riufc/70997 |
network_acronym_str |
UFC-7 |
network_name_str |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
repository_id_str |
|
spelling |
Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factorsBrazilian semiaridCharacterization factorsHydrographic regionsState hydrographic unitsWater scarcityPurpose This paper presents the regionalized water scarcity characterization factors (CFs) of the available water remaining (AWARE) model, which was found by a previous study, on the water scarcity in Brazil, to be the most indicative characterization model for the water-scarce regions in Brazil. We used the national database and hydrographic delimitations defined by the National Water Agency (Agência Nacional de Águas — ANA) to generate the regionalized AWARE BR CFs. Methods The CFs were regionalized by hydrographic delimitations used by ANA: (i) State Hydrographic Units (SHU) and (ii) Hydrographic Regions (HR). These AWARE BR CFs were compared with the factors originally proposed by WULCA (2018) and with the Scarcity Index used by ANA to identify the scarcest regions in the country. Finally, the AWARE and AWARE BR factors were applied to a case study of Brazilian melons, evaluating the regionalization effects on the results of water scarcity analysis. Results and discussion The AWARE BR CFs demonstrate most consistency with the regions recognized by ANA to have water scarcity problems, such as the semiarid region. Approximately 12% of the SHUs exhibited aximum water scarcity (CF = 100) during the entire year, while 11% presented minimum scarcity factors (CF = 0.1). The comparison of hydrologic data from ANA with those from WaterGAP indicated that water availability was overestimated in WaterGAP, while demand was underestimated in different basins. The comparison of AWARE BR CFs with ANA Scarcity Index values indicated more similarity (smaller residual error) than the comparison of AWARE BR CFs with AWARE. The case study regarding the impact of water scarcity on melons showed a significant difference between characterization factors and, consequently, in the values of impact. Conclusions AWARE BR factors generated with national characterization data are adapted to the different regions of Brazil, exhibiting higher sensitivity to the semiarid region. This regionalization provided a more accurate representation of the scarcity in smaller basins located in larger basins, characterized by large climate variation.The International Journal of Life Cycle Assessment2023-02-28T11:41:33Z2023-02-28T11:41:33Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfANDRADE, Edilene Pereira et al. Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors. The International Journal of Life Cycle Assessment, [S. l.], v. 25, p. 2342-2358, 2020.1614-7502http://www.repositorio.ufc.br/handle/riufc/70997Andrade, Edilene PereiraNunes, Ana Bárbara de AraújoAlves, Kilvia de FreitasUgaya, Cássia Maria LieAlencar, Mateus da CostaSantos, Tayane de LimaBarros, Viviane da SilvaPastor, Amandine ValérieFigueirêdo, Maria Cléa Brito deinfo:eu-repo/semantics/openAccessengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFC2023-12-06T17:57:57Zoai:repositorio.ufc.br:riufc/70997Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:19:06.997537Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors |
title |
Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors |
spellingShingle |
Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors Andrade, Edilene Pereira Brazilian semiarid Characterization factors Hydrographic regions State hydrographic units Water scarcity |
title_short |
Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors |
title_full |
Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors |
title_fullStr |
Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors |
title_full_unstemmed |
Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors |
title_sort |
Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors |
author |
Andrade, Edilene Pereira |
author_facet |
Andrade, Edilene Pereira Nunes, Ana Bárbara de Araújo Alves, Kilvia de Freitas Ugaya, Cássia Maria Lie Alencar, Mateus da Costa Santos, Tayane de Lima Barros, Viviane da Silva Pastor, Amandine Valérie Figueirêdo, Maria Cléa Brito de |
author_role |
author |
author2 |
Nunes, Ana Bárbara de Araújo Alves, Kilvia de Freitas Ugaya, Cássia Maria Lie Alencar, Mateus da Costa Santos, Tayane de Lima Barros, Viviane da Silva Pastor, Amandine Valérie Figueirêdo, Maria Cléa Brito de |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Andrade, Edilene Pereira Nunes, Ana Bárbara de Araújo Alves, Kilvia de Freitas Ugaya, Cássia Maria Lie Alencar, Mateus da Costa Santos, Tayane de Lima Barros, Viviane da Silva Pastor, Amandine Valérie Figueirêdo, Maria Cléa Brito de |
dc.subject.por.fl_str_mv |
Brazilian semiarid Characterization factors Hydrographic regions State hydrographic units Water scarcity |
topic |
Brazilian semiarid Characterization factors Hydrographic regions State hydrographic units Water scarcity |
description |
Purpose This paper presents the regionalized water scarcity characterization factors (CFs) of the available water remaining (AWARE) model, which was found by a previous study, on the water scarcity in Brazil, to be the most indicative characterization model for the water-scarce regions in Brazil. We used the national database and hydrographic delimitations defined by the National Water Agency (Agência Nacional de Águas — ANA) to generate the regionalized AWARE BR CFs. Methods The CFs were regionalized by hydrographic delimitations used by ANA: (i) State Hydrographic Units (SHU) and (ii) Hydrographic Regions (HR). These AWARE BR CFs were compared with the factors originally proposed by WULCA (2018) and with the Scarcity Index used by ANA to identify the scarcest regions in the country. Finally, the AWARE and AWARE BR factors were applied to a case study of Brazilian melons, evaluating the regionalization effects on the results of water scarcity analysis. Results and discussion The AWARE BR CFs demonstrate most consistency with the regions recognized by ANA to have water scarcity problems, such as the semiarid region. Approximately 12% of the SHUs exhibited aximum water scarcity (CF = 100) during the entire year, while 11% presented minimum scarcity factors (CF = 0.1). The comparison of hydrologic data from ANA with those from WaterGAP indicated that water availability was overestimated in WaterGAP, while demand was underestimated in different basins. The comparison of AWARE BR CFs with ANA Scarcity Index values indicated more similarity (smaller residual error) than the comparison of AWARE BR CFs with AWARE. The case study regarding the impact of water scarcity on melons showed a significant difference between characterization factors and, consequently, in the values of impact. Conclusions AWARE BR factors generated with national characterization data are adapted to the different regions of Brazil, exhibiting higher sensitivity to the semiarid region. This regionalization provided a more accurate representation of the scarcity in smaller basins located in larger basins, characterized by large climate variation. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2023-02-28T11:41:33Z 2023-02-28T11:41:33Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
ANDRADE, Edilene Pereira et al. Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors. The International Journal of Life Cycle Assessment, [S. l.], v. 25, p. 2342-2358, 2020. 1614-7502 http://www.repositorio.ufc.br/handle/riufc/70997 |
identifier_str_mv |
ANDRADE, Edilene Pereira et al. Water scarcity in Brazil: part 1 - regionalization of the AWARE model characterization factors. The International Journal of Life Cycle Assessment, [S. l.], v. 25, p. 2342-2358, 2020. 1614-7502 |
url |
http://www.repositorio.ufc.br/handle/riufc/70997 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
The International Journal of Life Cycle Assessment |
publisher.none.fl_str_mv |
The International Journal of Life Cycle Assessment |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da Universidade Federal do Ceará (UFC) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
collection |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
repository.name.fl_str_mv |
Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
bu@ufc.br || repositorio@ufc.br |
_version_ |
1813028752502816768 |