ASSESSMENT OF HYDROLOGICAL MASS LOSSES IN THE NORTHEAST ATLANTIC EASTERN HYDROGRAPHIC REGION, BRAZIL
Abstract: Freshwater monitoring globally is fundamental to support decision-making. However, long-term hydrological data for some regions are lacking due to limited of observational networks. Remote sensing products come to aggregate the in situ observations and overcome obstacles about data availab...
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ftdatacite:10.6084/m9.figshare.14327695 2023-05-15T17:41:12+02:00 ASSESSMENT OF HYDROLOGICAL MASS LOSSES IN THE NORTHEAST ATLANTIC EASTERN HYDROGRAPHIC REGION, BRAZIL Fábio Vinícius Marley Santos Lima Gonçalves, Rodrigo Mikosz Castro, Henry Diverth Montecino Nova, Raquel Arcoverde Vila 2021 https://dx.doi.org/10.6084/m9.figshare.14327695 https://scielo.figshare.com/articles/dataset/ASSESSMENT_OF_HYDROLOGICAL_MASS_LOSSES_IN_THE_NORTHEAST_ATLANTIC_EASTERN_HYDROGRAPHIC_REGION_BRAZIL/14327695 unknown SciELO journals https://dx.doi.org/10.1590/s1982-21702020000300013 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Geochemistry FOS Earth and related environmental sciences 90905 Photogrammetry and Remote Sensing FOS Environmental engineering dataset Dataset 2021 ftdatacite https://doi.org/10.6084/m9.figshare.14327695 https://doi.org/10.1590/s1982-21702020000300013 2021-11-05T12:55:41Z Abstract: Freshwater monitoring globally is fundamental to support decision-making. However, long-term hydrological data for some regions are lacking due to limited of observational networks. Remote sensing products come to aggregate the in situ observations and overcome obstacles about data availability. This study assesses the hydrological mass losses in the Northeast Atlantic Eastern Hydrographic Region (NAEHR) in Brazil through temporal data sources. GRACE RL06 Mascon solutions, reservoirs volume, vegetation index and rainfall stations are used. The results confirm the cohesion between the TWS variations with water volume and NDVI, obtaining a strong correlation of 0.78 and 0.77 respectively. The Standardized Precipitation Index scales (12, 24 and 36 months) showed a moderate and strong correlation with the TWS of 0.57, 0.73 and 0.72 respectively and identified the last regional severe drought from 2012 to 2017. The NEAHR is located almost entirely in the Brazilian semiarid region, comprises about 24 million inhabitants, it is high vulnerable to drought, thus justifying the importance of monitoring its water resources availability. Dataset Northeast Atlantic DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
topic |
Geochemistry FOS Earth and related environmental sciences 90905 Photogrammetry and Remote Sensing FOS Environmental engineering |
spellingShingle |
Geochemistry FOS Earth and related environmental sciences 90905 Photogrammetry and Remote Sensing FOS Environmental engineering Fábio Vinícius Marley Santos Lima Gonçalves, Rodrigo Mikosz Castro, Henry Diverth Montecino Nova, Raquel Arcoverde Vila ASSESSMENT OF HYDROLOGICAL MASS LOSSES IN THE NORTHEAST ATLANTIC EASTERN HYDROGRAPHIC REGION, BRAZIL |
topic_facet |
Geochemistry FOS Earth and related environmental sciences 90905 Photogrammetry and Remote Sensing FOS Environmental engineering |
description |
Abstract: Freshwater monitoring globally is fundamental to support decision-making. However, long-term hydrological data for some regions are lacking due to limited of observational networks. Remote sensing products come to aggregate the in situ observations and overcome obstacles about data availability. This study assesses the hydrological mass losses in the Northeast Atlantic Eastern Hydrographic Region (NAEHR) in Brazil through temporal data sources. GRACE RL06 Mascon solutions, reservoirs volume, vegetation index and rainfall stations are used. The results confirm the cohesion between the TWS variations with water volume and NDVI, obtaining a strong correlation of 0.78 and 0.77 respectively. The Standardized Precipitation Index scales (12, 24 and 36 months) showed a moderate and strong correlation with the TWS of 0.57, 0.73 and 0.72 respectively and identified the last regional severe drought from 2012 to 2017. The NEAHR is located almost entirely in the Brazilian semiarid region, comprises about 24 million inhabitants, it is high vulnerable to drought, thus justifying the importance of monitoring its water resources availability. |
format |
Dataset |
author |
Fábio Vinícius Marley Santos Lima Gonçalves, Rodrigo Mikosz Castro, Henry Diverth Montecino Nova, Raquel Arcoverde Vila |
author_facet |
Fábio Vinícius Marley Santos Lima Gonçalves, Rodrigo Mikosz Castro, Henry Diverth Montecino Nova, Raquel Arcoverde Vila |
author_sort |
Fábio Vinícius Marley Santos Lima |
title |
ASSESSMENT OF HYDROLOGICAL MASS LOSSES IN THE NORTHEAST ATLANTIC EASTERN HYDROGRAPHIC REGION, BRAZIL |
title_short |
ASSESSMENT OF HYDROLOGICAL MASS LOSSES IN THE NORTHEAST ATLANTIC EASTERN HYDROGRAPHIC REGION, BRAZIL |
title_full |
ASSESSMENT OF HYDROLOGICAL MASS LOSSES IN THE NORTHEAST ATLANTIC EASTERN HYDROGRAPHIC REGION, BRAZIL |
title_fullStr |
ASSESSMENT OF HYDROLOGICAL MASS LOSSES IN THE NORTHEAST ATLANTIC EASTERN HYDROGRAPHIC REGION, BRAZIL |
title_full_unstemmed |
ASSESSMENT OF HYDROLOGICAL MASS LOSSES IN THE NORTHEAST ATLANTIC EASTERN HYDROGRAPHIC REGION, BRAZIL |
title_sort |
assessment of hydrological mass losses in the northeast atlantic eastern hydrographic region, brazil |
publisher |
SciELO journals |
publishDate |
2021 |
url |
https://dx.doi.org/10.6084/m9.figshare.14327695 https://scielo.figshare.com/articles/dataset/ASSESSMENT_OF_HYDROLOGICAL_MASS_LOSSES_IN_THE_NORTHEAST_ATLANTIC_EASTERN_HYDROGRAPHIC_REGION_BRAZIL/14327695 |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_relation |
https://dx.doi.org/10.1590/s1982-21702020000300013 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.14327695 https://doi.org/10.1590/s1982-21702020000300013 |
_version_ |
1766142577442029568 |