Natural superficial water storage and aquifer recharge assessment in Brazilian savanna wetland using unmanned aerial vehicle and geophysical survey
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1139/juvs-2020-0004 http://hdl.handle.net/11449/199358 |
Resumo: | Human pressure on the water resources provided by natural isolated wetlands has intensified in Brazil due to an increase in agricultural land equipped with irrigation. However, the amount of water stored in these areas and its contribution to aquifer recharge is unknown. This study aimed to quantify the amount of water that can be retained in a natural wetland and to propose a model of groundwater recharge. We used remote sensing techniques involving unmanned aerial vehicle to map the wetland and highlight its internal morphology, using a red-green-blue orthomosaic and a digital surface model. The 2-D inversion and a pseudo-3-D model from electrical resistivity tomography data were used to visualize the subsurface structures and hydrologic flow paths. The wetland is a reservoir storing up to 416.996 m3 of water during the rainy months. Distinct internal compartments characterize the wetland topography and different water-volume storage, lower in the border and higher in the center. A leakage point connects surface water to groundwater through direct vertical flow, which constitutes the aquifer recharge zone. Remotely sensed very high-resolution images allied with geophysical techniques allowed complete surface and subsurface imaging and offered visual tools that contributed to understanding the hydrodynamics of the wetland. |
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Natural superficial water storage and aquifer recharge assessment in Brazilian savanna wetland using unmanned aerial vehicle and geophysical surveyAerial photogrammetryHydrodynamicsHydropedologyResistivityTropical wetlandsWater resourcesHuman pressure on the water resources provided by natural isolated wetlands has intensified in Brazil due to an increase in agricultural land equipped with irrigation. However, the amount of water stored in these areas and its contribution to aquifer recharge is unknown. This study aimed to quantify the amount of water that can be retained in a natural wetland and to propose a model of groundwater recharge. We used remote sensing techniques involving unmanned aerial vehicle to map the wetland and highlight its internal morphology, using a red-green-blue orthomosaic and a digital surface model. The 2-D inversion and a pseudo-3-D model from electrical resistivity tomography data were used to visualize the subsurface structures and hydrologic flow paths. The wetland is a reservoir storing up to 416.996 m3 of water during the rainy months. Distinct internal compartments characterize the wetland topography and different water-volume storage, lower in the border and higher in the center. A leakage point connects surface water to groundwater through direct vertical flow, which constitutes the aquifer recharge zone. Remotely sensed very high-resolution images allied with geophysical techniques allowed complete surface and subsurface imaging and offered visual tools that contributed to understanding the hydrodynamics of the wetland.Department of Geology Universidade Estadual Paulista (UNESP-São Paulo State University), Av. 24A, 1515, Bela VistaInstituto de Estudos Sócio-Ambiental (IESA) Universidade Federal Goiás (UFG), Campus SamambaiaLaboratoire PROTEE Université de Toulon, Avenue de l’UniversitéDepartment of Geology Universidade Estadual Paulista (UNESP-São Paulo State University), Av. 24A, 1515, Bela VistaUniversidade Estadual Paulista (Unesp)Universidade Federal Goiás (UFG)Université de ToulonFurlan, Lucas Moreira [UNESP]Rosolen, Vania [UNESP]Salles, JephersonMoreira, César Augusto [UNESP]Ferreira, Manuel EduardoBueno, Guilherme TaitsonDe Sousa Coelho, Carla Vanessa [UNESP]Mounier, Stéphane2020-12-12T01:37:36Z2020-12-12T01:37:36Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article224-244http://dx.doi.org/10.1139/juvs-2020-0004Journal of Unmanned Vehicle Systems, v. 8, n. 3, p. 224-244, 2020.2291-3467http://hdl.handle.net/11449/19935810.1139/juvs-2020-00042-s2.0-8509052376290868573123910800000-0002-6949-6679Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Unmanned Vehicle Systemsinfo:eu-repo/semantics/openAccess2021-10-22T13:22:11Zoai:repositorio.unesp.br:11449/199358Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-22T13:22:11Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Natural superficial water storage and aquifer recharge assessment in Brazilian savanna wetland using unmanned aerial vehicle and geophysical survey |
title |
Natural superficial water storage and aquifer recharge assessment in Brazilian savanna wetland using unmanned aerial vehicle and geophysical survey |
spellingShingle |
Natural superficial water storage and aquifer recharge assessment in Brazilian savanna wetland using unmanned aerial vehicle and geophysical survey Furlan, Lucas Moreira [UNESP] Aerial photogrammetry Hydrodynamics Hydropedology Resistivity Tropical wetlands Water resources |
title_short |
Natural superficial water storage and aquifer recharge assessment in Brazilian savanna wetland using unmanned aerial vehicle and geophysical survey |
title_full |
Natural superficial water storage and aquifer recharge assessment in Brazilian savanna wetland using unmanned aerial vehicle and geophysical survey |
title_fullStr |
Natural superficial water storage and aquifer recharge assessment in Brazilian savanna wetland using unmanned aerial vehicle and geophysical survey |
title_full_unstemmed |
Natural superficial water storage and aquifer recharge assessment in Brazilian savanna wetland using unmanned aerial vehicle and geophysical survey |
title_sort |
Natural superficial water storage and aquifer recharge assessment in Brazilian savanna wetland using unmanned aerial vehicle and geophysical survey |
author |
Furlan, Lucas Moreira [UNESP] |
author_facet |
Furlan, Lucas Moreira [UNESP] Rosolen, Vania [UNESP] Salles, Jepherson Moreira, César Augusto [UNESP] Ferreira, Manuel Eduardo Bueno, Guilherme Taitson De Sousa Coelho, Carla Vanessa [UNESP] Mounier, Stéphane |
author_role |
author |
author2 |
Rosolen, Vania [UNESP] Salles, Jepherson Moreira, César Augusto [UNESP] Ferreira, Manuel Eduardo Bueno, Guilherme Taitson De Sousa Coelho, Carla Vanessa [UNESP] Mounier, Stéphane |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal Goiás (UFG) Université de Toulon |
dc.contributor.author.fl_str_mv |
Furlan, Lucas Moreira [UNESP] Rosolen, Vania [UNESP] Salles, Jepherson Moreira, César Augusto [UNESP] Ferreira, Manuel Eduardo Bueno, Guilherme Taitson De Sousa Coelho, Carla Vanessa [UNESP] Mounier, Stéphane |
dc.subject.por.fl_str_mv |
Aerial photogrammetry Hydrodynamics Hydropedology Resistivity Tropical wetlands Water resources |
topic |
Aerial photogrammetry Hydrodynamics Hydropedology Resistivity Tropical wetlands Water resources |
description |
Human pressure on the water resources provided by natural isolated wetlands has intensified in Brazil due to an increase in agricultural land equipped with irrigation. However, the amount of water stored in these areas and its contribution to aquifer recharge is unknown. This study aimed to quantify the amount of water that can be retained in a natural wetland and to propose a model of groundwater recharge. We used remote sensing techniques involving unmanned aerial vehicle to map the wetland and highlight its internal morphology, using a red-green-blue orthomosaic and a digital surface model. The 2-D inversion and a pseudo-3-D model from electrical resistivity tomography data were used to visualize the subsurface structures and hydrologic flow paths. The wetland is a reservoir storing up to 416.996 m3 of water during the rainy months. Distinct internal compartments characterize the wetland topography and different water-volume storage, lower in the border and higher in the center. A leakage point connects surface water to groundwater through direct vertical flow, which constitutes the aquifer recharge zone. Remotely sensed very high-resolution images allied with geophysical techniques allowed complete surface and subsurface imaging and offered visual tools that contributed to understanding the hydrodynamics of the wetland. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-12T01:37:36Z 2020-12-12T01:37:36Z 2020-01-01 |
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 |
http://dx.doi.org/10.1139/juvs-2020-0004 Journal of Unmanned Vehicle Systems, v. 8, n. 3, p. 224-244, 2020. 2291-3467 http://hdl.handle.net/11449/199358 10.1139/juvs-2020-0004 2-s2.0-85090523762 9086857312391080 0000-0002-6949-6679 |
url |
http://dx.doi.org/10.1139/juvs-2020-0004 http://hdl.handle.net/11449/199358 |
identifier_str_mv |
Journal of Unmanned Vehicle Systems, v. 8, n. 3, p. 224-244, 2020. 2291-3467 10.1139/juvs-2020-0004 2-s2.0-85090523762 9086857312391080 0000-0002-6949-6679 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Unmanned Vehicle Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
224-244 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799964587374673920 |