Improving multi-technique monitoring using Sentinel-1 and Cosmo-SkyMed data and upgrading groundwater model capabilities
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Título: | Improving multi-technique monitoring using Sentinel-1 and Cosmo-SkyMed data and upgrading groundwater model capabilities |
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Autor/es: | Ezquerro Martín, Pablo | Tomás, Roberto | Béjar Pizarro, Marta | Fernández-Merodo, José Antonio | Guardiola-Albert, Carolina | Staller, Alejandra | Sánchez-Sobrino, José Antonio | Herrera García, Gerardo |
Grupo/s de investigación o GITE: | Ingeniería del Terreno y sus Estructuras (InTerEs) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ingeniería Civil |
Palabras clave: | InSAR | Subsidence | Groundwater extraction | Aquifer management |
Área/s de conocimiento: | Ingeniería del Terreno |
Fecha de publicación: | 2-nov-2019 |
Editor: | Elsevier |
Cita bibliográfica: | Science of The Total Environment. 2020, 703: 134757. doi:10.1016/j.scitotenv.2019.134757 |
Resumen: | Aquifer-systems have become a strategic source of fresh water in the present climatic conditions, especially under stress in arid regions like the Iberian Mediterranean Arc. Understanding the behavior of groundwater reservoirs is crucial to their well-management and mitigation of adverse consequences of overexploitation. In this work, we use space geodetic measurements from satellite interferometric synthetic aperture radar (InSAR) and Global Positioning System (GPS) data, covering the period 2011–2017, to predict and validate the ground surface displacement over the fastest subsiding basin due to groundwater withdrawal in Europe (>10 cm/year). The 2D decomposition of InSAR displacements from Cosmo-SkyMed and Sentinel-1 satellites allows us to detect horizontal deformation towards the basin center, with a maximum displacement of 1.5 cm/year. InSAR results were introduced in a newly developed methodology for aquifer system management to estimate unknown pumping rates for the 2012–2017 period. This study illustrates how the combination of InSAR data, groundwater flow and deformation models can be used to improve the aquifer-systems sustainable management. |
Patrocinador/es: | This work was supported by the Spanish Ministry of Science, Innovation and Universities (MICINN), Spain; the State Agency of Research (AEI), Spain; and European Funds for Regional Development (FEDER), under projects AQUARISK (ESP2013-47780-C2-2-R), TEMUSA (TEC2017-85244-C2-1-P) and STAR-EO (TIN2014-55413-C2-2-P). First author shows gratitude for PhD student contract BES-2014-069076. A first version of this work was written during the research stay of first and second authors in the Università degli Studi di Firenze supported by the Spanish Ministry of Education, Culture and Sport, under fellowships EEBB-I-18-13014 and PRX17/00439, respectively. |
URI: | http://hdl.handle.net/10045/99208 |
ISSN: | 0048-9697 (Print) | 1879-1026 (Online) |
DOI: | 10.1016/j.scitotenv.2019.134757 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2019 Elsevier B.V. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1016/j.scitotenv.2019.134757 |
Aparece en las colecciones: | INV - INTERES - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2019_Ezquerro_etal_SciTotEnv_preprint.pdf | Preprint (acceso abierto) | 2,24 MB | Adobe PDF | Abrir Vista previa |
2019_Ezquerro_etal_SciTotEnv_InPress.pdf | In Press (acceso restringido) | 8,46 MB | Adobe PDF | Abrir Solicitar una copia |
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