Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)
Empreu sempre aquest identificador per citar o enllaçar aquest ítem
http://hdl.handle.net/10045/51665
Títol: | Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain) |
---|---|
Autors: | Bonì, Roberta | Herrera García, Gerardo | Meisina, Claudia | Notti, Davide | Béjar Pizarro, Marta | Zucca, Francesco | González, Pablo J. | Palano, Mimmo | Tomás, Roberto | Fernández Torres, José | Fernández-Merodo, José Antonio | Mulas de la Peña, Joaquín | Aragón, Ramón | Guardiola-Albert, Carolina | Mora, Oscar |
Grups d'investigació o GITE: | Ingeniería del Terreno y sus Estructuras (InTerEs) |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Ingeniería Civil |
Paraules clau: | Multi-sensor | Advanced DInSAR analysis | Land subsidence recognition | Alto Guadalentín Basin |
Àrees de coneixement: | Ingeniería del Terreno |
Data de publicació: | 12-de novembre-2015 |
Editor: | Copernicus Publications |
Citació bibliogràfica: | Bonì, R., Herrera, G., Meisina, C., Notti, D., Béjar-Pizarro, M., Zucca, F., González, P. J., Palano, M., Tomás, R., Fernández, J., Fernández-Merodo, J. A., Mulas, J., Aragón, R., Guardiola-Albert, C., and Mora, O.: Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain), Proc. IAHS, 372, 45-48, doi:10.5194/piahs-372-45-2015, 2015 |
Resum: | Multi-sensor advanced DInSAR analyses have been performed and compared with two GPS station measurements, in order to evaluate the land subsidence evolution in a 20-year period, in the Alto Guadalentín Basin where the highest rate of man-induced subsidence (> 10 cm yr−1) of Europe had been detected. The control mechanisms have been examined comparing the advanced DInSAR data with conditioning and triggering factors (i.e. isobaths of Plio-Quaternary deposits, soft soil thickness and piezometric level). |
Patrocinadors: | This work is financially supported by the DORIS project (Ground Deformation Risk Scenarios: an Advanced Assessment Service) funded by the EC-GMES-FP7 initiative (Grant Agreement 423 no. 242212). ALOS PALSAR images were provided by the project JAXA-1209. Part of this work is supported by the Spanish Government under project TEC2011-28201-C02-02 and TIN2014-55413-C2-2-P and by the project 15224/PI/10 from the Regional Agency of Science and Technology in Murcia. Additional funding was obtained from the Spanish Research Program through the projects AYA2010-17448, ESP2013-47780-C2-1-R and ESP2013-47780-C2-2-Rand by the Ministry of Education, Culture and Sport through the project PRX14/00100. |
URI: | http://hdl.handle.net/10045/51665 |
ISSN: | 2199-899X |
DOI: | 10.5194/piahs-372-45-2015 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | Published by Copernicus Publications on behalf of the International Association of Hydrological Sciences. © Author(s) 2015. CC Attribution 3.0 License |
Revisió científica: | si |
Versió de l'editor: | http://dx.doi.org/10.5194/piahs-372-45-2015 |
Apareix a la col·lecció: | INV - INTERES - Artículos de Revistas Investigacions finançades per la UE |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
---|---|---|---|---|
2015_Boni_etal_ProcIAHS.pdf | 1,63 MB | Adobe PDF | Obrir Vista prèvia | |
Aquest ítem està subjecte a una llicència de Creative Commons Llicència Creative Commons