{"id":1550,"date":"2023-05-11T08:36:55","date_gmt":"2023-05-11T08:36:55","guid":{"rendered":"https:\/\/sarai.igme.es\/?p=1550"},"modified":"2023-05-11T08:36:56","modified_gmt":"2023-05-11T08:36:56","slug":"presentacion-del-poster-forecasting-deformation-triggered-by-groundwater-extraction-using-ps-insar-time-series-applying-machine-learning-and-statistical-models-in-the-madrid-aquifer-spain","status":"publish","type":"post","link":"https:\/\/sarai.igme.es\/index.php\/presentacion-del-poster-forecasting-deformation-triggered-by-groundwater-extraction-using-ps-insar-time-series-applying-machine-learning-and-statistical-models-in-the-madrid-aquifer-spain\/","title":{"rendered":"Presentaci\u00f3n del poster \u201cForecasting deformation triggered by groundwater extraction using PS-InSAR Time Series. Applying machine learning and statistical models in the Madrid Aquifer (SPAIN)\u201d en la EGU 2023"},"content":{"rendered":"\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/sarai.igme.es\/wp-content\/uploads\/presentacion_poster_sara_jhonatan-1024x768.jpg\" alt=\"presentacion del poster de Jhonatan Rivera\" class=\"wp-image-1551\" srcset=\"https:\/\/sarai.igme.es\/wp-content\/uploads\/presentacion_poster_sara_jhonatan-1024x768.jpg 1024w, https:\/\/sarai.igme.es\/wp-content\/uploads\/presentacion_poster_sara_jhonatan-300x225.jpg 300w, https:\/\/sarai.igme.es\/wp-content\/uploads\/presentacion_poster_sara_jhonatan-150x113.jpg 150w, https:\/\/sarai.igme.es\/wp-content\/uploads\/presentacion_poster_sara_jhonatan-768x576.jpg 768w, https:\/\/sarai.igme.es\/wp-content\/uploads\/presentacion_poster_sara_jhonatan-1536x1152.jpg 1536w, https:\/\/sarai.igme.es\/wp-content\/uploads\/presentacion_poster_sara_jhonatan-500x375.jpg 500w, https:\/\/sarai.igme.es\/wp-content\/uploads\/presentacion_poster_sara_jhonatan.jpg 2000w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Jhonatan Rivera durante la presentaci\u00f3n de su poster en la sesi\u00f3n NH6.3 \u201cSAR remote sensing for natural and human-induced hazard applications\u201d EGU2023<\/em><\/figcaption><\/figure>\n\n\n\n<p>El d\u00eda 26 de abril, Jhonatan Rivera Rivera present\u00f3 su primera contribuci\u00f3n cient\u00edfica en el marco del proyecto SARAI. En nuestro trabajo, aplicamos algoritmos de Machine Learning (ML) y Deep Learning (DL) para el pron\u00f3stico de series temporales de deformaci\u00f3n (DTS) asociada a la subsidencia por extracci\u00f3n de agua subterr\u00e1nea, a partir de una base de datos que contiene: una variable binar\u00eda relacionada con la extracci\u00f3n de agua subterr\u00e1nea en el acu\u00edfero el\u00e1stico de Madrid y valores previos de la DTS filtrada de acuerdo con Savitzky Golay, 1964.<\/p>\n\n\n\n<p>El filtro permite que algoritmos sencillos e interpretables de ML como la regresi\u00f3n lineal arrojen resultados similares a los complejos algoritmos de DL. El tuneado de los algoritmos indica que los hiperpar\u00e1metros son similares cuanto m\u00e1s similares sean las DTS, promoviendo el clustering de DTS en la optimizaci\u00f3n del modelado de grandes bases de datos como la planteada en SARAI.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Jhonatan Rivera Rivera present\u00f3 su primera contribuci\u00f3n cient\u00edfica en el marco del proyecto SARAI.<\/p>\n","protected":false},"author":1,"featured_media":1551,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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