{"id":152990,"date":"2021-10-25T16:22:02","date_gmt":"2021-10-25T14:22:02","guid":{"rendered":"https:\/\/ihcantabria.com\/directorio-personal\/%categoria%\/diego-armando-urrea\/"},"modified":"2024-04-25T11:42:55","modified_gmt":"2024-04-25T09:42:55","slug":"diego-armando-urrea","status":"publish","type":"directorio-personal","link":"https:\/\/ihcantabria.com\/en\/staff-directory\/diego-armando-urrea\/","title":{"rendered":"Diego Armando Urrea"},"content":{"rendered":"

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\nDIEGO ARMANDO URREA<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”Saira Semi Condensed|300|||||||” text_font_size=”20px” link_text_color=”#4893aa” vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ z_index_tablet=”0″ text_text_shadow_horizontal_length_tablet=”0px” text_text_shadow_vertical_length_tablet=”0px” text_text_shadow_blur_strength_tablet=”1px” link_text_shadow_horizontal_length_tablet=”0px” link_text_shadow_vertical_length_tablet=”0px” link_text_shadow_blur_strength_tablet=”1px” ul_text_shadow_horizontal_length_tablet=”0px” ul_text_shadow_vertical_length_tablet=”0px” ul_text_shadow_blur_strength_tablet=”1px” ol_text_shadow_horizontal_length_tablet=”0px” ol_text_shadow_vertical_length_tablet=”0px” ol_text_shadow_blur_strength_tablet=”1px” quote_text_shadow_horizontal_length_tablet=”0px” quote_text_shadow_vertical_length_tablet=”0px” quote_text_shadow_blur_strength_tablet=”1px” header_text_shadow_horizontal_length_tablet=”0px” header_text_shadow_vertical_length_tablet=”0px” header_text_shadow_blur_strength_tablet=”1px” header_2_text_shadow_horizontal_length_tablet=”0px” header_2_text_shadow_vertical_length_tablet=”0px” header_2_text_shadow_blur_strength_tablet=”1px” header_3_text_shadow_horizontal_length_tablet=”0px” header_3_text_shadow_vertical_length_tablet=”0px” header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” inline_fonts=”Open Sans Condensed” global_colors_info=”{}”]<\/p>\n

Predoctoral researcher<\/p>\n

diego.urrea@unican.es<\/a><\/p>\n

+34 942 20 16 16 Ext. 56221<\/p>\n

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\nBiography<\/p>\n

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Diego Urrea is a Civil Engineer graduated from the Escuela Colombiana de Ingenier\u00eda Julio Garavito, and holds a Master’s degree in Integrated Management of Water Systems from the University of Cantabria (Spain, 2019-2020), where he was recognized as the student with the best academic record. Since 2015, he has been involved in hydraulic and hydrological consulting, assuming roles such as specialized design engineer and project coordinator in the design of hydraulic infrastructure, sanitation systems, wastewater treatment plants, road drainage, flood modeling, and vulnerability analysis.<\/p>\n

Currently, Diego is pursuing his career as a predoctoral researcher at the Institute of Environmental Hydraulics of the University of Cantabria (IHCantabria). He began his journey at this institute as a student intern, engaging in projects related to hydrology, climate, climate change, and the development of advanced statistical models for the prediction of climatic phenomena.<\/p>\n

In his predoctoral research, Diego focuses on critical research lines for the management of multivariate and non-stationary hydrological risks. The comprehensive approach of his research allows him to significantly contribute to resilience and preparedness in the face of emerging hydrological challenges.<\/p>\n

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Research Lines<\/p>\n

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Compound Flood Risk Modeling: This approach analyzes the interaction of compound events associated with extreme rainfall in space and time, contributing to flooding in continental areas. This study is crucial for understanding how the combination of these factors can increase the severity and frequency of floods.<\/p>\n

Multivariate Analysis in Hydrology: It uses advanced statistical techniques to assess the probability of extreme hydrological events, considering multiple variables simultaneously, allowing for a more realistic estimation of the frequency and severity of floods.<\/p>\n

Non-Stationarity in Hydrological Time Series: Investigates how climate and anthropogenic changes alter the statistical properties of hydrological time series events, developing models that adapt to changes in variance and mean over time.<\/p>\n

Assessment and Prediction of Extreme Events Under Climate Change: Explores how changing climate patterns can affect the frequency and magnitude of extreme events such as floods, contributing to the planning of resilient infrastructure and adaptation strategies.<\/p>\n

Implications of Multivariate Return Period Estimation: Develops models that predict the probability of compound events considering multiple factors simultaneously, essential for impact definition.<\/p>\n

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publications<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||25px” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_padding=”25px|0px|0px|0px” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.25.0″ vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ hover_enabled=”0″ z_index_tablet=”0″ text_text_shadow_horizontal_length_tablet=”0px” text_text_shadow_vertical_length_tablet=”0px” text_text_shadow_blur_strength_tablet=”1px” link_text_shadow_horizontal_length_tablet=”0px” link_text_shadow_vertical_length_tablet=”0px” link_text_shadow_blur_strength_tablet=”1px” ul_text_shadow_horizontal_length_tablet=”0px” ul_text_shadow_vertical_length_tablet=”0px” ul_text_shadow_blur_strength_tablet=”1px” ol_text_shadow_horizontal_length_tablet=”0px” ol_text_shadow_vertical_length_tablet=”0px” ol_text_shadow_blur_strength_tablet=”1px” quote_text_shadow_horizontal_length_tablet=”0px” quote_text_shadow_vertical_length_tablet=”0px” quote_text_shadow_blur_strength_tablet=”1px” header_text_shadow_horizontal_length_tablet=”0px” header_text_shadow_vertical_length_tablet=”0px” header_text_shadow_blur_strength_tablet=”1px” header_2_text_shadow_horizontal_length_tablet=”0px” header_2_text_shadow_vertical_length_tablet=”0px” header_2_text_shadow_blur_strength_tablet=”1px” header_3_text_shadow_horizontal_length_tablet=”0px” header_3_text_shadow_vertical_length_tablet=”0px” header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

\u00a0<\/div>\n

Gomez Rave, D. V., Urrea Mendez, D. A., and Del Jesus Pe\u00f1il, M. (2024).\u00a0Understanding Compound Flooding hazard in Estuaries: Insights and Implications, EGU General Assembly 2024, Vienna, Austria, 14\u201319 Apr 2024, EGU24-6265, https:\/\/doi.org\/10.5194\/egusphere-egu24-6265<\/a>.<\/p>\n

Urrea M\u00e9ndez, D. A., V. G\u00f3mez, D., and Del Jesus Pe\u00f1il, M. (2024).\u00a0Exploring Multivariate Return Periods: Enhancing Accuracy in Hydrological Analysis for Flood Prediction\u00a0, EGU General Assembly 2024, Vienna, Austria, 14\u201319 Apr 2024, EGU24-5685, https:\/\/doi.org\/10.5194\/egusphere-egu24-5685<\/a>.<\/p>\n

Gomez Rave, D. V., Urrea M\u00e9ndez, D. A., and Del Jesus Pe\u00f1il, M. (2023).\u00a0Multivariate Probability Analysis of Compound Flooding Dynamics., EGU General Assembly 2023, Vienna, Austria, 24\u201328 Apr 2023, EGU23-12736, https:\/\/doi.org\/10.5194\/egusphere-egu23-12736<\/a>.<\/p>\n

Urrea M\u00e9ndez, D. A., G\u00f3mez Rave, D. V., and Del Jesus Pe\u00f1il, M. (2023).\u00a0The Future of Extreme Event Risk Assessment: A Look at Multivariate Return Periods in More than Three Dimensions, EGU General Assembly 2023, Vienna, Austria, 24\u201328 Apr 2023, EGU23-11828, https:\/\/doi.org\/10.5194\/egusphere-egu23-11828<\/a>.<\/p>\n

Urrea M\u00e9ndez, D., & del Jesus, M. (2023). Estimating extreme monthly rainfall for Spain using non-stationary techniques. Hydrological Sciences Journal, 68(7)<\/em>, 903\u2013919. https:\/\/doi.org\/10.1080\/02626667.2023.2193294<\/a><\/p>\n

Urrea M\u00e9ndez, D. A., (2020). Evaluaci\u00f3n de los efectos del cambio clim\u00e1tico sobre la inundaci\u00f3n en Corrales de Buelna. http:\/\/hdl.handle.net\/10902\/19716<\/a><\/p>\n