Hydrologist & Civil Engineer

Diego Urrea Méndez

PhD Student in Civil Engineering | Extreme Events Researcher | Specialist in Multivariate Statistical Modeling and Compound Hydrological Events | Instituto de Hidráulica Ambiental - Universidad de Cantabria

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About Me

I am a Civil Engineer graduated from the Escuela Colombiana de Ingeniería Julio Garavito, and hold a Master's degree in Integrated Water Systems Management from the Universidad de Cantabria (Spain, 2019-2020), where I received recognition as the student with the best academic record.

Since 2015, I have worked in hydraulics and hydrology consulting, taking on roles as a specialized design engineer and project coordinator in the design of hydraulic infrastructure, sanitation systems, wastewater treatment plants, road drainage, flood modeling, and vulnerability analysis.

Currently, I am developing my career as a predoctoral researcher at the Instituto de Hidráulica Ambiental (IHCantabria) at the Universidad de Cantabria. My research focuses on critical areas for multivariate and non-stationary hydrological risk management, contributing significantly to resilience and preparedness for emerging hydrological challenges.

Years of Experience

Scientific Publications

20+

Research Projects

Research Areas

📊

Multivariate Analysis

Advanced statistical modeling using copulas and extreme value theory for analyzing dependencies between multiple hydrological variables.

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🌊

Compound Flood Risk Modeling

Development of sophisticated models to assess compound flooding events considering multiple drivers and their interactions.

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📈

Non-Stationary Time Series

Analysis of non-stationary behavior in hydrological time series and its implications for climate change adaptation.

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⏱️

Multivariate Return Periods

Innovative approaches to estimating return periods for multidimensional extreme events in hydrological systems.

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🎲

Stochastic Generation Methods

Application of advanced stochastic methods for generating synthetic hydrological series and uncertainty quantification.

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🚨

Early Warning Systems

Development of robust early warning systems for flood risk management using multivariate statistical approaches.

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Recent Publications

Inundación compuesta en el estuario de Santoña: umbrales bivariados y su aplicación en alertas tempranas

(2025) Ingeniería del Agua

DOI: 10.4995/ia.2025.23025

Advancing Flood Impact Estimation: Comparing Multivariate Continuous Hydrologic-Hydraulic Models with Traditional Approaches

(2025) EGU General Assembly

DOI: 10.5194/egusphere-egu25-6833

Exploring Multivariate Return Periods: Enhancing Accuracy in Hydrological Analysis for Flood Prediction

(2025) EGU General Assembly

DOI: 10.5194/egusphere-egu24-5685

Return period of high-dimensional compound events. Part I: Conceptual framework

(2024) Hydrology and Earth System Sciences

DOI: 10.5194/hess-2024-334

Return period of high-dimensional compound events. Part II: Analysis of spatially-variable precipitation

(2024) Hydrology and Earth System Sciences

DOI: 10.5194/hess-2024-335

Estimating extreme monthly rainfall for Spain using non-stationary techniques

(2023) Hydrological Sciences Journal

DOI: 10.1080/02626667.2023.2193294

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Featured Projects

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IHCantabria Research

Leading research projects at the Instituto de Hidráulica Ambiental focusing on compound extreme events and multivariate risk assessment methodologies.

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🌍

Climate Risk Assessment

Development of advanced statistical frameworks for climate risk assessment under non-stationary conditions with applications across multiple regions.

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💻

Open Source Tools

Contributing to open-source Python and R packages for hydrological analysis, multivariate statistics, and extreme value modeling.

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Contact

Let's Collaborate

I'm always interested in collaborating on innovative research projects related to hydrology, extreme events, and statistical modeling. Whether you need expertise in multivariate analysis, compound flooding, or hydrological risk assessment, I'm open to new opportunities and challenges.

🏛️ Institution: Instituto de Hidráulica Ambiental - Universidad de Cantabria

📍 Location: Santander, Spain

📞 Phone: +34 942 20 16 16 Ext. 56221

📧 Email: dum834@alumnos.unican.es

🔬 ORCID: 0000-0001-6284-3087