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Paul Andrés Muñoz Pauta |
About:
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Paul Muñoz received the civil engineering degree from the University of Cuenca, Cuenca, Ecuador, in 2015, and the M.Sc. degree in water resources engineering from the Katholieke Universiteit Leuven, Leuven, Belgium and Vrije Universiteit Brussel, Brussels, Belgium, in 2018. He is currently working toward the Ph.D. degree in water resources in the University of Cuenca. His research interests include the use of artificial intelligence for real-time hydrological applications such as flood and drought forecasting, the use of remote sensing products for retrieving reliable precipitation information, and the evaluation of high-resolution technologies for punctual estimation of precipitation. Paul is a selected member of the young scientists programme from Integrated Research on Disaster Risk (IRDR), China. He has been awarded with several scholarships including the VLIR-UOS Award Scholarship to study in Belgium, and recently, a 2-year research grant from the German Academic Exchange Service to complement his doctoral studies at the Philipps-University Marburg in Germany.
Lines of investigation:
Hydroinfromatics; Hydrometeorology
Master’s Thesis
Flash-flood forecast modelling in a mountain catchment based on the Random Forest algorithm.
Publications.
- Muñoz, P., Orellana-Alvear, J., Célleri, R. (2021). Application of a Machine Learning Technique for Developing Short-Term Flood and Drought Forecasting Models in Tropical Mountainous Catchments. In Integrated Research on Disaster Risks (pp. 11-35). Springer, Cham.
- Muñoz, D. F., Muñoz, P., Alipour, A., Moftakhari, H., Moradkhani, H., Mortazavi, B. (2021). Fusing multi-source data to estimate the effects of urbanization, sea level rise and hurricane impacts on longterm wetland change dynamics. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
- Contreras P, Orellana-Alvear J, Muñoz P, Bendix J, Célleri R. Influence of Random Forest Hyperparameterization on Short-Term Runoff Forecasting in an Andean Mountain Catchment. Atmosphere. 2021; 12(2):238.
- Muñoz, P., Orellana-Alvear, J., Bendix, J., Célleri, R. (2020). Comparison of Machine Learning Techniques Powering Flood Early Warning Systems. Application to a catchment located in the Tropical Andes of Ecuador. In EGU General Assembly Conference Abstracts (p. 4243).
- Orellana-Alvear, J., Célleri, R., Rollenbeck, R., Muñoz, P., Contreras, P., Bendix, J. (2020). Assessment of Native Radar Reflectivity and Radar Rainfall Estimates for Discharge Forecasting in Mountain Catchments with a Random Forest Model. Remote Sensing, 12(12), 1986.
- Muñoz, P., Orellana-Alvear, J., Willems, P., Célleri, R. (2019). Short-term Extreme Flow Forecasting in an Tropical Andean Mountain Catchment—Development of a Step-Wise Methodology Based on the Random Forest Algorithm. In Geophysical Research Abstracts (Vol. 21).
- Muñoz, P.; Orellana-Alvear, J.; Willems, P.; Célleri, R. Flash-Flood Forecasting in an Andean Mountain Catchment—Development of a Step-Wise Methodology Based on the Random Forest Algorithm. Water 2018, 10, 1519.
- Muñoz, P.; Célleri, R.; Feyen, J. Effect of the Resolution of Tipping- Bucket Rain Gauge and Calculation Method on Rainfall Intensities in an Andean Mountain Gradient. Water 2016, 8, 534.
More details are in my CV.