Carlos Martinez Cano

PhD fellow


Carlos Martinez Cano is a Civil Engineer with consultancy and research experience in urban water projects. He has an MSc from IHE Delft in Hydroinformatics. He works as researcher at Cinara Institute, Faculty of Engineering, University of Valle in Cali, Colombia. He has participated in international research projects under the Sixth Framework Programme "SWITCH Managing water for the City of the future" and in the cooperation agreement project "Operational Flood Forecasting Warning and Response for Multi-Scale Flood risks in Developing Cities (FORESEE)”under the Univalle and IHE Delft alliance. He also worked in the capacity-building project "Water Resources Planning through Climate Change" under the Stockholm Environment Institute-US Center and Univalle agreement. Participation in national projects in Colombia includes among others "Integrated water resources management in the rio La Vieja Catchment implementing decision support tools" . Teaching activities at Cinara Institute involve mathematical modelling in the planning and management of water resources. He currently works towards a PhD degree from IHE Delft and Delft University of Technology in the topic of "Adaptation strategies for flood control in urban areas". 


Adaptation strategies to the pressure of global change in urban drainage modelling



Alvis, F., Martinez-Cano, C., Galvis, A. (2016) “A Simple regionalisation approach as an alternative to obtain rainfall data in a tropical and ungauged Catchment”  Ingenieria y Competitividad Journal Faculty of Engineering Universidad del Valle  ISSN: 0123-3033 vol. 18, No. 1, p. 34-45, 2016.

Hong L., Corzo G., Martinez-Cano C., Mynett, A. (2013) "Self-Learning Cellular Automata for Forecasting precipitation from Radar Images” J. Hydrol. Eng., 18(2), 206¿211. doi: 10.1061/(ASCE)HE.1943-5584.0000646".Journal Of Hydrologic Engineering ISSN: 1084- 0699 ed: v.18 fasc.2 p.206 - 211 ,2013.


Martinez-Cano, C., Galvis, A., Jimenez, E. (2013). Chapter 6: Urban drainage model calibration using optimization algorithms. In: Society and Ecosystem Services. Insights water management, floods and sustainable sanitation (In Spanish). Programa editorial Universidad del Valle. ISBN: 978-958-765-068-6.


Galindo, R., Martinez-Cano, C., Sanchez, A., Vojinovic, Z., Brdjanovic, D.(2015) Selecting Optimal sustainable drainage design for urban runoff reduction. E-proceedings of the 36th IAHR World Congress 28 June- 3 July 2015 The Hague, The Netherlands

Martinez-Cano, C., Galvis, A., Castrillon, Y., Jimenez, E., Mirbaha, T., Silva, A. (2014) A quantitative and qualitative assessment of flood risks for the southern drainage system of the city of Cali ( In Spanish).XXI Seminario Nacional de Hidraulica e Hidrologia, Sociedad Colombiana de Ingenieros 25-27 de Septiembre Villa de Leyva, Colombia. 

Martinez-Cano, C., Galvis, A., Alvis, F., Werner, M. (2014) Model integration to improve an early warning system for pollution control of the Cauca river, Colombia. 11th International Conference on Hydroinformatics HIC 0214, 17-21 August New York City, USA.

Martinez-Cano, C., Toloh, B., Sanchez-Torres, A., Vojinovic, Z., Brdjanovic, D. (2014) Flood resilience assessment in urban drainage systems through multi-objective optimisation. 11th International Conference on Hydroinformatics HIC 0214, 17-21 August New York City, USA.

Galvis, A., Hurtado, I., Martinez-Cano, C., Urrego, J. (2014) Dynamic condition approach to study the self-purification capacity of Colombian water bodies case:Cauca river and Salvajina dam. 11th International Conference on Hydroinformatics HIC 0214, 17-21 August New York City, USA.

Alvis, F., Galvis, A., Martinez, C., Werner , M. (2013) Model Integration in optimizing early warning system for water quality (In Spanish). International Conference AGUA 2013: El Riesgo en la Gestion del Agua. Seminario Manejo del riesgo en el ciclo del agua. Cali, Colombia Octubre 15 al 18 de 2013. 

Fonseca, R. Corzo, G., Werner, M., Ramirez, A., Martinez, C., Galvis, A. (2013) Exploratory analysis of the disturbance in Mobile phone signals due to the presence of rainfall (In Spanish). International Conference AGUA 2013 El Riesgo en la Gestion del Agua. Seminario Manejo del riesgo en el ciclo del agua. Cali, Colombia Octubre 15 al 18 de 2013.

Fonseca, R., Corzo, G., Werner, M., Galvis A., Martinez C. (2012) Rainfall estimation by a signal attenuation analysis in mobile systems. Proc. of XV Symposium SELPER 2012 –“Earth Observation for a Green Co-developed World”. 19-23 November 2012 Cayenne French Guiana.

Martinez, C., Galvis, A., Jimenez, E. (2011) Urban drainage model calibration through an optimization algorithm(In Spanish).International Conference Ecosistemas y Sociedad: Vision, limites y aplicaciones de los servicios ecosistemicos en un mundo cambiante AGUA 2011.Seminario: Inundaciones, escasez de agua y ecosistemas: acciones frente al cambio global. 15 al 18 de Noviembre de 2011. Cali, Colombia.

Hong L., Corzo, G. Martinez, C. Mynett, A. (2010) Self-Learning Cellular Automata for forecasting precipitation from radar images. 9th International Conference on Hydroinformatics 2010. Tianjin China.

Corzo, G.A. Xuan, Y. Martinez, C. Solomatine, D. (2009) Ensemble of radar and MM5 precipitation forecast models with M5 model trees. Hydroinformatics in Hydrology, Hydrogeology and Water Resources (Proc. of Symposium JS.4 at the Joint IAHS & IAH Convention, Hyderabad, India, September 2009). IAHS Publ. 331, 2009.

Other information




In future years, economic development, urbanisation and heavy rainfall events are expected in urban areas. A major change in approaches to the management of flooding is now on-going in many countries worldwide. It has long been recognized that risk is a central consideration in providing appropriate flood protection and decision making under uncertainty. Adaptation enhances the ability to cope with flooding and to recover from flooding. Therefore, adaptation measures around the world are in process to be improved. In this process, the requirement is to take advantage of the available data and knowledge to approach adaptive measures in urban drainage systems. As a step forward, the idea to find an optimal-adaptive measure which provides flexibility is being recognized as a promising area of investigation. The main objective of this research is to contribute to decision making on adaptation strategies to flood control in urban drainage by exploring alternative principles of designing and modelling. 

Funding Source: Administrative Department of Science, Technology and Innovation COLCIENCIAS, Colombia.