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Deterministic Hydrological Model for Flood Risk Assessment of Mexico City

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Advances in Hydroinformatics

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Abstract

Mexico City is facing problems of flooding in some areas at certain times of the year, causing important losses and damages on properties and residents including some casualties. Therefore, it is important to carry out a flood risk assessment in the catchment of Mexico City and estimate damages of probable flood events. However, limited data of observed discharges and water depths in the main rivers of the city are available, and this represents an obstacle for the understanding of flooding in Mexico City. The premise of this study is that with the limited data and resources available, the catchment can be represented to an acceptable degree by the construction of a deterministic hydrological model of the Mexico City basin. The objective of the developed tool is to provide an efficient support to management of the flood processes by predicting the behavior of the catchment for different rainfall events and flood scenarios. The capability of a model based on MIKE SHE modeling system for the Mexico City catchment was evaluated by comparing the observed data and the simulation results during a year after a careful development based on the most important parameters for characterizing the processes. Significant and operational results (>0.75 for Nash Sutcliffe coefficient) have been obtained on one of the major sub-catchments of the Mexico basin. These results demonstrate the interest to implement a deterministic hydrological model for assessing flood risks in a dense urban environment where data availability is limited. The developed model can be used for assessing the risks and designing some protection measures.

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References

  1. Baró-Suárez, J., Díaz-Delgado, C., & Esteller-Alberich, M. (2007). Flood damage curves in residential and agricultural areas of Mexico. Part II: Case study in Lerma River catchment’. Ingeniería hidráulica en México, XXII(3), 71–85.

    Google Scholar 

  2. Baró-Suárez, J., Díaz-Delgado, C., Esteller-Alberich, M., & Calderón, G. (2007). Flood damage curves in residential and agricultural areas of Mexico. Part I: Methodology. Ingeniería hidráulica en México, XXII(1), 91–102.

    Google Scholar 

  3. Boyle, S., Tsanis, I., & Kanaroglou, P. (1998). Developing geographic information systems for land use impact assessment in flooding conditions. Journal of Water Resource Planning and Management, 124(2), 89–98.

    Google Scholar 

  4. Carrillo, N. (1969). The sinking of Mexico City and Proyect Texcoco. VII International Congress of Soil Mechanics, SHCP edn.

    Google Scholar 

  5. Conagua. (2012). Water Atlas of Mexico. México: Semarnat.

    Google Scholar 

  6. DHI. http://www.crwr.utexas.edu/gis/gishyd98/dhi/mikeshe/Mshemain.htm.

  7. Dominguez, R. (2000). Floodings in Mexico city, issues and proposed solutions. Revista digital universitaria, UNAM. Vol. 1, No. 20. ISSN 1607-6079, 30 September 2000.

    Google Scholar 

  8. Dutta, D., Herath, S., & Musiake, K. (2003). A mathematical model for flood loss estimation. Journal of Hydrology, 277(1–2), 24–49.

    Article  Google Scholar 

  9. Goovaerts, P. (2000). Geostatistical approaches for incorporating elevation into spatial interolation of rainfall. Journal of Hydrology, 228, 110–130.

    Google Scholar 

  10. Guinot, V., & Gourbesville, P. (2003). Calibration of physically based models: back to basics? Journal of Hydroinformatics, 5, 233–244.

    Google Scholar 

  11. Jonkman, S. N., Bočkarjovab, M., Kokc, M., & Bernardinid, P. (2008). Integrated hydrodynamic and economic modelling of flood damage in the Netherlands. Ecological Economics, 66, 77–90.

    Google Scholar 

  12. Lesser, J. M., & Cortes, M. A. (1998). The sinking of the terrain of Mexico City and its implications on the drainage system. Ingeniería hidráulica en México, Septemper–December, México.

    Google Scholar 

  13. Luege, J. L. (2012). Hydrological sustainability program. IV International Legal Colloquium on Water, Conagua, México.

    Google Scholar 

  14. Messner, F., Penning-Rowsell, E., Green, C., Meyer, V., Tunstall, S., & van der Veen, A. (2007). Evaluating flood damages: guidance and recommendations on principles and methods.

    Google Scholar 

  15. National academy of sciences. (1995). Mexico City's Water Supply: Improving the Outlook for Sustainability. Washington, D.C: National Academy Press.

    Google Scholar 

  16. Penning-Rowsell, E. C., & Chatterton, J. B. (1977). The benefits of flood alleviation. A manual of assessment techniques. London: Belhaven Technical Press.

    Google Scholar 

  17. Segond, M. L., Wheater, H., & Onof, C. (2007). The significance of spatial rainfall representation for flood runoff estimation. Journal of Hydrology, 347, 243–259.

    Google Scholar 

  18. Vazquez, R. F., Feyen, L., Feyen, J., & Refsgard, J. C. (2002). Effect of grid size on effective parameters and model performance of the MIKE SHE code. Hydrological Processes, 16(2), 355–372.

    Google Scholar 

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Acknowledgments

The authors would like to thank the Surface Water department of the National Water Commission of Mexico CONAGUA and the Institute of Geography and Statistics INEGI for the data provided for this study.

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Correspondence to Philippe Gourbesville .

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Vargas, R.B., Gourbesville, P. (2016). Deterministic Hydrological Model for Flood Risk Assessment of Mexico City. In: Gourbesville, P., Cunge, J., Caignaert, G. (eds) Advances in Hydroinformatics. Springer Water. Springer, Singapore. https://doi.org/10.1007/978-981-287-615-7_5

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