OJMH  Vol.3 No.2 , April 2013
Weather Radar Data and Distributed Hydrological Modelling: An Application for Mexico Valley
The frequent occurrence of exceptionally very heavy rainfall in Mexico during the summer causes flash floods in many areas and major economic losses. As a consequence, a significant part of the annual government budget is diverted to the reconstruction of the disasters caused by floods every year, resulting hold up in the country development. A key element to mitigate the flash flood hazards is the implementation of an early warning system with the ability to process the necessary information in the shortest possible time, in order to increase structural and non-structural resilience in flood prone regions. The real-time estimation of rainfall is essential for the implementation of such systems and the use of remote sensing instruments that feed the operational rainfall-runoff hydrological models is becoming of increasing importance worldwide. However, in some countries such as Mexico, the application of such technology for operational purposes is still in its infancy. Here the implementation of an operational hydrological model is described for the Mixcoac river basin as part of the non-structural measures that can be applied for intense precipitation events. The main goal is to examine the feasibility of the use of remote sensing instruments and establish a methodology to predict the runoff in real time in urban river basins with complex topography, to increase the resilience of the areas affected by annual floods. The study takes data from weather radar operated by the National Meteorological Service of Mexico, as input to a distributed hydrological model. The distributed unit hydrograph model methodology is used in order to assess its feasibility in urban experimental basin. The basic concepts underlying the model, as well as calibration and validation are discussed. The results demonstrate the feasibility of using weather radar data for modeling rainfall-runoff process with distributed parameter models for urban watersheds. A product resulting from this study was the development of software Runoff Forecast Model (ASM), for application in distributed hydrological models with rainfall data in real time in watersheds with complex terrain, which are usually found in Mexico.

Cite this paper
B. Méndez-Antonio, E. Caetano, G. Soto-Cortés, F. Rivera-Trejo, R. Carvajal Rodríguez and C. Watts, "Weather Radar Data and Distributed Hydrological Modelling: An Application for Mexico Valley," Open Journal of Modern Hydrology, Vol. 3 No. 2, 2013, pp. 79-88. doi: 10.4236/ojmh.2013.32011.

[1]   J. Soussan and I. Burton, “Adapt and Thrive: Combining Adaptation to Climate Change, Disaster Mitigation, and Natural Resources Management in a New Approach to the Reduction of Vulnerability and Poverty,” UNDP Expert Group Meeting, Integrating Disaster Reduction with Adaptation to Climate Change, Havana, 17-19 June 2002, pp. 28-44.

[2]   Undp Expert Group Meeting, “A Climate Risk Management Approach to Disaster Reduction and Adaptation to Climate Change. Integrating Disaster Reduction with Adaptation to Climate Change,” Undp Expert Group Meeting, Havana, 17-19 June 2002, 234 p.

[3]   UIP and UNISDR, “Disaster Risk Reduction: An Instrument for Achieving the Millennium Development Goals,” Advocacy Kit for Parliamentarians, Inter-Parliamentary Union, Geneva, 2010.

[4]   K. J. Beven, “Distributed Models,” In: M. G. Anderson and T. P. Burt, Eds., Hydrological Forecasting, John Wiley & Sons Ltd., Chichester, 1985, pp. 405-435.

[5]   M. Smith, “NOAA Technical Report NWS 45,” National Oceanic and Atmospheric Administration, Boulder, 2004, p. 62.

[6]   V. P. Singh and D. A. Woolhiser, “Mathematical Modelling of Watershed Hydrology,” Journal of Hydrologic Engineering, Vol. 7, No. 4, 2002, pp. 270-292. doi:10.1061/(ASCE)1084-0699(2002)7:4(270)

[7]   J. M. Faures, D. C. Goodrich, D. A Woolhiser and S. Sorooshian, “Impact of Small-Scale Rainfall Variability on Runoff Modeling,” Journal of Hydrology, Vol. 173, No. 1-4, 1995, pp. 309-326. doi:10.1016/0022-1694(95)02704-S

[8]   J. Morin, D. Rosenfeld and E. Amitai, “Radar Rain Field Evaluation and Possible Use of Its High Temporal and Spatial Resolution for Hydrological Purposes,” Journal of Hydrology, Vol. 172, No. 1-4, 1995, pp. 275-292. doi:10.1016/0022-1694(95)02700-Y

[9]   D. Guichard, R. García, F. Francés and R. Domínguez, “Influencia de la Variabilidad Espacio-Temporal de la Lluvia Mediterránea en la Respuesta Hidrológica en Cuencas Pequenas y Medianas,” XXI Congreso Latinoamericano de Hidráulica, Sao Paulo, 2004.

[10]   E. B. Vieux, “Distributed Hydrologic Model Using GIS,” Kluwer Academic Publisher, Norwell, Vol. 38, 2001, p. 293.

[11]   F. Rivera-Trejo, G. Soto-Cortés and B. Méndez-Antonio, “The 2007 Flood in Tabasco, Mexico: An Integral Analysis of a Devastating Phenomenon,” International Journal of River Basin Management, Vol. 8, No. 3-4, 2010, pp. 255-267. doi:10.1080/15715124.2010.508746

[12]   V. Magana, J. Pérez and M. Méndez, “Diagnosis and Prognosis of Extreme Precipitation Events in the Mexico City Basin,” Geofísica Internacional, Vol. 41, No. 2, 2003, pp. 247-259.

[13]   R. E. Horton, “The Role of Infiltration in the Hydrologic Cycle,” Eos Transactions, Vol. 14, No. 1, pp. 446-460.

[14]   M. Sivapalan, K. Beven and E. Wood, “On Hydrologic Similarity 2. A Scaled Model of Storm Runoff Production,” Water Resources Research, Vol. 23, No. 12, 1987, pp. 2266-2278. doi:10.1029/WR023i012p02266

[15]   S. M. Jay, “Comparison of Distributed Versus Lumped Hydrologic Simulation Models Using Stationary and Moving Storm Events Applied to Small Synthetic Rectangular Basins and an Actual Watershed Basin,” Ph.D. Dissertation, The University of Texas, Arlington, 2007, p. 419.

[16]   B. Lastoria, “Hydrological Processes on the Land Surface: A Survey of Modeling Approaches,” Universidad de Trento, Trento, p. 60.

[17]   J. Vélez, “Desarrollo de un Modelo Hidrológico Conceptual y Distribuido Orientado a la Simulación de Crecidas,” Ph.D. Thesis Dissertation, Universidad Politécnica de Valencia, Valencia, 2001, p. 266.

[18]   B. Méndez-Antonio, R. Domínguez, G. Soto-Cortés, F. Rivera-Trejo, V. Maga?a and E. Caetano, “Radars, an Alternative in Hydrological Modeling. Lumped Model,” Atmósfera, Vol. 24, No. 2, 2011, pp. 157-171.

[19]   V. P. Singh and D. K. Frevert, “Mathematical Models of Large Watershed Hydrology,” Water Resources Publications, Highlands Ranch, 2002.

[20]   V. M. Ponce and R. H. Hawkins, “Runoff Curve Number: Has It Reached Maturity?” Journal of Hydrologic Engineering, Vol. 1, No.1, 1996, pp. 11-19. doi:10.1061/(ASCE)1084-0699(1996)1:1(11)

[21]   F. Aparicio, “Fundamentos de Hidrología de Superficie,” Editor Limusa, México, 1994, p. 305.

[22]   US Army Corps of Engineers, “Hydrologic Modeling System HEC-HMS, User’s Manual, V. 2.1,” Hydrologic Engineering Center, 2001, p. 178.

[23]   R. M. Domínguez and S. J. Gracia, “Manual de Diseno de Obras Civiles, Pérdidas,” Comisión Federal de Electricidad, México, 1981, p. 46.

[24]   L. K. Sherman, “Stream Flow from Rainfall by the Unit Graph Method,” Engineering News-Record, Vol. 108, 1932, pp. 501-505.

[25]   D. W. Kull and A. D. Feldman, “Evolution of Clark’s Unit Graphs Method to Spatially Distributed Runoff,” Journal of Hydrologic Engineering, Vol. 3, No. 1, 1998, pp. 9-19. doi:10.1061/(ASCE)1084-0699(1998)3:1(9)

[26]   D. R. Maidment, “Developing a Spatially Distributed Unit Hydrograph by Using GIS,” Proceeding of HydroGIS’93, IAHS Publication, Wallingford, No. 211, 1993, pp. 181-192.

[27]   B. P. Saghafian, P. Julien and H. Rajaie, “Runoff Hydrograph Simulation Based on Time Variable Isochrone Technique,” Journal of Hydrology, Vol. 261, No. 1-4, 2002, pp. 193-203. doi:10.1016/S0022-1694(02)00007-0

[28]   M. V. Ponce, “Engineering Hydrology: Principles and Practices,” Prentice Hall, Upper Saddle River, 1996, p. 640.

[29]   R. M. Domínguez, G. E. Garduno, B. Méndez-Antonio, R. Mendoza, J. M. L. Arganis and E. E. Carrizosa, “Manual del Modelo Para Pronóstico de Escurrimiento. Instituto de Ingeniería,” Universidad Nacional Autónoma de México, México DF, 2008, p. 101.

[30]   http://aplicaciones.iingen.unam.mx/ConsultasSPII/Buscarpublicacion.aspx

[31]   Cenapred, “Características e Impacto Socioeconómico de los Principales Desastre Ocurridos en la República Mexicana en el Ano 2008,” Secretaría de Gobernación, Sistema Nacional de Protección Civil y Cenapred, 2008, p. 368.