La hidrología y su papel en ingeniería del agua
Enviado: 2014-06-04
|Aceptado: 2014-07-01
|Publicado: 2014-07-31
Descargas
Palabras clave:
Ciclo Hidrológico, Hidrología, Ingeniería del Agua
Agencias de apoyo:
Resumen:
La Hidrología es una ciencia esencial en Ingeniería del Agua, la cual abarca un amplio abanico de temas de investigación que engloban los diversos estadios del agua en el ciclo Hidrológico, tanto en atmósfera, superficie y suelo. Con motivo del relanzamiento de la revista Ingeniería del Agua se presenta un breve artículo de carácter introductorio en el que se muestran algunas de la líneas de investigación actuales en Hidrología, dedicadas a lluvia, interceptación de agua por la vegetación, sensores en Hidrología, agua subterránea, entre otras. Dicha revisión no pretende ser exhaustiva, dado el tamaño limitado de este formato de publicación, sino motivar la publicación en Ingeniería del Agua de artículos dentro de la temática Hidrología.
Citas:
Ali, A., A. Amani, A. Diedhiou, and T. Lebel, 2005. Rainfall Estimation in the Sahel. Part II: Evaluation of Rain Gauge Networks in the CILSS Countries and Objective Intercomparison of Rainfall Products. Journal of Applied Meteorology 44, 1707- 1722. https://doi.org/10.1175/JAM2305.1
Allen, E.B., Rittenour, T.M., DeRose, R.J., Bekker, M.F., Kjelgren, R., Buckley, B.M. 2013. A tree-ring based reconstruction of Logan River streamflow, northern Utah. Water Resources Research, vol.49(12) 8579-8588. https://doi.org/10.1002/2013WR014273
Barrios, M., Francés, F. 2011. Spatial scale effect on the upper soil effective parameters of a distributed hydrological model. Hydrological Processes, 26 (7), 1022–1033. https://doi.org/10.1002/hyp.8193
Bear, J. 1972. Dynamics of fluids in porous media. Elsevier, Nueva York.
Bear, J., Cheng, A.H.-D. 2010. Modelling groundwater flow and contaminant transport. Theory and Applications of Transport in Porous Media, Vol. 23, Springer. https://doi.org/10.1007/978-1-4020-6682-5
Benito, G., Lang, M., Barriendos, M,.Llasat, M.-C., Frances, F., Ouarda, T., Thorndycraft, V., Enzel, Y, Bárdossy, A., Coeur, D., Bobee, B. 2004. Use of systematic, paleoflood and historical data for the improvement of flood risk estimation. Natural Hazards, 31, 623–643. https://doi.org/10.1023/B:NHAZ.0000024895.48463.eb
Brázdil, R. Glaser, Ch. Pfister, P. Dobrovolný, J.-M. Antoine, M. Barriendos, D. Camuffo, M. Deutsch, S. Enzi, E. Guidoboni, O. Kotyza, F. Sanchez Rodrigo 1999. Flood events of selected European Rivers in the sixteenth century. Climatic Change, 43, 239–285. https://doi.org/10.1023/A:1005550401857
Brázdil, R., Kundzewicz, Z.W., Benito, G. 2006. Historical hydrology for studying flood risk in Europe. Hydrological Sciences Journal, 51, 739–764. https://doi.org/10.1623/hysj.51.5.739
Bussi, G., Rodríguez-Lloveras, X., Francés, F., Benito, G., Sánchez-Moya, Y., Sopeña, A. 2013. Sediment yield model implementation based on check dam infill stratigraphy in a semiarid Mediterranean catchment. Hydrology and Earth System Sciences, 17, 3339–3354. https://doi.org/10.5194/hess-17-3339-2013
Castro-Orgaz, O., Giráldez, J.V., Robinson, N. 2012. Second order two-dimensional solution for the drainage of recharge based on Picard’s iteration technique: a generalized Dupuit-Forchheimer equation. Water Resources Research 48, W06516, doi:10.1029/2011WR011751.
Castro-Orgaz, O., Giráldez, J.V., Mateos, L. 2013. Second-order shallow flow equation for anisotropic aquifers. Journal of Hydrology 501, 183-185. https://doi.org/10.1016/j.jhydrol.2013.08.011
Crockford, R. y Richardson, D. 2000. Partitioning of rainfall into throughfall, stemflow and interception: effect of forest type, ground cover and climate. Hydrological Processes, 14, 2903-2920. https://doi.org/10.1002/1099-1085(200011/12)14:16/17<2903::AID-HYP126>3.3.CO;2-Y
Deming, D. 2002. An introduction to hydrogeology. McGraw-Hill, Nueva York.
De Lima MIP, Grasman J. 1999. Multifractal analysis of 15-min and daily rainfall from a semi-arid region in Portugal. Journal of Hydrology 220, 1-11. https://doi.org/10.1016/S0022-1694(99)00053-0
Gash, J.H.C. y Morton, A.J., 1978. An application of the Rutter model to the estimation of the interception loss from Thetford forest. Journal of Hydrology, 90, 1-9. https://doi.org/10.1016/0022-1694(78)90131-2
Gerrits, M. 2010. The role of interception in the hydrological cycle. PhD Dissertation. Delft University of Technology. VSSD, Delft, the Netherlands.
Guiot, J. 1982. Response functions. In M.K. Hughes, P.M. Nelly, J.R. Pilcher and V.C. La Marche, Jr. Climate for tree rings. Cambridge University Press, Cambridge, 38-45.
Hurrell, J.W., van Loon, H. 1997. Decadal variations in climate associated with the North Atlantic Oscillation. Climatic Change 36, 301-326. https://doi.org/10.1023/A:1005314315270
England, J.F., Jarrett, R.D., Salas, J.D. 2003. Data-based comparisons of moments estimators using historical and paleoflood data. Journal of Hydrology, 278, 172-196. https://doi.org/10.1016/S0022-1694(03)00141-0
Estévez, J., Gavilán, P., Giráldez, J.V., 2011. Guidelines on validation procedures for meteorological data from automatic weather stations. Journal of Hydrology, 402, 144–154. https://doi.org/10.1016/j.jhydrol.2011.02.031
Fiebrich, C. A., Morgan, C.R., McCombs, A. G., Hall, P.K., McPherson, R.A., 2010. Quality assurance procedures for mesoscale meteorological data. Journal of Atmospheric and Oceanic Technology, 27, 1565-1581. https://doi.org/10.1175/2010JTECHA1433.1
Fraedrich K, Larnder C. 1993. Scaling regimes of composite rainfall time series. Tellus Series A-Dynamic Meteorology and Oceanography 45A, 289-298. https://doi.org/10.3402/tellusa.v45i4.14893
Francés, F., Vélez, I., Vélez, J. 2007 .Split-parameter structure for the automatic calibration of distributed hydrological models. Journal of Hydrology, 332, 226-240. https://doi.org/10.1016/j.jhydrol.2006.06.032
García-Marin A P, Jiménez-Hornero F J, Ayuso-Muñoz J L. 2008. Multifractal analysis as a tool for validating a rainfall model. Hydrological Processes 22, 2672-2688. https://doi.org/10.1002/hyp.6864
García-Marín, A.P., Ayuso-Muñoz, J.L , Jiménez-Hornero F.J., Estévez, J. 2013. Selecting the best IDF model by using the multifractal approach. Hydrological Processes, 27(3), 433-443. https://doi.org/10.1002/hyp.9272
González, J., Valdés, J. 2003. Bivariate drought recurrence analysis using tree-ring reconstructions. Journal of Hydrologic Engineering, 8, 247-257. https://doi.org/10.1061/(ASCE)1084-0699(2003)8:5(247)
González, J., Valdés, J. 2006. New drought frequency index: Definition and comparative performance analysis. Water Resources Research, 42, W11421. https://doi.org/10.1029/2005WR004308
GRDC2014.http://www.bafg.de/GRDC/EN/02_srvcs/services_node.html Global Runoff Data Center website, Koblenz, Germany (ultima visita 24/5/2014).
Kantelhardt JW, Koscielny-Bunde E, Rybski D, Braun P, Bunde A, Havlin S. 2006. Long-term persistence and multifractality of precipitation and river runoff records. Journal of geophysical research-atmospheres 111 (D1), Art. No. D01106. https://doi.org/10.1029/2005JD005881
Kavetski, D., Kuczera, G., Franks, S.W. 2006. Bayesian analysis of input uncertainty in hydrological modeling: theory. Water Resources Research 42, W03407. https://doi.org/10.1029/2005WR004368
Kiely G, Ivanova K. 1999. Multifractal analysis of hourly precipitation. Physics and Chemistry of the Earth Part B-Hydrology Oceans and Atmosphere 24, 781-786. https://doi.org/10.1016/S1464-1909(99)00080-5
Knight, J.H. 2005. Improving the Dupuit-Forchheimer groundwater free surface approximation. Advances Water Resources 28, 1048-1056. https://doi.org/10.1016/j.advwatres.2005.04.014
Kravchenko, A., C. Boast, and D.G. Bullock. 1999. Multifractal analysis of soil spatial variability. Agronomy Journal 91, 1033-1041. https://doi.org/10.2134/agronj1999.9161033x
Kravchenko, A.N., D.G. Bullock and C.W. Boast. 2000. Analyzing relationships between crop yield and terrain slope using theory of joint multifractal measures. Agronomy Journal 92, 1279-1290. https://doi.org/10.2134/agronj2000.9261279x
Labat D, Mangin A, Ababou R. 2002. Rainfall-runoffs relations for karstic springs: multifractal analyses. Journal of Hydrology 256, 176-195. https://doi.org/10.1016/S0022-1694(01)00535-2
Ladoy P, Schmitt F, Schertzer D, Lovejoy S. 1993. The multifractal temporal variability of Nimes rainfall data. Comptes Rendus del Academie des Sciences Serie II 317(6), 775-782.
Lee, C.K., 2002. Multifractal characteristics in air pollutant concentration time series. Water, Air, & Soil Pollution 135, 389-409. https://doi.org/10.1023/A:1014768632318
López-Lineros, M., Estévez, J., Giráldez, J.V., Madueño, A., 2014. A new quality control procedure base don non-linear autoregressive neural network for validating raw river stage data. Journal of Hydrology, 510, 103-109. https://doi.org/10.1016/j.jhydrol.2013.12.026
Mandelbrot B. 1975. Les objects fractals: forme, hazard et dimension. Flammarion, Paris.
Moreno Pérez, M.F., Serrano Gómez, A., Roldán Cañas, J., Rueda Sánchez, S. 2014. Application of interception models in a watershed with Mediterranean type climate. European Geosciences Union General Assembly, Viena.
Moreno Pérez, M.F., Woolhiser, D.A., Roldán-Cañas, J. 2014. Effects of parameter perturbation on daily precipitation models in Southern Spain using the NAO index. International Journal of Climatology . Published online. DOI: 10.1002/joc.3858.
Mulvaney, T.J. 1850. On the use of self registering rain and flood gauges.Inst. Civ. Eng. Proc. 4, 1-8, Dublin, Ireland.
Nikopoulos, E.I., E.N. Anagnostou, F. Hossain, M.
Gebremichael, and M. Borga, 2010. Understanding the ScaleRelationships of Uncertainty Propagation of Satellite Rainfall through a Distributed Hydrologic Model. Journal of Hydrometeorology 11, 520- 532. https://doi.org/10.1175/2009JHM1169.1
Olsson J, Burlando P. 2002. Reproduction of temporal scaling by rectangular pulses rainfall model. Hydrological Processes 16, 611-630. https://doi.org/10.1002/hyp.307
Over T.M., Gupta V.K. 1994. Statistical analysis of mesoscale rainfall: dependence of a random cascade generator on large scaling forcing. Journal of Applyed Meteorology, 33, 1526-1543. https://doi.org/10.1175/1520-0450(1994)033<1526:SAOMRD>2.0.CO;2
Peel, M.C., McMahon, T.A., Finlayson, B.L. 2002. Variability of annual precipitation and its relationship to the El Niño-Southern Oscillation. Journal of Climate 15, 545-5. https://doi.org/10.1175/1520-0442(2002)015<0545:VOAPAI>2.0.CO;2
Pérez Arellano, R., Roldán Cañas, J. y Moreno Pérez, M.F. 2014. Influencia meteorológica en la interceptación de la lluvia en Pinus Pinea y Cistus Ladanifer. XXXII Congreso Nacional de Riegos, Madrid.
Pokhreland, P., Gupta, H.V. 2010. On the use of spatial regularization strategies to improvecalibration of distributed watershed models.Water Resources Research, 46, W01505. https://doi.org/10.1029/2009WR008066
Lamb, H.H. 1972. Climate: Past, Present and Future. Richard Clay (The Chaucer Press) Ltd. Bungay, Suffolk UK.
Lumbroso, D., Gaume, E. 2012. Reducing the uncertainty in indirect estimates of extreme flash flood discharges. Journal of Hydrology 414, 16–30. https://doi.org/10.1016/j.jhydrol.2011.08.048
Reed, S., DMIP Participants, 2004. Overall distributed model intercomparison project results. Journal of Hydrology, 298(1-4), 27-60. https://doi.org/10.1016/j.jhydrol.2004.03.031
Roldán J., Woolhiser, D.A.1982.Stochastic daily precipitation models.1. A comparison of occurrence processes. Water Resources Research 18 (5), 1451-1459. https://doi.org/10.1029/WR018i005p01451
Rushton, K.R., Youngs, E.G. 2010. Drainage of recharge to symmetrically located downstream boundaries with special reference to seepage faces. Journal of Hydrology 380, 94-103. https://doi.org/10.1016/j.jhydrol.2009.10.026
Schertzer D, Lovejoy S. 1987. Physical modelling and analysis of rain and clouds by anisotropic scaling multiplicative processes. Journal of Geophysical Research-Atmospheres 92, 9693-9714. https://doi.org/10.1029/JD092iD08p09693
Serrat-Capdevila, A., Valdes, J.B., Stakhiv, E.Z. 2013. Water Management Applications for Satellite precipitation products: Synthesis and Recommendations. Journal of the American Water Resources Association, 1-17. DOI: 10.1111/jawr.12140
Shiklomanov, A.I., R.B. Lammers, Vorosmarty, C.J. 2002. Widespread Decline in Hydrological Monitoring Threatens Panarctic Research. EOS Transactions 83(2):16-17. https://doi.org/10.1029/2002EO000007
Singh, V.P., Frevert, D.K. 2002a. Mathematical Models of Small Watershed Hydrology and Applications.Water Resources Publications. Littleton, Colorado, 950 pages. https://doi.org/10.1061/40650(2003)16
Singh, V.P. and Frevert, D.K. 2002b. Mathematical Models of Large Watershed Hydrology. Water Resources Publications Littleton, Colorado, 891 pages. https://doi.org/10.1061/40650(2003)16
Sivakumar B. 2001. Is a chaotic multi-fractal approach for rainfall possible? Hydrological Processes 15, 943-955. https://doi.org/10.1002/hyp.260
Smithand, M., DMIP Participants, 2013. The Distributed Model Intercomparison Project- Phase 2: Experiment Design and Summary Results of the Western Basin Experiments. Journal of Hydrology, 507, 300-329.
Stokstad, E., 1999. Scarcity of Rain, Stream Gages Threatens Forecasts. Science 285, 1199. https://doi.org/10.1126/science.285.5431.1199
Strack, O.D.L., Barnes, R.J., Verrujit, A. 2006. Vertically integrated flows, discharge potential, and the Dupuit-Forchheimer approximation. Ground Water 44, 72-75. https://doi.org/10.1111/j.1745-6584.2005.00173.x
Svensson C, Olsson J, Berndtsson R. 1996. Multifractal properties of daily rainfall in two different climates. Water Resources Research 32, 2463-2472. https://doi.org/10.1029/96WR01099
Tessier Y, Lovejoy S, Schertzer D. 1993. Universal multifractals in rain and clouds: theory and observations. Journal of Applied Meteorology, 32, 223-250. https://doi.org/10.1175/1520-0450(1993)032<0223:UMTAOF>2.0.CO;2
Tessier Y, Lovejoy S, Hubert P, Schertzer D, Pecknold S. 1996. Multifractal analysis and modelling of rainfall and river flows and scaling, causal transfer functions. Journal of Geophysical Research-Atmospheres 101, 26427-26440. https://doi.org/10.1029/96JD01799
Till,. C., Guiot J. 1990. Reconstruction of precipitation in Morocco since 1100 A.D. based on Cedrus atlantica tree-ring widths. Quaternary Research, 33, 337-351. https://doi.org/10.1016/0033-5894(90)90060-X
Trigo, R.M., Pozo-Vázquez, D., Osborn, T.J., Castro-Díez, I., Gámiz-Fortis, S., Esteban-Parra, M.J. 2004. North Atlantic Oscillation influence on precipitation, river flow and water resources in the Iberian Peninsula. International Journal of Climatology 24, 925-944. https://doi.org/10.1002/joc.1048
Valente, F.; David, J. y Gash, J., 1997. Modelling interception loss for two sparse eucalypt and pine forests in central Portugal using reformulated Rutter and Gash analytical models. Journal of Hydrology, 190: 141-162. https://doi.org/10.1016/S0022-1694(96)03066-1
Veneziano D, Furcolo P, 2002. Multifractality of rainfall and scaling of intensity-duration-frequency curves. Water Resources Research 38 (12), doi: 10.1029/2001WR000372
Veneziano, D. and Langousis, A. 2005. The areal reduction factor: A multifractal analysis. Water Resources Research 41, 1-15, doi: 10.1029/2004WR003765.
Vieux, B.E., Cui, Z., Gaur, A. 2004. Evaluation of a physics-based distributed hydrologic model for flood forecasting. Journal of Hydrology 298, 155-177. https://doi.org/10.1016/j.jhydrol.2004.03.035
WMO, 2010. Manual on the global observing system. World Meteorological Organization, WMO-No. 544, Vol.1, Ginebra, Suiza.
Woodhouse, C.A. 2006. Updated streamflow reconstructions for the upper Colorado River basin. Water Resources Research, 42, 1-16. https://doi.org/10.1029/2005WR004455
Woolhiser, D.A.1992. Modelling daily precipitation- Progress and problems. In: Statistics in the environmental and Earth sciences, A. Walden and P. Guttorp, Eds., Edward Arnold, London, 71-89.
Youngs, E.G., Rushton, K.R. 2009. Dupuit-Forchheimer analyses of steady-state water table heights due to accretion in drained lands overlaying undulating sloping impermeable beds. Journal of Irrigation and Drainage Engineering, 135, 467-473. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000096