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Hydrological control of flooding: Tuscany, October 1992

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Abstract

In the study of flash-flood occurrence in small catchments the lack of flow measurements is often one of the main limiting factors. Prior to estimating the forecasting potentialities and techniques for such events, an accurate reconstruction of past event flood dynamics is first required. This issue is here addressed by analyzing, with the use of a distributed hydrological model, the hydrometeorological conditions in which a severe flash-flood occurred, on October 1992, on a 48 square kilometers catchment in the Arno basin. Such an event was caused by the persistence of intense convective clusters on the background of widespread rain bands of frontal origin. The distributed hydrological model here adopted is devoted to simulate the evolution and the variability of the primary processes involved in the runoff cycle. Together with the hydrological model structure, other particular aspects of the event reconstruction procedure are discussed: the managing and processing of the information coming from different sensors, with different temporal and spatial resolutions; the identification of local precipitation dynamics (frontal or convective) within small areas of integrated radar and rain gauges data fields; the interpolation of rain gauge data on the basis of the radar-estimated spatial correlation. The results of the distributed modeling, concerning the estimate of the flood wave at various sites, are compared with analogous results obtained with simpler lumped models.

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References

  • Abbott, M.B., Bathurst, J.C., Cunge, J.A., O'Connel, P.E. and Rasmussen, J.: 1986, ‘An Introduction to the European Hydrologic System-Systeme Hydrologique European, “SHE”, 1: History and Philosophy of a Physically-Based Distributed Modelling System’,J. Hydrol. 87, 45–59.

    Google Scholar 

  • A.M.-ITAV - Servizio Meteorologico: 1992,Cartello meteorologico,XXXIII, 303–305.

    Google Scholar 

  • Azimi-Zonooz, A., Krajeski, W.F., Bowles, D.S. and Seo, D.J.: 1989, ‘Spatial Rainfall Estimation by Linear and non Linear Co-Kriging of Radar-Rainfall and Raingage Data’,Stoch. Hydrol. Hydraul. 3, 51–67.

    Google Scholar 

  • Barancourt, C., Creutin, J.D. and Rivoirard, J.: 1992, ‘A Method for Delineating and Estimating Rainfall Fields’,Water Resour. Res. 28(4), 1133–1144.

    Google Scholar 

  • Battan, L.J. (1973).Radar Observation of the Atmosphere, University of Chicago Press, Chicago, Ill.

    Google Scholar 

  • Becchi, I., and Bemporad, G.A.: 1985, ‘Small Basin Hydrology: Review of the Absorptive Phenomenon’,DIC, Firenze,1.

  • Becchi, I., and Federici, G. (1986). ‘Hydrological Grid Model for Simulation of Absorption Phenomena’,Intern. Conference on the Arno Project, Firenze.

  • Becchi, I., and Giuli, D.: 1986, ‘The Arno Project: A Real Time Approach to the Arno River Flooding Forecast’,Intern. Conference on the Arno Project, Firenze.

  • Becchi, I., Caporali, E., Federici, G. and Palmisano, E.: 1989, ‘Un modello distribuito per lo studio del bacino dell'Arno: analisi idrologica della Sieve’,Acqua Aria 10, 1129–1144.

    Google Scholar 

  • Becchi, I., Gherardelli, M., Facheris, L. and Palmisano, E.: 1990, ‘Radar Site and Field of Experiments’,Workshop on The Role of Radar in the Arno Project: Related Problems and Research Opportunities, Firenze.

  • Becchi, I., Caporali, E. and Palmisano, E.: 1993, ‘Hydrological Response to Radar Rainfall Maps Through A Distributed Model’,Adv. in Natur. and Techol. Hazards Res. 4, (in press).

  • Becchi, I., and Petrucci, A.: 1993, ‘The Role of G.I.S. in Flooding Risk Analysis’,Workshop on Geographic Information Systems in Assessing Natural Hazards, (abstracts), La Colombella, Univ. for Foreigners, Perugia.

    Google Scholar 

  • Benjamin, J.R. and Cornell, C.A.: 1970,Probability, Statistics and Decision for Civil Engineers, McGraw-Hill, New York.

    Google Scholar 

  • Beven, K. (1985). ‘Distributed Models’, in:Hydrological Forecasting, ed. by Anderson, M.G. & T.P. Burt, John Wiley, New York, pp. 405–435.

    Google Scholar 

  • Beven, K.: 1989, ‘Changing Ideas in Hydrology - The Case of Physically-Based Models’,J. of Hydrol. 105, 157–172.

    Google Scholar 

  • Beven, K. and O'Connell, P.E.: 1982, ‘On the Role of Distributed Models in Hydrology’,Rep. 81, Inst. of Hydrol., Wallingford, U. K.

  • Brandes, E.A.: 1975, ‘Optimizing Rainfall Estimates with the Aid of Radar’,J. Appl. Meteorol. 14(7), 1339–1345.

    Google Scholar 

  • Bras, R.L.: 1990,Hydrology-An Introduction to Hydrologic Science, Addison-Wesley, Reading, Mass.

    Google Scholar 

  • Busoni, E., C. Calzolari, and D. Torri: 1986, ‘Utilizzazione della cartografia pedologica per la stima delle caratteristiche idrologiche del suolo’, C.N.R. Gruppo Nazionale per la Difesa dalle Catastrofi Idrogeologiche.

  • Casini, M.: 1992,La previsione del rischio di esondazione con un sistema di monitoraggio in tempo reale. Il sistema del bacino dell'Arno, Azione di Sviluppo per la Protezione Civile, Giunta Regionale, Regione Toscana, Firenze.

    Google Scholar 

  • Collier, C.G.: 1986, ‘Accuracy of Rainfall Estimates by Radar, Part I: Calibration by Telemetring Raingauges’,J. Clim. Appl. Meteorol. 83, 207–223.

    Google Scholar 

  • Collier, C.G., Larke, P.R. and May, B.R.: 1983, ‘A Weather Radar Correction Procedure for Real-Time Estimation of Surface Rainfall,Q. J. R. Meteorol. Soc. 109, 589–608.

    Google Scholar 

  • Doviak, R.J., and Zrnic, D.S.: 1984,Doppler Radar and Weather Observations, Academic Press, San Diego, Calif.

    Google Scholar 

  • Gupta, V.K., Waymire, E. and Wang, C.T.: 1980, ‘A Representation of an Instantaneous Unit Hydrograph from Geomorphology’,Water Resour. Res. 16(5), 855–862.

    Google Scholar 

  • Houze, R.A.Jr.: 1981, ‘Structures of Atmospheric Precipitation Systems: A Global Survey’,Radio Science 16(5), 671–689.

    Google Scholar 

  • James, P.K. and Browing, K.A.: 1979, ‘Mesoscale Structure of Line Convection at Surface Cold Fronts’,Q. J. R. Meteorol. Soc. 105, 371–382.

    Google Scholar 

  • Kafritsas, J. and Bras, R.L.: 1984, ‘The Practice of Kriging’, 2nd ed.,Rep. 263, Ralph M. Parsons Lab., Mass. Inst. of Technol., Cambridge.

    Google Scholar 

  • Krajeski, W.F.: 1987, ‘Co-Kriging Radar-Rainfall and Rain Gage Data’,J. Geophys. Res. 92(D8), 9571–9580.

    Google Scholar 

  • Kuczera, G. and Williams, B.J.: 1992, ‘Effect of Rainfall Errors on Accuracy of Design Flood Estimates’,Water Resour. Res. 28(4), 1145–1153.

    Google Scholar 

  • Lanza, L. and Conti, M.: 1994, ‘Cloud Tracking using Satellite Data for Predicting the Probability of Heavy Rainfall Events in the Mediterranean Area’,Surveys in Geophysics, this issue.

  • Llasat, M.C. and Puigcerver, M.: 1990, ‘Cold Air Pools over Europe’,Meteorol. Atmos. Phys. 42, 171–177.

    Google Scholar 

  • Myers, D.E.: 1985: ‘Co-Kriging: Methods and Alternatives’, inThe Role of Data in Scientific Progress, edited by P. Glaeser, 425–428, Elsevier Science, New York.

    Google Scholar 

  • National Research Council-National Research Group for the Prevention of Hydrogeological Disasters (1993).L'Esposizione a Rischio delle Regioni Italiane: Conoscere per Decidere, la Sintesi dell'Informazione (oral communications), Roma.

  • Rodriguez-Iturbe, I. and Valdes, J.B.: 1979, ‘The Geomorphologic Structure of Hydrologic Response’,Water Resour. Res. 15(6), 1409–1420.

    Google Scholar 

  • Rodriguez-Iturbe, I., Gupta, V.K. and Waymire, E.: 1984, ‘Scale Considerations in the Modeling of Temporal Rainfall’,Water Resour. Res. 20(2), 1611–1619.

    Google Scholar 

  • Rosso, R.: 1984, ‘Nash Model Relation to Horton Order Ratios’,Water Resour. Res. 20(7), 914–920.

    Google Scholar 

  • Scarchilli, G., Gorgucci, E., Giuli, D., Facheris, L., Freni A. and Vezzani, G.: 1991, ‘Arno Project: Evolution of Data Processing Techniques in Dual Polarization Radar’, Proc. 25th International Conference on Radar Meteorology, Paris, 805–808.

    Google Scholar 

  • Seo, D.J., Krajeski, W.F. and Bowles, D.S.: 1990a, ‘Stochastic Interpolation of Rainfall Data from Rain Gages and Radar using Cokriging, 1: Design of Experiments’,Water Resour. Res. 26(5), 469–477.

    Google Scholar 

  • Seo, D.J., Krajeski, W.F., Azimi-Zonooz, A. and Bowles, D.S.: 1990b, ‘Stochastic Interpolation of Rainfall Data from Rain Gages and Radar Using Cokriging, 2: Results’,Water Resour. Res. 26(5), 915–924.

    Google Scholar 

  • Sheperd, G.W., Cluckie, I.D., Collier, C.G., Yu S. and James, P.K.: 1988, ‘The Identification of Rainfall Type from Weather Radar Data’,Meteorological Magazine 117, 180–186.

    Google Scholar 

  • Strahler, A. N.: 1952, ‘Hypsometric (Area-Altitude) Analysis of Erosional Topography’,Geol. Soc. Am. Bull. 63, 1117–1142.

    Google Scholar 

  • Tabios, G.Q.III and Salas, J.D.: 1985, ‘A Comparative Analysis of Techniques for Spatial Interpolation of Precipitation’,Water Resour. Bull. 21(3), 365–380.

    Google Scholar 

  • Vieri, A.: 1990, ‘Gestione informatica di dati Iitologici: applicazione al bacino dell'Arno’, Grad. thesis, Dep. of Civil Engin., Hydraulic Section, University of Firenze, Firenze.

    Google Scholar 

  • Waymire, E., Gupta, V.K. and Rodriguez-Iturbe, I.: 1984, ‘A Spectral Theory of Rainfall Intensity at Meso-β Scale’,Water Resour. Res. 20(10), 1453–1465.

    Google Scholar 

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Becchi, I., Caporali, E., Castellani, L. et al. Hydrological control of flooding: Tuscany, October 1992. Surv Geophys 16, 227–252 (1995). https://doi.org/10.1007/BF00665781

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