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<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences</journal_title>
		<journal_url>www.hydrol-earth-syst-sci.net</journal_url>
		<issn>1027-5606</issn>
		<eissn>1607-7938</eissn>
		<volume_number>12</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/hess-12-1141-2008</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/12/1141/2008/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/12/1141/2008/hess-12-1141-2008.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/12/1141/2008/hess-12-1141-2008.pdf</fulltext_pdf>
	<start_page>1141</start_page>
	<end_page>1152</end_page>
	<publication_date>2008-08-26</publication_date>
	<article_title content_type="html">Inferring the flood frequency distribution for an ungauged basin using a spatially distributed rainfall-runoff model</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>G. Moretti</name>
		</author>
		<author numeration="2" affiliations="2">
			<name>A. Montanari</name>
			<email>alberto.montanari@unibo.it</email>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Independent Engineer, Stuttgart, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Faculty of Engineering, University of Bologna, Bologna, Italy</affiliation>
	</affiliations>
	<abstract content_type="html">The estimation of the peak river flow for ungauged river sections is a
topical issue in applied hydrology. Spatially distributed rainfall-runoff
models can be a useful tool to this end, since they are potentially able to
simulate the river flow at any location of the watershed drainage network.
However, it is not fully clear to what extent these models can provide
reliable simulations over a wide range of spatial scales. This issue is
investigated here by applying a spatially distributed, continuous simulation
rainfall-runoff model to infer the flood frequency distribution of the
Riarbero River. This is an ungauged mountain creek located in northern Italy,
whose drainage area is 17 km&lt;sup&gt;2&lt;/sup&gt;. The hydrological model is first calibrated
by using a 1-year record of hourly meteorological data and river flows
observed at the outlet of the 1294 km&lt;sup&gt;2&lt;/sup&gt; wide Secchia River basin, of which
the Riarbero is a tributary. The model is then validated by performing a
100-year long simulation of synthetic river flow data, which allowed us to
compare the simulated and observed flood frequency distributions at the
Secchia River outlet and the internal cross river section of Cavola Bridge,
where the basin area is 337 km&lt;sup&gt;2&lt;/sup&gt;. Finally, another simulation of hourly
river flows was performed by referring to the outlet of the Riarbero River,
therefore allowing us to estimate the related flood frequency distribution.
The results were validated by using estimates of peak river flow obtained by
applying hydrological similarity principles and a regional method. The
results show that the flood flow estimated through the application of the
distributed model is consistent with the estimate provided by the regional
procedure as well as the behaviors of the river banks. Conversely, the method
based on hydrological similarity delivers an estimate that seems to be not as
reliable. The analysis highlights interesting perspectives for the
application of spatially distributed models to ungauged catchments.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Band, L. E.: Topographic partition of watersheds with digital elevation models, Water Resour. Res., 22, 15–24, 1986. </reference>
		<reference numeration="2" content_type="text"> Beven, K. J.: Rainfall-Runoff modelling, Wiley, United Kingdom, 2000. </reference>
		<reference numeration="3" content_type="text"> Beven, K. J.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18–36, 2006. </reference>
		<reference numeration="4" content_type="text"> Beven, K. and Binley, A.: The future of distributed models: model calibration and uncertainty prediction, Hydrol. Proc., 6, 279–298, 1992. </reference>
		<reference numeration="5" content_type="text"> Blazkova, S. and Beven, K. J.: Flood frequency prediction for data limited catchments in the Czech Republic using a stochastic rainfall model and TOP-MODEL, J. Hydrol., 195, 256–278, 1997. </reference>
		<reference numeration="6" content_type="text"> Blazkova, S. and Beven, K. J.: Flood frequency estimation by continuous simulation for a catchment treated as ungauged(with uncertainty), Water Resour. Res., 38, 1–14, 2002. </reference>
		<reference numeration="7" content_type="text"> Brath, A., Montanari, A., and Toth, E.: Comparing the calibration requirements and the simulation performances of lumped and distributed hydrological models: an Italian case study, AGU Spring Meeting, Boston, United States, 29 May–2 June 2001, H31D-04, 2001. </reference>
		<reference numeration="8" content_type="text"> Brath, A., Castellarin, A., Franchini, M., and Galeati, G.: Estimating the index flood using indirect methods, Hydrol. Sci. J., 46, 399–418, 2001. </reference>
		<reference numeration="9" content_type="text"> Brath, A., Montanari, A., and Toth, E.: Analysis of the effects of different scenarios of historical data availability on the calibration of a spatially-distributed hydrological model, J. Hydrol., 291, 232–253, 2004. </reference>
		<reference numeration="10" content_type="text"> Burlando, P.: Stochastic models for the predictions and simulations of rainfall in time, Ph.D. thesis, Politecnico di Milano, Italy, 183 pp, 1989. </reference>
		<reference numeration="11" content_type="text"> Cameron, D., Beven, K. J., Tawn, J., Blazkova, S., and Naden, P.: Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty), J. Hydrol., 219, 169–187, 1999. </reference>
		<reference numeration="12" content_type="text"> Cameron, D., Beven, K. J., Tawn, J., and Naden, P.: Flood frequency estimation by continuous simulation(with likelihood based uncertainty estimation), Hydrol. Earth Syst. Sci., 4, 23–34, 2000. </reference>
		<reference numeration="13" content_type="text"> Cameron, D., Beven, K. J., and Naden, P.: Flood frequency estimation by continuous simulation under climate change(with uncertainty), Hydrol. Earth Syst. Sci., 4, 393–405, 2000b. </reference>
		<reference numeration="14" content_type="text"> Castellarin, A.: Criteri di affinitá idrologica e tecniche di stima del fattore di scala nell&apos;analisi regionale di frequenza delle piene, Ph.D. thesis, University of Bologna, Italy, 130 pp., 2000 (in Italian). </reference>
		<reference numeration="15" content_type="text"> Chow, V. T., Maidment, R. M., and Mays, L. W.: Applied Hydrology, McGrawHill, United Kingdom, 1988. </reference>
		<reference numeration="16" content_type="text"> Cowpertwait, P. S. P.: A generalized spatial-temporal model of rainfall based on a clustered point process, Proc. of the R. Soc. of London, Series A, 450, 163–175, 1996. </reference>
		<reference numeration="17" content_type="text"> Cunge, J. A.: On the subject of a flood propagation computation method (Muskingum method), J. Hydraul. Res., 7, 205–230, 1969. </reference>
		<reference numeration="18" content_type="text"> Doorenbos, J., Pruitt, W. O., Aboukhaled, A., Damagnez, J., Dastane, N. G., van der Berg C., Rijtema, P. E., Ashford, O. M., and Frere, M.: Guidelines for predicting crop water requirements, FAO Irrig. Drainage Pap., Rome, Italy, 1984. </reference>
		<reference numeration="19" content_type="text"> Franchini, M. and Galeati, G.: Analisi regionale dei massimi annuali delle portate al colmo per la regione Romagna-Marche (in Italian), Lénergia elettrica, 73, 200–212, 1996. </reference>
		<reference numeration="20" content_type="text"> Jothityangkoon, C. and Sivapalan, M.: Towards estimation of extreme oods: Examination of the roles of runoff process changes and oodplain ows, J. Hydrol., 281, 206–229, 2003. </reference>
		<reference numeration="21" content_type="text"> Kirchner, J. W.: Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology, Water Resour. Res., 42, W03S04, doi:10.1029/2005WR004362, 2006. </reference>
		<reference numeration="22" content_type="text"> Lamb, R. L.: Calibration of a conceptual rainfall-runoff model for flood frequency estimation by continuous simulation, Water Resour. Res., 35, 3103–3114, 1999. </reference>
		<reference numeration="23" content_type="text"> Maione, U.: Le piene fluviali, La Goliardica Pavese, Italy, 1995. </reference>
		<reference numeration="24" content_type="text"> Montanari, A.: Long range dependence in hydrology, in: Theory and application of long range dependence, Birkhauser, Boston, United States, 2003. </reference>
		<reference numeration="25" content_type="text"> Montanari, A.: Large sample behaviors of the Generalised Likelihood Uncertainty Estimator in assessing the uncertainty of rainfall-runoff simulations, Water Resour. Res., 41, W08406, doi:10.1029/2004WR003826, 2005. </reference>
		<reference numeration="26" content_type="text"> Montanari, A.: What do we mean by &apos;uncertainty&apos;? The need for a consistent wording about uncertainty assessment in hydrology, Hydrol. Proc., 21, 841–845, 2007. </reference>
		<reference numeration="27" content_type="text"> Montanari, A., Rosso, R., and Taqqu, M. S.: Fractionally differenced ARIMA models applied to hydrologic time series: identification, estimation and simulation, Water Resour. Res., 33, 1035–1044, 1997. </reference>
		<reference numeration="28" content_type="text"> Montgomery, D. R. and Foufoula-Georgiou, E.: Channel Network Source Representation Using Digital Elevation Models, Water Resour. Res., 29, 3925–3934, 1993. </reference>
		<reference numeration="29" content_type="text"> Moretti, G. and Montanari, A.: Estimation of the peak river flow for an ungauged mountain creek using a distributed rainfall-runoff model, in: Recent advances in peak river flow modelling, prediction and real-time forecasting – Assessment of the impacts of land-use and climate changes, BIOS, Italy, 2004. </reference>
		<reference numeration="30" content_type="text"> Moretti., G. and Montanari, A., Affdef: A spatially distributed grid based rainfall-runoff model for continuous time simulations of river discharge, Environ. Mod. &amp; Soft., 22, 823–836, 2007. </reference>
		<reference numeration="31" content_type="text"> Naden, P. S., Crooks, S. M., and Broadhurst, P.: Impact of climate and land use change on the flood response of large catchments, in: Proceedings of the 31st MAFF Conference of River and Coastal Engineers, Keele, United Kingdom, 3–5 July 1996, 16 pp, 1996. </reference>
		<reference numeration="32" content_type="text"> NERC: Natural Environment Research Council Flood Studies Report, Whitefriars Press., United Kingdom, 1975. </reference>
		<reference numeration="33" content_type="text"> Orlandini, S., Perotti, A., Sfondrini, G., and Bianchi, A.: On the storm flow response of upland Alpine catchments, Hydrol. Proc., 13, 549–562, 1999. </reference>
		<reference numeration="34" content_type="text"> Rodriguez-Iturbe, I., Cox, D. R., and Isham, V.: Some models for rainfall based on stochastic point processes, Proc. R. Soc. London, Series A, 410, 269–288, 1987. </reference>
		<reference numeration="35" content_type="text"> Soil Conservation Service: National Engineering Handbook, Section 4, Hydrology, US Department of Agriculture, United States, 1972. </reference>
		<reference numeration="36" content_type="text"> Tarboton, D. G.: A new method for the determination of flow directions and upslope areas in grid digital elevation models, Water Resour. Res., 33, 309–319, 1997. </reference>
		<reference numeration="37" content_type="text"> Winsemius, H. C., Savenije, H. H. G., Gerrits, A. M. J., Zapreeva, E. A., and Klees, R.: Comparison of two model approaches in the Zambezi river basin with regard to model reliability and identifiability, Hydrol. Earth Syst. Sci., 10, 339–352, 2006. </reference>
	</references>
</article>

