Predictions of Runoff Hydrographs in Ungauged Basins
Predicting water runoff in ungauged water catchment areas is vital to practical applications such as the design of drainage infrastructure and flooding defences, runoff forecasting, and for catchment management tasks such as water allocation and climate impact analysis. This book synthesises decades of international research, forming a holistic approach to catchment hydrology and providing a one-stop resource for hydrologists in both developed and developing countries.
Chapter 10 deals with predicting the entire runoff hydrograph in ungauged basins. Runoff
hydrographs form the basis for a wide range of hydrologic investigations and water resources
management tasks. From a scientific perspective one may be interested in predicting
hydrographs in ungauged basins in order to understand how the individual processes combine
to produce catchment response. From a practical perspective one may be interested in
obtaining design characteristics for spillways, culverts and embankments. One may also be
interested in water resources management applications such as water allocation for irrigation,
industry and human use, hydropower operation and environmental flow estimation.
Predictions of hydrographs in ungauged basins are also essential for risk management such as
in flood and drought forecasting.
Both statistical and process based methods have been used for predictions, although
the trend is for increasing use of process based methods. Nevertheless, in data-rich regions
of the world, geostatistical methods that account for the network structure are seen to
work much better in ungauged basins than process based (rainfall-runoff) methods.
PARAJKA Juraj;
ANDREASSIAN Vazken;
ARCHFIELD Stacey A.;
BÁRDOSSY Andras;
CHIEW Francis;
DUAN Qingyun;
GELFAN Alexander;
HLAVČOVÁ Kamila;
MERZ Ralf;
MCINTYRE Neil;
OUDIN Ludovic;
PERRIN Charles;
ROGGER Magdalena;
SALINAS Jose Luis;
SAVENIJE Hubert;
SKOIEN Jon;
WAGENER Thorsten;
ZEHE Erwin;
ZHANG Yongqiang;
2013-06-04
Cambridge University Press
JRC75538
9781107028180,
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