Low-flow estimation is of great importance to assess the availability of water resources. This study investigates the applicability of physiographical space-based interpolation techniques for the prediction of low-flow indices in ungauged basins (basins for which discharge observations are sparse or unavailable). The study considers 51 catchments located in a wide region of central Italy, for which several geomorphological and climatic descriptors are available. The analysis applies both deterministic and geostatistical techniques for interpolating low-flow indices in the physiographical space. A jack-knife cross-validation procedure is applied in order to quantify the accuracy of each technique when it is applied to ungauged basins. The results of the study show that physiographical space-based interpolation is a viable approach for estimating low-flow indices in ungauged basins and geostatistical techniques outperform deterministic techniques.
Prediction of low-flow indices in ungauged basins through physiographical space-based interpolation / S. Castiglioni; A. Castellarin; A. Montanari. - In: JOURNAL OF HYDROLOGY. - ISSN 0022-1694. - STAMPA. - 378:(2009), pp. 272-280. [10.1016/j.jhydrol.2009.09.032]
Prediction of low-flow indices in ungauged basins through physiographical space-based interpolation
CASTIGLIONI, SIMONE;CASTELLARIN, ATTILIO;MONTANARI, ALBERTO
2009
Abstract
Low-flow estimation is of great importance to assess the availability of water resources. This study investigates the applicability of physiographical space-based interpolation techniques for the prediction of low-flow indices in ungauged basins (basins for which discharge observations are sparse or unavailable). The study considers 51 catchments located in a wide region of central Italy, for which several geomorphological and climatic descriptors are available. The analysis applies both deterministic and geostatistical techniques for interpolating low-flow indices in the physiographical space. A jack-knife cross-validation procedure is applied in order to quantify the accuracy of each technique when it is applied to ungauged basins. The results of the study show that physiographical space-based interpolation is a viable approach for estimating low-flow indices in ungauged basins and geostatistical techniques outperform deterministic techniques.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.