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Seasonal river discharge forecast in alpine catchments using snow map time series and support vector regression approach

TitoloSeasonal river discharge forecast in alpine catchments using snow map time series and support vector regression approach
Tipo di pubblicazionePresentazione a Congresso
Anno di Pubblicazione2014
AutoriCallegari, M., Mazzoli P., de Gregorio L., Notarnicola C., Pasolli L., Petitta Marcello, Seppi R., and Pistocchi A.
Conference NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
EditoreInstitute of Electrical and Electronics Engineers Inc.
ISBN Number9781479957750
Abstract

The prediction of monthly mean discharge is critical for water resources management. Statistical methods applied on discharge time series are traditionally used for predicting this kind of slow response hydrological events. With this paper we present a Support Vector Regression (SVR) system able to predict monthly mean discharge considering discharge and snow cover extent (250 meters resolution obtained by MODIS images) time series as inputs. Additional meteorological and climatic variables are also tested as inputs for the SVR approach. The prediction system has been evaluated on 14 catchments in South Tyrol (Northern Italy). Considering as a reference the estimates based on the average discharge computed on the past 10 years, which is a common practice for water resources management in the study region, the percentage root mean square error (RMSE%) is reduced of 11% and 6% for a prediction lag of 1 and 3 months respectively. © 2014 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84911409935&doi=10.1109%2fIGARSS.2014.6946379&partnerID=40&md5=c8dcc19d7bb5b57654453daea4b0848d
DOI10.1109/IGARSS.2014.6946379
Citation KeyCallegari2014153