Applying cascade-correlation neural networks to in-fill gaps in Mediterranean daily flow data series
MetadataShow full item record
The analyses of water resources availability and impacts are based on the study over time of meteorological and hydrological data trends. In order to perform those analyses properly, long records of continuous and reliable data are needed, but they are seldom available. Lack of records as in gaps or discontinuities in data series and quality issues are two of the main problems more often found in databases used for climate studies and water resources management. Flow data series from gauging stations are not an exception. Over the last 20 years, forecasting models based on artificial neural networks (ANNs) have been increasingly applied in many fields of natural resources, including hydrology. This paper discusses results obtained on the application of cascade-correlation ANN models to predict daily water flow using Julian day and rainfall data provided by nearby weather stations in the Ebro river watershed (Northeast Spain). Five unaltered gauging stations showing a rainfall-dominated hydrological regime were selected for the study. Daily flow and weather data series covered 30 years to encompass the high variability of Mediterranean environments. Models were then applied to the in-filling of existing gaps under different conditions related to the characteristics of the gaps (6 scenarios). Results showed that when short periods before and after the gap are considered, this is a useful approach, although no general rule applied to all stations and gaps investigated. Models for low-water-flow periods provided better results (r = 0.76–0.8).
Is part ofWater, 2019, vol. 11, num. 8, article number 1691
European research projects
Except where otherwise noted, this item's license is described as cc-by (c) Vega García et al., 2019
Showing items related by title, author, creator and subject.
Vega García, Cristina; Alcázar Montero, Jorge; Canet Castellà, Raquel (Colegios y Asociaciones de Ingenieros de Montes e Ingenieros Técnicos Forestales, 2000)Desde los años 70 se han creado en nuestros montes áreas recreativas basadas en un modelo de concentración de visitantes y de infraestructuras en cuarteles de recreo. El destino de estas áreas ha sido muy desigual, planteando ...
Vega García, Cristina; Burriel López, Marta; Alcázar Montero, Jorge (Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (Espanya), 2011)Se aplican métodos ensayados en otros países (Scenic Beauty Estimation Method, SBE) para la determinación de las cualidades estéticas de masas forestales de interés recreativo a parcelas en diversas localizaciones del haya ...
Analysis of factors influencing deployment of fire suppression resources in Spain using artificial neural networks Costafreda Aumedes, Sergi; Cardil Forradellas, Adrián; Molina Terrén, Domingo; Daniel, Sarah N.; Mavsar, Robert; Vega García, Cristina (Italian Society of Silviculture and Forest Ecology (SISEF), 2015)In Spain, the established fire control policy states that all fires must be controlled and put out as soon as possible. Though budgets have not restricted operations until recently, we still experience large fires and ...