Prediction of water flows in Colorado River, Argentina | Land Portal

Información del recurso

Date of publication: 
Junio 2017
Resource Language: 
ISBN / Resource ID: 
LaReferencia:AR_1d6e142603ec9bc4a177e71de39a908d
Copyright details: 
info:eu-repo/semantics/openAccess : Open Access, this refers to access without restrictions, and without financial incentives. Access to the resource is gained directly, without any obstacles.

The identification of suitable models for predicting daily water flow is important for planning <br />and management of water storage in reservoirs of Argentina. Long-term prediction of water flow is crucial for regulating reservoirs and hydroelectric plants, for assessing environmental protection and sustainable development, for guaranteeing correct operation of public water supply in cities like Catriel, 25 de Mayo, Colorado River and potentially also Bahía Blanca. In this paper, we analyze in Buta Ranquil flow time series upstream reservoir and hydroelectric plant in order to model and predict daily fluctuations. We compare results obtained by using a three-layer artificial neural network (ANN), and an autoregressive (AR) model, using 18 years of data, of which the last 3 years are used for model validation by means of the root mean square error (RMSE), and measure of certainty (Skill). Our results point out to the better performance to predict daily water flow or refill them of the ANN model performance respect to the AR model. 

Autores y editores

Author(s), editor(s), contributor(s): 

Pierini, Jorge Omar

Gomez, Eduardo Alberto

Telesca, Luciano

Proveedor de datos

The Federated Network of Institutional Repositories of Scientific Publications (Red Federada de Repositorios Institucionales de Publicaciones Científicas), or simply LA Referencia, is a Latin American network of open access repositories. Through its services, it supports national Open Access strategies in Latin America through a platform with interoperability standards, sharing and giving visibility to the scientific production generated in institutions of higher education and scientific research.


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