Model of hydrological forecasting using artificial neural networks: a case study in the Xingu River basin - Altamira-PA

被引：1
|
作者：
da Silva, Arilson Galdino [1 ]
Castro, Adriana R. G. [2 ]
Vieira, Alen Costa [1 ]
机构：
[1] Ctr Gestor & Operac Sistema Protecao Amazonia CEN, Belem, Para, Brazil
[2] Univ Fed Para UFPA, Caixa Postal 479, BR-66075110 Belem, Para, Brazil
来源：
REVISTA BRASILEIRA DE COMPUTACAO APLICADA | 2018年 / 10卷 / 03期
关键词：
Hydrological Modeling; Xingu River Quota Forecasing; Neural Networks; Time Series;
D O I：
10.5335/rbca.v10i3.8779
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Knowledge about the extent of river bed overflow is extremely necessary for the determination of areas at risk. The City of Altamira-PA, located on the banks of the Xingu River, historically suffers from extreme events of floods that provoke floods, causing great damages to the population. Considering the problem, this paper presents a monthly level prediction system of the Xingu River based on neural networks perceptron of multiple layers. For the development of the system, precipitacion data were used in the basin and sub-basins of the Xingu River, and SST information (Sea Surface Temperature) from 1979 to 2016. The satisfactory results demonstrate the great applicability of the artificial neural networks to the problem.
引用
收藏
页码：55 / 62
页数：8
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