出版社：International Digital Organization for Scientific Information Publications
摘要：River water salinity is a significant concern in many countries, considering agricultural and
drinking usages. Therefore, prediction of amount of salinity is a necessary tool for planning and
management of water resources. Since Achechay River Basin in East Azerbaijan province in Iran passes
through saline zones, use of the water for irrigation has become problematic. In this regard, prediction of
future salinity of Vaniar station in Achechay river basin was studied using Artificial Neural Network
(ANN) with a month time delay as predictor, considering the effect of discharge with 24 hours time delay
and Total Dissolved Solid (TDS), TDS monthly mean data and daily mean discharge for thirty years are
considered as inputs for the ANN and TDS is the output of the models. Multi Layer Perceptron (MLP) and
Input Delay Neural Network (IDNN) methods were applied to the data. The results of the study showed
that predictions of river salinity using Artificial Neural Network are reasonable, suitable and of acceptable
accuracy. Hence, prediction of water salinity by ANN may be useful for water quality planning and
management.
关键词：Salinity prediction · Achechay River · Artificial neural network
