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Information Journal Paper

Title

APPLICATION OF ARTIFICIAL NEURAL NETWORK IN STREAM FLOW FORECASTING USING CLIMATIC INDICES (CASE STUDY: NAZLOOCHAY RIVER BASIN)

Pages

  25-36

Abstract

 Climatic indices are used to forecast seasonal stream flow through the application of NEURAL NETWORK techniques. This research has been carried out in Nazloochay River Basin in northwest of Iran. The spring season stream flow of this basin is about 80% of the annual flow, and the previous research shows that it is influenced by the Southern Oscillation Index (SOI) and North Atlantic Oscillation (NAO). A feed-forward three layers Artificial NEURAL NETWORK (ANN) is used to forecast the spring stream flow with one-year lead time. It is believed that considering the lead time of one year and the long distance between the basin in Iran and the locations of climatic phenomenon (SOI and NAO), the findings in this paper are very important and distinguished, both from water resources management aspects and teleconnections outlook.

Cites

References

Cite

APA: Copy

BORHANI DARIAN, A.R., & FATEHI MARJ, A.. (2008). APPLICATION OF ARTIFICIAL NEURAL NETWORK IN STREAM FLOW FORECASTING USING CLIMATIC INDICES (CASE STUDY: NAZLOOCHAY RIVER BASIN). JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ), 35(3 (51) CIVIL ENGINEERING), 25-36. SID. https://sid.ir/paper/43722/en

Vancouver: Copy

BORHANI DARIAN A.R., FATEHI MARJ A.. APPLICATION OF ARTIFICIAL NEURAL NETWORK IN STREAM FLOW FORECASTING USING CLIMATIC INDICES (CASE STUDY: NAZLOOCHAY RIVER BASIN). JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ)[Internet]. 2008;35(3 (51) CIVIL ENGINEERING):25-36. Available from: https://sid.ir/paper/43722/en

IEEE: Copy

A.R. BORHANI DARIAN, and A. FATEHI MARJ, “APPLICATION OF ARTIFICIAL NEURAL NETWORK IN STREAM FLOW FORECASTING USING CLIMATIC INDICES (CASE STUDY: NAZLOOCHAY RIVER BASIN),” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ), vol. 35, no. 3 (51) CIVIL ENGINEERING, pp. 25–36, 2008, [Online]. Available: https://sid.ir/paper/43722/en

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