A HYBRID DECISION TREE/ ASSOCIATION RULES APPROACH FOR LONG-TERM PRECIPITATION FORECASTING

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NOURANI VAHID; SATTARI MOHAMMAD TAGHI; MOLAJOU AMIR

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Journal: Journal of Water and Irrigation Management Year:2017 | Volume:6 | Issue:2 Page(s): 331-346

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Title

A HYBRID DECISION TREE/ ASSOCIATION RULES APPROACH FOR LONG-TERM PRECIPITATION FORECASTING

Author(s)

NOURANI VAHID | SATTARI MOHAMMAD TAGHI | MOLAJOU AMIR | Issue Writer Certificate

Keywords

CLASSIFICATIONQ2

DATA MININGQ1

MAXIMUM MONTHLY PRECIPITATIONQ1

SEA SURFACE TEMPERATUREQ2

TABRIZQ1

URMIAQ2

Abstract

Long-term forecasting of hydro climatic variables such as MAXIMUM MONTHLY PRECIPITATION (MMP) is very important in water resources management. The previous researches have shown that discovering association between the oceanic-atmospheric climate phenomena such as SEA SURFACE TEMPERATURE (SST) and hydro climatic variables such as precipitation could provide important predictive information. In this paper, the application of two DATA MINING techniques is offered to discover affiliation between MMP values of URMIA and TABRIZ synoptic stations and SSTs of the Black, Mediterranean and Red Seas. Two major steps of the modeling in this study are the CLASSIFICATION of SST data and selecting the most effective groups and extracting hidden predictive information involved in the data. Decision tree algorithms were used for CLASSIFICATION and selecting the most effective groups and association rules were employed to extract the hidden predictive information from the large observed data. The results show a relative correlation between the Black, Mediterranean and Red Sea SSTs and MMP of URMIA and TABRIZ synoptic stations so that the confidence between the MMP values and the SST of seas is higher than 60% forstations.

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APA: Copy

NOURANI, VAHID, SATTARI, MOHAMMAD TAGHI, & MOLAJOU, AMIR. (2017). A HYBRID DECISION TREE/ ASSOCIATION RULES APPROACH FOR LONG-TERM PRECIPITATION FORECASTING. JOURNAL OF WATER AND IRRIGATION MANAGEMENT, 6(2 ), 331-346. SID. https://sid.ir/paper/240082/en

Vancouver: Copy

NOURANI VAHID, SATTARI MOHAMMAD TAGHI, MOLAJOU AMIR. A HYBRID DECISION TREE/ ASSOCIATION RULES APPROACH FOR LONG-TERM PRECIPITATION FORECASTING. JOURNAL OF WATER AND IRRIGATION MANAGEMENT[Internet]. 2017;6(2 ):331-346. Available from: https://sid.ir/paper/240082/en

IEEE: Copy

VAHID NOURANI, MOHAMMAD TAGHI SATTARI, and AMIR MOLAJOU, “A HYBRID DECISION TREE/ ASSOCIATION RULES APPROACH FOR LONG-TERM PRECIPITATION FORECASTING,” JOURNAL OF WATER AND IRRIGATION MANAGEMENT, vol. 6, no. 2 , pp. 331–346, 2017, [Online]. Available: https://sid.ir/paper/240082/en

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