Drought Estimation of Çanakkale with Data Mining

Abstract

Drought estimation is important considering the harmful effects of the climate change in recent years. In this study, various models are developed with data mining technique for the drought estimation of Çanakkale, Turkey. Standardized precipitation index (SPI) values for 3, 6, 9, 12 and 24 months are calculated using the precipitation data of Çanakkale, Gökçeada and Bozcaada stations. The calculated SPI values of Gökçeada and Bozcaada are used as input parameters in developing data mining models with different algorithms. Examining the model results, it is observed that data mining technique is effective in drought estimation.

Keywords

• drought
• data mining
• spi
• çanakkale
• turkey
• çanakkale
• kuraklık
• veri madenciliği
• syi̇
• türkiye