Application of K-Nearest Neighbor Algorithm in Drought Monitoring Based on the Standard Precipitation Index: A Case Study of City of Bam, Southeastern Iran

Message:
Abstract:
Drought is a climate phenomenon which might occur in any climate condition and all regions on the earth. Effective drought management depends on the application of appropriate drought indices. Drought indices are variables which are used to detect and characterize drought conditions. In this study, it was tried to predict drought occurrence,based on the standard precipitation index (SPI), using k-nearest neighbor modeling. The model was tested by using data of precipitation stations in Bam, Kerman Province. The results showed that the model gives reasonable predictions of drought situation in the region. Finally, the efficiency and precision of the model was quantified by some statistical coefficients. Appropriate values of the correlation coefficient, mean absolute error, root mean square error, efficiency of model and coefficient of residual mass indicated that the present model is suitable and efficient.
Language:
Persian
Published:
International Bulletin of Water Resources and Development, Volume:2 Issue: 1, 2014
Page:
131
https://www.magiran.com/p1399321