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Cites:

Information Journal Paper

Title

Simulation of RDI and SPEI Indices in Stations With Insufficient Historic Data

Pages

  342-346

Keywords

SPIQ2
GEEQ1

Abstract

 Calculation of stronger indices requires extensive meteorological data that may not be recorded in some areas, but in most areas rain gauges record rainfall data. In this research, the RDI and SPEI indices simulated with acceptable accuracy using the SPI index (only rainfall data is required for its calculation). Simulation was performed using generalized estimating equations (GEE) and then validation of these Simulation models was performed using different goodness of fit measures (NSE, RMSE, MAE, R2 and comparison with 1: 1 line (using t-test)). The calculated values of different goodness of fit measures indicated the acceptable validity of fitted GEE models. Comparison between goodness of fit parameters and validation coefficients indicated that, in general, the SPEI model was better than RDI model. Models validation showed that the difference between simulated and observed data was not significant at 5% significance level. Results indicated the better performance of Simulation models in arid region of the Fars province.

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  • Cite

    APA: Copy

    MOGHIMI, M.M., Khajehi, f., & MAHMOUDI, M.R.. (2019). Simulation of RDI and SPEI Indices in Stations With Insufficient Historic Data. IRAN-WATER RESOURCES RESEARCH, 15(2 ), 342-346. SID. https://sid.ir/paper/100219/en

    Vancouver: Copy

    MOGHIMI M.M., Khajehi f., MAHMOUDI M.R.. Simulation of RDI and SPEI Indices in Stations With Insufficient Historic Data. IRAN-WATER RESOURCES RESEARCH[Internet]. 2019;15(2 ):342-346. Available from: https://sid.ir/paper/100219/en

    IEEE: Copy

    M.M. MOGHIMI, f. Khajehi, and M.R. MAHMOUDI, “Simulation of RDI and SPEI Indices in Stations With Insufficient Historic Data,” IRAN-WATER RESOURCES RESEARCH, vol. 15, no. 2 , pp. 342–346, 2019, [Online]. Available: https://sid.ir/paper/100219/en

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