Inspection the time characteristics of meteorological drought using SPI and SEPI indices in Ardabil province

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1- Calanca, P., 2007. Climate change and drought occurrence in the Alpine region.

Global and Planetary Change 57, 151-160.

2- Cheng, J., Ping Tao, J., 2010. Fuzzy Comprehensive Evaluation of rought Vulnerability Based on the Analytic Hierarchy Process. Agriculture and Agricultural Science Procedia 1, 126-135.

3- Han, P., Wang, P. X., Zhang, S. Y., Zhu, D. H., 2010. Drought forecasting based on the remote sensing data using ARIMA models. Mathematical and Computer Modelling 51, 1398-1403.

4- Huang, W. C., Chou, C., 2008. Risk-based drought early warning system in reservoir operation. Advances in Water Resources 31, 649-660.

5- Mishra, A.K., Desai, V.R., 2006. Drought forecasting using feed-forward recursive neural network. ecological modelling 198, 127-138.

6- Moreira, E.E., Coelho, A., Paulo, A., Pereira, S., Mexia, T., 2008. SPI- based drought category prediction using loglinear models. Journal of Hydrology 354, 116- 130.

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7- Moreira, E., Paulo, A., Pereira, S., Mexia, T., 2006. Analysis of SPI drought class transitions using loglinear models. Journal of Hydrology, 331, 349 - 359.

8- Li a, J., CookM, E.R.., Chen, F., Gou, X., Arrigo, R. D., Yuanc, Y., 1945. An extreme drought event in the central Tien Shan area in the year. Journal of Arid Environments 74, 1225-1231.

9- Logan, K.E., Brunsell, N.A., Jones, A.R., Feddema, J.J., 2010. Assessing spatiotemporal variability of drought in the U.S. central plains. Journal of Arid Environments 74, 247-255.

10- Peters, E., Bier, G., Lanen, H.A., Torfs, P., 2006. Propagation and spatial distribution of drought in a groundwater catchment. Journal of Hydrology 321, 257-275.

11- Paulo, A.A., Ferreira, E., Coelho, C., Pereira, L.S., 2005. Drought class transition analysis through Markov and Loglinear models, an approach to early warning. Agricultural Water Management 77, 59-8.

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SEPI SPI

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y = 0.000x + 0.479

SPI

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y = 0.000x + 0.492 SEPI

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Inspectionthe time characteristics of meteorological drought using SPI and SEPI indices in Ardabil province

Dr. Behruz Sobhani – Akbar Goldust

Abstract

Drought as a climatic phenomenon affects on all aspects of human activity heavily.

However, studies conducted in relation this phenomenon in the proper method is very low.

Check the features of drought and recognizing its dimensions can deal and reduce the damage from it is to be effective. In this research to examine the characteristics of long drought for the stations of the province of Ardabil were paid. The data used for this study, the average amount of precipitation and temperature on a monthly basis in the statistical period is 23 years old. Standardized precipitation index (SPI) and stsndardized evaporansprecipitation index (SEPI) on a scale of 1 and 3 months of time to a time of drought characteristics were used. After evaluating the conditions of drought, with each of these indicators, the results of two findings were compared. Based on the results of these discussions it became clear that the process is based on the SPI index utilizing linear and additive SEPI has been in most cases. The most intense drought of Ardebil province based on the SPI index in Ardabil in 3 months time scale in may 1989, with the amount of -2/33, And SEPI index in Pars Abad in February 1999 to the amount of 0.95, at time scale 3- month prespectively.

Based on the results of the study if study on precipitation-based drought we just (SPI index), dry conditions in station than it is to other stations, But if the effect of the temperature as well (SEPI index), in the higher temperature to the direction of Pars Abad, increased evaporation and in most cases the severity of drought has been more. Percent occurrence of drought in Khalkhal in SEPI is less than other stations. But the index is higher than that of the other stations the SPI.

Key words: Drought,SPI indices , SEPI indices,Ardabil province.

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University of Mohaghegh Ardabili

Final Report of Research Project

Inspection the time characteristics of meteorological drought using SPI and SEPI indices in Ardabil province

By

^:

Dr. Behrouz Sobhani – Akbar Goldoust

Department of physical geography

Faculty of human science

This research project has been financially supported by the office of vice chancellor for research

Date: October - 2014

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