The Analysis of Spring Precipitation in Semi-Arid Regions: Case Study in Iran
Hossein Ali HASANIHA, Majid MEGHDADI
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DOI: 10.4236/iwarp.2010.21008   PDF    HTML     6,879 Downloads   12,662 Views   Citations

Abstract

In this study, Zanjan from Iran has been chosen from among all the semi-arid regions of world, which has Synoptic station and statistical data since 1955. Spring and monthly precipitations are also provided in the period of 1956-2005. First, all data has been controlled by double mass method with the help of adjacent stations, and then it was normalized by the box-cox transformations method. The global SPI index was calculated for all months and spring, also drought and wet periods were determined and finally compared. In the drought category view, spring months have represented the great similarities. The moving averages are represented all months and spring’s precipitations such as three years, five years, seven years and nine years are shown. Statistical period was observed and analyzed based on five periods of ten years, and results precipitation with more than 5mm and 10mm has gradually decreased on April. However the number of days with precipitation has increased. The calculated spring precipitations and all of the atmospheric factors represented the dependence of this model to maximum average of spring temperature and relative humidity of spring and winter by the use of multi variable regression method. The predicted precipitation of spring also showed the gradual decline of precipitation in the next 30 years by the arima model.

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H. Ali HASANIHA and M. MEGHDADI, "The Analysis of Spring Precipitation in Semi-Arid Regions: Case Study in Iran," Journal of Water Resource and Protection, Vol. 2 No. 1, 2010, pp. 69-76. doi: 10.4236/iwarp.2010.21008.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] D. Khalili and A. Ganji, “Analysis of drought with simple time series/disaggregation models, utilizing short record length,” (Persian), Preceding of First National Conference on Drought Mitigation and Water Shortage, Jahad Daneshgahi Kerman and Shahid Bahonar University Publication, Vol. 66, pp. 581–593, 2001.
[2] WMO (World Meteorological Organization), “World climate news,” The Challenges of Climate Adaptation, Weather Climate and Water (WCN), Vol. 33, pp. 4–11, 2008.
[3] U. Lohrnann, R. Sausen, L. Bengtssonl, U. Cubasch, J. Perlwitz, and E. Roeckner, “The Koppen climate classification as a diagnostic tool for general circulation models,” Climate Research. Vol. 3, pp. 181–190. 1993.
[4] WMO (World Meteorological Organization). “Climate: Into the 21st century,” Publisher: Cambridge University press. Editors: William Burrought, Vol. 240, pp. 11–28, 2003.
[5] A. Alizadeh, Eds., “Principles of applied hydrology,” (in Persian), Astane Ghods, Bonyade Ferhengiy Rezevi Publication, Meshhad, Iran. pp. 451–461, 2006.
[6] T. Takahiro and H. Yuzo, “A modified box-cox transformation in the multivariate arima model,” In: Journal of the Japan Statistical Society. Vol. 37, No. 1, pp. 1–28, 2007.
[7] T. B. McKee, N. J. Doesken, and J. Kleist, “The relationship of drought frequency and duration to time scales,” In: Proceeding of the 8th Conference on Applied Climatology, American Meteorological Society, California, 17–22, pp. 179–184, 1993.
[8] R. W. Simmons and P. Pongsakul, “Preliminary stepwise multiple linear regression method to predict cadmium and zinc uptake in soybean,” In Communications in Soil Science and Plant Analysis, Vol. 35, No. 13, 14, pp. 1815– 1828, 2005.
[9] P. Brockwell, J. Davis, and A. Richard (Eds), “Introduction to time series and forecasting series,” Spring Texts in Statistics, 2002.
[10] J. C. Ochoa, “Prospecting droughts with stochastic artificial neural networks,” Elsevier Journal of Hydrology, Vol. 352, pp. 174–180, 2008.
[11] G. Mendicino, A. Senatore, and P. Versace, “A groundwater resourceindex (GRI) for drought monitoring and forecasting in a mediterranean climate,” In Journal of Hydrology, pp. 5–15, 2008.
[12] R. Ragab and C. Prudhomme, “Climate change and water resources management in arid and semi-arid regions: Prospective and challenges for the 21st century,” In Bio systems Engineering-Soil and Water, Vol. 81, No. 1, pp. 3–34, 2001.

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