Numerical comparison of RAI and PNPI meteorological indices to assess and quantify the drought situation in Khuzestan province

Document Type : Research Article

Authors

1 Assistant Professor, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran

2 MSc. Student, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran

Abstract

Over the past few decades, the frequency and number of drought occurrence has been more than other natural disasters influencing human societies. Drought is a kind of natural disaster formed and extended smoothly and in a crawling way in comparison with other natural hazards like heavy precipitations and floodwaters. There are different and numerous indicators for quantitative expression of drought. Percentage Indicators of normal precipitation (PNPI) and precipitation abnormality (RAI) status and continuation of drought in 8 stations of Abadan, Ahvaz, Bandar-e Mahshahr, Bostan, Masjed Soleyman, Omidieh, Ramhormoz and Safi Abad in Khuzestan province during the statistical period (1990-2014) have been considered in this research. As the obtained results show, based on PNPI indicator, the most severe drought happened during period 1990-2014 in Bandar- e Mahshahr station with the amount of 20.39 in 2010. Also, the most severe wet period happened in Ahvaz station with the amount of 216.33 in 1997, based on PNPI indicator. Also, based on RAI indicator, the most severe drought happened in Bandar- e Mahshahr with the amount of 6.26 in 2010 during the period 1990-2014. Based on RAI indicator, the most severe wet period occurred in Ahvaz station with the amount of 8.6 in 1997.

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References

منابع
[1] Movedat E, Maleki S, Classification and Spatial Measurement of Social - Physical damages of the Cities Against Earthquakes by Using VIKOR Technique and GIS, Case Study: Yazd City. Jornal of Management System. 2014; 4(11): 85-103. (In Prsian).
 [2] Mosavi S H, AbasAli V, Maeiri M.Study of Drought severity and its severity in Semnan using DI index. Second National Conference on Drought Effects and Management Tools. Isfahan Agricultural and Natural Resources Research Center. 2009.(In Prsian).
 [3] Heidari, H. Plantand.Drought, Reserch institute of forest and Regeland publications, 2006.
 [4] Khosravi Y, Mozafari Kh. Error Analysis in the Evaluation of the SPI Drought Index Using Geostatistical Methods, Case Study of Bushehr Province. Jornal of Geography. 2015; 14(48): 189-212.(In Prsian).
 [5] Evazi M, Masaedi A. Monitoring and Spatial Analysis of Meteorological Drought in Golestan Province using Geostatistical Methods. Jornal of Range and Watershed Management, Iranian jornal of Natural Resources. 2011; 64(1): 65-78.(In Persian).
[6] Ansari H, Davari K. Zoning drought using standard precipitation index(SPI) in GIS Environment, Case study of khorasan province. Jornal of Geogrohi.2007; Res. 60:97-108. (In Persian).
 [7] Brna R, Azimi F, Saeidi Dehaki N, Comparison of RAI, PN and SIAP Indicators in the Study of Drought in Khuzestan Province with Emphasis on Abadan and Dezful Station. Jornal of Natural Geography Quarterly. 2010; 3(9): 77-88.(In Persian).
 [8] Vafahkhah M, Rajabi M. Efficiency of Meteorological Drought Indices for Monitoring and Assessment of Drought in Bakhtegan, Tashk, and Maharlo Lakes Watershed. Jornal of Desert. 2005; 10(2): 369-383.(In Persian).
 [9] Saeid M, Moghadasi M, Ghasemi H. Drought monitoring system design for Tehran province. Research project, 2004.(In Persian).
 [10] Maleki S, Movedat E. Drought crisis zoning with SIAP, PNPI and TOPSIS profiles, Case Study of Yazd Province. Journal of Disaster Management and Mitigation 2016; 6(1): 59-70.(In Persian).
 [11] Mohamadian A, Kouhi M, Adine baigi A, Rasouli G, Bazrafshan B. Comparison of Monitoring Using SPI, DI and PNI and Zoning Them, Case Study Northern Khorasan Province. Jornal of Water and Soil Coservation. 2010; 17(1); 177-184.(In Persian).
 [12] Khosravi M, Movaghari A, Mansori Daneshvar M. Evaluation of PNI, RAI, SPI and SIP Indices for Drought Zoning of Iran by Comparing IDW Intrusion Detection and DEM Digital Elevation Model. Journal of Geography and Environmental Sustainability. 2012; 2(5): 53-70.(In Persian).
 [13] Willeke K. Lin X.J. Grinshpun S.A. Improved aerosol collection by combined impaction and centrifugal motion. Aerosol Science and technology, 1998;28(5):439-456.
[14] Van Rooy M.P. A Rainfall anomaly index )RAI) independent of time and space.Notos,1965: No. 14: 43-48.
Iranian journal of Ecohydrology
Volume 4, Issue 3
September 2017
Pages 923-930

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History

  • Receive Date: 31 January 2017
  • Revise Date: 18 July 2017
  • Accept Date: 20 May 2017

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