Volume 6, Issue 2 (2018)
ECOPERSIA 2018, 6(2): 111-119 |
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Nohtani M, Ajorlo M, Sarhadi M. Zoning Drought with Standardized Precipitation Index and Reconnaissance Drought Index in Sistan and Baluchestan Province, Southeastern Iran. ECOPERSIA 2018; 6 (2) :111-119
URL: http://ecopersia.modares.ac.ir/article-24-16510-en.html
URL: http://ecopersia.modares.ac.ir/article-24-16510-en.html
1- Department of Rangeland and Watershed Management, Faculty of Water & Soil, University of Zabol, Zabol, Iran , m.nohtani@uoz.ac.ir
2- Department of Rangeland and Watershed Management, Faculty of Water & Soil Faculty, University of Zabol, Zabol, Iran
3- Department of Rangeland and Watershed Management, Faculty of Water & Soil, University of Zabol, Zabol, Iran
2- Department of Rangeland and Watershed Management, Faculty of Water & Soil Faculty, University of Zabol, Zabol, Iran
3- Department of Rangeland and Watershed Management, Faculty of Water & Soil, University of Zabol, Zabol, Iran
Abstract: (5387 Views)
Aims: Drought has become a main concern in Iran. The drought is posing a serious threat to life in Sistan and Baluchestan Province. This study aimed to evaluate the severity and extent of drought in Sistan and Baluchestan Province, Southeastern Iran.
Materials and Methods: Standardized precipitation index (SPI) and reconnaissance drought index (RDI) were used to determine the severity, duration, and extent of drought in Sistan and Baluchestan Province. Seven synoptic stations located across the province with data period of 2001–2012 were used in monthly timescale. DrinC software was used to calculate SPI and RDI indices. Drought zoning maps were generated using ArcGIS software.
Findings: Iranshahr and Saravan stations showed the most severe drought in 2003–2004 water year and Nikshahr station had the lowest drought severity in the same water year. The drought zoning maps indicated that the lowland areas and plains, especially in the southwestern part of the province and Iranshahr and Nikshahr stations, were vulnerable at the time of drought occurrence.
Conclusion: Both drought indices behaved similarly, but the RDI index was more sensitive in a specific climate condition due to using potential evapotranspiration of reference crop. It can be recommended that the RDI index can be used as an appropriate indicator for drought monitoring in Sistan and Baluchestan Province.
Materials and Methods: Standardized precipitation index (SPI) and reconnaissance drought index (RDI) were used to determine the severity, duration, and extent of drought in Sistan and Baluchestan Province. Seven synoptic stations located across the province with data period of 2001–2012 were used in monthly timescale. DrinC software was used to calculate SPI and RDI indices. Drought zoning maps were generated using ArcGIS software.
Findings: Iranshahr and Saravan stations showed the most severe drought in 2003–2004 water year and Nikshahr station had the lowest drought severity in the same water year. The drought zoning maps indicated that the lowland areas and plains, especially in the southwestern part of the province and Iranshahr and Nikshahr stations, were vulnerable at the time of drought occurrence.
Conclusion: Both drought indices behaved similarly, but the RDI index was more sensitive in a specific climate condition due to using potential evapotranspiration of reference crop. It can be recommended that the RDI index can be used as an appropriate indicator for drought monitoring in Sistan and Baluchestan Province.
Article Type: مقاله Ø§Ø³ØªØ®Ø±Ø§Ø Ø´Ø¯Ù‡ از پایان نامه |
Subject:
Aquatic Ecology
Received: 2017/11/12 | Accepted: 2018/07/17 | Published: 2018/07/17
Received: 2017/11/12 | Accepted: 2018/07/17 | Published: 2018/07/17
References
1. Akbari M, Ownegh M, Asgari H, Sadoddin A, Khosravi H. Drought monitoring based on the SPI and RDI indices under climate change scenarios (Case study: Semi-arid areas of West Golestan province). Ecopersia. 2016;4(4):1585-602. [Link] [DOI:10.18869/modares.ecopersia.4.4.1585]
2. Ghorbani Aghdam M, Dinpazhuh Y, Fakheri Fard A, Darbandi S. Regionalization of Urmia lake basin from the view of drought using factor analysis. J Water Soil. 2012;26(5):1268-76. [Persian] [Link]
3. Asadi Zarch MA, Malekinezhad H, Mobin MH, Dastorani MT, Kousari MR. Drought monitoring by Reconnaissance Drought Index (RDI) in Iran. Water Resour Manag. 2011;25:3485. [Link] [DOI:10.1007/s11269-011-9867-1]
4. Vangelis H, Tigkas D, Tsakiris G. The effect of PET method on Reconnaissance Drought Index (RDI) calculation. J Arid Environ. 2013;88:130-40. [Link] [DOI:10.1016/j.jaridenv.2012.07.020]
5. Piri H, Abbaszadeh M, Rahdari V, Maleki S. Comparative evaluation of four meteorological drought indices using the cluster analysis (Case study: Sistan and Baluchestan). Water Eng. 2013;6(17):25-36. [Persian] [Link]
6. Mohammadi A, Azhdari Moghadam M. The study of drought indices SPI and RDI in a case study. 9th International Congress on Civil Engineering, Isfahan University of Technology. Isfahan: Isfahan University of Technology; 2012. [Persian]. [Link]
7. Bahraini Motlagh M, Molaeinia MR, Soltani J, Jamshidi A. Determination of the most suitable geostatistics method for mapping of TDS and TH variations in groundwater, case study in Fassa county. 11th Global Irrigation Seminar and Evaporation Reduction. Kerman: Shahid Bahonar University of Kerman; 2012. [Persian] [Link]
8. Youssefi H, Nohegar A, Khosravi Z, Azizabadi Farahani M. Drought modeling and management using SPI and RDI indexes (Case study: Markazi province). Ecohydrology. 2015;2(3):337-44. [Persian] [Link]
9. Hatefi A, Mossaedi A, Jabbari Nooghabi M. The role of evapotranspiration in meteorological drought monitoring in some climatic regions of the country. J Water Soil Conserv. 2016;23(2):1-21. [Persian] [Link]
10. Reza SK, Sarkar D, Baruah U, Das TH. Evaluation and comparison of ordinary kriging and inverse distance weighting methods for prediction of spatial variability of some chemical parameters of Dhalai district, Tripura. Agropedology. 2010;20(1):38-48. [Link]
11. Shokoohi A, Morovati R. An investigation on the Urmia Lake basin drought using RDI and SPI indices. Watershed Eng Manag. 2014;6(3):232-46. [Persian] [Link]
12. Tsakiris G, Pangalou D, Vangelis H. Regional drought assessment based on the Reconnaissance Drought Index (RDI). Water Resour Manag. 2007;21(5):821-33. [Link] [DOI:10.1007/s11269-006-9105-4]
13. Zarco-Perello S, Simões N. Ordinary kriging vs inverse distance weighting: Spatial interpolation of the sessile ommunity of Madagascar reef, Gulf of Mexico. PeerJ. 2017;5:e4078. [Link] [DOI:10.7717/peerj.4078]
14. Tsakiris G, Vangelis H. Establishing a drought index incorporating evapotranspiration. Eur Water. 2005;9(10):3-11. [Link]
15. Mahesh Babu C. Critical appraissal of meteorological drought indices: A case study on the Ananthapur district. Int J Adv Res. 2016;4(3):1705-17. [Link]
16. Applied meteorology research center of Sistan and Baluchestan province (drought climatology group). Climatic classification of Sistan and Baluchestan province [Internet]. Zahedan: Meteorology Department of Sistan and Baluchestan Province; year? [Cited Year?, Day? Month?]. Available from: http://www.sbmet.ir/userfiles/uploads/climatesb.pdf. [Link]
17. Edossa DC, Babel MS, Guopta AD. Drought analysis in the Awash river basin, Ethiopia. Water Resour Manag. 2010;24(7):1441-60. [Link]
18. Bazrafshan J. A comparative study of some meteorological drought indices in some Iranian climatic samples [Dissertation]. Tehran: University of Tehran; 2002. [Persian]. [Link]
19. Hayes MJ, Svoboda MD, Wilhite DA, Vanyarkho O. Monitoring the 1996 drought using the standardized precipitation index. Bull Am Meteorol Soc. 1999;80(3):429-38.
https://doi.org/10.1175/1520-0477(1999)080<0429:MTDUTS>2.0.CO;2 [Link] [DOI:10.1175/1520-0477(1999)0802.0.CO;2]
20. Tigkas D, Vangelis H, Tsakiris G. DrinC: A software for drought analysis based on drought indices. Earth Sci Info. 2015;8(3):697-709. [Link] [DOI:10.1007/s12145-014-0178-y]
21. Shokoohi A. Comparison of SPI and RDI in drought analysis in local scale with emphasizing on agricultural drought (Case study: Qazvin and Takestan). Iran Irrig Water Eng. 2012;3(9):111-22. [Persian] [Link]
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