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Paylaştırılmış entropi kavramının kuraklık ölçütü olarak kullanılabilirliği

Applicability of apportionment entropy as a drought index

Journal Name:

Publication Year:

DOI: 
10.5505/pajes.2016.80664
Abstract (2. Language): 
Drought is one of the most important natural disasters. The main aim of the present study is to investigate the applicability of the Apportionment Entropy (AE) as a drought index. For this purpose, the Standard Precipitation Index (SPI) and the AE method as a drought indices were investigated and compared for monthly precipitation data in Northern Aegean Region. In the presented study, 29 gauging stations with long term observations are evaluated in Northern Aegean Region. The results of the study showed that PE method can be used as a drought index and the analysis of drought results contributed to the identification of drought periods for the Northern Aegean Region.
Abstract (Original Language): 
Kuraklık, en önemli doğal afetlerden biridir. Sunulan çalışmanın temel amacı, kuraklık ölçütü olarak Paylaştırılmış Entropinin (PE) kullanılabilirliğini araştırmaktır. Bu amaçla, Kuzey Ege bölgesindeki istasyonların yağış gözlem verilerinden hareketle, Standart Yağış İndeksi (SYİ), ve PE kuraklık indeksleri belirlenerek karşılaştırılmıştır. Sunulan çalışmada, Kuzey Ege Bölgesinde uzun süreli yağış verileri olan 29 istasyon ele alınmıştır. Çalışmanın sonuçları, bir yandan PE yönteminin kuraklık ölçütü olarak kullanılabileceğine ilişkin sonuçlar verirken; diğer yandan Kuzey Ege Bölgesi için kuraklık döngülerinin belirlenmesine katkıda bulunmuştur.
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REFERENCES

References: 

[1] Sırdaş S, Şen Z. "Spatio-temporal drought analysis in the Trakya region, Turkey". Hydrological Sciences-Journal-des Sciences Hydrologiques, 48(5), 809-821, 2003.
[2] McKee TB, Doesken NJ, Kleist J. “The relationship of drought frequency and duration to time steps”. Preprints, 8th Conference on Applied Climatology, Anaheim, California, 17-22 January, 1993.
[3] Mckee TB, Doesken NJ, Kleist J. “Drought monitoring of climate”. Geographical Reviews, 38(1), 55-94, 1995.
[4] Keyantash J, Dracup J. “The quantification of drought: An evaluation of drought indices”. Bulletin of the American Meteorological Society, 83(8), 1167-1180, 2002.
[5] Wu H, Hayes MJ, Weiss A, Hu Q. “An evaluation of the standardized precipitation index, the China-Z index and the statistical Z-score”. International Journal of Climatology, 21(6), 745-758, 2001.
[6] Wu H, Hayes MJ, Wilhite DA, Svoboda MD. “The effect of the length of record on the standardized precipitation index calculation”. International Journal of Climatology, 25(4), 505-520, 2005.
[7] Vicente-Serrano SM, González-Hidalgo JC, DeLuis M, Raventós J. “Drought patterns in the Mediterranean area: the Valencia region (eastern Spain)”. Climate Research, 26(1), 5-15, 2004.
[8] Cancelliere A, DiMauro G, Bonaccorso B, Rossi G. “Drought forecasting using the Standardized Precipitation Index”. Water Resources Management, 21(5), 801-819, 2007.
[9] Raziei T, Saghafian B, Paulo AA, Pereira LS, Bordi I. “Spatial Patterns and Temporal Variability of Drought in Western Iran”. Water Resources Management, 23(3), 439-455, 2009.
[10] Liu L, Hong Y, Bednarczyk NC, Yong B, Shafer AM, Riley R, Hocker EJ. “Hydro-Climatological Drought Analyses and Projections Using Meteorological and Hydrological Drought Indices: A Case Study in Blue River Basin, Oklahoma”. Water Resources Management, 26(1), 2761-2779, 2012.
[11] Zhang Q, Xiao M, Singh VP, Li J. “Regionalization and spatial changing properties of droughts across the Pearl River basin, China”. Journal of Hydrology, 472-473, 355-356, 2012.
[12] Bacanlı UG. “Entropy based assessment and Palmer drought severity index of drought analysis”. Scientific Research and Essays, 7(44), 3823-3833, 2012.
[13] Sensoy S. “Türkiye İklimi”. 2000 DMİ web Sitesi. http://www.meteor.gov.tr/2005/genel/iklim/turkiyeiklimi.htm (2000).
[14] Wehrl A. “General properties of entropy”. Reviews of Modern Physics, 50(2), 221-260, 1978.
[15] Schrader R. “On a quantum version of Shannon’s conditional entropy”. Fortschritte der Physik, 48(5-7), 747-762, 2000.
[16] Shannon C, Weaver W. “The Mathematical Theory of Communication”. The University of Illinois Press, Urbana, Illinois, 1949.
[17] Singh VP. “The use of entropy in hydrology and water resources”. Hydrological Processes, 11(6), 587-626, 1997.
[18] Singh VP. Entropy Measures, Maximum Entropy Principle and Emerging Applications. Editors: Karmeshu. The Entropy Theory as a Decision Making Tool in Environmental and Water Resources, 261-297. Berlin, Almanya, Springer-Verlag, 2003.
[19] Karmeshu Pal NR. Entropy Measures, Maximum Entropy Principle and Emerging Applications. Editors: Karmeshu. Uncertainty, entropy and maximum entropy principal-An overview, 1-53. Berlin, Almanya, Springer-Verlag, 2003.
[20] Baran T, Bacanlı UG. “An entropy approach for diagnostic checking in time series analysis”. Water SA, 33(4), 487-496, 2007.
[21] Kawachi T, Maruyama T, Singh VP. “Rainfall entropy for delineation of water resources zones in Japan”. Journal of Hydrology, 246(1-4), 36-44, 2001.
[22] Maruyama T, Kawachi T, Singh VP. “Entropy-based assessment and clustering of potential water resources availability”. Journal of Hydrology, 309(1-4), 104-113, 2005.
[23] Bacanlı UG, Dikbas F, Baran T. “Entropi yöntemini kullanarak kuraklık parametrelerinin belirlenmesi: Kuzey Ege örneği”. TÜBİTAK ÇAYDAG 107Y348 Proje Raporu, Ankara, Türkiye, 174, 2009.
[24] Bacanli UG. “Dryness characterization: A climatic water deficit approach in Turkey”. Fresenius Environmental Bulletin, 20(3), 665-677, 2011.
[25] Bacanlı UG, Dikbas F, Baran T. “Kuraklık analizinde entropi yöntemi”. VII. Ulusal Hidroloji Kongresi, Isparta, Türkiye, 26-27 Eylül 2013.

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