ارائه و ارزیابی شاخص جدید MRDI در پایش خشک‌سالی (مطالعة موردی: حوضة گرگان‌رود)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد مهندسی منابع آب دانشگاه تهران

2 دانشیار گروه مهندسی آبیاری و آبادانی دانشگاه تهران

3 استادیار گروه مهندسی آبیاری و آبادانی دانشگاه تهران

چکیده

استفاده از شاخص‌‌های خشک‌سالی به منظور شناسایی، پایش، و جلوگیری از آثار خشک‌سالی در مقیاس‌های مختلف زمانی و مکانی بسیار مهم است. هدف پژوهش حاضر ارائه و ارزیابی یک شاخص جدید خشک‌سالی، به نام MRDI، و مقایسة آن با شاخص MSPI بر اساس شاخص‌های بارش استانداردشدة SPI و شناسایی خشک‌سالی در مقیاس‌‌های زمانی مختلف با رویکرد آماری PCA در حوضة آبریز گرگان‌رود است. بر اساس نتایج، شاخص جدید چندمتغیرة زمانی MRDI و شاخص چندمتغیرة زمانی MSPI، به دلیل لحاظ متغیرهای زمانی مؤثر، نسبت به شاخص‌های تک‌متغیرة SPI و RDI تحلیل‌هایی دقیق‌تر و آسان‌تر دارند. مقایسة نتایج MRDI و MSPI بر مبنای آزمون‌ ناپارامتری کلموگروف‌ـ اسمیرنوف نشان می‌دهد تفاوتی معنا‌دار بین آن‌ها وجود ندارد و بیش از 90 درصد مواقع رفتاری مشابه دارند. بررسی میزان این تشابه به تکرار این پژوهش در حوضه‌های معرف دیگر نیاز دارد.
 

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Introduction and Assessment of a New Drought Monitoring Index, MRDI (Case Study: Gorganroud Basin, Iran)

نویسندگان [English]

  • Hossein Dehban 1
  • Kumars Ebrahimi 2
  • Shahab Araghinejad 3
1 MSc Student of Water Resources Engineering, University of Tehran
2 Associate Professor, Irrigation and Reclamation Engineering Department, University of Tehran
3 Assistant Professor, Irrigation and Reclamation Engineering Department, University of Tehran
چکیده [English]

In order to avoid drought effects, it is essential to detect and monitor the spatial and
temporal changes of the phenomenon. In General, drought indices are made use of to
achieve the goals. The main aim followed in this paper is to introduce and assess a new
drought index termed MRDI. MRDI (Modified Reconnaissance Drought Index) is then
compared with Modified Standardized Precipitation Index (MSPI), as based on the
Standardized Precipitation Index (SPI) and the Reconnaissance Drought Index (RDI),
involving a well-known statistical technique named Principal Component Analysis
(PCA). Gorganroud basin, Iran, is taken as a Case Study. According to the obtained
results, the new MRDI and also MSPI multivariate indices have shown to be of more
accurate results and are also easier to use than the SPI and RDI univariant indices. A
comparison of MRDI and MSPI results, as based upon the non-parametric Kolmogorov–
Smirnov test in Gorganroud basin, has revealed that, there is no significant difference
between them with their behavior similar in more than 90% of the cases. An evaluation
and verification of the results of the study needs to be repeated in other representative
basins.

کلیدواژه‌ها [English]

  • Drought
  • Time Multivariate Index
  • Principal component analysis
Bazrafshan, J., Hejabi, S., and Rahimi, J. (2014). Drought Monitoring Using the Multivariate Standardized Precipitation Index (MSPI). Water Resources Management, 28(4), 1045-1060.
Bonaccorso, B., Bordi, I., Cancelliere, A., Rossi, G., and Sutera, A. (2003). Spatial variability of drought: an analysis of the SPI in Sicily. Water resources management, 17(4), 273-296.
Cancelliere, A., Di Mauro, G., Bonaccorso, B., and Rossi, G. (2007). Drought forecasting using the standardized precipitation index. Water resources management, 21(5), 801-819.
Changnon, S. A. and Easterling, W. E. (1989). ‘Measuring drought impacts: The Illinois case’,WaterResources Bulletin25,27–42.
Drought effects Reduction in Iran. Pooneh Publication, (In Farsi).
Iranian Forests, Range and Watershed Management Organization (2004). National Action on Desertification and Jamab (Consulting Engineers Company). (2005). Comprehensive program studiesofadaptation toclimate, The present situationand the futurewater resources Gorganroud-Gharehsou RiversBasin, (In Farsi).
Karamouz, M. and Araghinejad, Sh. (2005). Analysis Advanced Hydrology (2thEdition), Amirkabir University Publication (Tehran, Iran) 375, (In Farsi).
Keyantash, J. A. and Dracup, J. A. (2004). An aggregate drought index: Assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage. Water Resources Research, 40(9).
Khalili, A. and Bazrafshan, J. (2003). Evaluationandperformance ofseveralmeteorologicaldrought index in different climatesof Iran. Nivar Publication(Tehran). No.(48, 48), (In Farsi).
Labedzki, L. (2007). Estimation of local drought frequency in central Poland using the standardized precipitation index SPI. Irrig. Drain. 56:67–77.
Martins, D. S., Raziei, T., Paulo, A. A., and Pereira, L. S. (2012). Spatial and temporal variability of precipitation and drought in Portugal. Natural Hazards and Earth System Science, 12(5), 1493-1501.
McKee, T. B., Doesken, N. J., and Kleist, J. (1993). The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology (Vol. 17, No. 22, 179-183). Boston, MA: American Meteorological Society.
Mishra, A. K. and Singh, V. P. (2010). A review of drought concepts. Journal of Hydrology, 391(1), 202-216.
Panu, U. S. and Sharma, T. C. (2002). Challenges in drought research: some perspectives and future directions. Hydrological Sciences Journal, 47(S1), S19-S30.
Shamsnia, S. A. (2014). Comparison of Reconnaissance Drought Index (RDI) and Standardized Precipitation Index (SPI) for Drought monitoring in arid and semiarid regions. Indian Journal of Fundamental and Applied Life Sciences ISSN: 2231-6345 Vol. 4 (3) July-September, pp.39-44, (In Farsi).
Sharma, S. (1996). Applied Multivariate Techniques, John Wiley & Sons, Inc., New York, NY.
Shokohi, A. (2012). Comparison of Reconnaissance Drought Index (RDI) and Standardized Precipitation Index (SPI) for Drought monitoring in thestation scale relying onagriculturaldrought. Journal of Irrigation and Water Engineering, 3(9), (In Farsi).
Smith, L. I. (Eds.) (2002). A tutorial on Principal Components Analysis, Computer sciences, 26, University of Otago, New Zealand.
Snedecor, George W. and Cochran, William G. (1989). Statistical Methods, Eighth Edition, Iowa State UniversityPress. ISBN 978-0-8138-1561-9.
Szalai, S., Szinell, C. S., and Zoboki, J. (2000). ‘Drought monitoring in Hungary’, inEarly warningsystems for drought preparedness and drought management.World Meteorological Organization.Lisboa, 182–199.
Tsakiris, G., Pangalou, D., and Vangelis, H. (2007). Regional drought assessment based on the Reconnaissance Drought Index (RDI). Water Resources Management, 21(5), 821-833.
Wilhite, D. A. and Glantz, M. H. (1985). Understanding: the drought phenomenon: the role of definitions. Water international, 10(3), 111-120.