Journal of Drought and Climate change Research

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Evaluation of Different Drought Indices to Find the Mos t Applicable Index (Case Study:Aleshtar Plain)

Document Type : Original Article

Authors

1 PhD student in watershed engineering (water and soil conservation), Department of Natural Engineering, Faculty of Natural Resources, Shahrekord University, Shahrekord, Iran

2 Associate Professor, Department of Geology, Faculty of Basic Sciences, Islamic Azad University, Khorramabad Branch, Khorramabad, Iran

3 Master's degree in Watershed Engineering, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Mazandaran, Iran

Abstract

One of the main challenges in monitoring drought is determining an index that is highly reliable based on the monitoring objective. Assessment and drought monitoring is considered one of the most important tools for drought management, as it can determine the start and end, spatial extent, and intensity of its effects. It can also help in identifying the need for drought response plans and determining the formation time of a drought monitoring and response committee. In this study, the meteorological drought was investigated using drought indices such as ZSI, MCZI, CZI, PN, DI, and SPI in the Aleshtar plain. Daily precipitation values from three stations, Aleshtar, Kaka‌Reza, and Sarabsead Ali, were collected for the period 2001-2021. After analyzing the annual precipitation trend at each station, the duration and maximum severity of drought were determined using meteorological drought indices. To evaluate the performance of these indices and select the most applicable index for the region, the minimum hypothesis was used. According to the results, the CZI index performed better than the other indices by correctly estimating one out of four cases. following Spearman's correlation between precipitation parameters and drought indices was investigated, the results showed a significant correlation between all indices at all stations except for MCZI, which had poor performance. Finally, considering the total scores, the CZI index, which obtained 21 points out of the total tests, was selected as the superior index for the region. The SPI and ZSI indices also yielded satisfactory and accurate results in this area.

Keywords

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References
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Delfardi, S. and Sidi, M. (2015). Evaluation of different methods of choosing the appropriate drought index using data from Jiroft and Kohnuj stations, Newar, 40(94-95(, 59-68. pp. doi:10.30467/nivar.2016.42660. [In Persian].
Edwards, D. C. and McKee, T.B. (1997). Characteristics of 20th century drought in the United States at multiple time scales. May 1997. https://mountainscholar.org/items/842b69e8-a465-4aeb-b7ec-021703baa6af. http://hdl.handle.net/10217/170176
Ensafi Moghadam, T. (2007). Evaluating several climate drought indicators and determining the most suitable indicator in the Salt Lake basin, Quarterly Scientific Research Journal of Pasture and Desert Research in Iran, 14(2), 271-288. [In Persian].
Gazori, H.M., Mousavi, S. F. and Hosseini, K.h. (2022). Investigating different drought indices to find the most applicable index (case study: Damghan city), Iranian Water Research Journal, 16(2), 45-33. [In Persian].
Gibbs, W. J. and Maher, J. V. (1967). Rainfall deciles as drought indicators. Bureau of Meteorology, Commonwealth of Australia, Melbourne.
Gumus, V., Dinsever, L.D. and Avsaroglu, Y. (2023). Analysis of drought characteristics and trends during 1965–2020 in the Tigris River basin, Turkey, Theoretical and Applied Climatology, 151(3-4), 1871–1887. https://doi.org/10.1007/s00704-023-04363-x
Hadiani, M.A. (2022). Hydrological drought severity classification with SMMD index 30 (case study of rivers with glacial snow flow regime in Mazandaran province), Renewable Natural Resources Research Journal, 12 (2), 36-47. [In Persian].
Haque Mondol, M. A., Zhu, X., Dunkerley, D. and Henley, B. (2021). Observed meteorological drought trends in Bangladesh identified with the Effective Drought Index (EDI), Agricultural Water Management, 255, 107-117. https://doi.org/10.1016/j.agwat.2021.107001
Kariminazar, M., Moghadamnia, A.R. and Mosaedi, A. (2010). Investigating climatic factors affecting the occurrence of drought (case study: Zabul), Journal of water and soil protection research, 17(1), 145-158. [In Persian].
Keshavarz, M., Vazife dost, M., Fatahi, A. and Bahayar, M. (2013). The distribution pattern of the direction and severity of drought changes in Iran with the help of Palmer's drought severity distribution index, Applied research of science geography, 12(27), 11-97. [In Persian].
Khalili, A. and Bazre afshan, J. (2003). Evaluating the efficiency of several meteorological drought indices in different climatic samples of Iran, Newar, 28 (48-49), 93-79. [In Persian].
Mashhadi Heydar, S., Muntsari, M. & Hijabi, S. (2023). The propagation time of meteorological droughts to hydrological and hydrogeological droughts in the Nazlochai sub-basin, New researches in sustainable water engineering, 1(2), 127-117. [In Persian].
Mckee, T. B., Doesken, N. J. and Kleist, J. (1993). Drought monitoring with multiple timescales. 179- 184. Preprints, Eighth Conference on Applied Climatology, 17-22 January, American Meteorological Society, Anaheim, California.
Pazhanivelan, S., Geethalakshmi, V., Samykannu, V., Kumaraperumal, R., Kancheti, M., Kaliaperumal, R., Raju, M. and Yadav, M.K. (2023). Evaluation of SPI and Rainfall Departure Based on Multi-Satellite Precipitation Products for Meteorological Drought Monitoring in Tamil Nadu, Water, 15(7), 1435. https://doi.org/10.3390/w15071435
Seidi, M. and Delfardi, S. (2016). Evaluating different methods of choosing the appropriate drought index using Data from Jiroft and Kohnuj satellite stations, Scientific and promotional magazine of Newar, 40(94-95), 59-68. [In Persian].
Steinmann, A. (2003). Drought indicators and triggers: A stochastic approach to evaluation, Journal of the American WaterResources Association, 39(5), 1217-1233.
Valipour, L., Naserin, A. and Jalili, S. (2022). Investigating the relationship between hydrological drought and electrical conductivity of the river in the downstream stations of the Karkheh River, Journal of Ecohydrology, 9(4), 815-831. [In Persian].
Werike, W. J., Willeke, G. E., Guttman, N.B., Hosking, R. M. and Wallis, J. R. (1994). The national drought atlas, Advancing Earth and Space Sciences, 8(75), 89-90. https://doi.org/10.1029/94EO00706
Wilhite, D.A. and Glantz, M.H. (1985). Understanding: The drought phenomenon The role of definitions, Water International, 3(10),111–20
Azarakhshi, M. and Farzadmehr, J. (2022). Assessment the relation of meteorological and hydrological drought in Khorasan Razavi province, Journal of Range and Watershed Management, 74(4), 689-702. [In Persian].
Delfardi, S. and Sidi, M. (2015). Evaluation of different methods of choosing the appropriate drought index using data from Jiroft and Kohnuj stations, Newar, 40(94-95(, 59-68. pp. doi:10.30467/nivar.2016.42660. [In Persian].
Edwards, D. C. and McKee, T.B. (1997). Characteristics of 20th century drought in the United States at multiple time scales. May 1997. https://mountainscholar.org/items/842b69e8-a465-4aeb-b7ec-021703baa6af. http://hdl.handle.net/10217/170176
Ensafi Moghadam, T. (2007). Evaluating several climate drought indicators and determining the most suitable indicator in the Salt Lake basin, Quarterly Scientific Research Journal of Pasture and Desert Research in Iran, 14(2), 271-288. [In Persian].
Gazori, H.M., Mousavi, S. F. and Hosseini, K.h. (2022). Investigating different drought indices to find the most applicable index (case study: Damghan city), Iranian Water Research Journal, 16(2), 45-33. [In Persian].
Gibbs, W. J. and Maher, J. V. (1967). Rainfall deciles as drought indicators. Bureau of Meteorology, Commonwealth of Australia, Melbourne.
Gumus, V., Dinsever, L.D. and Avsaroglu, Y. (2023). Analysis of drought characteristics and trends during 1965–2020 in the Tigris River basin, Turkey, Theoretical and Applied Climatology, 151(3-4), 1871–1887. https://doi.org/10.1007/s00704-023-04363-x
Hadiani, M.A. (2022). Hydrological drought severity classification with SMMD index 30 (case study of rivers with glacial snow flow regime in Mazandaran province), Renewable Natural Resources Research Journal, 12 (2), 36-47. [In Persian].
Haque Mondol, M. A., Zhu, X., Dunkerley, D. and Henley, B. (2021). Observed meteorological drought trends in Bangladesh identified with the Effective Drought Index (EDI), Agricultural Water Management, 255, 107-117. https://doi.org/10.1016/j.agwat.2021.107001
Kariminazar, M., Moghadamnia, A.R. and Mosaedi, A. (2010). Investigating climatic factors affecting the occurrence of drought (case study: Zabul), Journal of water and soil protection research, 17(1), 145-158. [In Persian].
Keshavarz, M., Vazife dost, M., Fatahi, A. and Bahayar, M. (2013). The distribution pattern of the direction and severity of drought changes in Iran with the help of Palmer's drought severity distribution index, Applied research of science geography, 12(27), 11-97. [In Persian].
Khalili, A. and Bazre afshan, J. (2003). Evaluating the efficiency of several meteorological drought indices in different climatic samples of Iran, Newar, 28 (48-49), 93-79. [In Persian].
Mashhadi Heydar, S., Muntsari, M. & Hijabi, S. (2023). The propagation time of meteorological droughts to hydrological and hydrogeological droughts in the Nazlochai sub-basin, New researches in sustainable water engineering, 1(2), 127-117. [In Persian].
Mckee, T. B., Doesken, N. J. and Kleist, J. (1993). Drought monitoring with multiple timescales. 179- 184. Preprints, Eighth Conference on Applied Climatology, 17-22 January, American Meteorological Society, Anaheim, California.
Pazhanivelan, S., Geethalakshmi, V., Samykannu, V., Kumaraperumal, R., Kancheti, M., Kaliaperumal, R., Raju, M. and Yadav, M.K. (2023). Evaluation of SPI and Rainfall Departure Based on Multi-Satellite Precipitation Products for Meteorological Drought Monitoring in Tamil Nadu, Water, 15(7), 1435. https://doi.org/10.3390/w15071435
Seidi, M. and Delfardi, S. (2016). Evaluating different methods of choosing the appropriate drought index using Data from Jiroft and Kohnuj satellite stations, Scientific and promotional magazine of Newar, 40(94-95), 59-68. [In Persian].
Steinmann, A. (2003). Drought indicators and triggers: A stochastic approach to evaluation, Journal of the American WaterResources Association, 39(5), 1217-1233.
Valipour, L., Naserin, A. and Jalili, S. (2022). Investigating the relationship between hydrological drought and electrical conductivity of the river in the downstream stations of the Karkheh River, Journal of Ecohydrology, 9(4), 815-831. [In Persian].
Werike, W. J., Willeke, G. E., Guttman, N.B., Hosking, R. M. and Wallis, J. R. (1994). The national drought atlas, Advancing Earth and Space Sciences, 8(75), 89-90. https://doi.org/10.1029/94EO00706
Wilhite, D.A. and Glantz, M.H. (1985). Understanding: The drought phenomenon The role of definitions, Water International, 3(10),111–20
Journal of Drought and Climate change Research
Volume 1, Issue 4 - Serial Number 4
February 2024
Pages 71-86
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History
  • Receive Date: 13 September 2023
  • Revise Date: 14 October 2023
  • Accept Date: 09 October 2023
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