• Hedieh Ahmadpari

  • Vitaly Khaustov

  1. Department of Engineering Hydrology, Institute of Hydrology and Oceanology, Russian State Hydrometeorological University, Saint Petersburg, Russia

Abstract

This study evaluates meteorological and hydrological droughts in the Darreh Dozdan River Basin (DDRB) in Iran, while also investigating the relationship between these two types of droughts. Additionally, the study aims to assess the effectiveness of gamma and log-normal distributions in estimating the values of the Streamflow Drought Index (SDI). In this study, monthly streamflow and precipitation data from the Tange Siab station for the years 1970 to 2022 were used to monitor hydrological and meteorological drought. Six indices available in the DIP software were used to monitor meteorological drought, while hydrological drought was assessed with the SDI and DrinC software. To investigate the relationship between meteorological and hydrological drought, the Pearson correlation test was used. The results indicated that the Standardized Precipitation Index (SPI) and the China-Z Index (CZI), with a determination coefficient of approximately 0.7, are the most suitable indices for assessing meteorological drought in the DDRB. The findings showed that the DDRB has experienced meteorological and hydrological droughts for 9 and 25 years, respectively, with varying intensities according to the SPI and SDI indices. Furthermore, the results revealed a positive but weak correlation between meteorological and hydrological drought indices, suggesting that hydrological drought in the DDRB is primarily influenced by human activities. Additionally, both distributions had the same performance in hydrological drought classification.

Keywords

Subjects

 Hydrology

Afzali, A., Keshtkar, H., Pakzad, S., Moazami, N., Azizabadi Farahani, E., Golpaygani, A., Khosrojerdi, E., Yousefi, Z., & Taghi Naghilou, M. (2016). Spatio-temporal analysis of drought severity using drought indices and deterministic and geostatistical methods (Case Study: Zayandehroud River Basin). Desert, 21(2), 165-172. DOI: 10.22059/jdesert.2016.60325
Ahmadpari, H., Hashemi Garmdareh, S. E., & Eskafi, M. (2018). Investigating the effect of soil organic matter on gypsum block calibration for measuring soil volumetric moisture content. Journal of Rainwater Catchment Systems, 6 (1), 11-20, [In Persian].
Ahmadpari, H., Eskafi Noghany, E., Ladez, B. R., Mehrparvar, B., & Momeni, S. (2019). Kinetics modeling and isotherms for adsorption of nitrate from aqueous solution by wheat straw. Tecnologia e Ambiente, 25, 203-214. https://doi.org/10.18616/ta.v25i0.5301
Amini, A., Ali, T. M., Ghazali, A. H. B., & Huat, B. K. (2009). Adjustment of peak streamflows of a tropical river for urbanization. American Journal of Environmental Sciences, 5(3), 285-294. https://doi.org/10.3844/ajessp.2009.285.294
Amini, A., & Hesami, A. (2017). The role of land use change on the sustainability of groundwater resources in the eastern plains of Kurdistan, Iran. Environ Monit Assess, 189, 297. https://doi.org/10.1007/s10661-017-6014-3
Boroghani, M., Moradi, H., & Zangane Asadi, M. (2015). Zoning and determination of the best index in Khorasan Razavi. Arid Regions Geographic Studies, 6(19), 70-84, [In Persian].
Coughlan, M.J. (1987). Monitoring drought in Australia. In Planning for Drought: Toward a Reduction of Societal Vulnerability, Wilhite DA, Easterling WE (eds). Boulder, Colorado: Westview Press, 131–144.
Dehghani, T., Ahmadpari, H., Aghelmirrezaei, F., & Godarzi, A. (2020). Meteorological drought monitoring using several drought indices (Case study: Aligudarz county). Proceedings of ‏the 7th International Conference on Innovation in Science and Technology, 88-99, Amsterdam, Nederland.
Dehghani, T., Ahmadpari, H., Aghelmirrezaei, F., & Godarzi, A. (2020a). Analysis of Hydrological Drought Using Streamflow Drought Index (Case Study: Dez River Basin, Iran). Fifth International Conference on Food Science, Organic Agriculture and Food Security, Tbilisi, Georgia.
Esmaeili, S., Bahrami, J., & Kamali, B. (2024). The contributions of natural and anthropogenic climate change on water resources reduction in Zarrinehroud basin of Lake Urmia. Advances in Civil Engineering and Environmental Science, 1(1), 1-14. https://doi.org/10.22034/acees.2024.195339
Gibbs, W. J., & Maher, J. V. (1967). Rainfall deciles as drought indicators, Melbourne: Bureau of Meteorology, 48, 1-84.
Guidelines and criteria for classification and coding basin and study areas in Iran (No. 310). (2012). Research Office of the Iran Water Resources Management Company, Department of Technical Affairs of the Ministry of Energy, Vice Presidency for Strategic Planning and Supervision, 1-150.
Jiang, Y., & Sun, W. (2025). Day-ahead electricity price prediction and error correction method based on feature construction–singular spectrum analysis–long short-term memory. Energies, 18(4), 1-22.‏ https://doi.org/10.3390/en18040919
Kartal, V. (2023). Assessment of drought using different tests and drought indices in Elazig, Turkey. Water Sci Technol., 88(7), 1767-1794. https://doi.org/10.2166/wst.2023.315
Kartal, V., & Nones, M. (2024). Assessment of meteorological, hydrological and groundwater drought in the Konya closed basin, Türkiye. Environ Earth Sci., 83(9), 1-27. https://doi.org/10.1007/s12665-024-11587-1
Katipoğlu, O. M. (2023). Prediction of streamflow drought index for short-term hydrological drought in the semi-arid Yesilirmak Basin using wavelet transform and artificial intelligence techniques. Sustainability, 15(2), 1-24.‏ https://doi.org/10.3390/su15021109
Katipoğlu, O. M., Acar, R., & Şengül, S. (2020). Comparison of meteorological indices for drought monitoring and evaluating: a case study from Euphrates basin, Turkey. Journal of Water and Climate Change, 11(S1), 29-43. https://doi.org/10.2166/wcc.2020.171
Khazaee, M., Shahrivar, A., Najafi, S., &Vafakhah, M. (2015). Study of social and economic meteorological drought index (Case study: KohgiloyehVaBoyerahmad province). Extension and Development of Watershed Management, 3(9), 47-53, [In Persian].
Khodagholi, M., & Saboohi, R. (2018). Evaluation and comparison of drought indices and determination the suitable index in Zayandehroud Basin. Nivar, 42(102-103), 49-60, [In Persian]. https://doi.org/10.30467/nivar.2018.117878.1078
Mesbahzadeh, T., & Soleimanisardoo, F. (2018). Temporal trend study of hydrological and meteorological drought in Karkheh watershed. jwmseir, 12 (40), 105-114, [In Persian].
Mhelezi, M. R., & Limbu, P. T. (2024). Comparison of meteorological drought indices in Tanzania using the meteorological drought monitoring software package. Tanzania Journal of Engineering & Technology, 43(1), 190-203. https://doi.org/10.52339/tjet.v43i1.852
Mousavikhah, S., Shayegh, E., & Ahmadpari, H. (2020). Assessment and monitoring of meteorological drought in Saman County using DIP software. Science and Engineering Elites, 5 (3), 199-212, [In Persian].
Nazaripour, H. (2017). Calibration of rainfall-stream flow relationship for assessing and forecasting hydrological drought in Kavir-e Lut Basin, Iran. Water Resources Engineering, 9(31), 73-90, [In Persian].
Ndayiragije, J. M., & Li, F. (2022). Effectiveness of drought indices in the assessment of different types of droughts, managing and mitigating their effects. Climate, 10(9), 1-21.‏ https://doi.org/10.3390/cli10090125
Nikdad, P., Mohammadi Ghaleni, M., & Moghaddasi, M. (2022). Standardized soil moisture agricultural drought index modification based on probability distributions to using in different climates of Iran. Journal of Water and Soil Conservation, 29(3), 45-65, [In Persian]. https://doi.org/10.22069/jwsc.2023.20715.3586
Raziei, T., Daneshkar Arasteh, P., Akhtari, R., & Saghafian, B. (2007). Investigation of meteorological droughts in the Sistan and Balouchestan Province, using the standardized precipitation index and Markov chain model. Iran-Water Resources Research, 3(1), 25-35, [In Persian].
Rindramampionona, F. A. R., Rakotoarivelo, M. M., Popov, H., Tsiavahananahary, J., & De Rolland, L. A. R. (2024). Climate variability and water availability in Ambositra, Amoron’i Mania Madagascar. European Journal of Environment and Earth Sciences, 5(3), 28-33. https://doi.org/10.24018/ejgeo.2024.5.3.423
Shariati, G., Haghizadeh, A., Zalbegi, S., & Kiani, E. (2025). Comparative assessment of weights of evidence and statistical index models for groundwater potential mapping in the Dehgolan Plain, Iran. Advances in Civil Engineering and Environmental Science, 2(1), 33-44. https://doi.org/10.22034/acees.2025.500240.1017
Smakhtin, V. U., & Hughes, D. A. (2007). Automated estimation and analyses of meteorological drought characteristics from monthly rainfall data. Environmental Modelling & Software, 22(6), 880-890. https://doi.org/10.1016/j.envsoft.2006.05.013
Triola, M.F. (1995). Elementary Statistics. Addison-Wesley: Reading, MA, USA, 691–693.
Yisfa, T., Tekleyohannes, M., Grum, B., Yemane, S., Berhe, G. T., Goitom, H., & Abebe, B. A. (2024). Multi‐index assessment of hydrometeorological droughts in the Tekeze River Basin, Northwestern Ethiopia. Advances in Meteorology, 2024(1), 1-20.‏  https://doi.org/10.1155/2024/9014278
Zarei, M., & Solaimani Sardo, M. (2022). Evaluation of meteorological indices and interpolation methods to drought monitoring and zoning in Arid and Semi-Arid Regions (A Case Study: Qoum-Kahak Basin). Desert Ecosystem Engineering, 7(21), 59-74, [In Persian]. https://doi.org/10.22052/deej.2018.7.21.45