نوع مقاله : پژوهشی

نویسندگان

1 دانشجوی دکتری تخصصی رشته علوم و مهندسی آبخیزداری، گروه مهندسی طبیعت، دانشکده منابع طبیعی و علوم زمین، دانشگاه کاشان، کاشان، ایران

2 دانشیار رشته علوم و مهندسی آبخیزداری، گروه مهندسی طبیعت، دانشکده منابع طبیعی و علوم زمین، دانشگاه کاشان، کاشان، ایران

3 استاد رشته علوم و مهندسی آبخیزداری، گروه مهندسی طبیعت، دانشکده منابع طبیعی و علوم زمین، دانشگاه کاشان، کاشان، ایران

10.22034/hyd.2024.62269.1746

چکیده

خشکسالی، یکی از پیچیده‌ترین پدیده‌های آب و هوایی است که می‌تواند در اکثر مناطق جهان رخ دهد؛ اما تأثیر آن در مناطق خشک و نیمه‌خشک بیشتر است و بررسی آن، در مدیریت منابع آب بسیار حائز اهمیت است. در این پژوهش، وضعیت خشکسالی هواشناسی و هیدرولوژیکی در حوضه‌های قم- کهک، نیزار- سلفچگان، مرودشت- خرامه و بیضا- زرقان واقع در حوضه آبریز فلات مرکزی با استفاده از شاخص‌های SPI، SPEI، RDI و SSI در مقیاس‌های زمانی 1، 6 و 12 ماهه طی دوره آماری 2004 تا 2023 محاسبه گردید. نتایج نشان داد که بیش از 95 درصد ایستگاه‌های مطالعاتی، تمامی وضعیت‌های ترسالی بسیار شدید تا خشکسالی بسیار شدید را تجربه کرده‌اند. شاخص SPI در مقیاس زمانی 1 ماهه در کلیه ایستگاه‌های مطالعاتی و شاخص SPEI در مقیاس زمانی 6 ماهه در 3/83 درصد ایستگاه‌ها و در مقیاس زمانی 12 ماهه در 7/67 درصد ایستگاه‌ها، خشکسالی را با شدت بیشتری نسبت به سایر شاخص‌های خشکسالی نشان داده است. بررسی فراوانی وقوع طبقات شاخص هیدرولوژیکی SSI در مقیاس زمانی 12 ماهه نشان داد که بیشترین طبقات خشکسالی در ایستگاه‌های شادآباد و خرامه مشاهده شده است. بررسی انطباقی مقادیر شاخص‌های خشکسالی هواشناسی و هیدرولوژیکی در هر یک از حوضه‌ها نشان داد که بیشترین همبستگی متقاطع بین SPI و SSI در مقیاس زمانی 12 ماهه در ایستگاه‌های سلفچگان و قلعه‌چم در تأخیر زمانی رو به جلو به اندازه گام زمانی 12 ماه برابر 574/0 و بیشترین مقدار همبستگی پیرسون در گام زمانی 12 ماهه مربوط به ایستگاه سلفچگان- قلعه‌چم (309/0= r و 001/0= p-value) است.

کلیدواژه‌ها

عنوان مقاله [English]

Assessment of Meteorological and Hydrological Drought Situation (Case Study: Sub-Basins in the Central Plateau Basin)

نویسندگان [English]

  • Roya Ahmadi 1
  • Hoda Ghasemieh 2
  • Reza Ghazavi 3

1 Ph. D Student of Watershed Management Engineering and Sciences, Department of Nature Engineering, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran

2 . Associate Professor of Watershed Management Engineering and Sciences, Department of Nature Engineering, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran

3 . Professor of Watershed Management Engineering and Sciences, Department of Nature Engineering, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran

چکیده [English]

Drought is one of the most complex meteorological phenomena that can occur in most parts of the world; however, its impact is more pronounced in arid and semi-arid regions, making its study crucial for water resource management. In this research, the meteorological and hydrological drought status in the Qom-Kahak, Neyzar-Salafchegan, Marvdasht-Kharameh, and Beyza-Zarqan basins located in the Central Plateau basin was investigated using the SPI, SPEI, RDI, and SSI indices on 1-, 6- and 12-months timescales during the statistical period of 2004 to 2023. The results indicated that more than 95% of the study stations have experienced all conditions from very wet to very severe drought. SPI index on 1-month time scale in all study stations and SPEI index on 6-month time scale in 83.3% of stations and on 12-month time scale in 67.7% of stations showed drought more severely than other drought indices. Examination of the occurrence frequency for the SSI hydrological index classes on a 12-month timescale also showed that the highest drought classes were observed in Shadabad and Kharamah stations. The comparative analysis of meteorological and hydrological drought indices in each of the basins showed that showed that the highest cross-correlation between the SPI and SSI on a 12-month timescale was observed in Salafchegan and Qaleh Cham stations with a forward time lag of 12 months equal to 0.574, and the highest pearson correlation coefficient on a 12-month timescale was for Salafchegan-Qaleh Cham stations (r = 0.309 and p-value = 0.001).

کلیدواژه‌ها [English]

  • SPEI؛ RDI؛ SSI ؛ SPI
  • Central Plateau Basin of IRAN
Azarakhshi, M., & Farzadmehr, J. (2022). Assessment the relation of meteorological and hydrological drought in Khorasan Razavi province. Journal of Range and Watershed Managment, 74(4), 689-702.
Abramowitz, M., & Stegun, I.A. (1965). Handbook of Mathematical Functions, with Formulas, Graphs, and Mathematical Tables. Dover Publications, 1046 pp.
Alemu, G., DestaSh. & Tareke, K. (2024). Characterize and analysis of meteorological and hydrological drought trends under future climate change conditions in South Wollo, North Wollo, and Oromia Zones, in Ethiopia. Heliyon, 10(8), e29694.
Azarakhshi, M., & Farzadmehr, J. (2022). Assessment the relation of meteorological and hydrological drought in Khorasan Razavi province. Journal of Range and Watershed Managment, 74(4), 689-702.
Choubin, B., Malekian, A., & Sajedi-Hosseini, F. (2016). Lag-time and effect of meteorological drought on the groundwater level. Iran- Watershed Management Science & Engineering, 10(34), 35-43.
Chan, S.Sh., Seidenfaden, I.K., Jensen, K.H. & Sonnenborg, T.O. (2021). Climate change impacts and uncertainly on spatiotemporal variation of drought indices for an irrigated catchment. Journal of Hydrology, 601, 126814.
Choubin, B., Malekian, A., & Sajedi-Hosseini, F. (2016). Lag-time and effect of meteorological drought on the groundwater level. Iran- Watershed Management Science & Engineering, 10(34), 35-43.
Das, S., Das, J., & Umamahesh, N.V., (2023). A non-stationary based approach to understand the propagation of meteorological to agricultural droughts. Water Resources Management, 37, 2483-2504.
Ebadi Nehari, Z., Erfanian, M., & Kazempour Choursi. (2023). A new method for evaluation and comprehensive drought monitoring in the Urmia Lake Basin using a Synthesized Drought Index (SDI). Applied Researches in Geographical Sciences, 23(68), 243-257.
Eghtedar Nezhad, M., Bazrafshan, O., & Sadeghi Lari, A. (2017). Adaptive evaluation of SPI, RDI and SDI indices in analyzing the meteorological and hydrological drought characteristics (Case study: Bam plain). Water and Soil Science, 26(4.2), 69-81.
Faraji Amoqein, A., Kanooni, A., & Hasanpour Kashani, M., (2024). Investigating meteorological and hydrological drought characteristics and their propagation relationship under the influence of human activities in Ardabil plain. Journal of Water and Irrigation Management, 10.22059/jwim.2024.371936.1141.
Hosseini Seddigh, S.M., & Jalali, M. (2024). Analysis of Iran’s Drought Changes with Palmer’s Self-Adjustment Index. Journal of Drought and Climate change Research (JDCR), 2 (1), 93-106.
Jahangir, M.H., & Mousavi, M. (2020). Comparative study of meteorological (SPI) and hydrological drought index (SSI) based on the best cumulative distribution function in Tehran Province. Iranian Journal of Watershed Management Science and Engineering, 14(48),1-10.
Jahangir, M.H., Asghari Kaleshani, F., & Sataryan asil, K. (2022). Comparative study of drought meteorological (SPI) and hydrological (SSI) indices based on the best cumulative distribution function for Urmia Basin, Water and Soil Management and Modeling, 2(4), 53-63.
Janbozorgi, M., Hanifepour, M., & Khosravi, H. (1400). Temporal changes of meteorological-hydrological drought (Case study: Gilan province). Journal of Water and Soil Management and Modeling, 1(2), 1-13.
Javan, Kh. (2021). Identification of hydrological drought trends in the Lake Urmia basin. Hydrogeomorphology, 7(25), 119-138.
Karatayev, M., Clarke, M., Salnikov, V., Bekseitova, R., & Nizamova, M. (2022). Monitoring climate change, drought conditions and wheat production in Eurasia: the case study of Kazakhstan. Heliyon, 8(1), e08660.
Li, M., Feng, Z., Zhang, M., & Yunhang, Y., (2024). Infulence of large-scale climate indices and regional meteorological elements on drought characteristics in the Luanhe river basin. Atmospheric Research, 300, 107219.
Li, Y., Lu, H., Yang, K., Wang, W., Tang, Q., Khem, S., Yang, F., & Huang, Y. (2021). Meteorological and hydrological droughts in Mekong River Basin and surrounding areas under climate change. Journal of Hydrology: Regional Studies. 36, 100873.
Li, Y., Luo, L., Chang, J., Wang, Y., Guo, A., Fan, J., & Liu, Q. (2020). Hydrological drought evolution with a nonlinear joint index in regions with significant changeS in underlying surface. Journal of Hydrology, 585, 124794.
Masoompour Samakosh, J., Miri, M., & Rezaei, S. (2024). Analysis of drought characteristics (severity, duration, magnitude) of Iran based on multivariable standardized drought index. Advanced Technologies in Water Efficiency, 4(1), 82-98.
Mazidi, A., enayatpour, M., & Hosseini, S.S. (2021). Climate determination of Kerman province using ambrothermic curve methods, Domarten drought coefficient, Amberjeh climate view. Geography and Human Relationships, 4(2), 35-43.
McKee, T.B., Doesken, N.J., & Kleist, J. (1993). The relationship of drought frequency and duration to time scales. 8th Conference on Applied Climatology, Anaheim, California, 17-22 January 1993, 179-184.
Mckee, T.B., Doesken, N.J., & Kleist, J. (1995). Drought monitoring with multiple time scales. In proceeding of the Ninth Conferences on Applied Climatology, 15-20 Jan, Dallas, TX: American Meteorological Society, 233 - 236.
Miller, R.B. & Fox, G.A. (2017). A Tool for drought planning in Oklahoma: Estimating and using drought-influenced flow exceedance curves. Journal of Hydrology: Regional Studies, 10, 35-46.
Mirzayi hasanlo, A., Hirad Abghari, H., & Erfanian, M. (2021). Evaluation of SPEI drought index and trend analysis using nonparametric methods in the selected stations of Urmia Lake basin, Journal of Watershed Management Research, 11(22), 175-187.
Mosaedi, A., & Ghabaei Sough, M. (2011). Modification of Standardized Precipitation Index (SPI) based on relevant probability distribution function. Journal of Water and Soil, 25(5), 1206-1216.
Mostafazadeh, R., & Zabihi, M. (2016). Comparison of SPI and SPEI indices to meteorological drought assessment using R programming (Case study: Kurdistan Province). Journal of the Earth and Space Physics, 42(3), 633-643.
Navidtalab, A., Askari, Gh., Ahmadpour, F., & Tahmasebi, M. (2020). Drought evaluation of a thirty-year period (1988–2017) in Lurestan province using the Percent of Normal precipitation Index (PNI). Hydrogeomorphology, 7(24), 107-125.
Niu, J., Chen, J., Sun, & L. (2015). Exploration of drought evolution using numerical simulations over the Xijiang (West River) basin in South China. Journal of Hydrology. 526, 68–77.
Parchami, N., Mostafazadeh, R., Esmaili Ouri, A., & Imani, R. (2023). Spatial variations of hydrological drought in different time scales in the rivers of Ardabil province. Hyrogeomorphology, 33(10), 21-36.
Pouralkhas Nokandeie, M., Amanjahani, V., Hazbavi, Z., & Mostafazadeh, R., (2024). Indicators of estimating and assessing the meteorological and hydrological drought characteristics, Journal of Environmental Sciences Studies, 8(4), 7499-7516.
Salimi, H., Asadi, E., & Darbandi, S. (2021). Meteorological and hydrological drought monitoring using several drought indices. Applied Water Science, 11(11), 1-10.
Sarai Tabrizi, M., & Bariz, M. (2023). Investigation of drought management indicators downstream of Harirod sub-basin of Afghanistan. Iranian Journal of Irrigation and Water Engineering, 13, 177-192.
Sari Saraf, B., Mahmoudi, S., Zangeneh, S., & Pashaei, Z. (2015). Monitoring and Predicting the Wet and Drought Periods in Tabriz Using CLIMGEN Models and SPI. Hydrogeomorphology, 2(2), 61-78.
Shah, R., Bharadiya, N., & Manekar, V. (2015). Drought index computation using Standardized Precipitation Index (SPI) method for Surat district, Gujarat. Aquatic Procedia, 4, 1243-1249.
Sobhani, B., Jafarzadehaliabad, L., & Safarianzengir, V. (2020). Modelling, Analysis, and Prediction of Drought Phenomenon in Iran. Hydrogeomorphology, 6(21), 181-202.
Talebiniaya, M., & Khosravi, H., (2021). The relation between meteorological drought and groundwater quality in arid and semi-arid climate (Case study: Isfahan province). Journal of Irrigation and Water Engineering, 11(41), 269-285.
Teimouri, M., Gholami, V., & Khaleghi, M.R., (2023). Assesment of drought impacts on rainfed wheat yield using SPI and Agricultural- SPI indices (Case study: North Khorasan province). Journal of Agricultural Meteorology, 10(2), 17-27.
Tirivarombo, S., Osupile, D., & Eliasson, P. (2018). Drought monitoring and analysis: Standardised Precipitation Evapotranspiration Index (SPEI) and Standardised Precipitation Index (SPI), Physics and Chemistry of the Earth, Parts A/B/C, 106, 1-10.
Tsakiris, G., & Vangelis, H., (2005). Establishing a drought index incorporating evapotranspiration. European Water, 9–10, 3–11.
Tsakiris, G., Pangalou, D., & Vangelis, H. (2007). Regional drought assessment based on the reconnaissance drought index (RDI). Water Resource Management, 21, 821–833.
Vicente-Serrano, S., Begueria, S., & Lopez-moreno, J.I. (2010). A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. Journal of Climate, 23(7), 1696-1718.
Vicente-Serrano, S., López-Moreno, J.I., Beguer\’\ia, S., Lorenzo-Lacruz, J., Azorin-Molina, C., & Morán-Tejeda, E. )2011). Accurate Computation of a Streamflow Drought Index. Journal of Hydrologic Engineering, 17(2), 318–332.
Wang, M., Jiang, Sh., Ren, L., Xu, Ch., Menzel, L., Yuan, F., Xu, Q., Liu, Y., & Yang, X., (2021). Separating the effects of climate change and human activities on drought propagation via a natural and human-impacted catchment comparison method. Journal of Hydrology, 603, Part A, 126913.
Wu, J., Liu, Zh., Yao, H., Chen, X., Chen, X., Zheng, Y., He, Y. (2018a). Impacts of reservoir operations on multi-scale correlations between hydrological drought and meteorological drought. Journal of Hydrology, 563, 726–736.
Wu, J., Zhang, X., Wang, G., Wu, W., Zhang, D., & Lan, T., (2024). Impact of hydrometeorological regim shifts on drought propagation: The meteorological to hydrological perspective. Journal of Hydrology, 638, 131476.
Yan-jun, L., Xiao-dong, Zh., Fan, L., & Jing, M., (2012). Analysis of drought evolvement characteristics based on standardized precipitation index in the Huaihe River Basin. Procedia Engineering, 2012 International Conference on Modern Hydraulic Engineering, 28, 434-437.
Yousefi, H., Nohegar, A., Khosravi, Z., & Azizabadi Farahani, M. (2015). Drought modeling and management using SPI and RDI indexes (Case study: Markazi province). Iranian journal of Ecohydrology, 2(3), 337-344.
Zhang, P., Cai, Y., Cong, P., Xie, Y., Chen, W., Cai, J., & Bai, X., (2024). Quantitation of meteorological, hydrological and agricultural drought under climate change in the East River basin of south China. Ecological Indicators, 158, 111304.