Multivariate index for monitoring drought (case study, Northeastern of Iraq)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-05837-x.pdf
Reference61 articles.
1. Al-Balasmeh O, Babbar R, Karmaker T (2020) A hybrid drought index for drought assessment in Wadi Shueib catchment area in Jordan. J Hydroinf 22(4):937–956. https://doi.org/10.2166/hydro.2020.038
2. Al-Timimi YK, Osamah AO (2016) Comparative study of four meteorological drought indices in Iraq. IOSR J Appl Phys 8(5):76–84. https://doi.org/10.9790/4861-0805037684
3. Awchi TA, Jasim AI (2017) Rainfall data analysis and study of meteorological draught in Iraq for the period 1970–2010. Tikrit J Eng Sci 24(1):110–121
4. Barker LJ, Hannaford J, Chiverton A, Svensson C (2016) From meteorological to hydrological drought using standardised indicators. Hydrol Earth Syst Sci Discuss 20:2483–2505. https://doi.org/10.5194/hess-20-2483-2016
5. Bateni MM, Behmanesh J, Michele CD, Bazrafshan J, Rezaiem H (2018) Composite agrometeorological drought index accounting for seasonality and autocorrelation. J Hydrol Eng 23(6):04018020. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001654
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1. Deep learning versus hybrid regularized extreme learning machine for multi-month drought forecasting: A comparative study and trend analysis in tropical region;Heliyon;2024-01
2. Hydrochemistry and water quality of shallow groundwater in the Tikrit area of Salah Al Din Province, Iraq;Applied Water Science;2023-09-11
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