A multifractal cross-correlation investigation into sensitivity and dependence of meteorological and hydrological droughts on precipitation and temperature-Reference-Cited by-同舟云学术

A multifractal cross-correlation investigation into sensitivity and dependence of meteorological and hydrological droughts on precipitation and temperature

Published:2021-07-05 Issue:3 Volume:109 Page:2197-2219
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Rahmani Farhang,Fattahi Mohammad Hadi^ORCID

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/s11069-021-04916-1.pdf

Reference69 articles.

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2. Adarsh S, Kumar DN, Deepthi B, Gayathri G, Aswathy SS, Bhagyasree S (2019) Multifractal characterization of meteorological drought in India using detrended fluctuation analysis. Int J Climatol 39:4234–4255. https://doi.org/10.1002/joc.6070

3. Adarsh S, Dharan DS, Nandhu AR, Vishnu BA, Mohan VK, Watorek M (2020) Multifractal description of streamflow and suspended sediment concentration data from Indian river basins. Acta Geophys 68:519–535. https://doi.org/10.1007/s11600-020-00407-2

4. Agana NA, Homaifar A (2017) A deep learning based approach for long-term drought prediction. SoutheastCon 2017. Concord, NC, pp. 1–8. DOI: https://doi.org/10.1109/SECON.2017.7925314

5. Aghelpour P, Bahrami-Pichaghchi H, Kisi O (2020) Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes. Comput Electron Agric 170:105279. https://doi.org/10.1016/j.compag.2020.105279

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