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DOI | 10.1007/s11069-021-04916-1 |
A multifractal cross-correlation investigation into sensitivity and dependence of meteorological and hydrological droughts on precipitation and temperature | |
Rahmani F.; Fattahi M.H. | |
发表日期 | 2021 |
ISSN | 0921030X |
英文摘要 | Several studies have been conducted on droughts, precipitation, and temperature, whereas none have addressed the underlying relationship between nonlinear dynamic properties and patterns of two main hydrological parameters, precipitation and temperature, and meteorological and hydrological droughts. Monthly datasets of Midlands in the UK between 1921 and 2019 were collected for analysis. Subsequent to apply a multifractal approach to attain the nonlinear features of the datasets, the relationship between two hydrological parameters and droughts was investigated through the cross-correlation technique. A similar process was performed to analyze the relationship between multifractal strength variations in time series of precipitation and temperature and droughts. The nonlinear dynamic results indicated that droughts (meteorological and hydrological) were substantially affected by precipitation than temperature. In other words, droughts were more sensitive to precipitation fluctuations than temperature fluctuations. Concerning temperature, meteorological, and hydrological droughts were dependent on the minimum and maximum temperatures (Tmin and Tmax), respectively. The correlation between precipitation and meteorological drought was more long-range persistence than precipitation and hydrological drought. Besides, the correlation between Tmax and droughts was more long-range persistence than Tmin and droughts. Analysis of nonlinear dynamic patterns proved that the multifractal strength of meteorological drought depended on the multifractal strength of precipitation and Tmax, whereas the multifractal strength of hydrological drought depended on the multifractal strength of the Tmin. The correlation between precipitation and drought indices exhibited more multifractal strength than temperature and drought indices. Finally, the pivotal role of maximum temperature on drought events was quite alerting due to global warming intensification. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. |
关键词 | Multifractal detrend fluctuation analysis (MF-DFA)Multifractal detrended cross-correlation analysis (MF-DXA)Pearson correlation coefficientSpearman rank correlation coefficientStandard precipitation indexStreamflow drought index |
语种 | 英语 |
来源期刊 | Natural Hazards |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/206517 |
作者单位 | Department of Civil Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran |
推荐引用方式 GB/T 7714 | Rahmani F.,Fattahi M.H.. A multifractal cross-correlation investigation into sensitivity and dependence of meteorological and hydrological droughts on precipitation and temperature[J],2021. |
APA | Rahmani F.,&Fattahi M.H..(2021).A multifractal cross-correlation investigation into sensitivity and dependence of meteorological and hydrological droughts on precipitation and temperature.Natural Hazards. |
MLA | Rahmani F.,et al."A multifractal cross-correlation investigation into sensitivity and dependence of meteorological and hydrological droughts on precipitation and temperature".Natural Hazards (2021). |
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