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      Investigating the Propagation From Meteorological to Hydrological Drought by Introducing the Nonlinear Dependence With Directed Information Transfer Index

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          Abstract

          Meteorological drought is the fuse of hydrological drought, and understanding the propagation mechanisms from meteorological to hydrological drought is of great significance to the monitoring and prevention of hydrological drought. Besides the linear dependence, this study thoroughly investigated the propagation from meteorological to hydrological drought by introducing the nonlinear dependence with directed information transfer index (DITI) for the first time. In this study, the standardized precipitation index and the standardized runoff index were used to represent meteorological drought and hydrological drought, respectively. A new drought response time (DRT) evaluation system was constructed based on the maximum Pearson correlation coefficient and DITI, simultaneously considering the linear and nonlinear relationships between meteorological drought and hydrological drought. Moreover, the relationships of drought characteristics (duration and severity) between these two types of drought were established by using run theory and mathematical function, and the trigger thresholds from meteorological to hydrological drought were then determined. The results indicate that: (a) the effective drought propagation rate was mainly affected by the characteristics of meteorological drought events and the sensitivity of hydrological drought to meteorological drought; (b) the DRT in the Pearl River Basin (PRB) was mainly concentrated in 2–5 months, and the drought translation rate in the PRB was relatively large; and (c) the duration of hydrological drought events was longer in the sub‐regions with smaller meteorological drought trigger thresholds.

          Key Points

          • Directed information transfer index was introduced in drought propagation study to build a new drought response time evaluation system for the first time

          • Trigger thresholds from meteorological to hydrological drought were determined by a drought propagation model

          • Sub‐regions with smaller meteorological drought trigger thresholds had longer durations of hydrological drought events

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          Note on Regression and Inheritance in the Case of Two Parents

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            Accurate Computation of a Streamflow Drought Index

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              Is Open Access

              From meteorological to hydrological drought using standardised indicators

              Drought monitoring and early warning (M & EW) systems are a crucial component of drought preparedness. M & EW systems typically make use of drought indicators such as the Standardised Precipitation Index (SPI), but such indicators are not widely used in the UK. More generally, such tools have not been well developed for hydrological (i.e. streamflow) drought. To fill these research gaps, this paper characterises meteorological and hydrological droughts, and the propagation from one to the other, using the SPI and the related Standardised Streamflow Index (SSI), with the objective of improving understanding of the drought hazard in the UK. SPI and SSI time series were calculated for 121 near-natural catchments in the UK for accumulation periods of 1–24 months. From these time series, drought events were identified and for each event, the duration and severity were calculated. The relationship between meteorological and hydrological drought was examined by cross-correlating the 1-month SSI with various SPI accumulation periods. Finally, the influence of climate and catchment properties on the hydrological drought characteristics and propagation was investigated. Results showed that at short accumulation periods meteorological drought characteristics showed little spatial variability, whilst hydrological drought characteristics showed fewer but longer and more severe droughts in the south and east than in the north and west of the UK. Propagation characteristics showed a similar spatial pattern with catchments underlain by productive aquifers, mostly in the south and east, having longer SPI accumulation periods strongly correlated with the 1-month SSI. For catchments in the north and west of the UK, which typically have little catchment storage, standard-period average annual rainfall was strongly correlated with hydrological drought and propagation characteristics. However, in the south and east, catchment properties describing storage (such as base flow index, the percentage of highly productive fractured rock and typical soil wetness) were more influential on hydrological drought characteristics. This knowledge forms a basis for more informed application of standardised indicators in the UK in the future, which could aid in the development of improved M & EW systems. Given the lack of studies applying standardised indicators to hydrological droughts, and the diversity of catchment types encompassed here, the findings could prove valuable for enhancing the hydrological aspects of drought M & EW systems in both the UK and elsewhere.
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                Author and article information

                Contributors
                Journal
                Water Resources Research
                Water Resources Research
                American Geophysical Union (AGU)
                0043-1397
                1944-7973
                August 2021
                August 06 2021
                August 2021
                : 57
                : 8
                Affiliations
                [1 ] School of Environmental Science and Engineering State Environmental Protection Key Laboratory of Integrated Surface Water‐Groundwater Pollution Control Southern University of Science and Technology Shenzhen China
                [2 ] School of Environmental Science and Engineering Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control Southern University of Science and Technology Shenzhen China
                [3 ] School of Water Conservancy and Civil Engineering Northeast Agricultural University Harbin China
                [4 ] College of Water Resources and Architectural Engineering Northwest A&F University Yangling China
                Article
                10.1029/2021WR030028
                4c18056a-de1d-4e2e-ab5e-d38739017873
                © 2021

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