An aggregate drought index: Assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage

Keyantash, J.; Dracup, John A.

doi:10.1029/2003wr002610

Cited by 291 publications

(151 citation statements)

References 10 publications

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“…Drought Indices are effective during decision making (Hayes, 2003) in the events such as to initiate drought relief programs, to measure the deficits of water in water resources, to assess drought severity etc. Various indices were introduced by researchers, PDSI (Palmer, 1965), Deciles (Gibbs et al, 1967), SPI (McKee et al, 1993), PN (Willeke et al, 1994), SWSI (Shafer et al, 1982), ADI (Keyantash et al, 2004) and NADI (Barua, 2010).…”

Section: Standardized Precipitation Index (Spi)mentioning

confidence: 99%

Analysis of Short-Term Droughts in the Mewar Region of Rajasthan by Standard Precipitation Index

Basamma¹,

Purohit²,

Bhakar³

et al. 2017

Int.J.Curr.Microbiol.App.Sci

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Section: Standardized Precipitation Index (Spi)mentioning

confidence: 99%

Analysis of Short-Term Droughts in the Mewar Region of Rajasthan by Standard Precipitation Index

Basamma¹,

Purohit²,

Bhakar³

et al. 2017

Int.J.Curr.Microbiol.App.Sci

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“…Most of drought indices based on one or two specific hydro-meteorological variables can only monitor one specific physical form of drought: hydrological, meteorological, or agricultural (Rajsekhar et al, 2014;Heim, 2002). In recent years, some multivariate drought indices that consider a wide range of hydrological, agricultural, meteorological variables has been proposed and applied (Li et al, 2015;Rajsekhar et al, 2014;Svoboda, 2002;Brown et al, 2008;Hao and AghaKouchak, 2013;Zhang and Jia, 2013;Mu et al, 2013;Keyantash and Dracup, 2004). However, precise physical quantification of drought intensity by these indices is still a tough task (Keyantash and Dracup, 2004 …”

Section: Introductionmentioning

confidence: 99%

Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China

Zeng

Wang

et al. 2015

Proc. IAHS

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Abstract. The Huaihe River Basin having China's highest population density (662 persons per km 2 ) lies in a transition zone between the climates of North and South China, and is thus prone to drought. Therefore, the paper aims to develop an appropriate drought assessment approach for drought assessment in the Huaihe River basin, China. Based on the Principal Component Analysis of precipitation, evapotranspiration, soil moisture and runoff, the three latter variables of which were obtained by use of the Xin'anjiang model, a new multivariate drought index (MDI) was formulated, and its thresholds were determined by use of cumulative distribution function. The MDI, the Standardized Precipitation Index (SPI) and the self-calibrating Palmer Drought Severity Index (sc-PDSI) time series on a monthly scale were computed and compared during 1988, 1999/2000 and 2001 drought events. The results show that the MDI exhibited certain advantages over the sc-PDSI and the SPI in monitoring drought evolution. The MDI formulated by this paper could provide a scientific basis for drought mitigation and management, and references for drought assessment elsewhere in China.

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“…More comprehensive indexes can also include snowpack extent, reservoir storage, and groundwater level (Shafer and Dezman, 1982;Keyantash and Dracup, 2004;Staudinger et al, 2014). This drought takes place after a prolonged time of low precipitation and deficient soil moisture and its effects are witnessed in the long-term (6-12 months; Zargar et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Automatic design of basin-specific drought indexes for highly regulated water systems

Zaniolo

Giuliani

Castelletti

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Socio-economic costs of drought are progressively increasing worldwide due to undergoing alterations of hydro-meteorological regimes induced by climate change. Although drought management is largely studied in the literature, traditional drought indexes often fail at detecting critical events in highly regulated systems, where natural water availability is conditioned by the operation of water infrastructures such as dams, diversions, and pumping wells. Here, ad hoc index formulations are usually adopted based on empirical combinations of several, supposed-to-be significant, hydro-meteorological variables. These customized formulations, however, while effective in the design basin, can hardly be generalized and transferred to different contexts. In this study, we contribute FRIDA (FRamework for Index-based Drought Analysis), a novel framework for the automatic design of basin-customized drought indexes. In contrast to ad hoc empirical approaches, FRIDA is fully automated, generalizable, and portable across different basins. FRIDA builds an index representing a surrogate of the drought conditions of the basin, computed by combining all the relevant available information about the water circulating in the system identified by means of a feature extraction algorithm. We used the Wrapper for Quasi-Equally Informative Subset Selection (W-QEISS), which features a multi-objective evolutionary algorithm to find Pareto-efficient subsets of variables by maximizing the wrapper accuracy, minimizing the number of selected variables, and optimizing relevance and redundancy of the subset. The preferred variable subset is selected among the efficient solutions and used to formulate the final index according to alternative model structures. We apply FRIDA to the case study of the Jucar river basin (Spain), a drought-prone and highly regulated Mediterranean water resource system, where an advanced drought management plan relying on the formulation of an ad hoc "state index" is used for triggering drought management measures. The state index was constructed empirically with a trial-and-error process begun in the 1980s and finalized in 2007, guided by the experts from the Confederación Hidrográfica del Júcar (CHJ). Our results show that the automated variable selection outcomes align with CHJ's 25-year-long empirical refinement. In addition, the resultant FRIDA index outperforms the official State Index in terms of accuracy in reproducing the target variable and cardinality of the selected inputs set.

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An aggregate drought index: Assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage

Cited by 291 publications

References 10 publications

Analysis of Short-Term Droughts in the Mewar Region of Rajasthan by Standard Precipitation Index

Analysis of Short-Term Droughts in the Mewar Region of Rajasthan by Standard Precipitation Index

Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China

Automatic design of basin-specific drought indexes for highly regulated water systems

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