Assessment and Comparison of SPI and RDI Meteorological Drought Indices in Selected Synoptic Stations of Iran

Jamshidi, Hamed; Khalili, Davar; Zadeh, Mehdi Rezaeian; Hosseinipour, E. Zia

doi:10.1061/41173(414)120

Cited by 22 publications

(7 citation statements)

References 8 publications

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“…The present investigation found that the SPI index based on precipitation alone provides much more significant differences in data distribution, while the RDI index eliminates significant precipitation deviations due to evaporation data (calculated from temperature) and gives a more even distribution of values. These results are in line with those of previous studies [73][74][75]. This is especially true for the projection data, as precipitation is almost impossible to model correctly.…”

Section: Discussionsupporting

confidence: 92%

Patterns of Past and Future Droughts in Permanent Lowland Rivers

Nazarenko

Kriaučiūnienė

Šarauskienė

et al. 2022

Water

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The problem of droughts is acute due to climate change. The study aims to assess the temporal and spatial drought patterns in Lithuanian lowland rivers in the past and to project these phenomena according to climate scenarios and models. Drought analysis was based on Standardized Precipitation Index (SPI), Reconnaissance Drought Index (RDI) and Streamflow Drought Index (SDI). To evaluate the past patterns, the hydrometeorological data of 17 rivers were used from 1961–2020. Future drought changes were analyzed in 2021–2100 according to the selected RCPs (Representative Concentration Pathways) using the hydrological model HBV. There were different patterns of droughts in three hydrological regions of Lithuania (Western, Central and Southeastern). The Southeastern region was more prone to extreme summer hydrological droughts, and they had a shorter accumulation period compared to the other two regions. SPI and RDI indices showed that the number of dry months and the minimum value of the index increased, extending the accumulation period. The highest correlation was recorded between RDI-12/SPI-12 and SDI-12. The amplitude between extremely wet and dry values of river runoff will increase according to RCP8.5. The projections indicated that hydrological drought intensity in the Central region is expected to increase under both analyzed RCPs.

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Section: Discussionsupporting

confidence: 92%

Patterns of Past and Future Droughts in Permanent Lowland Rivers

Nazarenko

Kriaučiūnienė

Šarauskienė

et al. 2022

Water

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“…For example, in the case of 3month rainfall, the sum of 3-months for a specific year is compared to the long-term mean, of the sum of 3-months in India, there is a lot of seasonal variation, from one month to the next. As a result, these multi-time scale indices were defined at time scales of 1, 3, 6, 9, and 12 months" [40,23,41,42,43,44] & [18].…”

Section: Resultsmentioning

confidence: 99%

An Evaluation of the Performance of Five Meteorological Drought Monitoring Indices Over an Arid and Semi-Arid Region of Gujarat (India)

Srinivas

Tiwari

Patel

2022

IJECC

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Drought Monitoring plays an important role in drought risk assessment and management. Different meteorological drought indices are normally used to determine drought, which are essentially constant functions of rainfall and hydro-meteorological factors. A universal drought index cannot be used to evaluate the severity of drought in a specific region due to the essential difficulty of drought phenomena, hydro-climatic factors, and watershed characteristics. Classifying an appropriate drought index requires evaluating the performance of various drought indices. This study evaluated 5 meteorological drought indices for Gujarat, India utilizing a dataset from a total of 167 raingauge and climate stations having over 30 years (1986-2015 of the dataset). In various countries, several droughts indices have been introduced and utilized. This study evaluates the effectiveness of 5 meteorological drought monitoring indices in Gujarat. The following meteorological drought indexes were chosen based on data availability: Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), Percent Departure from Normal (PDN), Effective Drought Index (EDI), and Reconnaissance Drought Index (RDI). The EDI is a time step independent drought indicator, with 1-, 3-, 6-, 9-, and 12-month time intervals defined for the four multi-time scale indices. This drought index was compared using several time scales of multi-time scale drought indices based on their association with the EDI. The evaluation of drought indices during the historic drought was assessed based on the occurrence and response of drought indices within the specific drought severity classes. In the present study area, the 9-month scale is suitable for comparisons of drought indices. The SPEI-9 had the highest relative occurrence in the 'severe dry' class, and it was subtle to 9-monthly rainfall in most districts. As a result of the study, SPEI-9 is considered the best drought index.

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“…Recently, the World Meteorological Organization (WMO) presents SPI as a universal meteorological drought index. It is due to its ability to monitor drought for multiple time scales, and it is comparable between diferent regions or watershed drought events [45,46]. RDI and SPEI are the most important meteorological drought indices by incorporating the efect of potential evapotranspiration in addition to precipitation variability [43].…”

Section: Drought Analysis Methodsmentioning

confidence: 99%

Hydrological and Meteorological Drought Monitoring and Trend Analysis in Abbay River Basin, Ethiopia

Tareke

Awoke

2022

Advances in Meteorology

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The definition of drought is very controversial due to its multi-dimensional impact and slow propagation in onset and end. Predicting the accurate occurrence of drought remains a challenging task for researchers. The study focused on hydrological and meteorological drought monitoring and trend analysis in the Abbay river basin, using the streamflow drought index (SDI), standardized precipitation index (SPI), and reconnaissance drought index (RDI), respectively, to fill this research gap. The study also looked into the interrelationships between the two drought indicators. The SDI, SPI, and RDI were calculated using long-term streamflow, precipitation, and temperature data collected from 1973 to 2014. The data were collected from eight streamflow stations and fifteen meteorological gauge stations. DrinC software (Drought Indices Calculator) was used to calculate the SDI, SPI, and RDI values. The result from meteorological drought using SPI12 and RDI12 shows that 1975, 1981, 1984, 1986, 1991, 1994, and 2010 were extreme drought years, whereas 1983, 1984, 2001, and 2010 were the most extreme hydrological drought years based on the SDI12 result. Except for Bahir Dar and Gondar, a severe drought occurs at least once a decade in all stations considered in this study. In general, the SPI, RDI, and SDI results indicated that the study area was exposed to the most prolonged severe and extreme drought from 1981 to 1991. The findings of this study also demonstrated that the occurrence of hydrometeorological droughts in the Abbay river basin has a positive correlation at long time scales of 6 and 12 months. The trend analysis using the Mann–Kendall test implied that there was a significant meteorological drought trend in two stations (Debre Berhan and Fiche) at SPI12 and RDI12 time scale, but for the remaining thirteen stations, there is no trend in all time scales. The hydrological drought trend analysis in the basin on a seasonal (SDI3) and yearly (SDI12) time scale also revealed that three streamflow stations have a positive trend (Kessie, Gummera, and Border). This implies that water resource management is still a vital tool for the sustainable development of the Abbay river basin in the future.

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Assessment and Comparison of SPI and RDI Meteorological Drought Indices in Selected Synoptic Stations of Iran

Cited by 22 publications

References 8 publications

Patterns of Past and Future Droughts in Permanent Lowland Rivers

Patterns of Past and Future Droughts in Permanent Lowland Rivers

An Evaluation of the Performance of Five Meteorological Drought Monitoring Indices Over an Arid and Semi-Arid Region of Gujarat (India)

Hydrological and Meteorological Drought Monitoring and Trend Analysis in Abbay River Basin, Ethiopia

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