Evaluation of hydro-meteorological drought indices for characterizing historical and future droughts and their impact on groundwater

The effect of meteorological and hydrological droughts is very important in arid and semi-arid regions. Analyzing these effects on groundwater supplies plays an important role for water management in those regions. This paper aims to characterize droughts in the Isfahan-Borkhar basin, an arid area of Iran. The observed hydro-climatic data (for the period of 1971-2005) were used for hydro-meteorological projections (for the period of 2006-2040). Meteorological and surface hydrological drought evaluated by Standardized Precipitation Index (SPI), Standardized Runoff Index (SRI), and the effect of hydro-meteorological droughts on groundwater was investigated by Groundwater Resources Index (GRI). Results showed that dry and wet conditions would occur in the region in the initial and subsequent decades, based on the three indices. There was a significant association between SPI, SRI, and GRI at the time scale of 12 months. The SPI estimated using only meteorological variables alone and it is useful for estimating meteorological drought forecasts. However, SRI and GRI can represent hydrological drought that computed using catchment discharge, soil moisture and groundwater level. Results showed a considerable alteration in time of drought outlines across the area and association between the variables of predicted precipitation, temperature and the kind of indices. The projection of all three drought indices indicated drier conditions in the future period (2006-2042). The results provide reasonable management strategy for management of water resources in arid coastal plains.

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Evaluation of the relationship between meteorological and hydrological droughts in the southern Iberian Peninsula

10.5194/ems2021-354 ◽

2021 ◽

Author(s):

Emilio Romero-Jiménez ◽

Matilde García-Valdecasas Ojeda ◽

Patricio Yeste ◽

Juan José Rosa-Cánovas ◽

Sonia Raquel Gámiz-Fortis ◽

...

Keyword(s):

Climate Change ◽

Iberian Peninsula ◽

River Flow ◽

Standardized Precipitation Index ◽

Meteorological Drought ◽

Major Effect ◽

Hydrological Drought ◽

Drought Indices ◽

Hydrological Response ◽

Hydrological Droughts

Society is facing a challenge due to climate change. Particularly, there are several areas where droughts will impact economic activities and landscapes, and decisions must be made in order to alleviate these effects. River flow regulation plays a major role in this regard, since it reduces the existing correlation between meteorological and hydrological droughts. The aim of this work is to investigate the response of hydrological drought to meteorological drought under the influence of reservoir. To this effect, the Guadalquivir River Basin, in the southern Iberian Peninsula, has been studied. The aridity of this basin is expected to increase in the future, with longer and more severe meteorological droughts. Moreover, the Guadalquivir presents a strong regulation along its course. Therefore, streamflow and precipitation data have been analysed. With these data, meteorological and hydrological drought indices, such as the Standardized Precipitation Index (SPI), the Standardized Precipitation-Evapotranspiration Index (SPEI), and the Standardized Streamflow Index (SSI), have been calculated, focusing on how they correlate based on time scale and spatial distribution. The meteorological drought indices have been calculated in varying time scales, showing that the hydrological response is different depending on characteristics such as orography and river section. The correlation between the indices is generally strong in the study area, but the results show that its importance decreases as the streamflow becomes more regulated. The results of this study could be added to the current tools for decision making in the economic fields that are most affected by droughts. Since droughts are a major effect of climate change in the area, this study could also act as a first step for the study of future droughts through climate and hydrological models. Keywords: Drought indices, river regulation, hydrological response. ACKNOWLEDGEMENTS: This work was funded by the FEDER / Junta de Andaluc&#237;a - Ministry of Economy and Knowledge / Project [B-RNM-336-UGR18], and by the Spanish Ministry of Economy, Industry and Competitiveness, with additional support from the European Community Funds (FEDER) [CGL2017-89836-R].

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Analysis of Precipitation and Streamflow Data for Drought Assessment in an Unregulated Watershed

Environment and Natural Resources Journal ◽

10.32526/ennrj/19/2020202 ◽

2020 ◽

Vol 19 (2) ◽

pp. 18-27

Author(s):

Worapong Lohpaisankrit ◽

◽

Jessada Techamahasaranont ◽

Keyword(s):

Standardized Precipitation Index ◽

Meteorological Drought ◽

Early Warning Systems ◽

Hydrological Drought ◽

Drought Indices ◽

Drought Assessment ◽

Streamflow Data ◽

The Standardized Precipitation Index ◽

Increasing Trends ◽

Hydrological Droughts

Predicting drought occurrence accurately still remains a challenging task. To fill research gaps, this study identified and analysed meteorological and hydrological droughts using the Standardized Precipitation Index (SPI) and Streamflow Drought Index (SDI), respectively, in the upper Lam Pao watershed in Thailand. The study also focused on investigating the relationships between both droughts. The SPI and SDI were computed based on observed long-term precipitation and streamflow data during the period of 1988-2017. The drought analysis was carried out by using the R packages. The location, period and severity level of drought events were graphically presented. On the basis of trend analysis, the SPI series showed slightly increasing trends, whereas no trend was found for the SDI series. This implied that the hydrological drought was influenced by not only precipitation but also other factors. The key findings indicated that there was a positive relationship between meteorological and hydrological droughts. In addition, there was a specific lag time, which may depend on physical characteristics of a basin, in drought propagating from meteorological drought to hydrological drought. Overall, the drought indices can help to predict hydrological drought events, which could be valuable information for drought monitoring and early warning systems.

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Evolution characteristics and relationship of meteorological and hydrological droughts from 1961 to 2018 in Hanjiang River Basin, China

Journal of Water and Climate Change ◽

10.2166/wcc.2021.267 ◽

2021 ◽

Author(s):

Lin Wang ◽

Jianyun Zhang ◽

Amgad Elmahdi ◽

Zhangkang Shu ◽

Yinghui Wu ◽

...

Keyword(s):

River Basin ◽

Human Activities ◽

Water Cycle ◽

Standardized Precipitation Index ◽

Meteorological Drought ◽

Hydrological Drought ◽

Evolution Characteristics ◽

Hanjiang River ◽

Hydrological Droughts ◽

Meteorological Droughts

Abstract In the context of global warming and increasing human activities, the acceleration of the water cycle will increase the risk of basin drought. In this study, to analyze the spatial and temporal evolution characteristics of hydrological and meteorological droughts over the Hanjiang River Basin (HRB); the Standardized Precipitation Index (SPI) and Standardized Runoff Index (SRI) were selected and applied for the period 1961–2018. In addition, the cross-wavelet method was used to discuss the relationship between hydrological drought and meteorological droughts. The results and analysis indicated that: (1) the meteorological drought in the HRB showed a complex cyclical change trend of flood-drought-flood from 1961 to 2018. The basin drought began to intensify from 1990s and eased in 2010s. The characteristics of drought evolution in various regions are different based on scale. (2) During the past 58 years, the hydrological drought in the HRB has shown a significant trend of intensification, particularly in autumn season. Also, the hydrological droughts had occurred frequently since the 1990s, and there were also regional differences in the evolution characteristics of drought in various regions. (3) Reservoir operation reduces the frequency of extreme hydrological drought events. The effect of reducing the duration and intensity of hydrological drought events by releasing water from the reservoir is most obvious at Huangjiagang Station, which is the nearest to Danjiangkou Reservoir. (4) The hydrological drought and meteorological drought in the HRB have the strongest correlation on the yearly scale. After 1990, severe human activities and climate change are not only reduced the correlation between hydrological drought and meteorological drought in the middle and lower reaches of the basin, but also reduced the lag time between them. Among them, the hydrological drought in the upper reaches of the basin lags behind the meteorological drought by 1 month, and the hydrological drought in the middle and lower reaches of the basin has changed from 2 months before 1990 to 1 month lagging after 1990.

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Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea

Atmosphere ◽

10.3390/atmos11091000 ◽

2020 ◽

Vol 11 (9) ◽

pp. 1000

Author(s):

Muhammad Nouman Sattar ◽

Muhammad Jehanzaib ◽

Ji Eun Kim ◽

Hyun-Han Kwon ◽

Tae-Woong Kim

Keyword(s):

Hydrological Cycle ◽

Standardized Precipitation Index ◽

Meteorological Drought ◽

Bayesian Classifier ◽

Hydrological Drought ◽

Data Availability ◽

Negative Effects ◽

The Standardized Precipitation Index ◽

Hydrological Droughts ◽

Drought Classes

Drought is one of the most destructive natural hazards and results in negative effects on the environment, agriculture, economics, and society. A meteorological drought originates from atmospheric components, while a hydrological drought is influenced by properties of the hydrological cycle and generally induced by a continuous meteorological drought. Several studies have attempted to explain the cross dependencies between meteorological and hydrological droughts. However, these previous studies did not consider the propagation of drought classes. Therefore, in this study, to consider the drought propagation concept and to probabilistically assess the meteorological and hydrological drought classes, characterized by the Standardized Precipitation Index (SPI) and Standardized Runoff Index (SRI), respectively, we employed the Markov Bayesian Classifier (MBC) model that combines the procedure of iteration of feature extraction, classification, and application for assessment of drought classes for both SPI and SRI. The classification results were compared using the observed SPI and SRI, as well as with previous findings, which demonstrated that the MBC was able to reasonably determine drought classes. The accuracy of the MBC model in predicting all the classes of meteorological drought varies from 36 to 76% and in predicting all the classes of hydrological drought varies from 33 to 70%. The advantage of the MBC-based classification is that it considers drought propagation, which is very useful for planning, monitoring, and mitigation of hydrological drought in areas having problems related to hydrological data availability.

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Comparison of Projection in Meteorological and Hydrological Droughts in the Cheongmicheon Watershed for RCP4.5 and SSP2-4.5

Sustainability ◽

10.3390/su13042066 ◽

2021 ◽

Vol 13 (4) ◽

pp. 2066

Author(s):

Jin Hyuck Kim ◽

Jang Hyun Sung ◽

Eun-Sung Chung ◽

Sang Ug Kim ◽

Minwoo Son ◽

...

Keyword(s):

General Circulation ◽

Drought Index ◽

Standardized Precipitation Index ◽

Coupled Model ◽

Meteorological Drought ◽

General Circulation Models ◽

Hydrological Drought ◽

Drought Indices ◽

Drought Period ◽

Drought Characteristics

Due to the recent appearance of shares socioeconomic pathway (SSP) scenarios, there have been many studies that compare the results between Coupled Model Intercomparison Project (CMIP)5 and CMIP6 general circulation models (GCMs). This study attempted to project future drought characteristics in the Cheongmicheon watershed using SSP2-4.5 of Australian Community Climate and Earth System Simulator-coupled model (ACCESS-CM2) in addition to Representative Concentration Pathway (RCP) 4.5 of ACCESS 1-3 of the same institute. The historical precipitation and temperature data of ACCESS-CM2 were generated better than those of ACCESS 1-3. Two meteorological drought indices, namely, Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) were used to project meteorological drought while a hydrological drought index, Standardized Streamflow Index (SDI), was used to project the hydrological drought characteristics. The metrological data of GCMs were bias-corrected using quantile mapping method and the streamflow was obtained using Soil and Water Assessment Tool (SWAT) and bias-corrected meteorological data. As a result, there were large differences of drought occurrences and severities between RCP4.5 and SSP2-4.5 for the values of SPI, SPEI, and SDI. The differences in the minimum values of drought index between near (2021–2060) and far futures (2061–2100) were very small in SSP2-4.5, while those in RCP4.5 were very large. In addition, the longest drought period from SDI was the largest because the variation in precipitation usually affects the streamflow with a lag. Therefore, it was concluded that it is important to consider both CMIP5 and CMIP6 GCMs in establishing the drought countermeasures for the future period.

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ASSESSING DROUGHT CHARACTERISTICS OF MELAKA BASIN USING JOINT METEOROLOGICAL AND STREAMFLOW INDICES

The Journal of The Institution of Engineers, Malaysia ◽

10.54552/v80i1.18 ◽

2020 ◽

Vol 80 (1) ◽

Author(s):

Kee An Hong ◽

Jer Lang Hong ◽

Izihan Ibrahim

Keyword(s):

Drought Index ◽

Meteorological Drought ◽

Hydrological Drought ◽

Drought Indices ◽

Severe Drought ◽

Frequency Of Occurrence ◽

Streamflow Data ◽

Hydrological Droughts ◽

Drought Occurrence ◽

Meteorological Droughts

In this study, drought occurrence in the Melaka basin has been assessed using the meteorological and hydrological drought indices. A continuous rainfall and streamflow data of 40 years were used for drought analysis. Results show that in terms of meteorological drought index, the severe drought occurred in 1986-1988. The streamflow drought index indicates that the extreme drought occurred in 1982-1984. Further analysis based on seasonal precipitation and streamflow data shows that there is no drought for 79% of the time for the period 1960-2000 where there are hydrological records. For most of the dry and wet seasons, it is more likely that the frequency of occurrence of hydrological droughts only is higher than the frequency of occurrence of meteorological and hydrological droughts simultaneously or only meteorological droughts.

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Application of Meteorological and Hydrological Drought Indices to Establish Drought Classification Maps of the Ba River Basin in Vietnam

Hydrology ◽

10.3390/hydrology6020049 ◽

2019 ◽

Vol 6 (2) ◽

pp. 49 ◽

Cited By ~ 4

Author(s):

Doan Quang Tri ◽

Tran Tho Dat ◽

Dinh Duc Truong

Keyword(s):

River Basin ◽

Drought Index ◽

Assessment Tool ◽

Swat Model ◽

Standardized Precipitation Index ◽

Aridity Index ◽

Meteorological Drought ◽

Hydrological Drought ◽

Drought Indices ◽

Calibration And Validation

The objective of this study was to establish drought classification maps to simulate and calculate the lack of discharge in the Ba River basin in Vietnam. The maps were established using three meteorological drought indices (the Standardized Precipitation Index (SPI), the Drought Index (J), and the Ped Index (Ped)), the Soil and Water Assessment Tool (SWAT) model, and the hydrological drought index (KDrought). The results from the calculation of the SPI, Aridity Index (AI), and Ped at three stations (An Khe, Ayunpa, and MDrak) showed that the J index was suitable for the study area. Based on the J index, an extreme drought was predicted to occur at the Ayunpa, An Khe, and MDrak stations. During the calibration process, the SWAT Calibration Uncertainties Program (SWAT-CUP) model, with automatic algorithms, was used to select the parameters to optimize the SWAT model. For the calibration and validation, the observed discharge at two hydrology stations, An Khe and Cung Son, from the periods 1981–1991 and 1992–2002, respectively, were used. The simulated discharge was found to be acceptable, with the Nash–Sutcliffe efficiency (NSE), Percent bias (PBIAS), and R2 reaching good levels in both calibration and validation. The results from the calculation of the drought index (KDrought), and the established drought classification maps in 2016, showed that the most affected areas were the communes of the Gia Lai and Dak Lak provinces. The results from the simulation and calculations were found to be consistent with the situation that occurred in practice. The application of meteorological and hydrological drought indices, as well as the hydrological model, to support impact assessments of drought classification in space and time, as well as the establishment of forecasting and warning maps, will help managers to effectively plan policy responses to drought.

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Spatiotemporal Response of Hydrological Drought to Meteorological Drought on Multi-Time Scales Concerning Endorheic Basin

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18179074 ◽

2021 ◽

Vol 18 (17) ◽

pp. 9074

Author(s):

Nina Zhu ◽

Jianhua Xu ◽

Gang Zeng ◽

Xianzhong Cao

Keyword(s):

Time Scale ◽

Standardized Precipitation Index ◽

Meteorological Drought ◽

Ensemble Empirical Mode Decomposition ◽

Reanalysis Data ◽

Hydrological Drought ◽

Transform Method ◽

Endorheic Basin ◽

Hydrological Droughts ◽

Spatiotemporal Response

Under the controversial background of “Northwestern China is gradually developing towards warm and humid”, how hydrological drought responds to meteorological drought at the endorheic basin is of great significance. To address this problem, we first analyzed the spatiotemporal variation of meteorological and hydrological droughts at Tarim Basin River from 1960 to 2014 by using the daily standardized precipitation index (SPI) and daily standardized terrestrial water storage index (SWSI) based on the reanalysis data. Thereafter, we explored the spatiotemporal response of hydrological drought to meteorological drought on the multi-time scale by using the cross-wavelet transform method, Ensemble Empirical Mode Decomposition (EEMD), and correlation analysis. We find that: (1) both meteorological and hydrological droughts signified a gradually weakened trend in time; (2) meteorological and hydrological drought have significant resonance periods on the 10-month time scale and the 8-year time scale; (3) hydrological drought generally lags behind the meteorological drought by 7 days in plains areas, while it can last as long as several months or even a year in mountainous areas.

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Meteorological Drought Analysis with Different Indices for the Betwa River Basin, India

10.21203/rs.3.rs-662868/v1 ◽

2021 ◽

Author(s):

Uttam Singh ◽

Pooja Agarwal ◽

Pramod Kumar Sharma

Keyword(s):

River Basin ◽

Drought Index ◽

Meteorological Data ◽

Groundwater Resources ◽

Standardized Precipitation Index ◽

Meteorological Drought ◽

Drought Indices ◽

Trend Test ◽

Time Step ◽

Drought Assessment

Abstract Climate change is adversely affecting the development, management, and planning of surface and groundwater resources. The meteorological drought becomes a severe natural problem, and it can occur in any climatic region of the world. So, monitoring and minimizing drought is a crucial stage for analyzing and predicting drought impacts. A single drought index can't assess each aspect of the meteorological drought. In this study, we considered seven drought indices such as the Standardized Precipitation Index (SPI), China Z Index (CZI), Modified China Z Index (MCZI), Percent Normal drought index (PNI), Deciles Index (DI), Rainfall Anomaly Index (RAI), and Z-score index (ZSI). The drought was analyzed for 3, 6, 9, and 12 months’ time-step, and drought classification and threshold values were estimated. SPI showed maximum correlation values 0.389, 0.412, 0.560,and 0.996 for 3, 6, 9,and 12-month time steps compared to the other drought indices. The value of correlation is increased with the increase in time step for all drought indices; therefore, the accuracy of drought assessment also increases with an increase in time step. The Mann-Kendall's trend test was analyzed at a 5% level of significance for drought assessments. The drought magnitude and severity of the Betwa river basin were estimated based on the meteorological data (Rainfall) for the year between 1970 to 2014.

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Probabilistic hydrological drought index forecasting based on meteorological drought index using Archimedean copulas

Hydrology Research ◽

10.2166/nh.2019.051 ◽

2019 ◽

Vol 50 (5) ◽

pp. 1230-1250 ◽

Cited By ~ 9

Author(s):

Majid Dehghani ◽

Bahram Saghafian ◽

Mansoor Zargar

Keyword(s):

Drought Index ◽

Standardized Precipitation Index ◽

Meteorological Drought ◽

Hydrological Drought ◽

Dependence Structure ◽

Monthly Precipitation ◽

Drought Condition ◽

Copula Functions ◽

Hydrological Droughts ◽

Hydrological Drought Index

Abstract Hydrological drought forecasting is considered a key component in water resources risk management. As sustained meteorological drought may lead to hydrological drought over time, it is conceptually feasible to capitalize on the dependency between the meteorological and hydrological droughts while trying to forecast the latter. As such, copula functions are powerful tools to study the propagation of meteorological droughts into hydrological droughts. In this research, monthly precipitation and discharge time series were used to determine Standardized Precipitation Index (SPI) and Standardized Hydrological Drought Index (SHDI) at different time scales which quantify the state of meteorological and hydrological droughts, respectively. Five Archimedean copula functions were adopted to model the dependence structure between meteorological/hydrological drought indices. The Clayton copula was identified for further investigation based on the p-value. Next, the conditional probability and the matrix of forecasted class transitions were calculated. Results indicated that the next month's SHDI class forecasting is promising with less than 10% error. Moreover, extreme and severe meteorological drought classes lead to hydrological drought condition with a more than 70% probability. Other classes of meteorological drought/wet conditions lead to normal hydrological (drought) condition with less than 50% probability and to wet hydrological condition with over 20% probability.

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