Research Trends of Hydrological Drought: A Systematic Review

Hasan, Hasrul Hazman; Razali, Siti Fatin Mohd; Muhammad, Nur Shazwani; Ahmad, Asmadi

doi:10.3390/w11112252

Cited by 58 publications

(34 citation statements)

References 84 publications

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“…Other studies using the threshold level method evaluated drought characteristics related to extremes and performed regionalizations (Tallaksen and Hisdal, 1997), calculated areal indices (Zaidman et al, 2002), analyzed the timing of the hydrological drought events, and quantified the human influence on drought (Margariti et al, 2019). A systematic review performed by Hasan et al (2019) highlighted the use of the threshold level method for the characterization of drought severity. This is because of the direct quantification of streamflow deficit, making it easy to interpret by water managers and the general public.…”

Section: Perspectives For Improved Hydrological Drought Monitoringmentioning

confidence: 99%

A Decade of Hydrological Drought in Central-Western Argentina

et al. 2021

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Most of the water used for the development of the main socio-economic activities in Central-Western Argentina (CWA), an arid to semi-arid region, home to most of the Argentinean wine production, relies on surface streamflow from several snow-fed rivers. During the last decade (2010-2020), reduced snow accumulation over the higher elevations of the Andes mountains triggered the occurrence of hydrological drought over CWA, affecting winter tourism, restricting water use for irrigation and domestic use, and leading to socio-political disputes. This study provides a detailed description of the recent hydrological drought conditions through the use of streamflow records from 15 river basins, which were complemented by precipitation, snowpack, and water equivalent thickness measurements to provide a comprehensive picture of the water losses over the last decade. Hydrological drought indices derived from the threshold level method and the standardized streamflow index allowed characterizing the unusualness of this dry period in the context of the last 49 years. The hydrological deficit over the last decade highlighted the challenges faced by the water managers to provide water for irrigation in the main agricultural oases, with a likely overexploitation of the groundwater resources to supplement the limited surface runoff. The hydrological drought severity increased since 2017, with record-breaking levels in several basins, particularly during the period between July 2019 and June 2020 for the rivers located between 35° and 36°S. We identified the main hydrological drought impacts in CWA, as well as the need for improved mitigation strategies to cope with current and future drought conditions. We also analyzed the current limitations in terms of snow and groundwater observations, highlighting the necessity for an effective hydrological drought monitoring system, together with an improved forecast of snow accumulation in the headwaters, which can contribute to better regional water management plans.

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Section: Perspectives For Improved Hydrological Drought Monitoringmentioning

confidence: 99%

A Decade of Hydrological Drought in Central-Western Argentina

et al. 2021

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“…Therefore, the assessment of hydrological drought is crucial for water resource management. Instead of precipitation data used for meteorological drought, streamflow data have been widely applied for hydrologic drought analysis [36,37]. Hydrological droughts can cover extensive areas and can last for months to years [38].…”

Section: Droughtmentioning

confidence: 99%

“…Hydrological droughts can cover extensive areas and can last for months to years [38]. Major differences between meteorological and hydrological droughts are related to the features of climate and catchment [37].…”

Section: Droughtmentioning

confidence: 99%

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

Yang

Liu

2020

Sustainability

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Water is a limited resource but essential to sustaining life and supporting economic development. Only 2.5% of all the water on Earth is freshwater and can be used to meet basic human needs such as a clean supply of water for drinking, cooking, and bathing. Water scarcity is the result of an imbalance between supply and demand. Efficient water resource management is definitely of interest to research and is a practical topic. At the same time, water-related disasters such as floods and droughts cause the loss of life and property. Disasters increase the difficulty of effective water resource management. An increase in climate extremes can also increase the risk of floods and droughts. This overview covers 150 peer-reviewed journal publications from the last twenty years focusing on risk-reduction strategies for floods and droughts. First, a definition and classification of flood and drought was introduced. Second, studies and techniques associated with risk reduction were grouped into three themes and discussed: prediction and warning; monitoring; and impact assessment, response, and management. As a result, many studies were solely focused on, and achieve excellence in, their own themes. Special attention was needed to find in these studies what can convert the adverse impacts such as flood water to positive outcomes such as drought relief. Multidisciplinary cooperation is necessary to achieve sustainability and to adapt to climate change. Finally, advanced techniques such as artificial intelligence (AI) and the internet of things (IoT) were foreseen to have a tremendous impact on future disaster risk reduction.

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“…This review paper attempts to follow most of the checklist's items of the PRISMA method, since this method is used as a basis for reporting systematic reviews for most research types. Some examples of systematic literature reviews are [49,50]. The systematic research was conducted on September 1, 2020, and it was updated on December 20, 2020 and also on January, 20, 2021 for preparing a revision.…”

Section: Introductionmentioning

confidence: 99%

Prediction Interval Estimation Methods for Artificial Neural Network (ANN)-Based Modeling of the Hydro-Climatic Processes, a Review

2021

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Despite the wide applications of artificial neural networks (ANNs) in modeling hydro-climatic processes, quantification of the ANNs’ performance is a significant matter. Sustainable management of water resources requires information about the amount of uncertainty involved in the modeling results, which is a guide for proper decision making. Therefore, in recent years, uncertainty analysis of ANN modeling has attracted noticeable attention. Prediction intervals (PIs) are one of the prevalent tools for uncertainty quantification. This review paper has focused on the different techniques of PI development in the field of hydrology and climatology modeling. The implementation of each method was discussed, and their pros and cons were investigated. In addition, some suggestions are provided for future studies. This review paper was prepared via PRISMA (preferred reporting items for systematic reviews and meta-analyses) methodology.

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Research Trends of Hydrological Drought: A Systematic Review

Cited by 58 publications

References 84 publications

A Decade of Hydrological Drought in Central-Western Argentina

A Decade of Hydrological Drought in Central-Western Argentina

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

Prediction Interval Estimation Methods for Artificial Neural Network (ANN)-Based Modeling of the Hydro-Climatic Processes, a Review

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