Assessment of Hydrological Drought Revisited

Nalbantis, Ioannis; Tsakiris, George

doi:10.1007/s11269-008-9305-1

Cited by 646 publications

(348 citation statements)

References 21 publications

(17 reference statements)

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“…Based on these definitions, various indices were proposed over the years to identify drought. Recent studies have focused on such multi-faceted drought characteristics using various indices (Palmer, 1965;Rossi et al, 1992;McKee et al, 1993;Byun and Wilhite, 1999;Tsakiris et al, 2007;Pandey et al, 2008aPandey et al, , b, 2010World Meteorological Organization, 2008;Nalbantis and Tsakiris, 2009;Wang et al, 2011;Tabari et al, 2013;Tsakiris et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Development of streamflow drought severity–duration–frequency curves using the threshold level method

Sung

Chung

2014

Hydrol. Earth Syst. Sci.

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Abstract. This study developed a streamflow drought severity-duration-frequency (SDF) curve that is analogous to the well-known depth-duration-frequency (DDF) curve used for rainfall. Severity was defined as the total water deficit volume to target threshold for a given drought duration. Furthermore, this study compared the SDF curves of four threshold level methods: fixed, monthly, daily, and desired yield for water use. The fixed threshold level in this study is the 70th percentile value (Q 70 ) of the flow duration curve (FDC), which is compiled using all available daily streamflows. The monthly threshold level is the monthly varying Q 70 values of the monthly FDC. The daily variable threshold is Q 70 of the FDC that was obtained from the antecedent 365 daily streamflows. The desired-yield threshold that was determined by the central government consists of domestic, industrial, and agricultural water uses and environmental in-stream flow. As a result, the durations and severities from the desired-yield threshold level were completely different from those for the fixed, monthly and daily levels. In other words, the desired-yield threshold can identify streamflow droughts using the total water deficit to the hydrological and socioeconomic targets, whereas the fixed, monthly, and daily streamflow thresholds derive the deficiencies or anomalies from the average of the historical streamflow. Based on individual frequency analyses, the SDF curves for four thresholds were developed to quantify the relation among the severities, durations, and frequencies. The SDF curves from the fixed, daily, and monthly thresholds have comparatively short durations because the annual maximum durations vary from 30 to 96 days, whereas those from the desired-yield threshold have much longer durations of up to 270 days. For the additional analysis, the return-period-duration curve was also derived to quantify the extent of the drought duration. These curves can be an effective tool to identify streamflow droughts using severities, durations, and frequencies.

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Section: Introductionmentioning

confidence: 99%

Development of streamflow drought severity–duration–frequency curves using the threshold level method

Sung

Chung

2014

Hydrol. Earth Syst. Sci.

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“…X is monthly precipitation (mm), q is the possibility of a month without precipitation, α is a shape parameter, β is a scale parameter, and T(α) is the gamma function. The monthly SPI value was classified into two classes [17][18][19]: no dry (>−1) and dry (≤−1).…”

Section: Methodsmentioning

confidence: 99%

Evaluating the Effects of Government Policy and Drought from 1984 to 2009 on Rangeland in the Three Rivers Source Region of the Qinghai-Tibet Plateau

Ning

Liang

et al. 2017

Sustainability

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Abstract:The Three Rivers Source Region of the Qinghai-Tibet Plateau is a key area that has extensive impacts on much of the population and economy of China as well as several Southeast Asian countries. The rangeland in this area has undergone degradation, the driving factors of which have been extensively investigated in previous studies. However, the effect of policy on rangeland was not analyzed by subdividing the study period according to the timing of the rangeland policies. The role of dry conditions during the process of degradation has not been studied. Therefore, the period from 1984 to 2009 was subdivided into five periods according to the timing of the relevant government policies based on long-term field investigation. The mean annual normalized difference vegetation index (NDVI) and its relationship to dry conditions, policy, temperature, precipitation, and moisture index were analyzed for the five periods. According to our analysis, dry conditions mainly occurred in non-vegetation-growing months, and they did not affect the status of the rangeland. The privatization of rangeland and livestock caused the number of livestock to increase, resulting in a decrease in the mean annual NDVI from 1984 to 1993. The policies of "Green-to-Grain" and eco-migration caused livestock numbers to decrease and the NDVI to increase after 1994. Physical factors such as temperature, precipitation, and moisture also affected the status of the rangeland. Increased temperature had positive effects on rangeland in most areas, but its effect was offset by increased numbers of livestock from 1984 to 1993. Precipitation had positive effects only in drier areas in which the precipitation in the vegetation-growing months was less than 400 mm. In general, the policies of "Green-to-Grain" and eco-migration improved the status of rangeland, and helped improve sustainable use of the rangeland. The methods used in this study could be applied to other case studies of rangeland. Governments should continue to implement compensation policies to maintain the improved condition of rangeland in the area and expand those policies to other rangeland areas.

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“…When a large area over a period of time loses a significant amount of water without availability of replenishment, the area is said to be under drought condition [1]. During droughts, water supplies are inadequate to meet the demand of water-related systems and cause serious agriculture, hydrologic, and socio-economic damages.…”

Section: Introductionmentioning

confidence: 99%

“…In the United States, great efforts have been made to develop a variety of drought indices for water resources management, and agricultural drought monitoring and forecasting, including Palmer Drought Severity Index (PDSI) [4], Crop Moisture Index (CMI) [5], Standardized Precipitation Index (SPI) [6], and Surface Water Supply Index (SWSI) [7]. However, drought is a complex phenomenon that is difficult to detect and monitor due to a variety reasons: (1) it develops slowly and its onset and ending are indistinct; (2) it is not universally defined; and (3) its impact is nonstructural and often spreads over very large areas [2]. To our knowledge, there is no single global definition of drought and there are no universal drought indices.…”

Section: Introductionmentioning

confidence: 99%

A Regional Land Use Drought Index for Florida

2015

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Drought index is a useful tool to assess and respond to drought. However, current drought indices could not fully reveal land use effects and they have limitations in applications. Besides, El Niño Southern Oscillation (ENSO), strongly influences the climate of Florida. Hence, understanding ENSO patterns on a regional scale and developing a new land use drought index suitable for Florida are critical in agriculture and water resources planning and management. This paper presents a 32 km high resolution land use adapted drought index, which relies on five types of land uses (lake, urban, forest, wetland, and agriculture) in Florida. The land uses were obtained from National Centers for Environmental Prediction (NCEP) North American Regional Reanalysis (NARR) data from 1979 to 2002. The results showed that Bowen ratio responded to land use and could be used as an indicator to monitor drought events. Then, an innovative regional land use drought index was developed from the normalized Bowen ratio, which could reflect not only the level of severity during drought events resulting from land use effects, but also La Niña driven drought impacts. The proposed new index may help scientists answer the critical questions about drought effect on various land uses and potential feedbacks of changes in land use and land cover to climate.

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Assessment of Hydrological Drought Revisited

Cited by 646 publications

References 21 publications

Development of streamflow drought severity–duration–frequency curves using the threshold level method

Development of streamflow drought severity–duration–frequency curves using the threshold level method

Evaluating the Effects of Government Policy and Drought from 1984 to 2009 on Rangeland in the Three Rivers Source Region of the Qinghai-Tibet Plateau

A Regional Land Use Drought Index for Florida

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