Comparing Threshold Level Methods in Development of Stream Flow Drought Severity-Duration-Frequency Curves
Autor: | Homa Razmkhah |
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Rok vydání: | 2017 |
Předmět: |
Hydrology
Multivariate statistics geography geography.geographical_feature_category 010504 meteorology & atmospheric sciences fungi 0208 environmental biotechnology Drainage basin food and beverages 02 engineering and technology 01 natural sciences Water deficit 020801 environmental engineering Hydrology (agriculture) Duration (music) Stream flow Environmental science Surface runoff Monthly average 0105 earth and related environmental sciences Water Science and Technology Civil and Structural Engineering |
Zdroj: | Water Resources Management. 31:4045-4061 |
ISSN: | 1573-1650 0920-4741 |
DOI: | 10.1007/s11269-017-1587-8 |
Popis: | This study compares Severity-Duration-Frequency (SDF) curves (SDFs) of stream flow drought derived from threshold level methods. For this purpose hydrological drought of Roudzard river basin was investigated, based on run theory. Daily runoff data of Mashin hydrometery station (1970–2012) assessed using 70% (Q70), 90% (Q90) of mean daily and 70% of monthly average runoff (monthly) as threshold level methods. Time series of the annual maxima values of duration and volume deficit showed similar trend of increase and decreasing in different thresholds. SDFs were prepared, classifying drought durations to four intervals and fitting statistical distribution to each one. Resulted SDFs showed that, in each period, increasing of duration resulted to increased value of the volume deficit with a non-linear trend while duration and severities from the threshold levels were different. Drought deficit-volume increasing rate was also different in each class of duration-interval. For the additional analysis, the duration-frequency and deficit-frequency curves were also prepared to quantify the extent of drought duration and deficit more. SDFs developed in this study can be used to quantify water deficit for natural stream and reservoir. They could be an effective tool to identify multivariate hydrological drought using severity, duration and frequency. |
Databáze: | OpenAIRE |
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