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Data Processing for Assessment of Meteorological and Hydrological Drought

机译:评估气象和水文干旱的数据处理

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Accurate and reliable data processing is of primary importance for drought assessment. It helps decision makers to lay out mitigation measures within the context of drought preparedness planning and water resources management. In order to understand meteorological and hydrological drought, we need to identify drought characteristics (duration, severity and spatial extent). Drought indices are essential tools quantifying drought severity and identifying its frequency and duration. For the calculation of drought indices, availability of long time series of undisturbed, good-quality observational data is essential. The studied area cover a Bulgarian part of the catchment of Struma River which is one of the largest Bulgarian rivers. The general aim of this research is to evaluate the occurrence of hydrological and meteorological droughts in Struma River basin and to show utilization of various indices for comparative analysis of meteorological and hydrological drought. Drought events are identified using the following indices-Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) and Streamflow Drought Index (SDI) for time scales 6 and 12 months. Additionally to these indices, we use also Rainfall Anomaly Index (RAI) and introduce Streamflow Anomaly Index (SAI). The main investigated period is 1962-2016.
机译:准确可靠的数据处理是对干旱评估最重要的。它可以帮助决策者抗旱准备规划和水资源管理的范围内奠定了缓解措施。为了了解气象和水文干旱,我们需要确定干旱特征(持续时间,严重程度和空间范围)。干旱指数是量化干旱程度并确定其频率和持续时间的必要工具。对于干旱指标,长时间序列不受干扰,高质量的观测数据可用性的计算是至关重要的。该研究领域涵盖甲状腺肿河流域是保加利亚最大河流之一的保加利亚一部分。这项研究的总体目标是,以评估甲状腺肿流域水文气象干旱的发生,并显示出各项指标的气象和水文干旱的比较分析的利用率。干旱事件是使用以下指数,标准化降水指数(SPI),标准化降水指数蒸散量(SPEI)和径流干旱指数(SDI)的时间尺度6和12个月鉴别。此外,以这些指数,我们也用异常降水指数(RAI)和引进径流异常指数(SAI)。主要调查期为1962至2016年。

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