Abstract
A distributed modeling approach is applied at a scale that permits visualization of hydrological drought conditions in different tertiary catchments. Hydrological drought sequences are calculated from runoff time-series data. Statistics of runoff and drought impact information from literature are applied to classify hydrological droughts on magnitude, duration, recurrent interval and impact to define a set of hydrological drought indices for specific conditions. The indices are applied on a sample of hydrological drought seasons in a selected primary catchment and visualized in a geographical information software. Scenarios are created to identify worst cases.
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