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Research on Disaster Communications Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Data Processing for Assessment of Meteorological and Hydrological Drought

Authors : Nina Nikolova, Kalina Radeva

Published in: Information Technology in Disaster Risk Reduction

Publisher: Springer International Publishing

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Abstract

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.

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Metadata
Title
Data Processing for Assessment of Meteorological and Hydrological Drought
Authors
Nina Nikolova
Kalina Radeva
Copyright Year
2019
Book
Information Technology in Disaster Risk Reduction

Print ISBN: 978-3-030-18292-2

Electronic ISBN: 978-3-030-18293-9

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-18293-9_13

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