Reprint
Assessing Hydrological Drought in a Climate Change: Methods and Measures
Edited by
April 2024
210 pages
- ISBN978-3-7258-0908-0 (Hardback)
- ISBN978-3-7258-0907-3 (PDF)
This book is a reprint of the Special Issue Assessing Hydrological Drought in a Climate Change: Methods and Measures that was published in
Biology & Life Sciences
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Public Health & Healthcare
Summary
Water is an indispensable resource for human life and activity, and it is significantly affected by climate change and anthropogenic activities. In the past few decades, the frequency and intensity of drought have increased in extended zones of the planet, with an obvious negative impact on the environment, human life, and the economy. In this context, the Special Issue “Assessing Hydrological Drought in a Climate Change: Methods and Measures” addresses the following main topics:
- Designing new drought indices to better quantify drought effects;
- Analyzing drought events from both qualitative and quantitative viewpoints;
- Detecting drought events and their correlations with climate change;
- Estimating the drought frequency and intensity of drought episodes;
- Modeling and forecasting time series related to drought events.
Format
- Hardback
License
© 2024 by the authors; CC BY-NC-ND license
Keywords
meteorological drought; SPI; bias; model-validation; drought class transitions; Urmia Lake Basin; drought; climate change; snow cover; evapotranspiration; ERA5; extremes; hydrological drought; water resources; mitigation; streamflow; return levels; trends; GEV distribution; hydrological drought; remote sensing; water indices; Nuntasi-Tuzla Lake; Romania; low flow; national water model; objective; threshold; breakpoint; low flow identification; streamflow drought; evapotranspiration; irrigation; soil water reserve; water balance; anthropogenic drought; ecological resilience; river basin; stability landscape; streamflow drought; low flows; national water model; multiannual patterns; autocorrelation; southeastern united states; water scarcity risk; drought; hazard; consequence; vulnerability; water scarcity; flood; ArcGIS; simulation; hydraulic modeling; catchment; flow; n/a