Statistical Modelling of Hydrological Extremes: Floods and Droughts
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: 20 July 2024 | Viewed by 113
Special Issue Editor
Interests: hydrological extremes; floods; droughts; precipitation; statistical modelling; estimation; uncertainty
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the face of observed climate change, we are increasingly dealing with extreme hydrological phenomena, such as droughts and floods. Their assessment, modelling and prediction represent a significant challenge for the scientific community. Due to their profound effects, hydrological extremes are also of special interest to the general public, policymakers and natural event risk managers. Hence, the most pressing challenge currently is the development of a new generation of more accurate and reliable models that can estimate the impact of environmental changes on the frequency and magnitude of extreme weather events.
In this Special Issue of Water, we are particularly interested in studies presenting innovative approaches to the statistical modelling and analysis of hydrological extremes, namely floods and droughts. We invite authors to present their research on the following topics, among other related subjects:
- Univariate and multivariate extreme value analysis;
- Flood frequency modelling;
- Regional and global drought analysis;
- Assessment of uncertainties in hydrological observations;
- (Combined) use of various sources of data as in situ, satellite, climate model outputs, paleohistorical, etc.
- Projections of extreme hydrological phenomena;
- Compound events approach;
- Socio-environmental consequences of hydrological extremes;
- Vulnerability analysis of extreme events.
Dr. Iwona Kuptel-Markiewicz
Guest Editor
Manuscript Submission Information
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Keywords
- hydrological extremes
- floods
- droughts
- statistical and stochastic modelling
- flood frequency analysis
- drought risk and uncertainty analysis
- climate change
