Comparison of nonstationary regional flood frequency analysis techniques based on the index-flood approach
Kalai, Chingka; Mondal, Arpita; Griffin, Adam ORCID: https://orcid.org/0000-0001-8645-4561; Stewart, Elizabeth ORCID: https://orcid.org/0000-0003-4246-6645. 2020 Comparison of nonstationary regional flood frequency analysis techniques based on the index-flood approach. Journal of Hydrologic Engineering, 25 (7), 06020003. 7, pp. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001939
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Abstract/Summary
Regional flood frequency analysis (RFFA) techniques are used in hydrological applications for estimation of design quantiles at ungauged sites or catchments with sparse observational records. The index-flood method, a popular approach for RFFA, is based on the assumption that the flood records within a homogeneous region are identically distributed, except for a site-specific index flood. Because of rapidly changing land-use patterns, human interventions, and climate change, recent studies proposed extension of the index-flood method to account for nonstationarity in flood records. This work compared index-flood–based nonstationary RFFA techniques, in both synthetically generated and real-world homogeneous regions, with sites marked by significant trends in flood records. From the data used in the analysis, it is evident that two recently proposed transformation-based approaches are more suitable compared to other methods, and can capture time-varying behavior of floods effectively.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | https://doi.org/10.1061/(ASCE)HE.1943-5584.0001939 |
UKCEH and CEH Sections/Science Areas: | Hydro-climate Risks (Science Area 2017-) |
ISSN: | 1084-0699 |
Additional Keywords: | regional flood frequency analysis, nonstationary, index-flood method, annual maximum flood, generalized extreme value distribution, design flood quantiles, uncertainties |
NORA Subject Terms: | Hydrology |
Date made live: | 10 Jun 2020 10:59 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/527922 |
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