Missing data representation by perception thresholds in flood flow frequency assessment

Flood flow frequency analysis (FFA) plays one of the key roles in many fields of hydraulic engineering and water resources management. The reliability of FFA results depends on many factors, an obvious one being the reliability of the input data - datasets of the annual peak flow. In practice, howev...

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Autores principales:	Đokić Nikola, Blagojević Borislava, Mihailović Vladislava
Formato:	article
Lenguaje:	EN
Publicado:	Institut za istrazivanja i projektovanja u privredi 2021
Materias:	flood flow frequency analysis bulletin 17c perception thresholds missing data hs senta Technology T Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/365c2238277a4f6e9ced9cbbab0ad303
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id	oai:doaj.org-article:365c2238277a4f6e9ced9cbbab0ad303
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spelling	oai:doaj.org-article:365c2238277a4f6e9ced9cbbab0ad3032021-12-05T21:23:07ZMissing data representation by perception thresholds in flood flow frequency assessment1451-41171821-319710.5937/jaes0-28902https://doaj.org/article/365c2238277a4f6e9ced9cbbab0ad3032021-01-01T00:00:00Zhttps://scindeks-clanci.ceon.rs/data/pdf/1451-4117/2021/1451-41172102432Q.pdfhttps://doaj.org/toc/1451-4117https://doaj.org/toc/1821-3197Flood flow frequency analysis (FFA) plays one of the key roles in many fields of hydraulic engineering and water resources management. The reliability of FFA results depends on many factors, an obvious one being the reliability of the input data - datasets of the annual peak flow. In practice, however, engineers often encounter the problem of incomplete datasets (missing data, data gaps and/or broken records) which increases the uncertainty of FFA results. In this paper, we perform at-site focused analysis, and we use a complete dataset of annual peak flows from 1931 to 2016 at the hydrologic station Senta of the Tisa (Tisza) river as the reference dataset. From this original dataset we remove some data and thus we obtain 15 new datasets with one continuous gap of different length and/or location. Each dataset we further subject to FFA by using the USACE HEC-SSP Bulletin 17C analysis, where we apply perception thresholds for missing data representation. We vary perception threshold lower bound for all missing flows in one dataset, so that we create 56 variants of the input HEC-SSP datasets. The flood flow quantiles assessed from the datasets with missing data and different perception thresholds we evaluate by two uncertainty measures. The results indicate acceptable flood quantile estimates are obtained, even for larger return periods, by setting a lower perception threshold bound at the value of the highest peak flow in the available - incomplete dataset.Đokić NikolaBlagojević BorislavaMihailović VladislavaInstitut za istrazivanja i projektovanja u privrediarticleflood flow frequency analysisbulletin 17cperception thresholdsmissing datahs sentaTechnologyTEngineering (General). Civil engineering (General)TA1-2040ENIstrazivanja i projektovanja za privredu, Vol 19, Iss 2, Pp 432-438 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	flood flow frequency analysis bulletin 17c perception thresholds missing data hs senta Technology T Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	flood flow frequency analysis bulletin 17c perception thresholds missing data hs senta Technology T Engineering (General). Civil engineering (General) TA1-2040 Đokić Nikola Blagojević Borislava Mihailović Vladislava Missing data representation by perception thresholds in flood flow frequency assessment
description	Flood flow frequency analysis (FFA) plays one of the key roles in many fields of hydraulic engineering and water resources management. The reliability of FFA results depends on many factors, an obvious one being the reliability of the input data - datasets of the annual peak flow. In practice, however, engineers often encounter the problem of incomplete datasets (missing data, data gaps and/or broken records) which increases the uncertainty of FFA results. In this paper, we perform at-site focused analysis, and we use a complete dataset of annual peak flows from 1931 to 2016 at the hydrologic station Senta of the Tisa (Tisza) river as the reference dataset. From this original dataset we remove some data and thus we obtain 15 new datasets with one continuous gap of different length and/or location. Each dataset we further subject to FFA by using the USACE HEC-SSP Bulletin 17C analysis, where we apply perception thresholds for missing data representation. We vary perception threshold lower bound for all missing flows in one dataset, so that we create 56 variants of the input HEC-SSP datasets. The flood flow quantiles assessed from the datasets with missing data and different perception thresholds we evaluate by two uncertainty measures. The results indicate acceptable flood quantile estimates are obtained, even for larger return periods, by setting a lower perception threshold bound at the value of the highest peak flow in the available - incomplete dataset.
format	article
author	Đokić Nikola Blagojević Borislava Mihailović Vladislava
author_facet	Đokić Nikola Blagojević Borislava Mihailović Vladislava
author_sort	Đokić Nikola
title	Missing data representation by perception thresholds in flood flow frequency assessment
title_short	Missing data representation by perception thresholds in flood flow frequency assessment
title_full	Missing data representation by perception thresholds in flood flow frequency assessment
title_fullStr	Missing data representation by perception thresholds in flood flow frequency assessment
title_full_unstemmed	Missing data representation by perception thresholds in flood flow frequency assessment
title_sort	missing data representation by perception thresholds in flood flow frequency assessment
publisher	Institut za istrazivanja i projektovanja u privredi
publishDate	2021
url	https://doaj.org/article/365c2238277a4f6e9ced9cbbab0ad303
work_keys_str_mv	AT đokicnikola missingdatarepresentationbyperceptionthresholdsinfloodflowfrequencyassessment AT blagojevicborislava missingdatarepresentationbyperceptionthresholdsinfloodflowfrequencyassessment AT mihailovicvladislava missingdatarepresentationbyperceptionthresholdsinfloodflowfrequencyassessment
_version_	1718370994485198848

Missing data representation by perception thresholds in flood flow frequency assessment

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