TY  - JOUR
AU  - Đokić, Nikola
AU  - Blagojević, Borislava
AU  - Mihailović, Vladislava
PY  - 2021
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1223
AB  - 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.
PB  - Institut za istraživanja i projektovanja u privredi, Beograd
T2  - Journal of Applied Engineering Science
T1  - Missing data representation by perception thresholds in flood flow frequency assessment
EP  - 438
IS  - 2
SP  - 432
VL  - 19
DO  - 10.5937/jaes0-28902
UR  - conv_1940
ER  - 

@article{
author = "Đokić, Nikola and Blagojević, Borislava and Mihailović, Vladislava",
year = "2021",
abstract = "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.",
publisher = "Institut za istraživanja i projektovanja u privredi, Beograd",
journal = "Journal of Applied Engineering Science",
title = "Missing data representation by perception thresholds in flood flow frequency assessment",
pages = "438-432",
number = "2",
volume = "19",
doi = "10.5937/jaes0-28902",
url = "conv_1940"
}

Đokić, N., Blagojević, B.,& Mihailović, V.. (2021). Missing data representation by perception thresholds in flood flow frequency assessment. in Journal of Applied Engineering Science
Institut za istraživanja i projektovanja u privredi, Beograd., 19(2), 432-438.
https://doi.org/10.5937/jaes0-28902
conv_1940

Đokić N, Blagojević B, Mihailović V. Missing data representation by perception thresholds in flood flow frequency assessment. in Journal of Applied Engineering Science. 2021;19(2):432-438.
doi:10.5937/jaes0-28902
conv_1940 .

Đokić, Nikola, Blagojević, Borislava, Mihailović, Vladislava, "Missing data representation by perception thresholds in flood flow frequency assessment" in Journal of Applied Engineering Science, 19, no. 2 (2021):432-438,
https://doi.org/10.5937/jaes0-28902 .,
conv_1940 .

TY  - JOUR
AU  - Blagojević, Borislava
AU  - Mihailović, Vladislava
AU  - Đokić, Nikola
PY  - 2020
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1104
AB  - Koncept pragova percepcije uveden u okviru novih preporuka za ocenu velikih voda u SAD - Biltenu 17c, namenjen je predstavljanju protoka u godinama bez podataka osmatranja. U radu se na uzorku od 9 stanica sa potpunim nizom osmatranja na teritoriji Srbije, utvrđuje pogodnost korišćenja tri visine donjeg praga percepcije, na osnovu karakteristika nepotpunih nizova. Ispitano je ukupno 160 nizova. Nepotpuni nizovi su formirani na tri načina, izostavljanjem podataka od jedne do dvadeset godina u kontinuitetu, na različitim mestima u osmotrenom nizu. Rezultati upućuju na malu osetljivost na visinu primenjenih donjih pragova percepcije svih ocenjenih kvantila velikih voda na ispitivanim stanicama na Dunavu, Savi i Velikoj Moravi. Kod četiri ispitivane stanice srednje površine sliva (1000-8000 km2), kvantili velikih voda su uglavnom potcenjeni. Za stanice sa identifikovanim donjim izuzecima, bez obzira na površinu sliva, bolji rezultati su dobijeni za niži donji prag percepcije.
AB  - The concept of perception thresholds has been introduced as a part of new guidelines for flood frequency assessment in the U.S. - Bulletin 17c with intention to present missing flow data. The paper investigates the suitability of using three values as the lower perception threshold based on the characteristics of incomplete series in 9 stations in Serbia with complete datasets. A total of 160 datasets were analyzed. Incomplete datasets are formed in three ways, creating gaps from one to twenty consecutive years, at different locations in the observed dataset. The results indicate low sensitivity to the value of the applied lower perception threshold for all estimated flood quantiles at the studied stations on the river Danube, Sava and Velika Morava (area  gt  30000km2 ). In the four examined stations of the medium catchment area (~1000-8000 km2 ), the underestimated flood quantiles prevail. At stations with detected low outliers, regardless of the catchment area, better results were obtained for the smaller lower perception threshold value.
PB  - Jugoslovensko društvo za odvodnjavanje i navodnjavanje, Beograd
T2  - Vodoprivreda
T1  - Ocena kvantila velikih voda iz nepotpunih nizova osmatranja na većim slivovima u Srbiji primenom pragova percepcije
T1  - Flood quantile assessment from incomplete datasets in large catchments in Serbia using perception thresholds
EP  - 308
IS  - 4-6
SP  - 259
VL  - 52
UR  - conv_13
ER  - 

@article{
author = "Blagojević, Borislava and Mihailović, Vladislava and Đokić, Nikola",
year = "2020",
abstract = "Koncept pragova percepcije uveden u okviru novih preporuka za ocenu velikih voda u SAD - Biltenu 17c, namenjen je predstavljanju protoka u godinama bez podataka osmatranja. U radu se na uzorku od 9 stanica sa potpunim nizom osmatranja na teritoriji Srbije, utvrđuje pogodnost korišćenja tri visine donjeg praga percepcije, na osnovu karakteristika nepotpunih nizova. Ispitano je ukupno 160 nizova. Nepotpuni nizovi su formirani na tri načina, izostavljanjem podataka od jedne do dvadeset godina u kontinuitetu, na različitim mestima u osmotrenom nizu. Rezultati upućuju na malu osetljivost na visinu primenjenih donjih pragova percepcije svih ocenjenih kvantila velikih voda na ispitivanim stanicama na Dunavu, Savi i Velikoj Moravi. Kod četiri ispitivane stanice srednje površine sliva (1000-8000 km2), kvantili velikih voda su uglavnom potcenjeni. Za stanice sa identifikovanim donjim izuzecima, bez obzira na površinu sliva, bolji rezultati su dobijeni za niži donji prag percepcije., The concept of perception thresholds has been introduced as a part of new guidelines for flood frequency assessment in the U.S. - Bulletin 17c with intention to present missing flow data. The paper investigates the suitability of using three values as the lower perception threshold based on the characteristics of incomplete series in 9 stations in Serbia with complete datasets. A total of 160 datasets were analyzed. Incomplete datasets are formed in three ways, creating gaps from one to twenty consecutive years, at different locations in the observed dataset. The results indicate low sensitivity to the value of the applied lower perception threshold for all estimated flood quantiles at the studied stations on the river Danube, Sava and Velika Morava (area  gt  30000km2 ). In the four examined stations of the medium catchment area (~1000-8000 km2 ), the underestimated flood quantiles prevail. At stations with detected low outliers, regardless of the catchment area, better results were obtained for the smaller lower perception threshold value.",
publisher = "Jugoslovensko društvo za odvodnjavanje i navodnjavanje, Beograd",
journal = "Vodoprivreda",
title = "Ocena kvantila velikih voda iz nepotpunih nizova osmatranja na većim slivovima u Srbiji primenom pragova percepcije, Flood quantile assessment from incomplete datasets in large catchments in Serbia using perception thresholds",
pages = "308-259",
number = "4-6",
volume = "52",
url = "conv_13"
}

Blagojević, B., Mihailović, V.,& Đokić, N.. (2020). Ocena kvantila velikih voda iz nepotpunih nizova osmatranja na većim slivovima u Srbiji primenom pragova percepcije. in Vodoprivreda
Jugoslovensko društvo za odvodnjavanje i navodnjavanje, Beograd., 52(4-6), 259-308.
conv_13

Blagojević B, Mihailović V, Đokić N. Ocena kvantila velikih voda iz nepotpunih nizova osmatranja na većim slivovima u Srbiji primenom pragova percepcije. in Vodoprivreda. 2020;52(4-6):259-308.
conv_13 .

Blagojević, Borislava, Mihailović, Vladislava, Đokić, Nikola, "Ocena kvantila velikih voda iz nepotpunih nizova osmatranja na većim slivovima u Srbiji primenom pragova percepcije" in Vodoprivreda, 52, no. 4-6 (2020):259-308,
conv_13 .