Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Bihrat Önöz"'
Autor:
Goksel Ezgi Guzey, Bihrat Onoz
Publikováno v:
Analytics, Vol 2, Iss 3, Pp 577-591 (2023)
In this study, the resilience of designed water systems in the face of limited streamflow gauging stations and escalating global warming impacts were investigated. By performing a regression analysis, simulated meteorological data with observed strea
Externí odkaz:
https://doaj.org/article/ae2dbb6f54f9442d975ec5d19c50ddbc
Autor:
Ozan Korkmaz, Bihrat Önöz
Publikováno v:
Energies, Vol 15, Iss 4, p 1392 (2022)
With heightening global concerns about the impacts of climate change, the debate around different carbon mitigation options is gaining momentum. A widespread argument is between those for and against utilizing nuclear energy as a low-carbon energy so
Externí odkaz:
https://doaj.org/article/f857274fe32d4bbfa5dea1ca74741aab
Autor:
Mustafa Utku Yilmaz, Bihrat Önöz
Publikováno v:
Water, Vol 12, Iss 2, p 459 (2020)
Water
Volume 12
Issue 2
Water
Volume 12
Issue 2
In this study, a comparative evaluation of the statistical methods for daily streamflow estimation at ungauged basins is presented. The single donor station drainage area ratio (DAR) method, the multiple-donor stations drainage area ratio (MDAR) meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d07f5b6dc41b7aeb87d9bba331574154
https://hdl.handle.net/20.500.11857/2994
https://hdl.handle.net/20.500.11857/2994
Autor:
Bülent Selek, Mehmet Ishak Yuce, Hafzullah Aksoy, Mahmut Çetin, Ece Unsal Karakus, Bihrat Önöz, Ebru Eris, Hakan Aksu, Musa Esit, Isilsu Yildirim, Halil Ibrahim Burgan
EgeUn###
This study attempts to find out the best-fit probability distribution function to low flows using the up-to-date data of intermittent and non-intermittent rivers in four hydrological basins from different regions in Turkey. Frequency an
This study attempts to find out the best-fit probability distribution function to low flows using the up-to-date data of intermittent and non-intermittent rivers in four hydrological basins from different regions in Turkey. Frequency an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7f9b71f332c6132525c3c5965f7c4dd
https://hdl.handle.net/20.500.12605/15432
https://hdl.handle.net/20.500.12605/15432
Autor:
Bihrat Önöz, Mustafa Utku Yilmaz
Publikováno v:
Volume: 30, Issue: 6 9597-9620
Teknik Dergi
Teknik Dergi
In this study, it was aimed to investigate the applicability of various statistical estimation methods for the Porsuk River basin, which has sparse streamflow observations. Estimations were performed using regression analysis (REG), the single donor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2135951ce1ed5d0739674ece0ebc76f5
https://dergipark.org.tr/tr/pub/tekderg/issue/42389/421091
https://dergipark.org.tr/tr/pub/tekderg/issue/42389/421091
Autor:
Aslıhan Albostan, Bihrat Önöz
Publikováno v:
Energy and Power Engineering. :81-92
The gauged river data play an important role in modeling, planning and management of the river basins. Among the hydrological data, the daily discharge data seem to be more significant for determining the amount of energy production and the control t
Publikováno v:
Journal of Hydrometeorology. 13:298-309
Estimation of drought characteristics such as probabilities and return periods of droughts of various lengths is of major importance in drought forecast and management and in solving water resources problems related to water quality and navigation. T
Autor:
Bihrat Önöz, M. Bayazit
Publikováno v:
Hydrological Processes. 26:3552-3560
Mann–Kendall (MK) test for trend detection must be modified when the data are serially correlated, to prevent the detection of false trends. Various approaches are developed for this purpose, such as prewhitening, trend-free prewhitening, variance
Autor:
M. Bayazit, Bihrat Önöz
Publikováno v:
Hydrological Sciences Journal. 52:611-624
The Mann-Kendall test, used to detect a trend in a time series, yields an incorrect (too large) rejection rate when applied to an autocorrelated series with no trend. Prewhitening corrects this situation, but reduces the power of the test when a tren