Evaluating the use of bias-corrected radar rainfall data in three flood events in Samsun, Turkey

Date

2019-09-01

Author

Ozkaya, Arzu
Akyürek, Sevda Zuhal

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

221
views

0
downloads

In applied hydrology, estimating the peak flood discharge in ungauged or poorly gauged river sections is vital for urbanized areas. Spatially distributed rainfall data such as weather radar data may be a good choice to represent the driving force in hydrologic models for ungauged regions. However, it is important to examine the accuracy of this product, especially over mountainous regions. The bias between radar rainfall and rain gauge rainfall can be progressively removed by using information provided by rain gauges. The Kalman Filter algorithm is applied for the mean field bias correction of radar rainfall data using past estimates and observations. Regarding the bias-correction methods, two filtering approaches are developed from 8 events observed at 13 rain gauge stations, and the bias-corrected radar (BCR) rainfall data are used to compare simulated and observed hydrographs for the three flood events that caused severe consequences in Samsun–Terme. It is found out that in frontal type rainfall, BCR rainfall estimates improve the Nash–Sutcliffe efficiency from 0.56 to 0.80 in runoff simulation of the event occurred on 22 November 2014; however, simulations of the event occurred on 2 August 2015 and 28 May 2016 have poorer statistical results probably owing to the effect of convective type rainfall and snow melting, respectively.

Subject Keywords

Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Water Science and Technology

URI

https://hdl.handle.net/11511/41996

Journal

Natural Hazards

DOI

https://doi.org/10.1007/s11069-019-03723-z

Collections

Department of Civil Engineering, Article

Suggestions

OpenMETU
Core

Developing flood mitigation measures for the northern part of Nicosia Zaifoglu, H.; Yanmaz, Ali Melih; Akintug, B. (Springer Science and Business Media LLC, 2019-09-01) This study aims to examine a set of alternatives as remedial measures for the flood management purposes in order to protect the northern part of Nicosia which has been affected by major flooding events in recent years. In this context, at first, in order to obtain the run-off hydrographs at the entrance of reservoirs, the hydrological modelling of the ungauged catchments of Kanlikoy and Gonyeli Reservoirs which are located at the upstream part of the city was performed. In the simulation of these rainfall–r...
Seismic damage assessment based on regional synthetic ground motion dataset: a case study for Erzincan, Turkey Karim Zadeh Naghshineh, Shaghayegh; Askan Gündoğan, Ayşegül; Erberik, Murat Altuğ; Yakut, Ahmet (Springer Science and Business Media LLC, 2018-07-01) Estimation of seismic losses is a fundamental step in risk mitigation in urban regions. Structural damage patterns depend on the regional seismic properties and the local building vulnerability. In this study, a framework for seismic damage estimation is proposed where the local building fragilities are modeled based on a set of simulated ground motions in the region of interest. For this purpose, first, ground motion records are simulated for a set of scenario events using stochastic finite-fault methodolo...
Contamination of the cement raw material in a quarry site by seawater intrusion, Darica-Turkey Çamur, Mehmet Zeki (Springer Science and Business Media LLC, 2008-02-01) The open pit mining nearby shoreline is planned to be extended into below sea level in order to use additional reserves of the cement raw material (marl). The raw material is currently contaminated by seawater intrusion below a depth of 20 m up to the distance of 90 m from shoreline. Seawater intrusion related contamination of the material used for the cement production was investigated by means of diffusion process for the future two below sea level mining scenarios covering 43 years of period. According t...
Comparison Of Three Uncertainty-Analysis Methods To Assess Impacts On Groundwater Of Constituents Leached From Land-Disposed Waste Ünlü, Kahraman; Chong, P.K. (Springer Science and Business Media LLC, 1995-02-01) Assessment of the environmental fate and behavior of constituents that have the potential to leach from waste-disposal pits that are associated with petroleum exploration and production activities is a problem of interest to industry and regulatory agencies. A stochastic modeling approach for the migration of constituents in soil and groundwater was developed to assess the impact on groundwater at receptors that are downgradient from a waste pit. The model evaluates uncertainties in constituent concentrati...
Estimation of river flow by artificial neural networks and identification of input vectors susceptible to producing unreliable flow estimates Kentel Erdoğan, Elçin (Elsevier BV, 2009-09-15) Reliable river flow estimates are crucial for appropriate water resources planning and management. River flow forecasting can be conducted by conceptual or physical models, or data-driven black box models. Development of physically-based models requires an understanding of ail the physical processes which impact a natural process and the interactions among them. Since identification of the relationships among these physical processes is very difficult, data-driven approaches have recently been utilized in h...

Citation Formats

A. Ozkaya and S. Z. Akyürek, “Evaluating the use of bias-corrected radar rainfall data in three flood events in Samsun, Turkey,” Natural Hazards, pp. 643–674, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41996.