Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Source-pathway-receptor-consequence conceptual model for floodıng and tsunamı at the ayamama rıver and coastal area
Download
12626223.pdf
Date
2021-2-15
Author
Çoban, İlker
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
483
views
381
downloads
Cite This
There are many sources of flooding of river basins and coastal areas such as precipitation, tsunami, and storm surge. When assessing the risk of these hazards, it is important to understand the source but also to define the flood plain characteristics considering links between elements of flood plain. Although numerical hydraulic models are widely used to evaluate the risk quantitatively, description of the multiple links between exposure and susceptibility of a specific location or population is not achieved easily. Also, they can be limited by data, quality of resources and computational tools. Source-Pathway-Receptor-Consequence (SPRC) conceptual model is an alternative method to define flood plain that describes relationships of each element inside as a snapshot. SPRC conceptual model aims to provide better understanding of the study area, existing flood protection structures, the relationship of the flood source, land use and all stakeholders. The aim of this study is to analyze the tsunami inundation and river flooding at the Ayamama River and Bakırköy coastline of Istanbul by using SPRC conceptual model. This study area has experienced multiple river flood events in the last 20 years and the coastal area is highly prone to tsunami. While SPRC model represents an alternative view for coastal flood plain, HEC-RAS and NAMI DANCE numerical models are also constructed for this area in order to compare different approaches of modelling. HEC-RAS model was run with 500 year return period flood and NAMI DANCE model was run with expected land slide source in the Büyükçekmece coast. For numerical models, CORINE database, gauge observations, meteorological data, numerical elevation model are used. For the study area, the results highlighted those locations which act as pathway for multiple receptors. These locations can be assumed as suitable locations for protection measures. Output of the studies showed that although SPRC models cannot provide a quantitative analysis of the critical areas, it can be an efficient wayto describe the propagation of flood over a complex flood plain for different type of flood sources.
Subject Keywords
SPRC
,
Tsunami
,
Flood Risk
,
Ayamama River
,
NAMI DANCE
,
HEC-RAS
URI
https://hdl.handle.net/11511/89768
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Assessment of different rainfall products in flood simulations
Özkaya, Arzu; Akyürek, Sevda Zuhal; Department of Civil Engineering (2017)
Floods happening due to heavy rainfall are one of the most widespread natural hazards. To predict such events, accurate rainfall products and well calibrated hydrologic models are essential especially in urban settlements for life savings. With the objective of assessing the rain detection potential of rainfall data products, several hourly rainfall datasets are used as forcing inputs in two hydrologic models. Physic based distributed model, WRF-Hydro, and conceptual based lumped model, HEC HMS, are used to...
WRF-Hydro Model Application in a Data-Scarce, Small and Topographically Steep Catchment in Samsun, Turkey
Ozkaya, Arzu; Akyürek, Sevda Zuhal (2020-05-01)
Floods due to heavy rainfall are one of the most frequent and widespread natural hazards. Rainfall is one of the key variables in flood modeling. For topographically steep catchments, flood modeling requires accurate rainfall sources in both time and space. The objective of this study is to compare different rainfall sources in physics-based distributed hydrologic model, (Weather Research and Forecasting) WRF-Hydro, in a data-scarce, small and topographically steep catchment. For this purpose, the model was...
Rainfall-triggered landslides in an unsaturated soil: a laboratory flume study
Ahmadi-Adli, Mohammad; Huvaj Sarıhan, Nejan; Toker, Nabi Kartal (2017-11-01)
Extreme and/or prolonged rainfall events frequently cause landslides in many parts of the world. In this study, infiltration of rainfall into an unsaturated soil slope and triggering of landslides is studied through laboratory model (flume) tests, with the goal of obtaining the triggering rainfall intensity-duration (I-D) threshold. Flume tests with fine sand at two different relative densities (34 and 48%) and at slope angle of 56.5 degrees are prepared, and rainfall (intensity in the range of 18 to 64 mm/...
Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps
Behrens, Jörn; et. al. (2021-04-29)
Tsunamis are unpredictable and infrequent but potentially large impact natural disasters. To prepare, mitigate and prevent losses from tsunamis, probabilistic hazard and risk analysis methods have been developed and have proved useful. However, large gaps and uncertainties still exist and many steps in the assessment methods lack information, theoretical foundation, or commonly accepted methods. Moreover, applied methods have very different levels of maturity, from already advanced probabilistic tsunami haz...
Analysis of the 2007 and 2013 Droughts in Turkey by NOAH Hydrological Model
Bulut, Burak; Yılmaz, Mustafa Tuğrul (2016-10-01)
Analysis of drought, which is classified as a natural disaster, is globally considering the damage it gives. As a result detection of its characteristics is essential for understanding and reducing the effects of this natural disaster and for imminent prediction. In this study, soil moisture estimates obtained from NOAH hydrological model and normalized difference vegetation index obtained from MODIS observations are used to analysis the recent droughts in Turkey. With the utilization of these parameters th...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
İ. Çoban, “Source-pathway-receptor-consequence conceptual model for floodıng and tsunamı at the ayamama rıver and coastal area,” M.S. - Master of Science, Middle East Technical University, 2021.