Use of innovation maps for assessing the impact of Tsunamis on the coastal lines of Istanbul

Date

2002-01-01

Author

Şeker, Dursun Zafer
Kabdasli, S.
Ulusoy, A.I.
Yalçıner, Ahmet Cevdet

Metadata

Show full item record

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

Item Usage Stats

153
views

0
downloads

In this study to produce innovation maps of study area, different types of data such as elevation and bathymetry of study area and Geographic Information Systems (GIS) have been used to determine risks areas on the coastline under the threat of tsunami.

URI

https://hdl.handle.net/11511/56286

DOI

https://doi.org/10.1061/40605(258)80

Collections

Department of Civil Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Development of GIS-based national hydrography dataset, sub-basin boundaries, and water quality/quantity data analysis system for Turkey Girgin, Serkan; Usul, Nurünnisa; Akyürek, Zuhal; Department of Geodetic and Geographical Information Technologies (2003) Computerized data visualization and analysis tools, especially Geographic Information Systems (GIS), constitute an important part of today̕s water resources development and management studies. In order to obtain satisfactory results from such tools, accurate and comprehensive hydrography datasets are needed that include both spatial and hydrologic information on surface water resources and watersheds. If present, such datasets may support many applications, such as hydrologic and environmental modeling, imp...
An approach for landslide risk assesment by using geographic information systems (gis) and remote sensing (rs) Erener, Arzu; Düzgün, H. Şebnem; Department of Geodetic and Geographical Information Technologies (2009) This study aims to develop a Geographic Information Systems (GIS) and Remote Sensing (RS) Based systematic quantitative landslide risk assessment methodology for regional and local scales. Each component of risk, i.e., hazard assessment, vulnerability, and consequence analysis, is quantitatively assessed for both scales. The developed landslide risk assessment methodology is tested at Kumluca watershed, which covers an area of 330 km2, in Bartın province of the Western Black Sea Region, Turkey. GIS and RS t...
Integration and Usage of Indices Feature Components and Topography in Vegetation Classification for Regional Biodiversity Assessment Domaç, Aysegül; Zeydanlı, Uğur; Ertan, Yeşilnacar; Süzen, Mehmet Lütfi (2004-07-23) The classification of vegetation has been an important research subject in botany, ecology, geography, and other disciplines to map the differences in vegetation types. Classifying vegetation by remote sensing is valuable because it can determine vegetation distribution and occurrence for very large areas in a short time. Advances in technology have led to developments in methods of vegetation classification, leading to the creation of new and more sophisticated components and powerful techniques. Classifyi...
Evaluation of glaciation and glacial shapes using geographic information systems and remote sensing (Eastern Black Sea) Geçen, Reşat; Toprak, Vedat; Tombul, Saadettin; Department of Geodetic and Geographical Information Technologies (2011) This study investigates the actual glaciers and the major properties of glacial landscapes (valleys, cirques and lakes) located over the Eastern Black Sea mountain chain using Geographic Information Systems (GIS) and Remote Sensing (RS) technologies. A database is created for each glacial feature that includes fundamental properties of each landscape. Data layers used in the study include digital and analog topographic maps, satellite images, geological maps and drainage maps. The studies carried out yielde...
Preparation of a geotechnical microzonation model using Geographical Information Systems based on Multicriteria Decision Analysis Kolat, Çağıl; AYDAY, Can; Süzen, Mehmet Lütfi (2006-11-03) The purpose of this study is to develop a geotechnical microzonation model using Geographical Information Systems (GIS) based on Multicriteria Decision Analysis (MCDA). As study area, the Eskisehir downtown area has been chosen. Eskisehir is one of the most rapidly growing cities in central Turkey. The model inputs include slope, flood susceptibility, soil, depth to groundwater table, swelling potential, and liquefaction potential. The weight and rank values are assigned to the layers and to the classes of ...

Citation Formats

D. Z. Şeker, S. Kabdasli, A. I. Ulusoy, and A. C. Yalçıner, “Use of innovation maps for assessing the impact of Tsunamis on the coastal lines of Istanbul,” 2002, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56286.