Research Article
BibTex RIS Cite

Year 2019, Volume: 23 Issue: 2, 301 - 307, 01.04.2019

Tuğçe Hırca Osman Sönmez

https://doi.org/10.16984/saufenbilder.475974
Cited By: 1

Abstract

References

  • [1] L. H. Feng and J. Lu, “The practical research on flood forecasting based on artificial neural networks,” Expert Systems with Applications, vol.37, no. 4, pp. 2974-2977, 2010.
  • [2] O. Sönmez and F. Demir, “Ağva ilçe merkezine ait taşkın yayılım haritalarının ve mevcut binaların taşkın su seviyelerinin tespiti,” Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 21, no.2, pp.105-112, 2016.
  • [3] D. N. Jeb and P. Aggarwal, “Flood ınundation hazard modelling of the river kaduna using remote sensing and geographic ınformation systems,” Journal of Applied Sciences Research, vol. 4, no.12, pp.1822-1833, 2008.
  • [4] H. Shamaoma, “Extraction of flood remote sensing ımagery,” Master's Thesis, Internatinnal Institute for Geo- Information Science and Earth Observation, Hollanda, 2005.
  • [5] T. Katayama, “International decade for natural disaster reduction: working against time,” UNU University Lectures (Tokyo: The United Nations University), 1994.
  • [6] S. Uşkay and S. Aksu, “Ülkemizde taşkınlar, nedenleri, zararları ve alınması gereken önlemler,” TMH -Türkiye Mühendislik Haberleri Dergisi, no. 420, pp.133- 136, 2002.
  • [7] https://www.mgm.gov.tr, Erişim Tarihi: 9.10.2018.
  • [8] G. Berz, “Flood disasters: lessons from the past – worries for the future,” Geosciences Research Group, Munich Reinsurance Company, D-80791, Germany,1999.
  • [9] http://www.emdat.be/, Erişim Tarihi:9/12/2017.
  • [10] F. Yazıcılar and H. Önder, “Taşkın yatakları planlamasında HEC- RAS bilgisayar programı ile su yüzü profili hesaplanması-Bartın Nehrinde bir uygulama,” Su Mühendisliği Problemleri Semineri (V), Fethiye, Muğla, 1-21, 1998.
  • [11] H. Özdemir, “SCS CN yağış-akış modelinin CBS ve uzaktan algılama yöntemleriyle uygulanması: Havran Çayı örneği (Balıkesir),” Ankara Üniversitesi Coğrafi Bilimler Dergisi, vol.5, no. 2, pp. 1-12, 2007.
  • [12] J. Amini, “A method for generating foodplain maps using IKONOS ımages and DEMs,’’ International Journal Remote Sensing, vol. 31, no.9, pp. 2441- 2456, 2010.
  • [13] H. Efe, “Batman Çayı’nın taşkın analizinin HEC-RAS programıyla yapılması,” Yüksek Lisans Tezi, Dicle Üniversitesi, Fen Bilimleri Enstitüsü, İnşaat Mühendisliği Bölümü, Diyarbakır, 2014.
  • [14] M. Yaylak, “Coğrafi Bilgi Sistemleri (CBS) yardımıyla Bitlis Deresi taşkın risk analizi,” Yüksek Lisans Tezi, Bitlis Eren Üniversitesi, Fen Bilimleri Enstitüsü, İnşaat Mühendisliği Bölümü, 2016.
  • [15]https://www.haritatr.com, Erişim Tarihi:15/02/2018.
  • [16]DSİ III. Bölge Müdürlüğü, Sakarya Akyazı İlçesi Küçüek Sanayi Bölgesini Etkileyen Küçücek Deresi ve Karaca Deresi Taşkınlarının Kontrol Altına Alınmasına Ait Ön İnceleme Raporu, Sakarya, 2016.
  • [17] J. Zhu and C. Tang, “Urban flood damage estimation using GIS and remote sensing, a case study in the Wenshan City China”, 3rd International Conforence on Advanced Computer Theory and Engineering (ICACTE). 2010.
  • [18] C. A. Doswell, H. E. Brooks, R. A. Maddox,“Flash Flood Forecasting: An Ingredients- Based Methodology,” Weather and Forecasting, No. 11, pp.560- 581, 1996.
  • [19] B. Hankin, S. Waller, G. Astle, R. Kellagher, “Mapping Space For Water: Screening For Urban Flash Flooding,” J. Flood Risk Manage,No.1, pp.13–22, 2008.
  • [20] J. T. Moore, S.M. Nolan, F.H. Glass, D.L. Ferry and S.M. Rochette, “Flash FloodProducing High-Precipitation Supercells in Missouri”. Preprints, 14th Conf. Wea. Analysis and Forecasting Amer. Meteor. Soc., (J4)7-12,

Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone

Year 2019, Volume: 23 Issue: 2, 301 - 307, 01.04.2019

Tuğçe Hırca Osman Sönmez

https://doi.org/10.16984/saufenbilder.475974
Cited By: 1

Abstract

Heavy and sudden rainfalls, snow melt, meteorological factors, human impact and climate change cause floods that lead to loss of life and property. Trend analysis shows that the number of floods has increased in recent years. The use of flood plains as a residental area or industrial area causes an increase in the potential impact of floods. Loss of life and property may ocur in a probable flood due to the presence of factories in the Akyazı industrial zone, which is one of the most affected zones by floods, and 1000-1500 people working actively in these factories.Therefore, flood protection wall was built by DSI for this zone. The aim of this study is to create a 1-D flood model of the zone within the scope of the Project for rehabilitation. Kucucek Creek passes through the study area. Kucucek Creek consists of merging of 2 branches on the upstream of the industrial zone. These are called Kucucek Creek main branch and Karaca Creek. In the study, ArcGIS 10.2 program was used to digitize the zone. In the hydraulic analyzes performed with 8 return period flood flows, it was determined that the repetition years will not occur flood and the rehabilitation project will be effective.

Keywords

Flood HEC-RAS Kucucek Creek

References

  • [1] L. H. Feng and J. Lu, “The practical research on flood forecasting based on artificial neural networks,” Expert Systems with Applications, vol.37, no. 4, pp. 2974-2977, 2010.
  • [2] O. Sönmez and F. Demir, “Ağva ilçe merkezine ait taşkın yayılım haritalarının ve mevcut binaların taşkın su seviyelerinin tespiti,” Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 21, no.2, pp.105-112, 2016.
  • [3] D. N. Jeb and P. Aggarwal, “Flood ınundation hazard modelling of the river kaduna using remote sensing and geographic ınformation systems,” Journal of Applied Sciences Research, vol. 4, no.12, pp.1822-1833, 2008.
  • [4] H. Shamaoma, “Extraction of flood remote sensing ımagery,” Master's Thesis, Internatinnal Institute for Geo- Information Science and Earth Observation, Hollanda, 2005.
  • [5] T. Katayama, “International decade for natural disaster reduction: working against time,” UNU University Lectures (Tokyo: The United Nations University), 1994.
  • [6] S. Uşkay and S. Aksu, “Ülkemizde taşkınlar, nedenleri, zararları ve alınması gereken önlemler,” TMH -Türkiye Mühendislik Haberleri Dergisi, no. 420, pp.133- 136, 2002.
  • [7] https://www.mgm.gov.tr, Erişim Tarihi: 9.10.2018.
  • [8] G. Berz, “Flood disasters: lessons from the past – worries for the future,” Geosciences Research Group, Munich Reinsurance Company, D-80791, Germany,1999.
  • [9] http://www.emdat.be/, Erişim Tarihi:9/12/2017.
  • [10] F. Yazıcılar and H. Önder, “Taşkın yatakları planlamasında HEC- RAS bilgisayar programı ile su yüzü profili hesaplanması-Bartın Nehrinde bir uygulama,” Su Mühendisliği Problemleri Semineri (V), Fethiye, Muğla, 1-21, 1998.
  • [11] H. Özdemir, “SCS CN yağış-akış modelinin CBS ve uzaktan algılama yöntemleriyle uygulanması: Havran Çayı örneği (Balıkesir),” Ankara Üniversitesi Coğrafi Bilimler Dergisi, vol.5, no. 2, pp. 1-12, 2007.
  • [12] J. Amini, “A method for generating foodplain maps using IKONOS ımages and DEMs,’’ International Journal Remote Sensing, vol. 31, no.9, pp. 2441- 2456, 2010.
  • [13] H. Efe, “Batman Çayı’nın taşkın analizinin HEC-RAS programıyla yapılması,” Yüksek Lisans Tezi, Dicle Üniversitesi, Fen Bilimleri Enstitüsü, İnşaat Mühendisliği Bölümü, Diyarbakır, 2014.
  • [14] M. Yaylak, “Coğrafi Bilgi Sistemleri (CBS) yardımıyla Bitlis Deresi taşkın risk analizi,” Yüksek Lisans Tezi, Bitlis Eren Üniversitesi, Fen Bilimleri Enstitüsü, İnşaat Mühendisliği Bölümü, 2016.
  • [15]https://www.haritatr.com, Erişim Tarihi:15/02/2018.
  • [16]DSİ III. Bölge Müdürlüğü, Sakarya Akyazı İlçesi Küçüek Sanayi Bölgesini Etkileyen Küçücek Deresi ve Karaca Deresi Taşkınlarının Kontrol Altına Alınmasına Ait Ön İnceleme Raporu, Sakarya, 2016.
  • [17] J. Zhu and C. Tang, “Urban flood damage estimation using GIS and remote sensing, a case study in the Wenshan City China”, 3rd International Conforence on Advanced Computer Theory and Engineering (ICACTE). 2010.
  • [18] C. A. Doswell, H. E. Brooks, R. A. Maddox,“Flash Flood Forecasting: An Ingredients- Based Methodology,” Weather and Forecasting, No. 11, pp.560- 581, 1996.
  • [19] B. Hankin, S. Waller, G. Astle, R. Kellagher, “Mapping Space For Water: Screening For Urban Flash Flooding,” J. Flood Risk Manage,No.1, pp.13–22, 2008.
  • [20] J. T. Moore, S.M. Nolan, F.H. Glass, D.L. Ferry and S.M. Rochette, “Flash FloodProducing High-Precipitation Supercells in Missouri”. Preprints, 14th Conf. Wea. Analysis and Forecasting Amer. Meteor. Soc., (J4)7-12,
There are 20 citations in total.

Details

Primary Language English
Subjects Civil Engineering
Journal Section Research Articles
Authors

Tuğçe Hırca 0000-0002-5694-767X

Osman Sönmez 0000-0001-5642-6391

Publication Date April 1, 2019
Submission Date October 30, 2018
Acceptance Date December 14, 2018
Published in Issue Year 2019 Volume: 23 Issue: 2

Cite

APA Hırca, T., & Sönmez, O. (2019). Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone. Sakarya University Journal of Science, 23(2), 301-307. https://doi.org/10.16984/saufenbilder.475974
AMA Hırca T, Sönmez O. Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone. SAUJS. April 2019;23(2):301-307. doi:10.16984/saufenbilder.475974
Chicago Hırca, Tuğçe, and Osman Sönmez. “Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone”. Sakarya University Journal of Science 23, no. 2 (April 2019): 301-7. https://doi.org/10.16984/saufenbilder.475974.
EndNote Hırca T, Sönmez O (April 1, 2019) Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone. Sakarya University Journal of Science 23 2 301–307.
IEEE T. Hırca and O. Sönmez, “Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone”, SAUJS, vol. 23, no. 2, pp. 301–307, 2019, doi: 10.16984/saufenbilder.475974.
ISNAD Hırca, Tuğçe - Sönmez, Osman. “Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone”. Sakarya University Journal of Science 23/2 (April 2019), 301-307. https://doi.org/10.16984/saufenbilder.475974.
JAMA Hırca T, Sönmez O. Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone. SAUJS. 2019;23:301–307.
MLA Hırca, Tuğçe and Osman Sönmez. “Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone”. Sakarya University Journal of Science, vol. 23, no. 2, 2019, pp. 301-7, doi:10.16984/saufenbilder.475974.
Vancouver Hırca T, Sönmez O. Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone. SAUJS. 2019;23(2):301-7.

Cited By

Flood Analysis with HEC-RAS: A Case Study of Tigris River
Advances in Civil Engineering
Selman Ogras
https://doi.org/10.1155/2020/6131982
 Download Cover Image

30930  This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.