Sakarya University Journal of Science
Research Article
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Year 2019, Volume 23, Issue 2, 301 - 307, 01.04.2019

Tuğçe HIRCA 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 HIRCA 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,

Details

Primary Language English
Subjects Civil Engineering
Published Date April 2019
Journal Section Research Articles
Authors

Tuğçe HIRCA (Primary Author)
SAKARYA UNIVERSITY
0000-0002-5694-767X
Türkiye

Osman SÖNMEZ
SAKARYA UNIVERSITY
0000-0001-5642-6391
Türkiye

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

Cite

Bibtex @research article { saufenbilder475974, journal = {Sakarya University Journal of Science}, issn = {}, eissn = {2147-835X}, address = {}, publisher = {Sakarya University}, year = {2019}, volume = {23}, pages = {301 - 307}, doi = {10.16984/saufenbilder.475974}, title = {Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone}, key = {cite}, author = {Hırca, Tuğçe and Sönmez, Osman} }
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 . DOI: 10.16984/saufenbilder.475974
MLA Hırca, T. , Sönmez, O. "Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone" . Sakarya University Journal of Science 23 (2019 ): 301-307 <http://www.saujs.sakarya.edu.tr/en/pub/issue/39539/475974>
Chicago Hırca, T. , Sönmez, O. "Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone". Sakarya University Journal of Science 23 (2019 ): 301-307
RIS TY - JOUR T1 - Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone AU - Tuğçe Hırca , Osman Sönmez Y1 - 2019 PY - 2019 N1 - doi: 10.16984/saufenbilder.475974 DO - 10.16984/saufenbilder.475974 T2 - Sakarya University Journal of Science JF - Journal JO - JOR SP - 301 EP - 307 VL - 23 IS - 2 SN - -2147-835X M3 - doi: 10.16984/saufenbilder.475974 UR - https://doi.org/10.16984/saufenbilder.475974 Y2 - 2018 ER -
EndNote %0 Sakarya University Journal of Science Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone %A Tuğçe Hırca , Osman Sönmez %T Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone %D 2019 %J Sakarya University Journal of Science %P -2147-835X %V 23 %N 2 %R doi: 10.16984/saufenbilder.475974 %U 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
AMA Hırca T. , Sönmez O. Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone. SAUJS. 2019; 23(2): 301-307.
Vancouver Hırca T. , Sönmez O. Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone. Sakarya University Journal of Science. 2019; 23(2): 301-307.
IEEE T. Hırca and O. Sönmez , "Determination of Flood Inundation Maps: A Case Study of Akyazi Industrial Zone", Sakarya University Journal of Science, vol. 23, no. 2, pp. 301-307, Apr. 2019, doi:10.16984/saufenbilder.475974

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