Research Article
BibTex RIS Cite

Combination of Satellite Images and Numerical Model for the State Followed the Coast of the Bay of Bejaia-Jijel

Year 2017, Volume: 4 Issue: 1, 1 - 7, 01.03.2017
https://doi.org/10.30897/ijegeo.306486

Abstract

Bay of Bejaia-Jijel extends over a length of 100 km with the presence of the ports, the beaches of rivers that
discharge of the bay. This area characterized by strong economic activity, namely tourism and fisheries.
However, severe erosion, high hydrodynamic activity and significant silting of ports affect this bay. Hence, the
interest of this study, which tries to explain these phenomena, based on multisource data with multitasking
models. First, we developed an algorithm that can convert satellite images in coastline vector. This technique
applied to three images LANDSAT TM and OLI sensed in 1987, 2011; 2015. The multi-temporal monitoring
coastlines show that the region suffered severe erosion. This erosion is 4.6 m / year for the period of 1987/2011
and 1.5 m / year for the period 2011/2015. To explain this phenomenon we interested to do a study of
hydrodynamics using the SWAN software. We used a long time series of wind speed and direction to discern
extreme cases in the region. For maximum wind, the significant wave height recorded very high values and a
very active orbital current with a speed that exceeds 0.7 m / s. Numerical modelling has allowed us to explain
the erosion but does not explain the speed difference coastline. To find the explanation of erosion speed
difference between the two periods we consulted the administrative archive of the region. In the archive, the
number of authorized hourglasses is, 12 in the 90s, but 36 quarries operate haphazardly. In this period the
balance of suspended matter is completely unbalanced which promotes erosion. After 2008, these quarries were
closed therefore the balance of the suspended material has improved and consequently coastal erosion has
decreased.

References

  • Alesheikh AA, Ghorbanali A and Nouri N (2007): Coastline Change Detection Using Remote Sensing.Int J Environ Sci Tech 4: 61-66.
  • Bachari,N. and Houma,F. (2010): Méthodologie pour le suivi du trait de côte de la région centre d’algerie. CIESM Congress Venice, 10-14 May 2010.
  • Booij, N., L.H. Holthuijsen, and T.H.C. Herbers (1985) A Numerical Model for Wave Boundary Conditions in Port Design. Proc. Intl. Conf. Numerical and Physical Modeling of Ports and Harbours,” BHRA, Birmingham, 263–268
  • Chen LC, Rau JY (1998): Detection of shoreline changes for tideland areas using multi-temporal satellite images. Int. J. Remote Sensing 19: 3383-339.
  • Crowell M, Leatherman SP (1999): Coastal erosion mappin and management. Journal of Coastal Research 28: 1-196.
  • Fadhli, F.Z. and Bachari,N. (2016): Geographical Objects Extraction Combining Fuzzy Logic and High Resolution RGB Image Volume 16 (2): 17-34.
  • Fadhli, F.Z .and Bachari,N. (2015): A fuzzy logic method for extraction of geographic objects from IKONOS imagery” International Review on Computers and Software (I.RE.CO.S.) Vol 10 (4): 372-379.
  • Gazioğlu C, Yücel Y Z, Burak S., Okuş, E. and Alpar, B., (1997). Coastline change and inadequate management between Kilyos and Karaburun shoreline. Turkish Journal of Marine Sciences, 3(2): 111–122.
  • Gazioğlu C., Burak,S., Alpar, B., Türker, A. and Barut, IF. (2010) Foreseeable impacts of sea level rise on the southern coast of the Marmara Sea (Turkey), Water Policy Vol 12(6): 932-943.
  • Gazioğlu, C., Akkaya, M.A., Baltaoğlu, S. and Burrak, S.Z. (2016). ICZM and the Sea of Marmara: The İstanbul Case. The Sea of Marmara: Marine Biodivesity, Fisheries, Conservations and Governanace (Editors: Özsoy, E., Çağatay, M.N., Balkıs, N., Balkıs Çağlar, N., Öztürk, B.): 935-957.
  • Görmüş, K.S., Kutoğlu, Ş.H., Şeker, D.Z., Özölçer; İ.H. Oruç, M. and Aksoy, B. (2014).Temporal analysis of coastal erosion in Turkey: a case study Karasu coastal region, Journal of Coastal Conservation, Vol. 18(4): 399–414
  • Hervouet, J.M. (2007). Hydrodynamics of Free Surface Flows: Modelling with the Finite Element Method, Wiley and Sons. Ltd.
  • Holthuijsen, L.H.,N. Booij, and R.C. Ris (1993) A Spectral Wave Model for the Coastal Zone, Proc. 2nd Intl. Symp. Ocean Wave Measurement and Analysis, ASCE, NewOrleans, 630–641
  • Kannan R, Ramanamurthy MV and Kanungo A (2016): Shoreline Change Monitoring in Nellore Coast at East Coast Andhra Pradesh District Using Remote Sensing and GIS. . J Fisheries Livest Prod 4:161. doi:10.4172/2332-2608.1000161
  • Meherrar,K and Bachari,N. (2014). Modeling of radiative transfer of natural surfaces in the solar radiation spectrum: development of a satellite simulator (SDDS). International Journal of Remote Sensing Vol 35, No.4,1199-1216.
  • Moore LJ (2000): Shoreline mapping techniques. Journal of Coastal Research 16: 111-124.
  • Musaoglu, N., Şeker, D.Z.; Kabdaşlı, S.; Kaya, Ş. and Duran, Z. (2004) Using remote sensing and GIS for the assessment of visual attributes: a case study of the south coastal zone of Turkey, Fresenius Environmental Bulletin 13(9): 854–859
  • Patra SK, Shekher M, Solanki SS, Ramachandran R, Krishnan R (2006): A technique for generating natural colour images from false colour composite images. International Journal of Remote Sensing, 27: 2977–2989.
  • Simav Ö, Zafer Şeker D.Z. and Gazioğlu C (2013) Coastal inundation due to sea level rise and extreme sea state and its potential impacts: Çukurova Delta case. Turkish J Earth sci 22:671–680.
  • Şeker D.Z., Tanık, A., Citil, E., Öztürk, İ., Övez, S. and Levet, T.B. (2016). Importance and Vulnerability Analyses for Functional Zoning in a Coastal District of Turkey, International Journal of Environment and Geoinformatics (IJEGEO), Vol:3(3):77-93.
  • Şeker, D.Z., Kaya, Ş., Alkan, R.M., Tanık, A. and Saroglu, E. (2008). 3D coastal erosion analysis of Kilyos–Karaburun region using multi-temporal satellite image data, Fresenius Environmental Bulletin Vol. 17(11b): 1977-1982.
  • Thieler ER, Himmelstoss EA, Zichichi JL, Ayhan E (2009): “Digital Shoreline Analysis System (DSAS) version 4.0. An ArcGIS extension for calculating shoreline change”.
Year 2017, Volume: 4 Issue: 1, 1 - 7, 01.03.2017
https://doi.org/10.30897/ijegeo.306486

Abstract

References

  • Alesheikh AA, Ghorbanali A and Nouri N (2007): Coastline Change Detection Using Remote Sensing.Int J Environ Sci Tech 4: 61-66.
  • Bachari,N. and Houma,F. (2010): Méthodologie pour le suivi du trait de côte de la région centre d’algerie. CIESM Congress Venice, 10-14 May 2010.
  • Booij, N., L.H. Holthuijsen, and T.H.C. Herbers (1985) A Numerical Model for Wave Boundary Conditions in Port Design. Proc. Intl. Conf. Numerical and Physical Modeling of Ports and Harbours,” BHRA, Birmingham, 263–268
  • Chen LC, Rau JY (1998): Detection of shoreline changes for tideland areas using multi-temporal satellite images. Int. J. Remote Sensing 19: 3383-339.
  • Crowell M, Leatherman SP (1999): Coastal erosion mappin and management. Journal of Coastal Research 28: 1-196.
  • Fadhli, F.Z. and Bachari,N. (2016): Geographical Objects Extraction Combining Fuzzy Logic and High Resolution RGB Image Volume 16 (2): 17-34.
  • Fadhli, F.Z .and Bachari,N. (2015): A fuzzy logic method for extraction of geographic objects from IKONOS imagery” International Review on Computers and Software (I.RE.CO.S.) Vol 10 (4): 372-379.
  • Gazioğlu C, Yücel Y Z, Burak S., Okuş, E. and Alpar, B., (1997). Coastline change and inadequate management between Kilyos and Karaburun shoreline. Turkish Journal of Marine Sciences, 3(2): 111–122.
  • Gazioğlu C., Burak,S., Alpar, B., Türker, A. and Barut, IF. (2010) Foreseeable impacts of sea level rise on the southern coast of the Marmara Sea (Turkey), Water Policy Vol 12(6): 932-943.
  • Gazioğlu, C., Akkaya, M.A., Baltaoğlu, S. and Burrak, S.Z. (2016). ICZM and the Sea of Marmara: The İstanbul Case. The Sea of Marmara: Marine Biodivesity, Fisheries, Conservations and Governanace (Editors: Özsoy, E., Çağatay, M.N., Balkıs, N., Balkıs Çağlar, N., Öztürk, B.): 935-957.
  • Görmüş, K.S., Kutoğlu, Ş.H., Şeker, D.Z., Özölçer; İ.H. Oruç, M. and Aksoy, B. (2014).Temporal analysis of coastal erosion in Turkey: a case study Karasu coastal region, Journal of Coastal Conservation, Vol. 18(4): 399–414
  • Hervouet, J.M. (2007). Hydrodynamics of Free Surface Flows: Modelling with the Finite Element Method, Wiley and Sons. Ltd.
  • Holthuijsen, L.H.,N. Booij, and R.C. Ris (1993) A Spectral Wave Model for the Coastal Zone, Proc. 2nd Intl. Symp. Ocean Wave Measurement and Analysis, ASCE, NewOrleans, 630–641
  • Kannan R, Ramanamurthy MV and Kanungo A (2016): Shoreline Change Monitoring in Nellore Coast at East Coast Andhra Pradesh District Using Remote Sensing and GIS. . J Fisheries Livest Prod 4:161. doi:10.4172/2332-2608.1000161
  • Meherrar,K and Bachari,N. (2014). Modeling of radiative transfer of natural surfaces in the solar radiation spectrum: development of a satellite simulator (SDDS). International Journal of Remote Sensing Vol 35, No.4,1199-1216.
  • Moore LJ (2000): Shoreline mapping techniques. Journal of Coastal Research 16: 111-124.
  • Musaoglu, N., Şeker, D.Z.; Kabdaşlı, S.; Kaya, Ş. and Duran, Z. (2004) Using remote sensing and GIS for the assessment of visual attributes: a case study of the south coastal zone of Turkey, Fresenius Environmental Bulletin 13(9): 854–859
  • Patra SK, Shekher M, Solanki SS, Ramachandran R, Krishnan R (2006): A technique for generating natural colour images from false colour composite images. International Journal of Remote Sensing, 27: 2977–2989.
  • Simav Ö, Zafer Şeker D.Z. and Gazioğlu C (2013) Coastal inundation due to sea level rise and extreme sea state and its potential impacts: Çukurova Delta case. Turkish J Earth sci 22:671–680.
  • Şeker D.Z., Tanık, A., Citil, E., Öztürk, İ., Övez, S. and Levet, T.B. (2016). Importance and Vulnerability Analyses for Functional Zoning in a Coastal District of Turkey, International Journal of Environment and Geoinformatics (IJEGEO), Vol:3(3):77-93.
  • Şeker, D.Z., Kaya, Ş., Alkan, R.M., Tanık, A. and Saroglu, E. (2008). 3D coastal erosion analysis of Kilyos–Karaburun region using multi-temporal satellite image data, Fresenius Environmental Bulletin Vol. 17(11b): 1977-1982.
  • Thieler ER, Himmelstoss EA, Zichichi JL, Ayhan E (2009): “Digital Shoreline Analysis System (DSAS) version 4.0. An ArcGIS extension for calculating shoreline change”.
There are 22 citations in total.

Details

Journal Section Research Articles
Authors

Bachari Nour El Islam This is me

Houma Fouzia This is me

Amarouche Khalid This is me

Publication Date March 1, 2017
Published in Issue Year 2017 Volume: 4 Issue: 1

Cite

APA El Islam, B. N., Fouzia, H., & Khalid, A. (2017). Combination of Satellite Images and Numerical Model for the State Followed the Coast of the Bay of Bejaia-Jijel. International Journal of Environment and Geoinformatics, 4(1), 1-7. https://doi.org/10.30897/ijegeo.306486