Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast)

Jacques André Tiemele; Mamadou Soumahoro; Jean-Baptiste Kassi

doi:doi:10.11648/j.ijaos.20220602.11

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Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast)

Jacques André Tiemele, Mamadou Soumahoro, Jean-Baptiste Kassi

Published in International Journal of Atmospheric and Oceanic Sciences (Volume 6, Issue 2)

Received: 4 July 2022 Accepted: 4 August 2022 Published: 5 August 2022

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Abstract

This study presents a high spatial resolution morphodynamic numerical simulation of the Grand-Bassam shoreline, located est of Abidjan. Indeed, for several years, this area has been confronted with receding coastlines causing significant material damage and flooding, which has made it possible to consider investigations in this area. However, these investigations have not always made it possible to accurately predict the morphological dynamics of the future shoreline of this area. This explains the use of MultiSpectral Instrument (MSI) 2A sentinel images from 2015 to 2020 (spatial resolution is 10m) to extract the shorelines. Digital processing was performed using the Digital Shoreline Analysis System (DSAS), compatible with ArcGis 10.5 software. The End Point Rate (EPR) and Linear Regression Rate (LRR) methods were used to calculate the statistical evolution of the Grand-Bassam shorelines between 2015 and 2020. To improve the forecast, including updating the rate and uncertainties, the Kalman filter approach is initialized with the linear regression rate calculated by DSAS. The treatments allowed to generate 9758 transects (4853 transects west of the mouth, 2550 east of the mouth and 2355 transects after Asséoufoué) for 2 m steps. During the period indicated, the Grand-Bassam shoreline has receded by -0.47 m /year. The west areas of the mouth and after Asséoufoué show negative balances with erosion rates of -0.97 m per and -0.22 m/year respectively. On the other hand, the eastern sector of the mouth presents a positive balance with a rate of 0.24 m/year. The simulations made on the evolution of the future dynamics of the coastline show a fattening of 21.49 m or 2.15 m/year in 2030 and a fattening of 30.4 m or 1.53 m/year in 2040.

Published in	International Journal of Atmospheric and Oceanic Sciences (Volume 6, Issue 2)
DOI	10.11648/j.ijaos.20220602.11
Page(s)	35-43
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Sentinel Image, Shoreline, DSAS, Kalman Filter, Forecast, Grand-Bassam

References

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[2]	Hauhouot, A. (2008). Nature, Culture, Tourism in Ivory Coast. Essay on the trilogy of a failed development bet, Educi: Abidjan, 179p.
[3]	Touré, B., Kouamé, K., F., Souleye, W., Collet, C., Affian, K., Ozer, A., Rudant, J-P., Biemi, J. (2012). “The influence of anthropic actions in the historical evolution of a sandy coast with strong sedimentary drift: the bay of Port-Bouët (Abidjan, Ivory Coast)”, Geomorphology (Paris), issn: 1266-5304, 2012, n°3, pp. 369-382, GeoProdig, geographic information portal, consulted on June 28, 2022, http://geoprodig.cnrs.fr/items/show/50471.
[4]	Konan, K., E. (2012). Morpho-dynamic study and sensitivity to "exceptional" events of the Ivorian sandy coastline east of Abidjan (Abidjan-Aforenou). Doctoral Thesis, University Félix HOUPHOUËT BOIGNY of Abidjan, 206 p.
[5]	Yao, K., S., Abe, J., Bamba, S., B., Konan, K., E., et Aka, K. (2010). Dynamics of a coastal port perimeter: the coast of San-Pedro, south-west of the Ivory Coast. Paralia Journal, Vol. 3, N°2, pp. 1-12. DOI: 10.5150/revue-paralia.2010.002.
[6]	Robinet, A. (2017). Modeling of the long-term evolution of the coastline along sandy coastlines dominated by wave action. Thesis University of Bordeaux, 146p. Available online at URL: https://hal-brgm.archives-ouvertes.fr/tel-01727831
[7]	Robinet, A., Idier, D., Castelle, B., Marieu, V. (2018). LX-Shore: A new model of coastline evolution for sandy coastlines dominated by wave action. National Coastal Engineering Days - Civil Engineering (JNGCGC 2018), May 2018, La Rochelle, France. ffhal-01763196, 9p.
[8]	Tastet, J., P. (1979). Quaternary sedimentary and structural environments of the Gulf of Guinea coast (Côte d'Ivoire-Togo-Benin). Doctor of Science thesis, University of Bordeaux-1, 181 p.
[9]	Himmelstoss, E., A., Henderson, R., E., Kratzmann, M., G., and Farris, A., S. (2018). Digital Shoreline Analysis System (DSAS) version 5.0 user guide: U.S. Geological Survey Open-File Report 2018–1179, 110 p., https://doi.org/10.3133/ofr20181179.
[10]	Long, J., W., and Plant, N., G. (2012). Extended Kalman Filter framework for forecasting shoreline evolution: Geophysical Research Letters, v. 39, no. 13, pp. 1–6.
[11]	Touré, M., Ané, N., J., N, Tiémélé, J. A. (2018). Study for the Coastline Evolution Using the Mobitc Tool: Case of the Grand-Bassam Coastline. European Scientific Journal, June 2018, edition Vol. 14, No. 18, pp 79-92.
[12]	Djagoua, E., M., V., Bakayoko, F., Kouadio, M., J., Kassi, A., J., B., Mobio, A., B., H., Kouamé, K., A., Tiemélé, J., A., Yavo, P. (2016). Mapping the Dynamics of the Coastline in Grand-Lahou: Use of the «Digital Shoreline Analysis System (Dsas)». European Scientific Journal 12, no. 36 doi: 10.19044/esj.2016.v12n36p327.
[13]	Kouekam, K., A., Fowe, P., G., Togue, K., F., Ngueguim, J., R., Tsague, J., S. (2019). Modeling of Coastline Dynamics on a Portion of the Cameroon West Coast From Batoke to Seme Beach by Landsat Imagery from 1979 to 2018. European Scientific Journal August 2019, edition Vol. 15, No. 24 ISSN: 1857 – 7881 (Print) e - ISSN 1857-7431.

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Jacques André Tiemele, Mamadou Soumahoro, Jean-Baptiste Kassi. (2022). Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast). International Journal of Atmospheric and Oceanic Sciences, 6(2), 35-43. https://doi.org/10.11648/j.ijaos.20220602.11

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ACS Style

Jacques André Tiemele; Mamadou Soumahoro; Jean-Baptiste Kassi. Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast). Int. J. Atmos. Oceanic Sci. 2022, 6(2), 35-43. doi: 10.11648/j.ijaos.20220602.11

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AMA Style

Jacques André Tiemele, Mamadou Soumahoro, Jean-Baptiste Kassi. Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast). Int J Atmos Oceanic Sci. 2022;6(2):35-43. doi: 10.11648/j.ijaos.20220602.11

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@article{10.11648/j.ijaos.20220602.11,
  author = {Jacques André Tiemele and Mamadou Soumahoro and Jean-Baptiste Kassi},
  title = {Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast)},
  journal = {International Journal of Atmospheric and Oceanic Sciences},
  volume = {6},
  number = {2},
  pages = {35-43},
  doi = {10.11648/j.ijaos.20220602.11},
  url = {https://doi.org/10.11648/j.ijaos.20220602.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaos.20220602.11},
  abstract = {This study presents a high spatial resolution morphodynamic numerical simulation of the Grand-Bassam shoreline, located est of Abidjan. Indeed, for several years, this area has been confronted with receding coastlines causing significant material damage and flooding, which has made it possible to consider investigations in this area. However, these investigations have not always made it possible to accurately predict the morphological dynamics of the future shoreline of this area. This explains the use of MultiSpectral Instrument (MSI) 2A sentinel images from 2015 to 2020 (spatial resolution is 10m) to extract the shorelines. Digital processing was performed using the Digital Shoreline Analysis System (DSAS), compatible with ArcGis 10.5 software. The End Point Rate (EPR) and Linear Regression Rate (LRR) methods were used to calculate the statistical evolution of the Grand-Bassam shorelines between 2015 and 2020. To improve the forecast, including updating the rate and uncertainties, the Kalman filter approach is initialized with the linear regression rate calculated by DSAS. The treatments allowed to generate 9758 transects (4853 transects west of the mouth, 2550 east of the mouth and 2355 transects after Asséoufoué) for 2 m steps. During the period indicated, the Grand-Bassam shoreline has receded by -0.47 m /year. The west areas of the mouth and after Asséoufoué show negative balances with erosion rates of -0.97 m per and -0.22 m/year respectively. On the other hand, the eastern sector of the mouth presents a positive balance with a rate of 0.24 m/year. The simulations made on the evolution of the future dynamics of the coastline show a fattening of 21.49 m or 2.15 m/year in 2030 and a fattening of 30.4 m or 1.53 m/year in 2040.},
 year = {2022}
}

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TY  - JOUR
T1  - Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast)
AU  - Jacques André Tiemele
AU  - Mamadou Soumahoro
AU  - Jean-Baptiste Kassi
Y1  - 2022/08/05
PY  - 2022
N1  - https://doi.org/10.11648/j.ijaos.20220602.11
DO  - 10.11648/j.ijaos.20220602.11
T2  - International Journal of Atmospheric and Oceanic Sciences
JF  - International Journal of Atmospheric and Oceanic Sciences
JO  - International Journal of Atmospheric and Oceanic Sciences
SP  - 35
EP  - 43
PB  - Science Publishing Group
SN  - 2640-1150
UR  - https://doi.org/10.11648/j.ijaos.20220602.11
AB  - This study presents a high spatial resolution morphodynamic numerical simulation of the Grand-Bassam shoreline, located est of Abidjan. Indeed, for several years, this area has been confronted with receding coastlines causing significant material damage and flooding, which has made it possible to consider investigations in this area. However, these investigations have not always made it possible to accurately predict the morphological dynamics of the future shoreline of this area. This explains the use of MultiSpectral Instrument (MSI) 2A sentinel images from 2015 to 2020 (spatial resolution is 10m) to extract the shorelines. Digital processing was performed using the Digital Shoreline Analysis System (DSAS), compatible with ArcGis 10.5 software. The End Point Rate (EPR) and Linear Regression Rate (LRR) methods were used to calculate the statistical evolution of the Grand-Bassam shorelines between 2015 and 2020. To improve the forecast, including updating the rate and uncertainties, the Kalman filter approach is initialized with the linear regression rate calculated by DSAS. The treatments allowed to generate 9758 transects (4853 transects west of the mouth, 2550 east of the mouth and 2355 transects after Asséoufoué) for 2 m steps. During the period indicated, the Grand-Bassam shoreline has receded by -0.47 m /year. The west areas of the mouth and after Asséoufoué show negative balances with erosion rates of -0.97 m per and -0.22 m/year respectively. On the other hand, the eastern sector of the mouth presents a positive balance with a rate of 0.24 m/year. The simulations made on the evolution of the future dynamics of the coastline show a fattening of 21.49 m or 2.15 m/year in 2030 and a fattening of 30.4 m or 1.53 m/year in 2040.
VL  - 6
IS  - 2
ER  -

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Author Information

Jacques André Tiemele

University Center for Research and Application in Remote Sensing, Felix HOUPHOUET-BOIGNY University, Abidjan, Ivory Coast
Mamadou Soumahoro

University Center for Research and Application in Remote Sensing, Felix HOUPHOUET-BOIGNY University, Abidjan, Ivory Coast
Jean-Baptiste Kassi

University Center for Research and Application in Remote Sensing, Felix HOUPHOUET-BOIGNY University, Abidjan, Ivory Coast

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APA Style

Jacques André Tiemele, Mamadou Soumahoro, Jean-Baptiste Kassi. (2022). Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast). International Journal of Atmospheric and Oceanic Sciences, 6(2), 35-43. https://doi.org/10.11648/j.ijaos.20220602.11

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ACS Style

Jacques André Tiemele; Mamadou Soumahoro; Jean-Baptiste Kassi. Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast). Int. J. Atmos. Oceanic Sci. 2022, 6(2), 35-43. doi: 10.11648/j.ijaos.20220602.11

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AMA Style

Jacques André Tiemele, Mamadou Soumahoro, Jean-Baptiste Kassi. Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast). Int J Atmos Oceanic Sci. 2022;6(2):35-43. doi: 10.11648/j.ijaos.20220602.11

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@article{10.11648/j.ijaos.20220602.11,
  author = {Jacques André Tiemele and Mamadou Soumahoro and Jean-Baptiste Kassi},
  title = {Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast)},
  journal = {International Journal of Atmospheric and Oceanic Sciences},
  volume = {6},
  number = {2},
  pages = {35-43},
  doi = {10.11648/j.ijaos.20220602.11},
  url = {https://doi.org/10.11648/j.ijaos.20220602.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaos.20220602.11},
  abstract = {This study presents a high spatial resolution morphodynamic numerical simulation of the Grand-Bassam shoreline, located est of Abidjan. Indeed, for several years, this area has been confronted with receding coastlines causing significant material damage and flooding, which has made it possible to consider investigations in this area. However, these investigations have not always made it possible to accurately predict the morphological dynamics of the future shoreline of this area. This explains the use of MultiSpectral Instrument (MSI) 2A sentinel images from 2015 to 2020 (spatial resolution is 10m) to extract the shorelines. Digital processing was performed using the Digital Shoreline Analysis System (DSAS), compatible with ArcGis 10.5 software. The End Point Rate (EPR) and Linear Regression Rate (LRR) methods were used to calculate the statistical evolution of the Grand-Bassam shorelines between 2015 and 2020. To improve the forecast, including updating the rate and uncertainties, the Kalman filter approach is initialized with the linear regression rate calculated by DSAS. The treatments allowed to generate 9758 transects (4853 transects west of the mouth, 2550 east of the mouth and 2355 transects after Asséoufoué) for 2 m steps. During the period indicated, the Grand-Bassam shoreline has receded by -0.47 m /year. The west areas of the mouth and after Asséoufoué show negative balances with erosion rates of -0.97 m per and -0.22 m/year respectively. On the other hand, the eastern sector of the mouth presents a positive balance with a rate of 0.24 m/year. The simulations made on the evolution of the future dynamics of the coastline show a fattening of 21.49 m or 2.15 m/year in 2030 and a fattening of 30.4 m or 1.53 m/year in 2040.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Morphological Forecast of the Grand-Bassam Shoreline by the Kalman Filter Model (Ivory Coast)
AU  - Jacques André Tiemele
AU  - Mamadou Soumahoro
AU  - Jean-Baptiste Kassi
Y1  - 2022/08/05
PY  - 2022
N1  - https://doi.org/10.11648/j.ijaos.20220602.11
DO  - 10.11648/j.ijaos.20220602.11
T2  - International Journal of Atmospheric and Oceanic Sciences
JF  - International Journal of Atmospheric and Oceanic Sciences
JO  - International Journal of Atmospheric and Oceanic Sciences
SP  - 35
EP  - 43
PB  - Science Publishing Group
SN  - 2640-1150
UR  - https://doi.org/10.11648/j.ijaos.20220602.11
AB  - This study presents a high spatial resolution morphodynamic numerical simulation of the Grand-Bassam shoreline, located est of Abidjan. Indeed, for several years, this area has been confronted with receding coastlines causing significant material damage and flooding, which has made it possible to consider investigations in this area. However, these investigations have not always made it possible to accurately predict the morphological dynamics of the future shoreline of this area. This explains the use of MultiSpectral Instrument (MSI) 2A sentinel images from 2015 to 2020 (spatial resolution is 10m) to extract the shorelines. Digital processing was performed using the Digital Shoreline Analysis System (DSAS), compatible with ArcGis 10.5 software. The End Point Rate (EPR) and Linear Regression Rate (LRR) methods were used to calculate the statistical evolution of the Grand-Bassam shorelines between 2015 and 2020. To improve the forecast, including updating the rate and uncertainties, the Kalman filter approach is initialized with the linear regression rate calculated by DSAS. The treatments allowed to generate 9758 transects (4853 transects west of the mouth, 2550 east of the mouth and 2355 transects after Asséoufoué) for 2 m steps. During the period indicated, the Grand-Bassam shoreline has receded by -0.47 m /year. The west areas of the mouth and after Asséoufoué show negative balances with erosion rates of -0.97 m per and -0.22 m/year respectively. On the other hand, the eastern sector of the mouth presents a positive balance with a rate of 0.24 m/year. The simulations made on the evolution of the future dynamics of the coastline show a fattening of 21.49 m or 2.15 m/year in 2030 and a fattening of 30.4 m or 1.53 m/year in 2040.
VL  - 6
IS  - 2
ER  -

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