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Fractional-order model of the post-disaster period: study on the earthquakes in Türkiye

Year 2025, Volume: 5 Issue: 1, 117 - 142, 31.03.2025
https://doi.org/10.53391/mmnsa.1503311

Abstract

In this study, the mathematical model that examined the relationships between the variables of the population that continued to live in the disaster area, the population that migrated to another region, the number of newly built independent sections in the disaster area the post-disaster, and the socio-economic development index (SEDI) of the disaster area is expressed through fractional-order differential equations (FODEs) and qualitative analysis of the model is carried out. Furthermore, the relationship between migrated and non-migrated populations is presented in the model with four different functional responses. In real-world applications of the model, some earthquakes in Türkiye, which are similar to each other in many ways, are taken into account. Therefore, data after the Gölcük earthquake in 1999 are used, and parameters, derivative order, and functional response are determined by considering the minimum root mean squared error (RMSE). Then, the performance of the proposed model with these values is shown in the Elbistan earthquake in 2023. Finally, the 5-year and 10-year estimates of the non-migratory population, the migrated population, the number of newly built independent sections, and the SEDI index values are presented for Elbistan.

Project Number

TUBITAK 123F220

Thanks

This study was supported by the Scientific and Technological Research Council of Türkiye (TUBITAK) under the Grant Number 123F220. The authors thank to TUBITAK for their support.

References

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  • [2] Asian Disaster Reduction Center. Natural disaster data book 2022 (an analytical overview). (2022). https://www.adrc.asia/publications/databook/ORG/databook_2022/ pdf/DataBook2022.pdf
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  • [6] Tuncer, G. Türkiye’de sosyo-ekonomik gelişmişliğin mekânsal eşitsizliği. Journal of Economics Public Finance Business, 2(2), 69-80, (2019).
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  • [10] Avci, D., Ozdemir, N. and Yavuz, M. Fractional optimal control of diffusive transport acting on a spherical region. In Methods of Mathematical Modelling (pp. 63-82). Boca Raton, USA: CRC Press, (2019).
  • [11] Paul, S., Mahata, A., Mukherjee, S., Mali, P. and Roy, B. Fractional order SEIQRD epidemic model of COVID-19: A case study of Italy. PLoS One, 18(3), e0278880, (2023).
  • [12] Husnain, S. and Abdulkader, R. Fractional order modeling and control of an articulated robotic arm. Engineering, Technology & Applied Science Research, 13(6), 12026-12032, (2023).
  • [13] Joshi, H. and Yavuz, M. Transition dynamics between a novel coinfection model of fractional order for COVID-19 and tuberculosis via a treatment mechanism. The European Physical Journal Plus, 138(5), 468, (2023).
  • [14] Ersoy, B., Da¸sba¸sı, B. and Aslan, E. Mathematical modelling of fiber optic cable with an electrooptical cladding by incommensurate fractional-order differential equations. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 14(1), 50-61, (2024).
  • [15] Kumar, D., Nama, H. and Baleanu, D. Dynamical and computational analysis of fractional order mathematical model for oscillatory chemical reaction in closed vessels. Chaos, Solitons & Fractal, 180, 114560, (2024).
  • [16] Moya, E.M.D., Rodriguez, R.A., Pietrus, A. and Bernard, S. A study of fractional optimal control of overweight and obesity in a community and its impact on the diagnosis of diabetes. Mathematical Modelling and Numerical Simulation with Applications, 4(4), 514-543, (2024).
  • [17] Iwa, L.L., Omame, A. and Inyama, S.C. A fractional-order model of COVID-19 and Malaria co-infection. Bulletin of Biomathematics, 2(2), 133-161, (2024).
  • [18] Adu, I.K., Wireko, F.A., Adarkwa, S.A. and Agyekum, G. O. Mathematical analysis of Ebola considering transmission at treatment centres and survivor relapse using fractal-fractional Caputo derivatives in Uganda. Mathematical Modelling and Numerical Simulation with Applications, 4(3), 296-334, (2024).
  • [19] Daşbaşı, B. Fractional order bacterial infection model with effects of anti-virulence drug and antibiotic. Chaos, Solitons & Fractals, 170, 113331, (2023).
  • [20] Helbing, D., Farkas, I. and Vicsek, T. Simulating dynamical features of escape panic. Nature, 407, 487-490, (2000).
  • [21] Provitolo, D. A new classification of catastrophes based on “Complexity Criteria”. In From System Complexity to Emergent Properties (pp. 179-194). Berlin, Heidelberg: Springer, (2009).
  • [22] Yang, J., Yokoo, M., Ito, T., Jin, Z. and Scerri, P. Principles of Practice in Multi-Agent Systems. Springer: Berlin, (2009).
  • [23] Kumar, S., Singh, R., Singh, B.K. and Garg, R. Mathematical model for estimating flood disaster effect on a population by using differential equation. International Journal of Computational Modeling and Physical Sciences, 1(2), 14-18, (2021).
  • [24] Verdière, N., Cantin, G., Provitolo, D., Lanza, V., Dubos-Paillard, E., Charrier, R. et al. Understanding and simulation of human behaviors in areas affected by disasters: From the observation to the conception of a mathematical model. Global Journal of Human Social Science: H Interdisciplinary, 15(10-H), (2015).
  • [25] Hassell, M.P. The Dynamics of Arthropod Predator-Prey Systems. Princeton University Press: New Jersey, (1978).
  • [26] Xu, H. and Zou, S. A diffusive Monod-Haldane predator-prey system with Smith growth and a protection zone. Nonlinear Analysis: Real World Applications, 76, 104018, (2024).
  • [27] Allen, L.J.S. An Introduction to Mathematical Biology. Pearson Prentice Hall: Italy, (2007).
  • [28] Holling, C.S. Some characteristics of simple types of predation and parasitism. The Canadian Entomologist, 91(7), 385-398, (1959).
  • [29] Kooij, R.E. and Zegeling, A. A predator-prey model with Ivlev’s functional response. Journal of Mathematical Analysis and Applications, 198(2), 473-489, (1996).
  • [30] Uddin, M.J., Santra, P.K., Rana, S.M.S. and Mahapatra, G. Chaotic dynamics of the fractional order predator-prey model incorporating Gompertz growth on prey with Ivlev functional response. Chaos Theory and Applications, 6(3), 192-204, (2024).
  • [31] Caputo, M. and Fabrizio, M. A new definition of fractional derivative without singular kernel. Progress in Fractional Differentiation & Applications, 1(2), 73-85, (2015).
  • [32] Odibat, Z.M. and Shawagfeh, N.T. Generalized Taylor’s formula. Applied Mathematics and Computation, 186(1), 286-293, (2007).
  • [33] Matignon, D. Stability results for fractional differential equations with applications to control processing. In Proceedings, Computational Engineering in Systems Applications, pp. 963-968, Paris, France, (1996, July).
  • [34] Rostamy, D. and Mottaghi, E. Stability analysis of a fractional-order epidemics model with multiple equilibriums. Advances in Difference Equations, 2016, 170, (2016).
  • [35] Da¸sba¸sı, B. The Fractional-Order mathematical modeling of bacterial resistance against multiple antibiotics in case of local bacterial infection. Sakarya University Journal of Science, 21(3), 442-453, (2017).
  • [36] Wang, X. A simple proof of Descartes’s rule of signs. The American Mathematical Monthly, 111(6), 525-526, (2004).
  • [37] Li, Y., Chen, Y. and Podlubny, I. Stability of fractional-order nonlinear dynamic systems: Lyapunov direct method and generalized Mittag-Leffler stability. Computers & Mathematics with Applications, 59(5), 1810-1821, (2010).
  • [38] Li, H.L., Zhang, L., Hu, C., Jiang, Y.L. and Teng, Z. Dynamical analysis of a fractional-order predator-prey model incorporating a prey refuge. Journal of Applied Mathematics and Computing, 54, 435-449, (2017).
  • [39] Peker, A.E. and ¸Sanlı, I. Deprem ve göç ili¸skisi: 24 Ocak 2020 Elazı˘g deprem örneği. Firat University International Journal of Economics and Administrative Sciences, 6(1), 125-154, (2022).
  • [40] Box, G.E. and Jenkins, G.M. Time series analysis, control, and forecasting. San Francisco, CA: Holden Day, 3226(3228), 10, (1976).
  • [41] Arslan, R.S., Barışçı, N., Arici, N. and Kocer, S. Detecting and correcting automatic speech recognition errors with a new model. Turkish Journal of Electrical Engineering and Computer Sciences, 29(5), 2298-2311, (2021).
  • [42] Republic of Türkiye Ministry of Industry and Trade, Socio-Economic Development Ranking Research Reports, (2024). https://www.sanayi.gov.tr/merkez-birimi/b94224510b7b/ sege/ilce-sege-raporlari
  • [43] Turkish Statistical Institute, 2000 General Population Census, (2000). https://biruni.tuik. gov.tr/nufusapp/idari.zul
  • [44] Sudaş. I. 17 Ağustos 1999 Marmara depreminin nüfus ve yerleşme üzerindeki etkileri: Gölcük (Kocaeli) örneği. Aegean Geographical Journal, 13, 73-91, (2004).
  • [45] Wikipedia, Kocaeli/ (province), (2023). https://fr.wikipedia.org/wiki/Kocaeli_ (province)
  • [46] Turkish Statistical Institute, Address-Based Population Registration System Results, (2024). https://biruni.tuik.gov.tr/medas/?locale=tr
  • [47] Presidency of the Republic of Turkey, Strategy and Budget Directorate, 2023 Kahramanmaraş and Hatay Earthquakes Report, (2023). https://www.sbb.gov.tr/wp-content/uploads/2023/03/2023-Kahramanmaras-ve-Hatay-Depremleri-Raporu.pdf
Year 2025, Volume: 5 Issue: 1, 117 - 142, 31.03.2025
https://doi.org/10.53391/mmnsa.1503311

Abstract

Project Number

TUBITAK 123F220

References

  • [1] Chaudhary, M.T. and Piracha, A. Natural disasters-origins, impacts, management. Encyclopedia, 1(4), 1101-1131, (2021).
  • [2] Asian Disaster Reduction Center. Natural disaster data book 2022 (an analytical overview). (2022). https://www.adrc.asia/publications/databook/ORG/databook_2022/ pdf/DataBook2022.pdf
  • [3] AFAD, Afet Türleri, (2023). https://www.afad.gov.tr/afet-turleri
  • [4] Verdière, N., Lanza, V., Charrier, R., Provitolo, D., Dubos-Paillard, E., Bertelle, C. and Alaoui, A. Mathematical modeling of human behaviors during catastrophic events. In Proceedings, 4th International Conference on Complex Systems and Applications (ICCSA), pp. 67-74, Le Havre, France, (2014, June).
  • [5] Paul, B.K. Evidence against disaster-induced migration: the 2004 tornado in north-central Bangladesh. Disasters, 29(4), 370-385, (2005).
  • [6] Tuncer, G. Türkiye’de sosyo-ekonomik gelişmişliğin mekânsal eşitsizliği. Journal of Economics Public Finance Business, 2(2), 69-80, (2019).
  • [7] Boğaziçi University, Kandilli Observatory and Earthquake Research Institute, Regional Earthquake-Tsunami Monitoring and Evaluation Center, (2024). http://udim.koeri.boun. edu.tr/zeqmap/hgmmap.asp
  • [8] Ozaslan, M., Dincer, B. and Ozgur, H. Regional disparities and territorial indicators in Turkey: Socio-economic development index (SEDI). In Proceedings, 46th Congress of the European Regional Science Association: "Enlargement, Southern Europe and the Mediterranean" (ERSA), pp. 1-34, Volos, Greece, (2006, August).
  • [9] Du, M., Wang, Z. and Hu, H. Measuring memory with the order of fractional derivative. Scientific Report, 3, 3431, (2013).
  • [10] Avci, D., Ozdemir, N. and Yavuz, M. Fractional optimal control of diffusive transport acting on a spherical region. In Methods of Mathematical Modelling (pp. 63-82). Boca Raton, USA: CRC Press, (2019).
  • [11] Paul, S., Mahata, A., Mukherjee, S., Mali, P. and Roy, B. Fractional order SEIQRD epidemic model of COVID-19: A case study of Italy. PLoS One, 18(3), e0278880, (2023).
  • [12] Husnain, S. and Abdulkader, R. Fractional order modeling and control of an articulated robotic arm. Engineering, Technology & Applied Science Research, 13(6), 12026-12032, (2023).
  • [13] Joshi, H. and Yavuz, M. Transition dynamics between a novel coinfection model of fractional order for COVID-19 and tuberculosis via a treatment mechanism. The European Physical Journal Plus, 138(5), 468, (2023).
  • [14] Ersoy, B., Da¸sba¸sı, B. and Aslan, E. Mathematical modelling of fiber optic cable with an electrooptical cladding by incommensurate fractional-order differential equations. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 14(1), 50-61, (2024).
  • [15] Kumar, D., Nama, H. and Baleanu, D. Dynamical and computational analysis of fractional order mathematical model for oscillatory chemical reaction in closed vessels. Chaos, Solitons & Fractal, 180, 114560, (2024).
  • [16] Moya, E.M.D., Rodriguez, R.A., Pietrus, A. and Bernard, S. A study of fractional optimal control of overweight and obesity in a community and its impact on the diagnosis of diabetes. Mathematical Modelling and Numerical Simulation with Applications, 4(4), 514-543, (2024).
  • [17] Iwa, L.L., Omame, A. and Inyama, S.C. A fractional-order model of COVID-19 and Malaria co-infection. Bulletin of Biomathematics, 2(2), 133-161, (2024).
  • [18] Adu, I.K., Wireko, F.A., Adarkwa, S.A. and Agyekum, G. O. Mathematical analysis of Ebola considering transmission at treatment centres and survivor relapse using fractal-fractional Caputo derivatives in Uganda. Mathematical Modelling and Numerical Simulation with Applications, 4(3), 296-334, (2024).
  • [19] Daşbaşı, B. Fractional order bacterial infection model with effects of anti-virulence drug and antibiotic. Chaos, Solitons & Fractals, 170, 113331, (2023).
  • [20] Helbing, D., Farkas, I. and Vicsek, T. Simulating dynamical features of escape panic. Nature, 407, 487-490, (2000).
  • [21] Provitolo, D. A new classification of catastrophes based on “Complexity Criteria”. In From System Complexity to Emergent Properties (pp. 179-194). Berlin, Heidelberg: Springer, (2009).
  • [22] Yang, J., Yokoo, M., Ito, T., Jin, Z. and Scerri, P. Principles of Practice in Multi-Agent Systems. Springer: Berlin, (2009).
  • [23] Kumar, S., Singh, R., Singh, B.K. and Garg, R. Mathematical model for estimating flood disaster effect on a population by using differential equation. International Journal of Computational Modeling and Physical Sciences, 1(2), 14-18, (2021).
  • [24] Verdière, N., Cantin, G., Provitolo, D., Lanza, V., Dubos-Paillard, E., Charrier, R. et al. Understanding and simulation of human behaviors in areas affected by disasters: From the observation to the conception of a mathematical model. Global Journal of Human Social Science: H Interdisciplinary, 15(10-H), (2015).
  • [25] Hassell, M.P. The Dynamics of Arthropod Predator-Prey Systems. Princeton University Press: New Jersey, (1978).
  • [26] Xu, H. and Zou, S. A diffusive Monod-Haldane predator-prey system with Smith growth and a protection zone. Nonlinear Analysis: Real World Applications, 76, 104018, (2024).
  • [27] Allen, L.J.S. An Introduction to Mathematical Biology. Pearson Prentice Hall: Italy, (2007).
  • [28] Holling, C.S. Some characteristics of simple types of predation and parasitism. The Canadian Entomologist, 91(7), 385-398, (1959).
  • [29] Kooij, R.E. and Zegeling, A. A predator-prey model with Ivlev’s functional response. Journal of Mathematical Analysis and Applications, 198(2), 473-489, (1996).
  • [30] Uddin, M.J., Santra, P.K., Rana, S.M.S. and Mahapatra, G. Chaotic dynamics of the fractional order predator-prey model incorporating Gompertz growth on prey with Ivlev functional response. Chaos Theory and Applications, 6(3), 192-204, (2024).
  • [31] Caputo, M. and Fabrizio, M. A new definition of fractional derivative without singular kernel. Progress in Fractional Differentiation & Applications, 1(2), 73-85, (2015).
  • [32] Odibat, Z.M. and Shawagfeh, N.T. Generalized Taylor’s formula. Applied Mathematics and Computation, 186(1), 286-293, (2007).
  • [33] Matignon, D. Stability results for fractional differential equations with applications to control processing. In Proceedings, Computational Engineering in Systems Applications, pp. 963-968, Paris, France, (1996, July).
  • [34] Rostamy, D. and Mottaghi, E. Stability analysis of a fractional-order epidemics model with multiple equilibriums. Advances in Difference Equations, 2016, 170, (2016).
  • [35] Da¸sba¸sı, B. The Fractional-Order mathematical modeling of bacterial resistance against multiple antibiotics in case of local bacterial infection. Sakarya University Journal of Science, 21(3), 442-453, (2017).
  • [36] Wang, X. A simple proof of Descartes’s rule of signs. The American Mathematical Monthly, 111(6), 525-526, (2004).
  • [37] Li, Y., Chen, Y. and Podlubny, I. Stability of fractional-order nonlinear dynamic systems: Lyapunov direct method and generalized Mittag-Leffler stability. Computers & Mathematics with Applications, 59(5), 1810-1821, (2010).
  • [38] Li, H.L., Zhang, L., Hu, C., Jiang, Y.L. and Teng, Z. Dynamical analysis of a fractional-order predator-prey model incorporating a prey refuge. Journal of Applied Mathematics and Computing, 54, 435-449, (2017).
  • [39] Peker, A.E. and ¸Sanlı, I. Deprem ve göç ili¸skisi: 24 Ocak 2020 Elazı˘g deprem örneği. Firat University International Journal of Economics and Administrative Sciences, 6(1), 125-154, (2022).
  • [40] Box, G.E. and Jenkins, G.M. Time series analysis, control, and forecasting. San Francisco, CA: Holden Day, 3226(3228), 10, (1976).
  • [41] Arslan, R.S., Barışçı, N., Arici, N. and Kocer, S. Detecting and correcting automatic speech recognition errors with a new model. Turkish Journal of Electrical Engineering and Computer Sciences, 29(5), 2298-2311, (2021).
  • [42] Republic of Türkiye Ministry of Industry and Trade, Socio-Economic Development Ranking Research Reports, (2024). https://www.sanayi.gov.tr/merkez-birimi/b94224510b7b/ sege/ilce-sege-raporlari
  • [43] Turkish Statistical Institute, 2000 General Population Census, (2000). https://biruni.tuik. gov.tr/nufusapp/idari.zul
  • [44] Sudaş. I. 17 Ağustos 1999 Marmara depreminin nüfus ve yerleşme üzerindeki etkileri: Gölcük (Kocaeli) örneği. Aegean Geographical Journal, 13, 73-91, (2004).
  • [45] Wikipedia, Kocaeli/ (province), (2023). https://fr.wikipedia.org/wiki/Kocaeli_ (province)
  • [46] Turkish Statistical Institute, Address-Based Population Registration System Results, (2024). https://biruni.tuik.gov.tr/medas/?locale=tr
  • [47] Presidency of the Republic of Turkey, Strategy and Budget Directorate, 2023 Kahramanmaraş and Hatay Earthquakes Report, (2023). https://www.sbb.gov.tr/wp-content/uploads/2023/03/2023-Kahramanmaras-ve-Hatay-Depremleri-Raporu.pdf
There are 47 citations in total.

Details

Primary Language English
Subjects Mathematical Optimisation, Applied Mathematics (Other)
Journal Section Research Articles
Authors

Teslima Daşbaşı 0000-0002-8546-612X

Bahatdin Daşbaşı 0000-0001-8201-7495

Project Number TUBITAK 123F220
Publication Date March 31, 2025
Submission Date June 24, 2024
Acceptance Date March 12, 2025
Published in Issue Year 2025 Volume: 5 Issue: 1

Cite

APA Daşbaşı, T., & Daşbaşı, B. (2025). Fractional-order model of the post-disaster period: study on the earthquakes in Türkiye. Mathematical Modelling and Numerical Simulation With Applications, 5(1), 117-142. https://doi.org/10.53391/mmnsa.1503311


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