Digital methodology to detect vulnerable areas to flooding in urban zones located in the mountains

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Authors

DOI:

https://doi.org/10.56845/rebs.v4i2.73

Keywords:

digital terrain model, flood map, geographic information system;, flood plain, river

Abstract

The risk of flooding in cities near riverbeds is a latent concern, especially during the rainy season. A specific case is that of Misantla, located in the State of Veracruz-Mexico, where floods have already caused social and economic damages. For flood prevention, this study proposes a digital methodology based on specialized ArcGIS, HEC-RAS and HEC-GeoRAS software, taking as a case study the urban areas located in mountainous areas of Misantla, Veracruz; likewise, hydrodynamic models supported by field studies and the use of geographic information systems (GIS) were used in order to know the vulnerable areas. The simulation shows the probable flood zones and the maximum depth levels that flows can reach in extraordinary rainfall events, which is an important element for risk assessment. By forecasting flooding areas, the spatial resolutions used also have a direct impact on mitigating damages caused by flooding. The study results in a risk map showing the sectors of the population most vulnerable to the problem of flooding and information for the design of protection works. In the city of Misantla, the case of this study, the simulated risk map shows that 57.3% of the surface area of the city of Misantla, particularly the downtown area, is at risk of flooding.

Author Biography

Mayerlin Sandoval-Herazo, Tecnológico Nacional de México/Instituto Tecnológico Superior de Misantla

PhD student

References

Amir, M. S. I. I., Khan, M. M. K., Rasul, M. G., Sharma, R. H., & Akram, F. (2018). Hydrologic and hydrodynamic modelling of extreme flood events to assess the impact of climate change in a large basin with limited data. Journal of Flood Risk Management, 11, S147-S157. https://doi.org/10.1111/jfr3.12189

Archer, D. R., & Fowler, H. J. (2018). Characterising flash flood response to intense rainfall and impacts using historical information and gauged data in Britain: Flash flood response to intense rainfall in Britain. Journal of Flood Risk Management, 11, S121–S133. https://doi.org/10.1111/jfr3.12187

Brody, S. D., Sebastian, A., Blessing, R., & Bedient, P. B. (2018). Case study results from southeast Houston, Texas: identifying the impacts of residential location on flood risk and loss: Residential location impact on flood risk and loss. Journal of Flood Risk Management, 11, S110–S120. https://doi.org/10.1111/jfr3.12184

Combes, J.-L., Kinda, T., Ouedraogo, R., & Plane, P. (2019). Financial flows and economic growth in developing countries. Economic Modelling, 83, 195–209. https://doi.org/10.1016/j.econmod.2019.02.010

Dyhouse, Gary, Benn JA, David Ford Consulting, Hatchett J, Rhee H (2003) Floodplain modeling using HEC-RAS, 1st edn. Haestad Press Waterbury.

Dottori, F., Martina, M. L. V., & Figueiredo, R. (2018). A methodology for flood susceptibility and vulnerability analysis in complex flood scenarios. Journal of Flood Risk Management, 11, S632-S645. https://doi.org/10.1111/jfr3.12234

Erdlenbruch, K., & Grelot, F. (2017). Economic assessment of flood prevention projects. En Floods (pp. 321–335). Elsevier.

Fitton, S. L., Moncaster, A., & Guthrie, P. (2016). Investigating the social value of theRipon rivers flood alleviation scheme: Ripon rivers flood alleviation scheme. Journal of Flood Risk Management, 9(4), 370–378. https://doi.org/10.1111/jfr3.12176

García, Y. C., Ramírez-Herrera, M. T., Delgado-Trejo, C., Legorreta-Paulin, G., & Corona, N. (2015). Modeling sea-level change, inundation scenarios, and their effect on the Colola Beach Reserve – a nesting-habitat of the black sea turtle, Michoacán, Mexico. Geofisica Internacional, 54(2), 179–190. https://doi.org/10.1016/j.gi.2015.04.013

Gillard, J. H., Barker, P. B., van Zijl, P. C., Bryan, R. N., & Oppenheimer, S. M. (1996). Proton MR spectroscopy in acute middle cerebral artery stroke. AJNR. American Journal of Neuroradiology, 17(5), 873–886.

Guo, K., Guan, M., & Yu, D. (2021). Urban surface water flood modelling – a comprehensive review of current models and future challenges. Hydrology and Earth System Sciences, 25(5), 2843–2860. https://doi.org/10.5194/hess-25-2843-2021

Grabs, W. (2016). Benchmarking flood risk reduction in the Elbe River: Benchmarking flood reduction. Journal of Flood Risk Management, 9(4), 335–342. https://doi.org/10.1111/jfr3.12217

Güçlü, Y. S., Şişman, E., & Yeleğen, M. Ö. (2018). Climate change and frequency-intensity-duration (FID) curves for Florya station, Istanbul: Climate change and FID curves. Journal of Flood Risk Management, 11, S403–S418. https://doi.org/10.1111/jfr3.12229

Huang, S., & Hattermann, F. F. (2018). Coupling a global hydrodynamic algorithm and a regional hydrological model for large-scale flood inundation simulations. Hydrology Research, 49(2), 438–449. https://doi.org/10.2166/nh.2017.061

Khan, D. M., Veerbeek, W., Chen, A. S., Hammond, M. J., Islam, F., Pervin, I., Djordjević, S., & Butler, D. (2018). Back to the future: assessing the damage of 2004 Dhaka flood in the 2050 urban environment: Assessing the damage of 2004 Dhaka flood. Journal of Flood Risk Management, 11, S43–S54. https://doi.org/10.1111/jfr3.12220

Kourgialas, N. N., & Karatzas, G. P. (2011). Flood management and a GIS modelling method to assess flood-hazard areas—a case study. Hydrological Sciences Journal–Journal des Sciences Hydrologiques, 56(2), 212-225. https://doi.org/10.1080/02626667.2011.555836

Kundzewicz, Z. W., Pińskwar, I., & Brakenridge, G. R. (2018). Changes in river flood hazard in Europe: a review. Hydrology Research, 49(2), 294–302. https://doi.org/10.2166/nh.2017.016

Lee, K.-H., Kim, S.-W., & Kim, S.-H. (2018). Simulating floods triggered by volcanic activities in the Cheon-ji caldera lake for hazards and risk analysis: Simulating floods triggered by volcanic activities in the Cheon-ji caldera lake. Journal of Flood Risk Management, 11, S479–S488. https://doi.org/10.1111/jfr3.12245

Luo, P., Apip, He, B., Duan, W., Takara, K., & Nover, D. (2018). Impact assessment of rainfall scenarios and land-use change on hydrologic response using synthetic Area IDF curves: Hydrological impact assessment of rainfall scenario. Journal of Flood Risk Management, 11, S84–S97. https://doi.org/10.1111/jfr3.12164

Macchione, F., Costabile, P., Costanzo, C., & De Santis, R. (2019). Moving to 3-D flood hazard maps for enhancing risk communication. Environmental Modelling & Software: With Environment Data News, 111, 510–522. https://doi.org/10.1016/j.envsoft.2018.11.005

Mark, O., Jørgensen, C., Hammond, M., Khan, D., Tjener, R., Erichsen, A., & Helwigh, B. (2018). A new methodology for modelling of health risk from urban flooding exemplified by cholera - case Dhaka, Bangladesh: A new model of health risk from urban flooding. Journal of Flood Risk Management, 11, S28–S42. https://doi.org/10.1111/jfr3.12182

Merwade, V., Cook, A., & Coonrod, J. (2008). GIS techniques for creating river terrain models for hydrodynamic modeling and flood inundation mapping. Environmental Modelling & Software: With Environment Data News, 23(10–11), 1300–1311. https://doi.org/10.1016/j.envsoft.2008.03.005

Morris, S. E., Cobby, D., Zaidman, M., & Fisher, K. (2018). Modelling and mapping groundwater flooding at the ground surface in Chalk catchments: Modelling and mapping groundwater flooding. Journal of Flood Risk Management, 11, S251–S268. https://doi.org/10.1111/jfr3.12201

Patrikaki, O., Kazakis, N., Kougias, I., Patsialis, T., Theodossiou, N., & Voudouris, K. (2018). Assessing flood hazard at river basin scale with an index-based approach: The case of mouriki, Greece. Geosciences, 8(2), 50. https://doi.org/10.3390/geosciences8020050

Romanescu, G., Hapciuc, O. E., Minea, I., & Iosub, M. (2018). Flood vulnerability assessment in the mountain-plateau transition zone: a case study of Marginea village (Romania): Flood vulnerability assessment in the mountain-plateau transition zone. Journal of Flood Risk Management, 11, S502–S513. https://doi.org/10.1111/jfr3.12249

Rodríguez-Hernández, Leonardo Daniel, Instituto de Investigaciones Forestales, Tesis Para Obtener El Grado De Maestro en Ciencias en Ecología Forestal, 2016. https://www.uv.mx/mcef/files/2018/06/tesis-resumen-leonardo-daniel.pdf

Rodríguez-Hernández, L. D., Valdés-Rodríguez, O. A., Ellis, E. A., & Armenta-Montero, S. (2020). Análisis de vulnerabilidad de la cuenca del río Misantla ante fenómenos hidrometeorológicos extremos. Revista Bio Ciencias, 7, 14.

Rufat, S., Tate, E., Burton, C. G., & Maroof, A. S. (2015). Social vulnerability to floods: Review of case studies and implications for measurement. International journal of disaster risk reduction: IJDRR, 14, 470–486. https://doi.org/10.1016/j.ijdrr.2015.09.013

Sandink, D. (2016). Urban flooding and ground-related homes in Canada: an overview: Urban flooding and ground-related homes in Canada. Journal of Flood Risk Management, 9(3), 208–223. https://doi.org/10.1111/jfr3.12168

Sandoval-Herazo, L., Alvarado-Lassman, A., Marín-Muñiz, J., Méndez-Contreras, J., & Zamora-Castro, S. A. (2018). Effects of the use of ornamental plants and different substrates in the removal of wastewater pollutants through microcosms of Constructed Wetlands. Sustainability, 10(5), 1594. https://doi.org/10.3390/su10051594

Shah, M. A. R., Rahman, A., & Chowdhury, S. H. (2018). Challenges for achieving sustainable flood risk management: Challenges for achieving sustainable flood risk management. Journal of Flood Risk Management, 11, S352–S358. https://doi.org/10.1111/jfr3.12211

Tehrany, M. S., Pradhan, B., & Jebur, M. N. (2013). Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. Journal of Hydrology, 504, 69–79. https://doi.org/10.1016/j.jhydrol.2013.09.034

Tejeda-Martínez, A. (2006). Inundaciones 2005 en el estado de Veracruz Ed. Universidad Veracruzana. https://www.uv.mx/eventos/inundaciones2005/

Wang, Y., Li, Z., Tang, Z., & Zeng, G. (2011). A GIS-based spatial multi-criteria approach for flood risk assessment in the Dongting lake region, Hunan, central China. Water Resources Management, 25(13), 3465–3484. https://doi.org/10.1007/s11269-011-9866-2

Xu, J., Wang, Z., Shen, F., Ouyang, C., & Tu, Y. (2016). Natural disasters and social conflict: A systematic literature review. International Journal of Disaster Risk Reduction: IJDRR, 17, 38–48. https://doi.org/10.1016/j.ijdrr.2016.04.001

Ye, X., Xu, C.-Y., Li, X., & Zhang, Q. (2018). Comprehensive evaluation of multiple methods for assessing water resources variability of a lake–river system under the changing environment. Hydrology Research, 49(2), 332–343. https://doi.org/10.2166/nh.2017.006

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Published

2022-11-28

How to Cite

Zamora-Castro, S. A., Nani-González, G. E., Sangabriel-Lomelí, J., Sandoval-Herazo, M., Rivera, S., & Sandoval-Herazo, L. C. (2022). Digital methodology to detect vulnerable areas to flooding in urban zones located in the mountains. Renewable Energy, Biomass & Sustainability, 4(2), 10–23. https://doi.org/10.56845/rebs.v4i2.73

Issue

Vol. 4 No. 2 (2022)

Section

Original Articles

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Copyright (c) 2022 Sergio Aurelio Zamora-Castro, Graciela Nani, Joaquín Sangabriel-Lomelí, Mayerlin Sandoval-Herazo, Saúl Rivera, Luis Carlos Sandoval-Herazo

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