- Alhasanat, H., 2014. Flash Flood Assessment for Wadi Mousa City-Jordan. Procedia Economics and Finance, 18, 675-683. https://www.sciencedirect.com/science/article/pii/S2212567114009903
- Batica, J. and Gourbesville, P., 2012. A resilience measures towards assessed urban flood management–CORFU project. In 9th International Conference on Urban Drainage Modelling, Belgrade.https://www.academia.edu/download/24854686/A_resilience_measures_towards_assessed_urban_flood_management_-_CORFU_project.pdf
- Booth, D.B., 1991. Urbanization and the natural drainage system--impacts, solutions, and prognoses. http://hdl.handle.net/1773/17032.
- Chukwuma, E.C., Okonkwo, C.C., Ojediran, J.O., Anizoba, D.C., Ubah, J.I. and Nwachukwu, C.P., 2021. A GIS based flood vulnerability modelling of Anambra State using an integrated IVFRN-DEMATEL-ANP model. Heliyon, 7(9), e08048https://doi.org/10.1016/j.heliyon.2021.e08048.
- Wannous, C. and Velasquez, G., 2017. United Nations Office for Disaster Risk Reduction (UNISDR)—UNISDR’s Contribution to Science and Technology for Disaster Risk Reduction and the Role of the International Consortium on Landslides (ICL). In: Sassa, K., Mikoš, M., Yin, Y. (eds) Advancing Culture of Living with Landslides. WLF 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-59469-9_6
- Douglas, I., Alam, K., Maghenda, M., Mcdonnell, Y., Mclean, L. and Campbell, J., 2008. Unjust waters: climate change, flood-ing and the urban poor in Africa.Environment and Urbanization: 20(1), 187-205.
https://doi.org/10.1177/0956247808089156
- Eini, M., Kaboli, H.S., Rashidian, M. and Hedayat, H., 2020. Hazard and vulnerability in urban flood risk mapping: Machine learning techniques and considering the role of urban districts. International Journal of Disaster Risk Reduction, 50, 101687.https://doi.org/10.1016/j.ijdrr.2020.101687
- Minea, G. and Zaharia, L., 2011. Structural and Non-Structural Measures for Flood Risk Mitigation in the Bâsca River Catchment (Romania. In Forum geografic (Vol. 10, No. 1). https://tarjomefa.com/wp-content/uploads/2017/02/6189-English-TarjomeFa.pdf
- Minea, G., 2013. Assessment of the flash flood potential of Basca river catchment (Romania) based on physiographic factors. Open Geosciences, 5(3), 344-353. https://doi.org/10.2478/s13533-012-0137-4
- Ke, Q., Tian, X., Bricker, J., Tian, Z., Guan, G., Cai, H. and Liu, J., 2020. Urban pluvial flooding prediction by machine learning approaches–a case study of Shenzhen city, China. Advances in Water Resources, 145, 103719. https://doi.org/10.1016/j.advwatres.2020.103719
- Sarmah, T., Das, S., Narendr, A. and Aithal, B.H., 2020. Assessing human vulnerability to urban flood hazard using the analytic hierarchy process and geographic information system. International Journal of Disaster Risk Reduction, 50, 101659. https://doi.org/10.1016/j.ijdrr.2020.101659
- Song, J., Chang, Z., Li, W., Feng, Z., Wu, J., Cao, Q. and Liu, J., 2019. Resilience-vulnerability balance to urban flooding: A case study in a densely populated coastal city in China. Cities, 95, 102381. https://doi.org/10.1016/j.cities.2019.06.012.