Abedini, M. & Beheshti Javid, A. (2015). Flood risk zoning of Liqvanchai watershed using process network analysis model and geographic information system,Geographical Space, 16(55): 293-312.
Abedini, M., Pirizi, A., Aghaari, L. & Ostadi, A. (2016).Flood risk zoning in Meshkinshahr city using Vicor model, Geographical Land, 14(56): 21-34.
Abedini,M., Active Naziri, M. &Pirouzi, E. (2021). Estimating flood speed and time using unit hydrograph, based on time survey lines) case study: Khiauchai Basin, Abkhaki Sciences and Techniques, 4 (2): pp. 62-83.
Abaya, S.W. )2018(. Floods and Health in Gambella Region, Ethiopia: An Assessment of the Strength and Weakness of the Coping Mechanism. Lund University Centre for Sustainability Studies, pp. 1–44.
Abaya, S.W., Mandere, N. & Ewald, G. )2009(. Floods and health in Gambella region, Ethiopia:a qualitative assessment of the strengths and weaknesses of coping mechanisms. Glob. Health Action 2 (1), 1–10.
Ahmed, S., Ghumman, A.R., Ahmad, I., Ahsan, M., Ahmad, S., Ghumman, A.R., Ahmad, I., Khan, K.A. & Ahsan, M. )2016.( Data Driven Modelling for Real-time Flood Forecasting. December, pp. 1–8.
Bharath. A., Anand, V. & Shivapur Hiremath, C. G. (2021). Dam break analysis using HEC-RAS and HEC-GeoRAS: A case study of Hidkal dam, Karnataka state, India, Environmental Challenges, Vol 5, 100401.
Chan, V.K.H. & Chan, C.W. (2020). Towards explicit representation of an artificial neural network model: comparison of two artificial neural network rule extraction approaches. Petroleum 6 (4), 329–339.
Cirella, G. & Iyalomhe, F. (2018). Flooding conceptual review: sustainability-focalized best practices in Nigeria. Appl. Sci. 8 (9), 1558.
Damadi, S., Dehwari, A., Dehmardeh, Q. & Ebrahimian, M. )1400.( Floodzoning using HEC-RAS hydraulic model in Sarbaz river in Sistan and Baluchistan province,Watershed Engineering and Management Quarterly, Volume 13, Number 3, pp. 590-601.
De Risi, R., Jalayer, F., De Paola, F. & Carozza, S.(2020).From flood risk mapping toward reducing vulnerability: the case of Addis Ababa. Nat. Hazards 100 (1), 387–415.
Demb´ el´e, M. & Zwart, S.J. (2016).Evaluation and comparison of satellite-based rainfall products in Burkina Faso, West Africa. Int. J. Remote Sens. 37 (17), 3995–4014.
Desalegn, H.& Mulu, A.(2021).Heliyon Flood vulnerability assessment using GIS at Fetam watershed, upper Abbay basin, Ethiopia. Heliyon 6 (December 2020), e05865.
Desalegn, A., Demissie, S. & Admassu, S.(2016). Extreme weather and flood forecasting and modelling for Eastern Tana Sub Basin, Upper Blue Nile Basin, Ethiopia. J. Waste Water Treat. Anal. 7 (3), 127–136.
Devi, G.K., Ganasri, B.P. & Dwarakish, G.S.(2015).A review on hydrological models. Aquat. Procedia 4 (Icwrcoe), 1001–1007.
Ebrahimi, A., Burqai Dinan, N. & Keshtkar, M. (2019).Evaluation of the effect of road infrastructure on the flood rate of Maderso watershed in Golestan province. Scientific Journal of Environment and Development, 11(22), 83-92.
Escobar-ruiz, V., Macdonald,N.Smith, H.G. & Blake, W.H.(2019).Assessing the Performance of a Physically Based Hydrological Model Using a Proxy-catchment Approach in an Agricultural Environment. July, pp. 3119–3137.
Farf´ an, J.F., Palacios, K., Ulloa, J. & Avil´ es, A.(2020). Journal of Hydrology: regional Studies A hybrid neural network-based technique to improve the flow forecasting of physical and data-driven models : methodology and case studies in Andean watersheds. J. Hydrol. Reg. Stud. 27 (December 2019), 100652.
Gashaw, W. &Legesse, D. (2011).Flood Hazard and Risk Assessment Using GIS and Remote Sensing in Fogera Woreda, Northwest Ethiopia.
Idai, C. (2020). Flood Risk Management in Africa, pp. 1–5.
Kannapiran, U., Maheswari, A.S. & Bhaskar, Y. (2024). Flood inundation mapping of upstream region in the Adyar River basin: Integrating hydrologic engineering centre's river analysis system (HEC-RAS) approach with groundwater considerations,Groundwater for Sustainable Development, Vol 24, 101085.
Lateef, A. Dar.(2017).Identification of the input vector for R-R modelling of river Jhelum catchment. Int. J. Eng. Res. V6 (04), 27–31.
Masheshai, S., Panahi, R. & Masheshai, M. )1401(. Dynamic analysis of flood risk using HEC-RAS hydraulic model (case study:Shahinshahr river,Isfahan province),Journal of Geography and Environmental Hazards,Volume 11, Number 1, pp.77-97.
Mengistu, D.T., Moges, S.A. & Sorteberg, A.(2016). Revisiting systems type black-box rainfall-runoff models for flow forecasting application. J. Water Resource Prot.(January), 65–83.
Moges, S.A. (2007).Flood Forecasting and Early Warning System (FFEWS).An Alternative Technology for Flood Management System and Damage Reduction in Ethiopia: a Concept Note, pp. 36–41.
Pham, B.T., Luu, C., Van Phong, T., Nguyen, H.D., Van Le, H., Tran, T.Q., Ta, H.T. & Prakash, I.( 2020). Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam. J. Hydrol., 125815
Panahi, R. & Hosseinzadeh, M. )2019). Zoning and geomorphological analysis of Dinur river flood (Kermanshah province) using HEC-RAS hydraulic model, Journal of Geography and Environmental Hazards, Volume 9, Number 4, pp. 45-64.
Shrestha, B.B. & Kawasaki, A.(2020). International Journal of Disaster Risk Reduction Quantitative assessment of flood risk with evaluation of the effectiveness of dam operation for flood control: a case of the Bago River Basin of Myanmar. Int. J. Disaster Risk Reduct. 50, 101707.
Simonov, Y. (2017). Latest Tools and Methodologies for Flood Modeling.
Simor,V., Hlav cova, K., Kohnov a, S., & Szolgay, J. (2012). Application of Artificial neural networks for estimating index floods. Contrib. Geophys. Geod. 42 (4), 295–311.
Sjåstad, J., Cutler, A., Trambauer, P., Weerts, A., Suarez, P. & Solomatine, D.(2020). Progress in Disaster Science Development and evaluation of fl ood forecasting models for forecast-based fi nancing using a novel model suitability matrix. Prog. Disaster Sci. 6, 100076.
Sohrat, R.K.J., & Birendra, A. (2020). Comparative evaluation of conceptual and physical rainfall – runoff models. Appl. Water Sci. 10 (1), 1–14.
Tegegne, G., Park, D.K. & Kim, Y.(2017). Journal of Hydrology: Regional Studies Comparison of hydrological models for the assessment of water resources in a datascarce region, the Upper Blue Nile River Basin. J. Hydrol. Reg. Stud. 14 (October 2016), 49–66.
Thiemig, V., De Roo, A. & Gadain, H. (2011). Current status on flood forecasting and early warning in Africa. Int. J. River Basin Manag. 9 (1), 63–78.
Toth, E., Brath, A. & Montanari, A. (2000).Comparison of short-term rainfall prediction models for real-time flood.