References
- Alizadeh, Z. (2022). Real-time adaptive operation of dam reservoir systems under flood conditions. Ph.D. Dissertation, Supervised by Dr. Jafar Yazdi, Shahid Beheshti University.
- Avand, M., Moradi, H.R., & Ramazanzadeh Lasboyee, M. (2021). Spatial prediction of future flood risk: an approach to the effects of climate change. Geosciences. https://doi.org/10.3390/geosciences11010025
- Bajracharya, S.R., Khanal, N.R., Nepal, P., Rai, S.K., Ghimire, P.K., & Pradhan, N.S. (2021). Community assessment of flood risks and early warning system in ratu watershed, Koshi basin, Nepal. Sustainability, 13(6), 3577. https://doi.org/10.3390/su13063577
- Brunner, G.W. (1995). HEC-RAS river analysis system. Hydraulic reference manual. Version 1.0.
- Byaruhanga, N., Kibirige, D., Gokool, S., & Mkhonta, G. (2024). Evolution of flood prediction and forecasting models for flood early warning systems: A scoping review. Water, 16(13), 1763. https://doi.org/10.3390/ w16131763
- Chen, W., Wu, H., Kimball, J.S., Alfieri, L., Nanding, N., Li, X., & Zhong, W. (2022). A coupled river basin urban hydrological model (DRIVE Urban) for real-time urban flood modeling. Water Resources Research, 58(11), e2021WR031709. https://doi.org/10.1029/2021wr031709
- Cheong, T.S., Choi, C., Ye, S.J., Shin, J., Kim, S., & Koo, K.M. (2023). Development of flood early warning frameworks for small streams in Korea. Water, 15(10), 1808. https://doi.org/10.3390/w15101808
- (2017). MIKE FLOOD: User Guide. DHI Water & Environment.
- Falck, A., Tomasella, J., & Papa, F. (2021). Assessing the potential of upcoming satellite altimeter missions in operational flood forecasting systems. Remote Sensing, 13(21), 4459. https://doi.org/10.3390/rs13214459
- GeoServer Project. (2024). GeoServer User Manual. Retrieved from https://docs.geoserver.org
- Ghahraman, K., Nagy, B., & Nooshin Nokhandan, F. (2023). Flood-prone zones of meandering rivers: Machine learning approach and considering the role of morphology (Kashkan River, Western Iran). Geosciences, 13(9), 267. https://doi.org/10.3390/geosciences13090267
- Jafarzadegan, K., Moradkhani, H., Pappenberger, F., Moftakhari, H., Bates, P., Abbaszadeh, P., & Duan, Q. (2023). Recent advances and new frontiers in riverine and coastal flood modeling. Reviews of Geophysics, 61(2), e2022RG000788. https://doi.org/10.1029/2022rg000788
- Kalimisetty, S., Singh, A., Korada Hari Venkata, D.R., & Mahammood, V. (2022). 1D and 2D model coupling approach for the development of operational spatial flood early warning system. Geocarto International, 37(15), 4390-4405. https://doi.org/10.1080/10106049.2021.1886335
- Karami, M., Abedi Koupai, J., & Gohari, S.A. (2024). Integration of SWAT, SDSM, AHP, and TOPSIS to detect flood-prone areas. Natural Hazards, 120(7), 6307-6325. https://doi.org/10.1007/s11069-024-06483-7
- Liu, Y., Wang, H., & Lei, X. (2021). Real-time forecasting of river water level in urban based on radar rainfall: A case study in Fuzhou City. Journal of Hydrology, 603, 126820. https://doi.org/10.1016/j.jhydrol.2021.126820
- Merino, A., García-Ortega, E., Navarro, A., Sánchez, J.L., & Tapiador, F.J. (2022). WRF hourly evaluation for extreme precipitation events. Atmospheric Research, 274, 106215. https://doi.org/10.1016/j.atmosres.2022.106215
- Mishra, A., Mukherjee, S., Merz, B., Singh, V.P., Wright, D.B., Villarini, G., & Stedinger, J.R. (2022). An overview of flood concepts, challenges, and future directions. Journal of Hydrologic Engineering, 27(6), 03122001. https://doi.org/10.1061/(asce)he.1943-5584.0002164
- Montgomery, D.R., Buffington, J.M., Smith, R.D., Schmidt, K.M., & Pess, G. (1995). Pool spacing in forest channels. Water Resources Research, 31(4), 1097-1105.
- Morshed, M.A., Mushwani, H., Sahak, K., & Hairan, M.H. (2024). The current state of early warning system in South Asia: A case study of Afghanistan. International Journal of Disaster Risk Reduction, 100, 104201. https://doi.org/10.1016/j.ijdrr.2023.104201
- Muñoz, P., Orellana-Alvear, J., Bendix, J., Feyen, J., & Célleri, R. (2021). Flood early warning systems using machine learning techniques: The case of the Tomebamba Catchment at the southern Andes of Ecuador. Hydrology, 8(4), 183. https://doi.org/10.20944/preprints202111.0510.v1
- Nanda, T., Sahoo, B., Beria, H., & Chatterjee, C. (2016). A wavelet-based non-linear autoregressive with exogenous inputs (WNARX) dynamic neural network model for real-time flood forecasting using satellite-based rainfall products. Journal of Hydrology, 539, 57-73. https://doi.org/10.1016/j.jhydrol.2016.05.014
- (2020). NCEP GFS: NOAA's Global Forecast System. National Centers for Environmental Prediction, National Oceanic and Atmospheric Administration.
- Obe, R.O., & Hsu, L.S. (2015). PostGIS in Action, 2nd Edition. Manning Publications.
- Patel, P., Thakur, P.K., Aggarwal, S.P., Garg, V., Dhote, P.R., Nikam, B.R., & Al-Ansari, N. (2022). Revisiting 2013 Uttarakhand flash floods through hydrological evaluation of precipitation data sources and morphometric prioritization. Geomatics, Natural Hazards and Risk, 13(1), 646-666. https://doi.org/10.1080/19475705.2022. 2038696
- Ren, D.F., & Cao, A.H. (2023). Precipitation–runoff simulation in Xiushui river basin using HEC–HMS hydrological model. Modeling Earth Systems and Environment, 9(2), 2845-2856. https://doi.org/10.1007/s40808-022-01679-x
- (1972). National Engineering Handbook, Section 4: Hydrology. Soil Conservation Service, U.S. Department of Agriculture, Washington, D.C.
- (1986). Urban hydrology for small watersheds (TR-55). Soil Conservation Service, U.S. Department of Agriculture, Washington, D.C.
- Shaikh, A.A., Pathan, A.I., Waikhom, S.I., Agnihotri, P.G., Islam, M.N., & Singh, S.K. (2023). Application of latest HEC-RAS version 6 for 2D hydrodynamic modeling through GIS framework: a case study from coastal urban floodplain in India. Modeling Earth Systems and Environment, 9(1), 1369-1385. https://doi.org/10.1007/s40808-022-01567-4
- USACE-HEC. (2018). HEC-HMS Hydrologic Modeling System User’s Manual, Version 4.3. U.S. Army Corps of Engineers, Hydrologic Engineering Center.
- Zang, Y., Meng, Y., Guan, X., Lv, H., & Yan, D. (2022). Study on urban flood early warning system considering flood loss. International Journal of Disaster Risk Reduction, 77, 103042. https://doi.org/10.1016/j.ijdrr.2022. 103042
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