[Alaghmand S., Bin-Abdullah R., Abustan I., Vosoogh B. 2010. GIS-based River Flood Hazard Mapping in Urban Area: A Case Study in Kayu Ara River Basin, Malaysia. International Journal of Engineering & Technology, 2: 488–500.]Search in Google Scholar
[Aldescu G.C. 2008. The necessity of flood risk maps on Timis river. IOP Conference Series: Earth and Environmental Science, 4. IOP Publishing.10.1088/1755-1307/4/1/012006]Search in Google Scholar
[Black A.R., Burns J.C. 2002. Re-assessing the flood risk in Scotland. Science of the Total Environment, 294, 1: 169–184.]Search in Google Scholar
[Chen Y-R., Yeh C-H., Yu B. 2011. Integrated application of the analytic hierarchy process and the geographic information system for flood risk assessment and flood plain management in Taiwan. Natural Hazards, 59, 3: 1261–1276.]Search in Google Scholar
[Chow V. 1959. Open-Channel Hydraulics. McGraw-Hill Book Company.]Search in Google Scholar
[Correia F.N., Da Graça Saraiva M., Da Silva F.N., Ramos I. 1999. Floodplain management in urban developing areas. Part I. Urban Growth Scenarios and land-use controls. Water Resources Management, 13, 1: 1–21.]Search in Google Scholar
[De Sherbinin A., Levy M., Adamo S., MacManus K., Yetman G., Mara V., Razafindrazay L., Goodrich B., Srebotnjak T., Aichele C. 2012. Migration and risk: net migration in marginal ecosystems and hazardous areas. Environmental Research Letters, 7, 4: 045602.]Search in Google Scholar
[Dewan A.M., Monirul Islam M., Kumamoto T., Nishigaki M. 2007. Evaluating flood hazard for land-use planning in greater Dhaka of Bangladesh using remote sensing and GIS techniques. Water Resources Management, 21, 9: 1601–1612.]Search in Google Scholar
[Dixon K.W., Lanzante J.R., Nath M.J., Hayhoe K., Stoner A., Radhakrishnan A., Balaji V., Gaitán C.F. 2016. Evaluating the Stationarity Assumption in Statistically Downscaled Climate Projections: Is Past Performance an Indicator of Future Results? Climate change, 135,395-408.10.1007/s10584-016-1598-0]Search in Google Scholar
[Dorn H., Vetter M., Höfle B. 2014. GIS-Based Roughness Derivation for Flood Simulations: A Comparison of Orthophotos, LiDAR and Crowdsourced Geodata, Remote Sensing., 6; 1739-1759.10.3390/rs6021739]Search in Google Scholar
[Elkhrachy I. 2015. Flash Flood Hazard Mapping Using Satellite Images and GIS Tools: A case study of Najran City, Kingdom of Saudi Arabia (KSA). The Egyptian Journal of Remote Sensing and Space Sciences, 18, 2: 261–278.]Search in Google Scholar
[Emmanouloudis D., Myronidis D., Ioannou K. 2008. Assessment of flood risk in Thasos Island with the combined use of multicriteria analysis AHP and geographical information system. Innovative Applications Information Agricultural Environment. 2: 103–115.]Search in Google Scholar
[Fernández D.S., Lutz M.A. 2010. Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and Multi Criteria Decision Analysis. Engineering Geology, 111, 1–4: 90–98.]Search in Google Scholar
[Forte F., Pennetta L., Strobl R.O. 2005. Historic records and GIS applications for flood risk analysis in the Salento peninsula (southern Italy). Natural Hazards and Earth System Sciences, 5, 6: 833–844.]Search in Google Scholar
[Gerl T., Bochow M., Kreibich H. 2014. Flood Damage Modeling on the basis of Urban Structure Mapping Using High-Resolution Remote Sensing Data. Water, 6, 8: 2367–2393.]Search in Google Scholar
[Jaafari A., Najafi A., Pourghasemi H.R., Rezaeian J., Sattarian A. 2014. A GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran. International Journal of Environmental Science and Technology, 11, 4: 909–926.]Search in Google Scholar
[Koehler K.A., Volckens J. 2011. Prospects and pitfalls of occupational hazard mapping: ‘between these lines there be dragons’, Annals of Occupational Hygiene, 55, 8: 829–840.]Search in Google Scholar
[Koelle H. 1975. Zur Berucksichtingung von interdependenzen bei Entscheidung sprozessen. Analysen und Prognosen uber die Welt von Morgen, 7.]Search in Google Scholar
[Kumar T., Gautam A.K., Kumar T. 2014. Appraising the accuracy of GIS-based Multi-criteria decision-making technique for delineation of Groundwater potential zones. Water Resources Management, 28, 13: 4449.]Search in Google Scholar
[Liu Y.B., Gebremeskel S., De Smedt F., Hoffmann L., Pfister, L. 2003. A diffusive transport approach for flow routing in GIS-based flood modeling. Journal of Hydrology, 283, 1–4: 91–106.]Search in Google Scholar
[Mansor S., Shariah M., Billa L., Setiawan I., Jabar F. 2004. Spatial technology for natural risk management. Disaster Prevention and Management. 13, 5: 364–373.]Search in Google Scholar
[Meja-Navarro M., Wohl E.E., Oaks S.D. 1994. Geological hazards, vulnerability, and risk assessment using GIS: model for Glenwood Springs, Colorado. Geomorphology, 10, 1–4: 331–354.10.1016/B978-0-444-82012-9.50025-6]Search in Google Scholar
[Meyer V., Scheuer S., Haase D. 2009. A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany. Natural Hazards, 48, 1: 17–39.]Search in Google Scholar
[National Engineering Handbook, 1972. Design hydrographs, NEH Notice Section 4 Hydrology, 21: 4-102.]Search in Google Scholar
[Ologunorisa T.E. 2003. An assessment of flood vulnerability zones in the Niger delta, Nigeria. International Journal of Environmental Studies, 61, 1: 31–38.]Search in Google Scholar
[Ouma Y.O., Tateishi R. 2014. Urban Flood Vulnerability and Risk Mapping Using Integrated Multi-Parametric AHP and GIS: Methodological Overview and Case Study Assessment. Water, 6, 6: 1515–1545.]Search in Google Scholar
[Patel D.P., Srivastava P.K. 2013. Flood hazards mitigation analysis using remote sensing and GIS: Correspondence with town planning scheme. Water Resources Management, 27, 7: 2353–2368.]Search in Google Scholar
[Sanyal J., Lu X. 2006. GIS-based flood hazard mapping at different administrative scales: a case study in Gangetic West Bengal. Singapore Journal of Tropical Geography, 27: 207–220.]Search in Google Scholar
[Schumann A.H., Funke R., Schultz G.A. 2000. Application of a geographic information system for conceptual rainfall–runoff modeling. Journal of Hydrology, 240, 1–2: 45–61.]Search in Google Scholar
[Sinha R., Bapalu G., Singh L., Rath B. 2008. Flood risk analysis in the Kosi river basin, north Bihar using multi-parametric approach of analytical hierarchy process (AHP). Journal of the Indian Society of Remote Sensing, 36, 4: 335–349.]Search in Google Scholar
[Sowmya K., John C.M., Shrivasthava N.K. 2015. Urban flood vulnerability zoning of Cochin City, southwest coast of India, using Remote Sensing and GIS. Natural Hazards, 75, 2: 1271–1286.]Search in Google Scholar
[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: 69–79.10.1016/j.jhydrol.2013.09.034]Search in Google Scholar
[Tehrany M.S., Pradhan B., Jebur M.N., Neamah M. 2014. Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. Journal of Hydrology, 512: 332–343.]Search in Google Scholar
[Vahidnia M.H., Alesheikh A.A., Alimohammadi A., Hosseinali F. 2010. A GIS-based neurofuzzy procedure for integrating knowledge and data in landslide susceptibility mapping. Computers & Geosciences, 36, 9: 1101–1114.]Search in Google Scholar
[Van A.V.D., Logtmeijer C. 2005. Economic hotspots: visualizing vulnerability to flooding. Natural Hazards. 36, 1–2: 65–80.]Search in Google Scholar
[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.]Search in Google Scholar
[Zangemeister C. 1971. Nutzwertanalyse in der Systemtechnik, 4th ed. Wittemannsche Buchhandlung, Munchen.]Search in Google Scholar
[Zerger A. 2002. Examining GIS decision utility for natural hazard risk modelling. Environmental Modelling & Software, 17, 3: 287–294.]Search in Google Scholar
[Zhu G.N., Hu J., Qi J., Gu C.C., Peng J.H. 2015. An integrated AHP and VIKOR for design concept evaluation based on rough number. Advanced Engineering Informatics, 29, 3: 408–418.]Search in Google Scholar
[https://earthexplorer.usgs.gov/]Search in Google Scholar
[https://www.hexagongeospatial.com/products/power-portfolio/erdas-imagine]Search in Google Scholar
[http://globalweather.tamu.edu]Search in Google Scholar
