Abdalla F. (2012). Mapping of groundwater prospective zones using remote sensing and GIS techniques, A case study from the Central Eastern Desert, Egypt. Journal of African Earth Sciences, 70(70), 8–17.
Alavi Panah, S. K. (2012). Application of remote sensing in earth science, Tehran University Publications.
Althuwaynee, O. F., Pradhan, B., & Lee, S. (2012). Application of an evidential belief function model in landslide susceptibility mapping. Comput Geosci. 44:120–135.
Althuwaynee, O. F., Pradhan, B., Park, H. J., & Lee, J. H. (2014). A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping. Catena, 114, 21–36.
Azadi, F., Sadough, S. H., Ghahroudi, M., & Shahabi, H. (2019). Zoning of flood risk in Kashkan River basin using two models WOE and EBF. Journal of Geography and Environmental Hazards, 9(1), 45-60.
Bhardwaj, S., & Veerappan, R. (2023). Flood Susceptibility Zonation Using Dempster-Shafer Evidential Belief Function (EBF) Method in Chalakudy Taluk, Kerala, India. In Impacts of Urbanization on Hydrological Systems in India (pp. 79-109). Cham: Springer International Publishing.
Botzen, W. J., Aerts, J. C. J. H., & Van den Bergh, J. C. J. M. (2013). Individual preferences for reducing flood risk to near zero through elevation. Mitigation and Adaptation Strategies for Global Change, 18, 229-244.
Daraie, H., Shahedi, K., & Moradian, M. (2016). Preparation of flood risk probability and sensitivity maps using the frequency ratio method in Shazand Doab Bridge watershed, Journal of watershed engineering and management, 8(1), 68-79. (In Persian).
Edet, A.E., Okereke, C.S., Teme, S.C., & Esu, E.O. (1998). Application of remote sensing data to groundwater exploration: A case study of the Cross River State, Southeastern Nigeria, Journal of Hydrogeology, 6(3), 394-404.
Esmaili, F., & Rahmani, S., (2013). Flood zoning using GIS and mathematical models with the aim of flood management, case study, Gavi River, Ilam province. International Bulletin of water resources and development, 2(5), 62-73 (In Persian).
Fernández, D.S., & Lutz, M.A. (2010). Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis. Eng Geol, 111, 90–98.
Ghanaati, E., Safari, A., Beheshti Jai, E., & M. (2013). Flood potential zoning using the integration of CN and AHP hydrological model in GIS environment, case study: Balkhlo river basin, Natural Geography Quarterly, 7(52).
Ghorbani Nejad, S., Falah, F., Daneshfar, M., Haghizadeh, A., & Rahmati, O. (2015). Delineation of groundwater potential zones using remote sensing and GIS-based data-driven models. Geocarto international, 32(2), 167-187.
Ghosh, B. (2023). Flood susceptibility assessment and mapping in a monsoon-dominated tropical river basin using GIS-based data-driven bivariate and multivariate statistical models and their ensemble techniques. Environmental Earth Sciences, 82(1), 28.
Glenn, E., Morino, K., Nagler, P., Murray, R., Pearlstein, S., Hultine, K. (2012). Roles of saltcedar (Tamarix spp.) and capillary rise in salinizing a non-flooding terrace on a flow-regulated desert river. J Arid Environ. 79, 56–65.
Gül, GO. (2013). Estimating flood exposure potentials in Turkish catchments through index-based flood mapping. Nat Hazards, 69, 403–423.
Manap, M.A., Sulaiman, W.N.A., Ramli, M.F., Pradhan, B., & Surip, N. (2013). A knowledge-driven GIS modeling technique for groundwater potential mapping at the Upper Langat Basin, Malaysia. Arabian journal of Geosciences, 6, 1621–1637.
Mogaji, K.A., Lim, H.S., & Abdullah, K. (2014). Regional prediction of groundwater potential mapping in a multifaceted geology terrain using GIS-based Dempster-Shafer model. Arabian journal of Geosciences, 8, 3235–3258.
Nampak, H., Pradhan, B., & Manap, M.A. (2014). Application of GIS based data driven evidential belief function model to predict groundwater potential zonation. Journal of hydrology, 513, 283-300
Negnevitsky, M. (2002). Artificial intelligence-a guide to intelligent systems. Great Britain: Addison-Wesley.
Parsaie, A. (2021). Flood Zoning Using HEC-RAS and GIS Software (Case Study of Silakhor Plain River, Lorestan Province). Journal of Science and Technology Construction, 2(2), 1-10
Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological modelling, 190(3-4), 231-259.
Pourtaghi, Z. S., & Pourghasemi, H. R. (2014). GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran. Hydrogeol J, 22(3), 643-662.
Rahmati, O., Pourghasemi, H. R., & Zeinivand, H. (2015). Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran. Geocarto International, 31(1), 42-70.
Rahmati, O., Zeinivand, H., & Besharat, M. (2016). Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis. Geomatics, Natural Hazards and Risk, 7(3), 1000-1017.
Shaban, A., Khawlie, M., & Abdallah, C. (2006). Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon. Hydrogeology Journal, 14, 433-443.
Shafapour Tehrany, M. S., Lee, M.J., Pradhan, B., Neamah Jebur, M., & a Lee, S. (2014). Flood susceptibility mapping using integrated bivariate and multivariate statistical models. Environ Earth Sci, 72, 4001-4015.
Shafapour 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.
Siah Kamari, S. (2014). Comparing the effectiveness of abundance ratio and maximum entropy models in preparing maps of flood-prone areas (case study: Madarso watershed in Golestan province), Master's thesis, Lorestan University.
Sidle, R., & Ochiai, H. (2006). Processes, prediction, and land use. Water resources monograph. American Geophysical Union, Washington, 525.
Tehrany, M. S., & Kumar, L. (2018). The application of a Dempster–Shafer-based evidential belief function in flood susceptibility mapping and comparison with frequency ratio and logistic regression methods. Environmental Earth Sciences, 77, 1-24.
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