بررسی پتانسیل خطر سیلاب در حوضه آبریز کرمان

Ahmed, I.,  Das, N., Debnath, J.,  Bhowmik, M., & Bhattacharjee, S. (2024).   Flood hazard zonation using GIS-based multi-parametric Analytical Hierarchy Process. Geosystems and Geoenvironment, 3(2): 100250. https://doi.org/10.1016/j.geogeo.2023.100250

Andualem, T.G., & Demeke, G.G. (2019). Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper blue Nile Basin, Ethiopia. Journal of Hydrology: Regional Studies, 24, 100610. https://doi.org/10.1016/j.ejrh.2019.100610.

Ashtari, N., Goorabi, A., Rahmati, M., & Darban Astaneh, A. (2022). Evaluation of Flood Hazard Potential and Investigation of Damage Caused by it in Talar Drainage Watershed. E.E.R. 12 (4) :1-25. (In Persian). URL: http://magazine.hormozgan.ac.ir/article-1-708-fa.html

Azadikhah, A., Bouzari, S., Yassaghi, A., & Emami, M.H. (2015). Formation of Extensional Basin in Internal Part of the Zag-Ros Orogeny in West of Sirjan, Iran. Open Journal of Geology, 5, 821-827. https://doi.org/10.4236/ojg.2015.511070

Baharvand, S., Rahnamarad, J., & Soori, S. (2016). Delineation of groundwater recharge potential zones using weighted linear combination method (case study: Kuhdasht plain, Iran). Journal of Geotechnical Geology, 12(2): 119-125.  https://www.sid.ir/paper/691618/en

Bates, P.D., Anderson, M.G., Baird, L., Walling, D.E, & Simm, D. (2009). Modelling floodplain flow with a two dimensional finite element scheme. Earth Surface Processes and Landforms, 17, 575-588. https://doi.org/10.1002/esp.3290170604

Chang, D.Y. (1996). Applications of the extent analysis method on fuzzy AHP. Eur J Oper Res., 95, 649–655. https://doi.org/10.1016/0377-2217(95)00300-2

Das, S. (2019). Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India. Remote Sensing Applications: Society and Environment, 14, 60-74. https://doi.org/10.1016/j.rsase.2019.02.006

Dash, P., & Sar, J. (2020). Identification and validation of potential flood hazard area using GIS-based multi-criteria analysis and satellite data-derived water index. J Flood Hazard Management. 13, 12620. https://doi.org/10.1111/jfr3.12620.

Deshmukh, K.S., & Shinde, G., (2005). An adaptive color image segmentation electron. Electron Lett Computer Vis Image Anal, 5(4):12–23. https://doi.org/10.5565/rev/elcvi a.115.

Esfandyari, F., Abedini, M., fakheripour, N., & Nezafat takle, B. (2023). Flood Risk Zoning Using Hec_Ras Hydrodynamic Model (Case Study: Qarahsou Basin, Kermanshah Province). Journal of Environmental Science Studies, 8(3), 6952-6961. (In Persian).   https://doi.org/10.22034/jess.2022.344023.1795

Jenifer, M.A., & Jha, M.K., (2017). Comparison of Analytic Hierarchy process, Catastrophe and Entropy techniques for evaluating groundwater prospect of hard-rock aquifer systems. J. Hydrol. (Amst), 548, 605–624. https://doi.org/10.1016/j.jhydrol.2017.03.023

Kazakis, N., Kougias, I., & Patsialis, T. (2015). Assessment of flood hazard areas at a regional scale using an index-based approach and analytical hierarchy process: Application in Rhodope-Evros region, Greece. Science of the Total Environment, 538, 555–563. https://doi.org/10.1016/j.scitotenv.2015.08.055.

Khedmatzadeh, A., & Najafzadeh, A. (2020). Flood Susceptibility Mapping and Risk Area Using GIS-Based Analytic Network Process (Case Study: Ghasemlou Hydrometric Station Basin). Journal of Science and Engineering Elites, 5(1): 6-12. (In Persian). https://www.sid.ir/paper/363369/en.

Mind'je, R., Li, L., Amanambu, A. C., Nahayo, L., Nsengiyumva, J. B., Gasirabo, A.,  & Mindje, M. (2019). Flood susceptibility modeling and hazard perception in Rwanda. International Journal of Disaster Hazard Reduction, 10, 1211. https://doi.org/10.1016/j.ijdrr.2019.101211

Mir Mosavi, S., & Esmaeili, H. (2021). Zoning of Flood-prone Areas Using Geographic Information System (GIS) and Remote Sensing (RS), (Case Study: Darab City). Journal of Natural Environmental Hazards, 10(27): 21-46. doi: https://doi.org/10.22111/jneh.2020.32986.1613. (In Persian).

Mitra, R., Saha, P., & Das, J. (2022). Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India. Geomatics. Nat Hazards Risk, 13(1): 2183–2226 https://doi.org/10.1080/19475705.2022.2112094

Mohammad Doust, A., & Shamsnia, S.A. (2023). Identification and Zoning of Flood-Prone Areas Using AHP - GIS (Case Study: Dayyer County, Bushehr Province). Journal of Geography and Environmental  Studies, 47,152-167. (In Persian). Dor: 20.1001.1.20087845.1402.12.47.9.5

Osman, S.A., & Das, J. (2023). GIS-based flood risk assessment using multi-criteria decision analysis of Shebelle River Basin in southern Somalia. SN Appl. Sci., 5, 134. https://doi.org/10.1007/s42452-023-05360-5

Ouma, Y. O., & Tateishi, R. (2014). Urban flood vulnerability and hazard mapping using integrated multi-parametric AHP and GIS: Methodological overview and case study assessment. Water, 6 (6): 1515–1545. https://doi.org/10.3390/w6061515

Pappenberger, F., Frodsham, K., Beven, K., Romanowicz, R., & Matgen, P. (2007). Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations. Hydrol. Earth Syst. Sci., 11, 739–752, https://doi.org/10.5194/hess-11-739-2007, 2007.

Poddar, I,. Alam, J., Basak, A., Mitra, R., & Das, J. (2023). Application of a geospatial-based subjective MCDM Method for Flood susceptibility modeling in Teesta River Basin, West Bengal, India. Monitoring and managing multi-hazards. Springer, Cham, pp 135–152. https://doi.org/10.1007/978-3-031-15377-8_10

Rajasekhar, M., Raju, G.S., Sreenivasulu, Y., & Raju, R.S. (2019). Delineation of groundwater potential zones in semi-arid region of Jilledubanderu river basin, Anantapur District, Andhra Pradesh, India using fuzzy logic, AHP and integrated fuzzy-AHP approaches. HydroResearch, 2, 97–108. https://doi.org/10.1016/j.hydres.2019.11.006.

Samela, C., Albano, R., Sole, A., & Manfreda, S., (2018). A GIS tool for cost-effective delineation of flood-prone areas, Computers. Environment and Urban Systems, 70, 43-52. https://doi.org/10.1016/j.compenvurbsys.2018.01.013

Soleimani Sardoo, F., Rafiei Sarooi, E., Mesbahzadeh, T., & Azareh, A.  (2021). Utilizing Sentinel 1 Images for Monitoring Damage of Flood Event in March 2020, the South of Kerman Province Based on Random Forest Algorithm, jwmseir. 15(53): 23-32. (In Persian). http://jwmsei.ir/article-1-976-fa.html

Tseng, M.L., Lin, Y.H., Chiu, A.S.F., & Chen, C.Y. (2008). Fuzzy AHP approach to TQM strategy evaluation. IEMS 7(1): 34–43. http://www.iemsjl.org/journal/article.php

Valizadeh, K., Delire R., & Azari, K. (2019). Flood zoning and its impact on land use in the surrounding area using unmanned aerial vehicles (UAV) images and GIS. Journal of RS and GIS for Natural Resources, 10(3): 59-75. (In Persian). https://www.sid.ir/paper/189492/fa

Viglione, A., Merz, R., & Blöschl, G. (2009). On the role of the runoff coefficient in the mapping of rainfall to flood return periods, Hydrology and Earth System Sciences. 13(5): 577–593. http://hdl.handle.net/20.500.12708/166187

Wu, Y., Zhong, P. A., Zhang, Y., Xu, B., Ma, B., & Yan, K. (2015). Integrated flood hazard assessment and zonation method: A case study in Huaihe River basin, China. Natural Hazards, 78(1): 635–651. https://doi.org/10.1007/s11069-015-1737-3

Xiao, JF., Li, J., & Moody, A. (2003). A detail-preserving and flexible adaptive filter for speckle suppression in SAR imagery. Int J Remote Sens., 24(12): 2451–2465. https://doi.org/10.1080/01431 16021 01548 85.