{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T03:45:23Z","timestamp":1773200723381,"version":"3.50.1"},"reference-count":89,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,10,6]],"date-time":"2022-10-06T00:00:00Z","timestamp":1665014400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,10,6]],"date-time":"2022-10-06T00:00:00Z","timestamp":1665014400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Earth Sci Inform"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s12145-022-00872-x","type":"journal-article","created":{"date-parts":[[2022,10,6]],"date-time":"2022-10-06T08:03:51Z","timestamp":1665043431000},"page":"2619-2636","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Geospatial modeling using hybrid machine learning approach for flood susceptibility"],"prefix":"10.1007","volume":"15","author":[{"given":"Bibhu Prasad","family":"Mishra","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5546-1424","authenticated-orcid":false,"given":"Dillip Kumar","family":"Ghose","sequence":"additional","affiliation":[]},{"given":"Deba Prakash","family":"Satapathy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,10,6]]},"reference":[{"key":"872_CR1","volume-title":"A GIS-based flood risk assessment tool: supporting flood incident management at the local scale","author":"M Alexander","year":"2011","unstructured":"Alexander M, Viavattene C, Faulkner H, Priest S (2011) A GIS-based flood risk assessment tool: supporting flood incident management at the local scale. Flood Hazard Research Centre, Middlesex University, London"},{"issue":"1","key":"872_CR2","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s11069-008-9277-8","volume":"49","author":"H Apel","year":"2009","unstructured":"Apel H, Aronica GT, Kreibich H, Thieken AH (2009) Flood risk analyses\u2014how detailed do we need to be? Nat Hazards 49(1):79\u201398","journal-title":"Nat Hazards"},{"issue":"13","key":"872_CR3","doi-asserted-by":"publisher","first-page":"2593","DOI":"10.1002\/hyp.5649","volume":"18","author":"PD Bates","year":"2004","unstructured":"Bates PD (2004) Remote sensing and flood inundation modelling. Hydrol Process 18(13):2593\u20132597","journal-title":"Hydrol Process"},{"issue":"3","key":"872_CR4","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.lrp.2014.02.005","volume":"47","author":"PM Bentler","year":"2014","unstructured":"Bentler PM, Huang W (2014) On components, latent variables, PLS and simple methods: reactions to Rigdon\u2019s rethinking of PLS. Long Range Plan 47(3):138\u2013145","journal-title":"Long Range Plan"},{"issue":"2","key":"872_CR5","first-page":"7","volume":"2","author":"P Biswajeet","year":"2009","unstructured":"Biswajeet P, Mardiana S (2009) Flood hazrad assessment for cloud prone rainy areas in a typical tropical environment. Disaster Advances 2(2):7\u201315","journal-title":"Disaster Advances"},{"key":"872_CR6","doi-asserted-by":"crossref","unstructured":"Boser BE, Guyon IM, Vapnik VN (1992) A training algorithm for optimal margin classifiers. Proceedings of the Fifth Annual Workshop on Computational Learning Theory, pp 144\u2013152","DOI":"10.1145\/130385.130401"},{"issue":"7","key":"872_CR7","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","volume":"30","author":"AP Bradley","year":"1997","unstructured":"Bradley AP (1997) The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recogn 30(7):1145\u20131159","journal-title":"Pattern Recogn"},{"issue":"6","key":"872_CR8","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1061\/(ASCE)1084-0699(2005)10:6(485)","volume":"10","author":"KW Chau","year":"2005","unstructured":"Chau KW, Wu CL, Li YS (2005) Comparison of several flood forecasting models in Yangtze River. J Hydrol Eng 10(6):485\u2013491","journal-title":"J Hydrol Eng"},{"issue":"3","key":"872_CR9","doi-asserted-by":"publisher","first-page":"1261","DOI":"10.1007\/s11069-011-9831-7","volume":"59","author":"Y-R Chen","year":"2011","unstructured":"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. Nat Hazards 59(3):1261\u20131276","journal-title":"Nat Hazards"},{"key":"872_CR10","doi-asserted-by":"publisher","first-page":"2087","DOI":"10.1016\/j.scitotenv.2018.10.064","volume":"651","author":"B Choubin","year":"2019","unstructured":"Choubin B, Moradi E, Golshan M, Adamowski J, Sajedi-Hosseini F, Mosavi A (2019) An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines. Sci Total Environ 651:2087\u20132096","journal-title":"Sci Total Environ"},{"key":"872_CR11","doi-asserted-by":"publisher","first-page":"39","DOI":"10.2478\/v10303-012-0004-5","volume":"8","author":"P Cs\u00e1fordi","year":"2012","unstructured":"Cs\u00e1fordi P, P\u0151d\u00f6r A, Bug J, Gribovszki Z (2012) Soil erosion analysis in a small forested catchment supported by ArcGIS Model Builder. Acta Silv Lignaria Hung 8:39\u201355","journal-title":"Acta Silv Lignaria Hung"},{"issue":"9","key":"872_CR12","doi-asserted-by":"publisher","first-page":"3257","DOI":"10.1073\/pnas.1302078110","volume":"111","author":"R Dankers","year":"2014","unstructured":"Dankers R, Arnell NW, Clark DB, Falloon PD, Fekete BM, Gosling SN, Heinke J, Kim H, Masaki Y, Satoh Y (2014) First look at changes in flood hazard in the inter-sectoral impact model intercomparison project ensemble. Proc Natl Acad Sci 111(9):3257\u20133261","journal-title":"Proc Natl Acad Sci"},{"issue":"3","key":"872_CR13","doi-asserted-by":"publisher","first-page":"615","DOI":"10.3390\/w11030615","volume":"11","author":"UL Dano","year":"2019","unstructured":"Dano UL, Balogun A-L, Matori A-N, Wan Yusouf K, Abubakar IR, Said Mohamed MA, Aina YA, Pradhan B (2019) Flood susceptibility mapping using GIS-based analytic network process: a case study of Perlis, Malaysia. Water 11(3):615","journal-title":"Water"},{"issue":"2","key":"872_CR14","doi-asserted-by":"publisher","first-page":"297","DOI":"10.25300\/MISQ\/2015\/39.2.02","volume":"39","author":"TK Dijkstra","year":"2015","unstructured":"Dijkstra TK, Henseler J (2015) Consistent partial least squares path modeling. MIS Q 39(2):297\u2013316","journal-title":"MIS Q"},{"issue":"10","key":"872_CR15","doi-asserted-by":"publisher","first-page":"1931","DOI":"10.5194\/hess-14-1931-2010","volume":"14","author":"A Elshorbagy","year":"2010","unstructured":"Elshorbagy A, Corzo G, Srinivasulu S, Solomatine DP (2010a) Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology-part 1: concepts and methodology. Hydrol Earth Syst Sci 14(10):1931\u20131941","journal-title":"Hydrol Earth Syst Sci"},{"issue":"10","key":"872_CR16","doi-asserted-by":"publisher","first-page":"1943","DOI":"10.5194\/hess-14-1943-2010","volume":"14","author":"A Elshorbagy","year":"2010","unstructured":"Elshorbagy A, Corzo G, Srinivasulu S, Solomatine DP (2010b) Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology-part 2: application. Hydrol Earth Syst Sci 14(10):1943\u20131961","journal-title":"Hydrol Earth Syst Sci"},{"key":"872_CR17","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","volume":"27","author":"T Fawcett","year":"2006","unstructured":"Fawcett T (2006) Introduction to receiver operator curves. Pattern Recognit Lett 27:861\u2013874","journal-title":"Pattern Recognit Lett"},{"issue":"4","key":"872_CR18","doi-asserted-by":"publisher","first-page":"2451","DOI":"10.1002\/hyp.9726","volume":"28","author":"F Fenicia","year":"2014","unstructured":"Fenicia F, Kavetski D, Savenije HHG, Clark MP, Schoups G, Pfister L, Freer J (2014) Catchment properties, function, and conceptual model representation: is there a correspondence? Hydrol Process 28(4):2451\u20132467","journal-title":"Hydrol Process"},{"issue":"6","key":"872_CR19","doi-asserted-by":"publisher","first-page":"191","DOI":"10.3390\/geosciences8060191","volume":"8","author":"C Furl","year":"2018","unstructured":"Furl C, Ghebreyesus D, Sharif HO (2018) Assessment of the performance of satellite-based precipitation products for flood events across diverse spatial scales using GSSHA modeling system. Geosciences 8(6):191","journal-title":"Geosciences"},{"issue":"4","key":"872_CR20","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1016\/S0003-2670(01)85039-X","volume":"112","author":"RW Gerlach","year":"1979","unstructured":"Gerlach RW, Kowalski BR, Wold HOA (1979) Partial least-squares path modelling with latent variables. Anal Chim Acta 112(4):417\u2013421","journal-title":"Anal Chim Acta"},{"issue":"3","key":"872_CR21","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.jhydrol.2010.09.003","volume":"394","author":"DK Ghose","year":"2010","unstructured":"Ghose DK, Panda SS, Swain PC (2010) Prediction of water table depth in western region, Orissa using BPNN and RBFN neural networks. J Hydrol 394(3):296\u2013304. https:\/\/doi.org\/10.1016\/j.jhydrol.2010.09.003","journal-title":"J Hydrol"},{"issue":"1","key":"872_CR22","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.enggeo.2005.07.011","volume":"81","author":"C Gokceoglu","year":"2005","unstructured":"Gokceoglu C, Sonmez H, Nefeslioglu HA, Duman TY, Can T (2005) The 17 March 2005 Kuzulu landslide (Sivas, Turkey) and landslide-susceptibility map of its near vicinity. Eng Geol 81(1):65\u201383","journal-title":"Eng Geol"},{"issue":"5","key":"872_CR23","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1007\/s11747-017-0517-x","volume":"45","author":"JF Hair","year":"2017","unstructured":"Hair JF, Hult GTM, Ringle CM, Sarstedt M, Thiele KO (2017) Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. J Acad Mark Sci 45(5):616\u2013632","journal-title":"J Acad Mark Sci"},{"issue":"2","key":"872_CR24","first-page":"135","volume":"15","author":"M Haq","year":"2012","unstructured":"Haq M, Akhtar M, Muhammad S, Paras S, Rahmatullah J (2012) Techniques of remote sensing and GIS for flood monitoring and damage assessment: a case study of Sindh province, Pakistan. Egypt J Remote Sens Space Sci 15(2):135\u2013141","journal-title":"Egypt J Remote Sens Space Sci"},{"key":"872_CR25","doi-asserted-by":"crossref","unstructured":"Heba FE, Darwish A, Hassanien AE, Abraham A (2010) Principle components analysis and support vector machine-based intrusion detection system. 2010 10th international conference on intelligent systems design and applications, pp 363\u2013367","DOI":"10.1109\/ISDA.2010.5687239"},{"issue":"2","key":"872_CR26","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1177\/1094428114526928","volume":"17","author":"J Henseler","year":"2014","unstructured":"Henseler J, Dijkstra TK, Sarstedt M, Ringle CM, Diamantopoulos A, Straub DW, Ketchen DJ Jr, Hair JF, Hult GTM, Calantone RJ (2014) Common beliefs and reality about PLS: comments on R\u00f6nkk\u00f6 and Evermann (2013). Organ Res Methods 17(2):182\u2013209","journal-title":"Organ Res Methods"},{"key":"872_CR27","doi-asserted-by":"publisher","first-page":"1124","DOI":"10.1016\/j.scitotenv.2017.10.114","volume":"621","author":"H Hong","year":"2018","unstructured":"Hong H, Panahi M, Shirzadi A, Ma T, Liu J, Zhu A-X, Chen W, Kougias I, Kazakis N (2018) Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution. Sci Total Environ 621:1124\u20131141","journal-title":"Sci Total Environ"},{"issue":"1","key":"872_CR28","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.eswa.2010.06.066","volume":"38","author":"S-J Horng","year":"2011","unstructured":"Horng S-J, Su M-Y, Chen Y-H, Kao T-W, Chen R-J, Lai J-L, Perkasa CD (2011) A novel intrusion detection system based on hierarchical clustering and support vector machines. Expert Syst Appl 38(1):306\u2013313","journal-title":"Expert Syst Appl"},{"issue":"1\u20134","key":"872_CR29","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.jhydrol.2005.10.027","volume":"326","author":"MS Horritt","year":"2006","unstructured":"Horritt MS (2006) A methodology for the validation of uncertain flood inundation models. J Hydrol 326(1\u20134):153\u2013165","journal-title":"J Hydrol"},{"key":"872_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2019.135161","volume":"711","author":"FS Hosseini","year":"2020","unstructured":"Hosseini FS, Choubin B, Mosavi A, Nabipour N, Shamshirband S, Darabi H, Haghighi AT (2020) Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method. Sci Total Environ 711:135161","journal-title":"Sci Total Environ"},{"issue":"1","key":"872_CR31","doi-asserted-by":"publisher","first-page":"379","DOI":"10.5194\/hess-17-379-2013","volume":"17","author":"HTL Huong","year":"2013","unstructured":"Huong HTL, Pathirana A (2013) Urbanization and climate change impacts on future urban flooding in Can Tho city, Vietnam. Hydrol Earth Syst Sci 17(1):379\u2013394","journal-title":"Hydrol Earth Syst Sci"},{"key":"872_CR32","doi-asserted-by":"crossref","unstructured":"Hussain M, Wajid SK, Elzaart A, Berbar M (2011) A comparison of SVM kernel functions for breast cancer detection. 2011 eighth international conference computer graphics, imaging and visualization, pp 145\u2013150","DOI":"10.1109\/CGIV.2011.31"},{"key":"872_CR33","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.ijinfomgt.2018.09.011","volume":"46","author":"TEL Idrissi","year":"2019","unstructured":"Idrissi TEL, Idri A, Bakkoury Z (2019) Systematic map and review of predictive techniques in diabetes self-management. Int J Inf Manage 46:263\u2013277","journal-title":"Int J Inf Manage"},{"issue":"3","key":"872_CR34","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1109\/2.485891","volume":"29","author":"AK Jain","year":"1996","unstructured":"Jain AK, Mao J, Mohiuddin KM (1996) Artificial neural networks: a tutorial. Computer 29(3):31\u201344","journal-title":"Computer"},{"key":"872_CR35","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1016\/j.scitotenv.2015.08.055","volume":"538","author":"N Kazakis","year":"2015","unstructured":"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. Sci Total Environ 538:555\u2013563","journal-title":"Sci Total Environ"},{"key":"872_CR36","doi-asserted-by":"publisher","first-page":"744","DOI":"10.1016\/j.scitotenv.2018.01.266","volume":"627","author":"K Khosravi","year":"2018","unstructured":"Khosravi K, Pham BT, Chapi K, Shirzadi A, Shahabi H, Revhaug I, Prakash I, Bui DT (2018) A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran. Sci Total Environ 627:744\u2013755","journal-title":"Sci Total Environ"},{"issue":"2","key":"872_CR37","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1111\/j.1752-1688.2001.tb00980.x","volume":"37","author":"ST Khu","year":"2001","unstructured":"Khu ST, Liong S, Babovic V, Madsen H, Muttil N (2001) Genetic programming and its application in real-time runoff forecasting 1. J Am Water Resour Assoc 37(2):439\u2013451","journal-title":"J Am Water Resour Assoc"},{"issue":"1","key":"872_CR38","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s12665-011-1504-z","volume":"67","author":"MB Kia","year":"2012","unstructured":"Kia MB, Pirasteh S, Pradhan B, Mahmud AR, Sulaiman WNA, Moradi A (2012) An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia. Environ Earth Sci 67(1):251\u2013264","journal-title":"Environ Earth Sci"},{"key":"872_CR39","unstructured":"Lawal DU, Matori AN, Hashim AM, Wan Yusof K, Chandio IA (2012) Detecting flood susceptible areas using GIS-based analytic hierarchy process"},{"issue":"1","key":"872_CR40","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/18\/1\/012059","volume":"18","author":"DU Lawal","year":"2014","unstructured":"Lawal DU, Matori A-N, Yusuf KW, Hashim AM, Balogun A-L (2014) Analysis of the flood extent extraction model and the natural flood influencing factors: a GIS-based and remote sensing analysis. IOP Conf Ser: Earth Environ Sci 18(1):012059","journal-title":"IOP Conf Ser: Earth Environ Sci"},{"issue":"1\u20132","key":"872_CR41","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1016\/j.jhydrol.2011.04.003","volume":"403","author":"G Lecca","year":"2011","unstructured":"Lecca G, Petitdidier M, Hluchy L, Ivanovic M, Kussul N, Ray N, Thieron V (2011) Grid computing technology for hydrological applications. J Hydrol 403(1\u20132):186\u2013199","journal-title":"J Hydrol"},{"issue":"2","key":"872_CR42","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1080\/19475705.2017.1308971","volume":"8","author":"S Lee","year":"2017","unstructured":"Lee S, Kim J-C, Jung H-S, Lee MJ, Lee S (2017) Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea. Geomat Nat Haz Risk 8(2):1185\u20131203","journal-title":"Geomat Nat Haz Risk"},{"key":"872_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2019.102047","volume":"51","author":"L-Y Leong","year":"2020","unstructured":"Leong L-Y, Hew T-S, Ooi K-B, Wei J (2020) Predicting mobile wallet resistance: a two-staged structural equation modeling-artificial neural network approach. Int J Inf Manage 51:102047","journal-title":"Int J Inf Manage"},{"key":"872_CR44","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.ins.2016.09.039","volume":"375","author":"D Liang","year":"2017","unstructured":"Liang D, Xu Z, Liu D (2017) Three-way decisions with intuitionistic fuzzy decision-theoretic rough sets based on point operators. Inf Sci 375:183\u2013201","journal-title":"Inf Sci"},{"key":"872_CR45","doi-asserted-by":"crossref","unstructured":"Lohm\u00f6ller J-B (1989) Predictive vs. structural modeling: Pls vs. ml. In: Latent variable path modeling with partial least squares. Springer, pp 199\u2013226","DOI":"10.1007\/978-3-642-52512-4_5"},{"issue":"3","key":"872_CR46","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1007\/s11069-017-3083-0","volume":"90","author":"C Luu","year":"2018","unstructured":"Luu C, von Meding J, Kanjanabootra S (2018) Assessing flood hazard using flood marks and analytic hierarchy process approach: a case study for the 2013 flood event in Quang Nam, Vietnam. Nat Hazards 90(3):1031\u20131050","journal-title":"Nat Hazards"},{"key":"872_CR47","doi-asserted-by":"publisher","first-page":"126500","DOI":"10.1016\/j.jhydrol.2021.126500","volume":"599","author":"C Luu","year":"2021","unstructured":"Luu C, Pham BT, van Phong T, Costache R, Nguyen HD, Amiri M, Bui QD, Nguyen LT, van Le H, Prakash I (2021) GIS-based ensemble computational models for flood susceptibility prediction in the Quang Binh Province, Vietnam. J Hydrol 599:126500","journal-title":"J Hydrol"},{"key":"872_CR48","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.scitotenv.2018.04.282","volume":"636","author":"SH Mahmoud","year":"2018","unstructured":"Mahmoud SH, Gan TY (2018) Urbanization and climate change implications in flood risk management: developing an efficient decision support system for flood susceptibility mapping. Sci Total Environ 636:152\u2013167","journal-title":"Sci Total Environ"},{"key":"872_CR49","unstructured":"Manandhar B (2010) Flood plain analysis and risk assessment of Lothar Khola. Master of Science Thesis in Watershed Management. Tribhuvan University Institute of Forestry Pokhara, Nepal"},{"issue":"1","key":"872_CR50","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s11069-008-9244-4","volume":"48","author":"V Meyer","year":"2009","unstructured":"Meyer V, Scheuer S, Haase D (2009) A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany. Nat Hazards 48(1):17\u201339","journal-title":"Nat Hazards"},{"key":"872_CR51","first-page":"345","volume":"12","author":"JD Miller","year":"2017","unstructured":"Miller JD, Hutchins M (2017) The impacts of urbanisation and climate change on urban flooding and urban water quality: A review of the evidence concerning the United Kingdom. J Hydrol: Reg Stud 12:345\u2013362","journal-title":"J Hydrol: Reg Stud"},{"issue":"2","key":"872_CR52","doi-asserted-by":"publisher","first-page":"1080","DOI":"10.1080\/19475705.2017.1294113","volume":"8","author":"H Mojaddadi","year":"2017","unstructured":"Mojaddadi H, Pradhan B, Nampak H, Ahmad N, bin Ghazali AH (2017) Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS. Geomat Nat Haz Risk 8(2):1080\u20131102","journal-title":"Geomat Nat Haz Risk"},{"issue":"5","key":"872_CR53","first-page":"423","volume":"47","author":"ID Moore","year":"1992","unstructured":"Moore ID, Wilson JP (1992) Length-slope factors for the revised universal soil loss equation: simplified method of estimation. J Soil Water Conserv 47(5):423\u2013428","journal-title":"J Soil Water Conserv"},{"issue":"9","key":"872_CR54","doi-asserted-by":"publisher","first-page":"1264","DOI":"10.1016\/j.cageo.2010.10.012","volume":"37","author":"H-J Oh","year":"2011","unstructured":"Oh H-J, Pradhan B (2011) Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area. Comput Geosci 37(9):1264\u20131276","journal-title":"Comput Geosci"},{"issue":"9","key":"872_CR55","doi-asserted-by":"publisher","first-page":"393","DOI":"10.3390\/sym10090393","volume":"10","author":"D Pamu\u010dar","year":"2018","unstructured":"Pamu\u010dar D, Stevi\u0107 \u017d, Sremac S (2018) A new model for determining weight coefficients of criteria in mcdm models: full consistency method (fucom). Symmetry 10(9):393","journal-title":"Symmetry"},{"issue":"2","key":"872_CR56","doi-asserted-by":"publisher","first-page":"153","DOI":"10.31181\/dmame1802160p","volume":"1","author":"M Popovic","year":"2018","unstructured":"Popovic M, Kuzmanovi\u0107 M, Savi\u0107 G (2018) A comparative empirical study of analytic hierarchy process and conjoint analysis: literature review. Decis Mak Appl Manag Eng 1(2):153\u2013163","journal-title":"Decis Mak Appl Manag Eng"},{"key":"872_CR57","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.cageo.2013.10.011","volume":"63","author":"B Pradhan","year":"2014","unstructured":"Pradhan B, Hagemann U, Tehrany MS, Prechtel N (2014) An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image. Comput Geosci 63:34\u201343","journal-title":"Comput Geosci"},{"issue":"6","key":"872_CR58","doi-asserted-by":"publisher","first-page":"05014006","DOI":"10.1061\/(ASCE)CP.1943-5487.0000360","volume":"28","author":"A Radmehr","year":"2014","unstructured":"Radmehr A, Araghinejad S (2014) Developing strategies for urban flood management of Tehran city using SMCDM and ANN. J Comput Civ Eng 28(6):05014006","journal-title":"J Comput Civ Eng"},{"issue":"3","key":"872_CR59","doi-asserted-by":"publisher","first-page":"1000","DOI":"10.1080\/19475705.2015.1045043","volume":"7","author":"O Rahmati","year":"2016","unstructured":"Rahmati O, Zeinivand H, Besharat M (2016) Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis. Geomat Nat Haz Risk 7(3):1000\u20131017","journal-title":"Geomat Nat Haz Risk"},{"key":"872_CR60","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2019.124172","volume":"579","author":"HM Rizeei","year":"2019","unstructured":"Rizeei HM, Pradhan B, Saharkhiz MA, Lee S (2019) Groundwater aquifer potential modeling using an ensemble multi-adoptive boosting logistic regression technique. J Hydrol 579:124172","journal-title":"J Hydrol"},{"key":"872_CR61","doi-asserted-by":"crossref","unstructured":"Rosenblatt F (1961) Principles of neurodynamics. perceptrons and the theory of brain mechanisms. Cornell Aeronautical Lab Inc Buffalo NY","DOI":"10.21236\/AD0256582"},{"issue":"1","key":"872_CR62","first-page":"42","volume":"3","author":"SS Saini","year":"2012","unstructured":"Saini SS, Kaushik SP (2012) Risk and vulnerability assessment of flood hazard in part of Ghaggar Basin: a case study of Guhla block, Kaithal, Haryana, India. Int J Geomat Geosci 3(1):42\u201354","journal-title":"Int J Geomat Geosci"},{"issue":"1","key":"872_CR63","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s40808-018-0427-z","volume":"4","author":"RK Samanta","year":"2018","unstructured":"Samanta RK, Bhunia GS, Shit PK, Pourghasemi HR (2018) Flood susceptibility mapping using geospatial frequency ratio technique: a case study of Subarnarekha River Basin, India. Model Earth Syst Environ 4(1):395\u2013408","journal-title":"Model Earth Syst Environ"},{"key":"872_CR64","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.scitotenv.2019.02.328","volume":"667","author":"PP Santos","year":"2019","unstructured":"Santos PP, Reis E, Pereira S, Santos M (2019) A flood susceptibility model at the national scale based on multicriteria analysis. Sci Total Environ 667:325\u2013337","journal-title":"Sci Total Environ"},{"issue":"9","key":"872_CR65","doi-asserted-by":"publisher","first-page":"927","DOI":"10.1080\/10106049.2017.1316780","volume":"33","author":"S Siahkamari","year":"2018","unstructured":"Siahkamari S, Haghizadeh A, Zeinivand H, Tahmasebipour N, Rahmati O (2018) Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models. Geocarto Int 33(9):927\u2013941","journal-title":"Geocarto Int"},{"issue":"5","key":"872_CR66","doi-asserted-by":"publisher","first-page":"450","DOI":"10.7763\/IJMLC.2014.V4.453","volume":"4","author":"GP Siddayao","year":"2014","unstructured":"Siddayao GP, Valdez SE, Fernandez PL (2014) Analytic hierarchy process (AHP) in spatial modeling for floodplain risk assessment. Int J Mach Learn Comput 4(5):450","journal-title":"Int J Mach Learn Comput"},{"issue":"4","key":"872_CR67","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/s12524-008-0034-y","volume":"36","author":"R Sinha","year":"2008","unstructured":"Sinha R, Bapalu GV, Singh LK, Rath B (2008) Flood risk analysis in the Kosi river basin, north Bihar using multi-parametric approach of analytical hierarchy process (AHP). J Indian Soc Remote Sens 36(4):335\u2013349","journal-title":"J Indian Soc Remote Sens"},{"issue":"1","key":"872_CR68","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/S0169-7439(97)00061-0","volume":"39","author":"D Svozil","year":"1997","unstructured":"Svozil D, Kvasnicka V, Pospichal J (1997) Introduction to multi-layer feed-forward neural networks. Chemom Intell Lab Syst 39(1):43\u201362","journal-title":"Chemom Intell Lab Syst"},{"key":"872_CR69","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.ijinfomgt.2018.10.010","volume":"45","author":"A Taneja","year":"2019","unstructured":"Taneja A, Arora A (2019) Modeling user preferences using neural networks and tensor factorization model. Int J Inf Manage 45:132\u2013148","journal-title":"Int J Inf Manage"},{"key":"872_CR70","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.jhydrol.2018.01.033","volume":"558","author":"Z Tang","year":"2018","unstructured":"Tang Z, Zhang H, Yi S, Xiao Y (2018) Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis. J Hydrol 558:144\u2013158","journal-title":"J Hydrol"},{"key":"872_CR71","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.jhydrol.2013.09.034","volume":"504","author":"MS Tehrany","year":"2013","unstructured":"Tehrany MS, Pradhan B, Jebur MN (2013) Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. J Hydrol 504:69\u201379","journal-title":"J Hydrol"},{"key":"872_CR72","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1016\/j.jhydrol.2014.03.008","volume":"512","author":"MS Tehrany","year":"2014","unstructured":"Tehrany MS, Pradhan B, Jebur MN (2014) Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. J Hydrol 512:332\u2013343","journal-title":"J Hydrol"},{"key":"872_CR73","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1108\/IMDS-08-2014-0231","volume":"115","author":"A-C Teo","year":"2015","unstructured":"Teo A-C, Tan GW-H, Ooi K-B, Hew T-S, Yew K-T (2015) The effects of convenience and speed in m-payment. Ind Manag Data Syst 115:311\u2013331","journal-title":"Ind Manag Data Syst"},{"key":"872_CR74","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1016\/j.scitotenv.2017.09.262","volume":"615","author":"SVR Termeh","year":"2018","unstructured":"Termeh SVR, Kornejady A, Pourghasemi HR, Keesstra S (2018) Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms. Sci Total Environ 615:438\u2013451","journal-title":"Sci Total Environ"},{"issue":"1\u20134","key":"872_CR75","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/S0022-1694(00)00344-9","volume":"239","author":"E Toth","year":"2000","unstructured":"Toth E, Brath A, Montanari A (2000) Comparison of short-term rainfall prediction models for real-time flood forecasting. J Hydrol 239(1\u20134):132\u2013147","journal-title":"J Hydrol"},{"issue":"7","key":"872_CR76","doi-asserted-by":"publisher","first-page":"1046","DOI":"10.3390\/app8071046","volume":"8","author":"XL Truong","year":"2018","unstructured":"Truong XL, Mitamura M, Kono Y, Raghavan V, Yonezawa G, Truong XQ, Do TH, Tien Bui D, Lee S (2018) Enhancing prediction performance of landslide susceptibility model using hybrid machine learning approach of bagging ensemble and logistic model tree. Appl Sci 8(7):1046","journal-title":"Appl Sci"},{"key":"872_CR77","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The nature of statistical learning theory","author":"VN Vapnik","year":"1995","unstructured":"Vapnik VN (1995) The nature of statistical learning theory. Springer, Berlin"},{"key":"872_CR78","volume-title":"Flood forecasting using artificial neural networks","author":"P Varoonchotikul","year":"2003","unstructured":"Varoonchotikul P (2003) Flood forecasting using artificial neural networks. CRC Press, Boca Raton"},{"key":"872_CR79","unstructured":"Vojinovic Z, Abbott MB (2012)\u00a0Flood risk and social justice. IWA Publishing"},{"issue":"8","key":"872_CR80","doi-asserted-by":"publisher","first-page":"6874","DOI":"10.1002\/2013WR014639","volume":"50","author":"N Wanders","year":"2014","unstructured":"Wanders N, Bierkens MFP, de Jong SM, de Roo A, Karssenberg D (2014) The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models. Water Resour Res 50(8):6874\u20136891","journal-title":"Water Resour Res"},{"key":"872_CR81","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2019.124482","volume":"582","author":"Y Wang","year":"2020","unstructured":"Wang Y, Fang Z, Hong H, Peng L (2020) Flood susceptibility mapping using convolutional neural network frameworks. J Hydrol 582:124482","journal-title":"J Hydrol"},{"issue":"5","key":"872_CR82","doi-asserted-by":"publisher","first-page":"3730","DOI":"10.1002\/2016WR020055","volume":"53","author":"X Xia","year":"2017","unstructured":"Xia X, Liang Q, Ming X, Hou J (2017) An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations. Water Resour Res 53(5):3730\u20133759","journal-title":"Water Resour Res"},{"issue":"1","key":"872_CR83","first-page":"71","volume":"42","author":"S Yahaya","year":"2010","unstructured":"Yahaya S, Ahmad N, Abdalla RF (2010) Multicriteria analysis for flood vulnerable areas in Hadejia-Jama\u2019are River basin, Nigeria. Eur J Sci Res 42(1):71\u201383","journal-title":"Eur J Sci Res"},{"key":"872_CR84","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.geomorph.2017.12.034","volume":"304","author":"S Yousefi","year":"2018","unstructured":"Yousefi S, Mirzaee S, Keesstra S, Surian N, Pourghasemi HR, Zakizadeh HR, Tabibian S (2018) Effects of an extreme flood on river morphology (case study: Karoon River, Iran). Geomorphology 304:30\u201339","journal-title":"Geomorphology"},{"issue":"10","key":"872_CR85","doi-asserted-by":"publisher","first-page":"1566","DOI":"10.3390\/rs10101566","volume":"10","author":"S Zazo","year":"2018","unstructured":"Zazo S, Rodr\u00edguez-Gonz\u00e1lvez P, Molina J-L, Gonz\u00e1lez-Aguilera D, Agudelo-Ruiz CA, Hern\u00e1ndez-L\u00f3pez D (2018) Flood hazard assessment supported by reduced cost aerial precision photogrammetry. Remote Sens 10(10):1566","journal-title":"Remote Sens"},{"issue":"2","key":"872_CR86","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1007\/s11265-019-01508-y","volume":"93","author":"X Zenggang","year":"2021","unstructured":"Zenggang X, Zhiwen T, Xiaowen C, Xue-min Z, Kaibin Z, Conghuan Y (2021) Research on image retrieval algorithm based on combination of color and shape features. J Signal Process Syst 93(2):139\u2013146","journal-title":"J Signal Process Syst"},{"issue":"3\u20134","key":"872_CR87","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.jhydrol.2007.11.023","volume":"353","author":"Q Zhang","year":"2008","unstructured":"Zhang Q, Xu C-Y, Zhang Z, Chen YD, Liu C, Lin H (2008) Spatial and temporal variability of precipitation maxima during 1960\u20132005 in the Yangtze River basin and possible association with large-scale circulation. J Hydrol 353(3\u20134):215\u2013227","journal-title":"J Hydrol"},{"key":"872_CR88","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1016\/j.scitotenv.2017.10.037","volume":"615","author":"G Zhao","year":"2018","unstructured":"Zhao G, Pang B, Xu Z, Yue J, Tu T (2018) Mapping flood susceptibility in mountainous areas on a national scale in China. Sci Total Environ 615:1133\u20131142","journal-title":"Sci Total Environ"},{"key":"872_CR89","doi-asserted-by":"crossref","unstructured":"Zhu K (2007) Operator theory in function spaces (Issue 138). American Mathematical Soc","DOI":"10.1090\/surv\/138"}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-022-00872-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12145-022-00872-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-022-00872-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T22:35:41Z","timestamp":1668724541000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12145-022-00872-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,6]]},"references-count":89,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["872"],"URL":"https:\/\/doi.org\/10.1007\/s12145-022-00872-x","relation":{},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"value":"1865-0473","type":"print"},{"value":"1865-0481","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,6]]},"assertion":[{"value":"17 February 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 September 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 October 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}