{"id":"https://openalex.org/W4281558643","doi":"https://doi.org/10.1080/10106049.2022.2082558","title":"Stacking state-of-the-art ensemble for flash-flood potential assessment","display_name":"Stacking state-of-the-art ensemble for flash-flood potential assessment","publication_year":2022,"publication_date":"2022-05-26","ids":{"openalex":"https://openalex.org/W4281558643","doi":"https://doi.org/10.1080/10106049.2022.2082558"},"language":"en","primary_location":{"id":"doi:10.1080/10106049.2022.2082558","doi":"https://doi.org/10.1080/10106049.2022.2082558","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10106049.2022.2082558","pdf_url":null,"source":{"id":"https://openalex.org/S106004775","display_name":"Geocarto International","issn_l":"1010-6049","issn":["1010-6049","1752-0762"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-b","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geocarto International","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066655516","display_name":"Romulus Dumitru Costache","orcid":"https://orcid.org/0000-0002-6876-8572","observed_orcids":["https://orcid.org/0000-0002-6876-8572"]},"institutions":[{"id":"https://openalex.org/I3123573182","display_name":"Transilvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]},{"id":"https://openalex.org/I4210093479","display_name":"Danube Delta National Institute for Research and Development","ror":"https://ror.org/00hdnr317","country_code":"RO","type":"facility","lineage":["https://openalex.org/I4210093479","https://openalex.org/I4210099968"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Romulus Costache","raw_affiliation_strings":["Danube Delta National Institute for Research and Development, Tulcea, Romania","Department of Civil Engineering, Transilvania University of Brasov, Brasov, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Danube Delta National Institute for Research and Development, Tulcea, Romania","institution_ids":["https://openalex.org/I4210093479"]},{"raw_affiliation_string":"Department of Civil Engineering, Transilvania University of Brasov, Brasov, Romania","institution_ids":["https://openalex.org/I3123573182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029113469","display_name":"Tran Trung Tin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tran Trung Tin","raw_affiliation_strings":["Department of Information Technology, FPT University, Danang, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, FPT University, Danang, Vietnam","institution_ids":["https://openalex.org/I109689652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063208791","display_name":"Alireza Arabameri","orcid":"https://orcid.org/0000-0002-1142-1666","observed_orcids":["https://orcid.org/0000-0002-1142-1666"]},"institutions":[{"id":"https://openalex.org/I1516879","display_name":"Tarbiat Modares University","ror":"https://ror.org/03mwgfy56","country_code":"IR","type":"education","lineage":["https://openalex.org/I1516879"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Alireza Arabameri","raw_affiliation_strings":["Department of Geomorphology, Tarbiat Modares University, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0002-1142-1666","affiliations":[{"raw_affiliation_string":"Department of Geomorphology, Tarbiat Modares University, Tehran, Iran","institution_ids":["https://openalex.org/I1516879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013374587","display_name":"Anca Cr\u0103ciun","orcid":"https://orcid.org/0000-0003-1113-906X","observed_orcids":["https://orcid.org/0000-0003-1113-906X"]},"institutions":[{"id":"https://openalex.org/I4210093479","display_name":"Danube Delta National Institute for Research and Development","ror":"https://ror.org/00hdnr317","country_code":"RO","type":"facility","lineage":["https://openalex.org/I4210093479","https://openalex.org/I4210099968"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Anca Cr\u0103ciun","raw_affiliation_strings":["Danube Delta National Institute for Research and Development, Tulcea, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Danube Delta National Institute for Research and Development, Tulcea, Romania","institution_ids":["https://openalex.org/I4210093479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085750727","display_name":"Iulia Costache","orcid":"https://orcid.org/0000-0002-1779-8173","observed_orcids":["https://orcid.org/0000-0002-1779-8173"]},"institutions":[{"id":"https://openalex.org/I141595442","display_name":"University of Bucharest","ror":"https://ror.org/02x2v6p15","country_code":"RO","type":"education","lineage":["https://openalex.org/I141595442"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Iulia Costache","raw_affiliation_strings":["Faculty of Geography, University of Bucharest, Bucharest, Romania"],"raw_orcid":"https://orcid.org/0000-0002-1779-8173","affiliations":[{"raw_affiliation_string":"Faculty of Geography, University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I141595442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038855458","display_name":"Abu Reza Md. Towfiqul Islam","orcid":"https://orcid.org/0000-0001-5779-1382","observed_orcids":["https://orcid.org/0000-0001-5779-1382"]},"institutions":[{"id":"https://openalex.org/I168889406","display_name":"Begum Rokeya University","ror":"https://ror.org/00hhr3x36","country_code":"BD","type":"education","lineage":["https://openalex.org/I168889406"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Abu Reza Md. Towfiqul Islam","raw_affiliation_strings":["Department of Disaster Management, Begum Rokeya University, Rangpur, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0001-5779-1382","affiliations":[{"raw_affiliation_string":"Department of Disaster Management, Begum Rokeya University, Rangpur, Bangladesh","institution_ids":["https://openalex.org/I168889406"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000729733","display_name":"Mehebub Sahana","orcid":"https://orcid.org/0000-0002-3166-5916","observed_orcids":["https://orcid.org/0000-0002-3166-5916"]},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mehebub Sahana","raw_affiliation_strings":["Department of Geography, University of Manchester, Manchester, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Manchester, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029814958","display_name":"Binh Thai Pham","orcid":"https://orcid.org/0000-0001-9707-840X","observed_orcids":["https://orcid.org/0000-0001-9707-840X"]},"institutions":[{"id":"https://openalex.org/I4210138918","display_name":"University Of Transport Technology","ror":"https://ror.org/04dp8y877","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210138918"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Binh Thai Pham","raw_affiliation_strings":["Geotechnical Engineering and Artificial Intelligence research group (GEOAI), University of Transport Technology, Thanh Xuan, Ha Noi, Viet Nam"],"raw_orcid":"https://orcid.org/0000-0001-9707-840X","affiliations":[{"raw_affiliation_string":"Geotechnical Engineering and Artificial Intelligence research group (GEOAI), University of Transport Technology, Thanh Xuan, Ha Noi, Viet Nam","institution_ids":["https://openalex.org/I4210138918"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5013374587"],"corresponding_institution_ids":["https://openalex.org/I4210093479"],"apc_list":{"value":3265,"currency":"AUD","value_usd":2390},"apc_paid":null,"fwci":1.1283,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.74257129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"37","issue":"26","first_page":"13812","last_page":"13838"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.04439999908208847,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12543","display_name":"Groundwater and Watershed Analysis","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stacking-ensemble","display_name":"stacking ensemble","score":0.9309999942779541},{"id":"https://openalex.org/keywords/entropy-index","display_name":"entropy index","score":0.8579999804496765},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.7310000061988831},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9660000205039978},{"id":"https://openalex.org/keywords/classification-and-regression-trees","display_name":"classification and regression trees","score":0.9760000109672546},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.9750000238418579},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.996999979019165},{"id":"https://openalex.org/keywords/flood-risk-assessment","display_name":"flood risk assessment","score":0.5149999856948853},{"id":"https://openalex.org/keywords/flood-management","display_name":"flood management","score":0.6880000233650208},{"id":"https://openalex.org/keywords/flood-warning-systems","display_name":"flood warning systems","score":0.5649999976158142}],"concepts":[{"id":"https://openalex.org/C120417685","wikidata":"https://www.wikidata.org/wiki/Q860333","display_name":"Flash flood","level":3,"score":0.8564742207527161},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6079061627388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6037657260894775},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5934707522392273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5923700332641602},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.5764073729515076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5216396450996399},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4943208694458008},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.47189268469810486},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45230841636657715},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.43690356612205505},{"id":"https://openalex.org/C2776898743","wikidata":"https://www.wikidata.org/wiki/Q18353408","display_name":"Topographic Wetness Index","level":3,"score":0.4310915470123291},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.41613033413887024},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25462445616722107},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.16734367609024048},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.10377353429794312},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10106049.2022.2082558","doi":"https://doi.org/10.1080/10106049.2022.2082558","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10106049.2022.2082558","pdf_url":null,"source":{"id":"https://openalex.org/S106004775","display_name":"Geocarto International","issn_l":"1010-6049","issn":["1010-6049","1752-0762"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-b","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geocarto International","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5142999887466431,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1899605158","https://openalex.org/W1975914988","https://openalex.org/W1994732212","https://openalex.org/W2120630093","https://openalex.org/W2137034166","https://openalex.org/W2155653793","https://openalex.org/W2172006581","https://openalex.org/W2478414316","https://openalex.org/W2521812267","https://openalex.org/W2606129170","https://openalex.org/W2626788333","https://openalex.org/W2784967614","https://openalex.org/W2791328889","https://openalex.org/W2800522465","https://openalex.org/W2811032661","https://openalex.org/W2895196240","https://openalex.org/W2899026392","https://openalex.org/W2899803585","https://openalex.org/W2900523267","https://openalex.org/W2907566391","https://openalex.org/W2922019787","https://openalex.org/W2958711105","https://openalex.org/W2959688306","https://openalex.org/W2964859382","https://openalex.org/W2973053290","https://openalex.org/W2975358916","https://openalex.org/W2988896190","https://openalex.org/W2989690038","https://openalex.org/W2989700724","https://openalex.org/W2994660704","https://openalex.org/W2998297225","https://openalex.org/W2998999740","https://openalex.org/W3006114317","https://openalex.org/W3010479350","https://openalex.org/W3025439369","https://openalex.org/W3034541266","https://openalex.org/W3035785884","https://openalex.org/W3036595569","https://openalex.org/W3048827138","https://openalex.org/W3087192809","https://openalex.org/W3091948139","https://openalex.org/W3109476332","https://openalex.org/W3111588349","https://openalex.org/W3165728248","https://openalex.org/W3177290406","https://openalex.org/W3177743915","https://openalex.org/W4213099485"],"related_works":["https://openalex.org/W3177483242","https://openalex.org/W2979804492","https://openalex.org/W2998999740","https://openalex.org/W4283317975","https://openalex.org/W4288757776","https://openalex.org/W3120702290","https://openalex.org/W2907566391","https://openalex.org/W4200608139","https://openalex.org/W3165242962","https://openalex.org/W3211092256"],"abstract_inverted_index":{"It":[0,217],"is":[1,59,218,268],"clear":[2],"that":[3,37,221,259,289],"flash":[4,15,65,133],"flood":[5,66,73,85,307,315],"events":[6],"are":[7],"on":[8],"the":[9,12,27,45,51,137,143,147,178,190,209,215,223,226,231,246,280,294],"rise,":[10],"and":[11,109,119,151,167,187,200,212,237,262,272,296],"detection":[13],"of":[14,53,93,145,233,253,264],"flood-prone":[16],"areas":[17],"has":[18],"now":[19],"become":[20],"a":[21,128,250,278,301,314],"top":[22],"priority":[23],"for":[24,132],"governments":[25],"throughout":[26],"world.":[28],"Flash-flood":[29],"potential":[30],"mapping":[31,135],"can":[32,38,69,78,290],"provide":[33],"very":[34,273],"useful":[35],"information":[36],"be":[39,79],"used":[40,80,125,175],"in":[41,61,136,205,222,299,309],"order":[42,62,183,206],"to":[43,49,63,71,81,126,176,184,207,305],"adopt":[44],"most":[46],"appropriate":[47],"measures":[48,202],"reduce":[50,306],"risk":[52],"these":[54],"phenomena.":[55],"A":[56],"precise":[57],"model":[58,210],"needed":[60],"predict":[64],"potential,":[67],"which":[68],"help":[70],"improve":[72],"management":[74,86],"strategies,":[75],"as":[76],"it":[77],"develop":[82],"more":[83],"effective":[84],"methods.":[87],"In":[88,182],"this":[89,284],"present":[90],"research,":[91],"Index":[92],"Entropy":[94],"(IOE),":[95],"Logistic":[96],"Regression":[97,110],"(LR),":[98],"four":[99],"machine":[100,235],"learning":[101,236,239],"models":[102,240,248,256],"(,":[103],"Support":[104],"Vector":[105],"Machine":[106],"(SVM),":[107],"Classification":[108],"Tree":[111],"(CART),":[112],"Naive":[113],"Bayes":[114],"(NB),":[115],"k-Nearest":[116],"Neighbour":[117],"(k-NN))":[118],"their":[120,310],"5":[121],"stacking":[122,227],"ensembles":[123],"were":[124,174,203],"construct":[127],"new":[129],"GIS-based":[130],"framework":[131],"flood-potential":[134],"Suha":[138,265],"River":[139],"Basin,":[140],"Romania.":[141],"For":[142],"purposes":[144],"running":[146],"models,":[148],"8":[149],"topographical":[150],"environmental":[152],"factors":[153],"(slope,":[154],"land":[155],"use,":[156],"plan":[157,304],"curvature,":[158,160],"profile":[159],"convergence":[161],"index,":[162],"aspect,":[163],"hydrological":[164],"soil":[165],"groups":[166],"tpi),":[168],"along":[169],"with":[170,249],"111":[171],"torrential":[172],"locations":[173],"run":[177],"five":[179],"applied":[180],"models.":[181],"facilitate":[185],"training":[186,224],"validation":[188],"purposes,":[189],"entire":[191],"dataset":[192],"was":[193,242],"divided":[194],"into":[195],"70:30":[196],"parts.":[197],"ROC":[198],"Curve":[199],"statistical":[201,238],"employed":[204],"verify":[208],"reliability":[211],"also":[213],"validate":[214],"results.":[216],"noteworthy":[219],"here":[220],"procedure,":[225],"ensemble":[228],"constructed":[229],"through":[230],"combination":[232],"all":[234,245],"(LCkNS)":[241],"better":[243],"than":[244],"other":[247],"maximum":[251],"accuracy":[252],"0.972.":[254],"The":[255],"used,":[257],"revealed":[258],"between":[260],"10%":[261],"22%":[263],"river":[266],"basin":[267],"occupied":[269],"by":[270,283,312],"high":[271,274],"flash-flood":[275],"potential.":[276],"As":[277],"result,":[279],"data":[281],"generated":[282],"research":[285],"provides":[286],"reliable":[287],"results":[288],"assist":[291],"policymakers":[292],"at":[293],"local":[295],"national":[297],"levels":[298],"developing":[300],"concrete":[302],"strategic":[303],"frequency":[308],"area":[311],"utilizing":[313],"warning":[316],"system.":[317]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-05-27T00:00:00"}
