{"id":"https://openalex.org/W4416249911","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227923","title":"Enhancing Flash Flood Forecasting and Understanding Hydrosystem Dynamics for Small Urban Basins in the framework of Explainable Artificial Intelligence\u2013 Case Study of the Cadereau d'Al\u00e8s, N\u00eemes","display_name":"Enhancing Flash Flood Forecasting and Understanding Hydrosystem Dynamics for Small Urban Basins in the framework of Explainable Artificial Intelligence\u2013 Case Study of the Cadereau d'Al\u00e8s, N\u00eemes","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416249911","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227923"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5013942734","display_name":"Youness Hrour","orcid":"https://orcid.org/0000-0002-8647-3073"},"institutions":[{"id":"https://openalex.org/I4210166444","display_name":"Institut de Recherche pour le D\u00e9veloppement","ror":"https://ror.org/05q3vnk25","country_code":"FR","type":"government","lineage":["https://openalex.org/I2802818602","https://openalex.org/I4210090127","https://openalex.org/I4210131494","https://openalex.org/I4210166444"]},{"id":"https://openalex.org/I4210127738","display_name":"IMT Mines Al\u00e8s","ror":"https://ror.org/03e8rf594","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127738"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Youness Hrour","raw_affiliation_strings":["Univ Montpellier, IMT Mines Ales, CNRS, IRD,HSM,France"],"affiliations":[{"raw_affiliation_string":"Univ Montpellier, IMT Mines Ales, CNRS, IRD,HSM,France","institution_ids":["https://openalex.org/I19894307","https://openalex.org/I1294671590","https://openalex.org/I4210166444","https://openalex.org/I205703379","https://openalex.org/I4210127738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065539578","display_name":"Guillaume Artigue","orcid":"https://orcid.org/0000-0002-4610-584X"},"institutions":[{"id":"https://openalex.org/I4210166444","display_name":"Institut de Recherche pour le D\u00e9veloppement","ror":"https://ror.org/05q3vnk25","country_code":"FR","type":"government","lineage":["https://openalex.org/I2802818602","https://openalex.org/I4210090127","https://openalex.org/I4210131494","https://openalex.org/I4210166444"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210127738","display_name":"IMT Mines Al\u00e8s","ror":"https://ror.org/03e8rf594","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127738"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guillaume Artigue","raw_affiliation_strings":["Univ Montpellier, IMT Mines Ales, CNRS, IRD,HSM,France"],"affiliations":[{"raw_affiliation_string":"Univ Montpellier, IMT Mines Ales, CNRS, IRD,HSM,France","institution_ids":["https://openalex.org/I19894307","https://openalex.org/I1294671590","https://openalex.org/I4210166444","https://openalex.org/I205703379","https://openalex.org/I4210127738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069406201","display_name":"Anne Johannet","orcid":"https://orcid.org/0000-0001-5717-9871"},"institutions":[{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210166444","display_name":"Institut de Recherche pour le D\u00e9veloppement","ror":"https://ror.org/05q3vnk25","country_code":"FR","type":"government","lineage":["https://openalex.org/I2802818602","https://openalex.org/I4210090127","https://openalex.org/I4210131494","https://openalex.org/I4210166444"]},{"id":"https://openalex.org/I4210127738","display_name":"IMT Mines Al\u00e8s","ror":"https://ror.org/03e8rf594","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127738"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anne Johannet","raw_affiliation_strings":["Univ Montpellier, IMT Mines Ales, CNRS, IRD,HSM,France"],"affiliations":[{"raw_affiliation_string":"Univ Montpellier, IMT Mines Ales, CNRS, IRD,HSM,France","institution_ids":["https://openalex.org/I19894307","https://openalex.org/I1294671590","https://openalex.org/I4210166444","https://openalex.org/I205703379","https://openalex.org/I4210127738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013942734"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I19894307","https://openalex.org/I205703379","https://openalex.org/I4210127738","https://openalex.org/I4210166444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31507174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.46939998865127563,"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"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.46939998865127563,"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"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.4505999982357025,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.020899999886751175,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/interpretability","display_name":"Interpretability","score":0.8503000140190125},{"id":"https://openalex.org/keywords/flash-flood","display_name":"Flash flood","score":0.836899995803833},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.5393000245094299},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5325000286102295},{"id":"https://openalex.org/keywords/flood-forecasting","display_name":"Flood forecasting","score":0.44020000100135803},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.421999990940094},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.39079999923706055}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8503000140190125},{"id":"https://openalex.org/C120417685","wikidata":"https://www.wikidata.org/wiki/Q860333","display_name":"Flash flood","level":3,"score":0.836899995803833},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.5393000245094299},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5340999960899353},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5325000286102295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48410001397132874},{"id":"https://openalex.org/C183195422","wikidata":"https://www.wikidata.org/wiki/Q3409303","display_name":"Flood forecasting","level":3,"score":0.44020000100135803},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.421999990940094},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.39079999923706055},{"id":"https://openalex.org/C126197015","wikidata":"https://www.wikidata.org/wiki/Q1586683","display_name":"Hydrological modelling","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.33000001311302185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3230000138282776},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.31679999828338623},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3057999908924103},{"id":"https://openalex.org/C2781468064","wikidata":"https://www.wikidata.org/wiki/Q1267117","display_name":"Lead time","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C107826830","wikidata":"https://www.wikidata.org/wiki/Q929380","display_name":"Environmental resource management","level":1,"score":0.2996000051498413},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C168754636","wikidata":"https://www.wikidata.org/wiki/Q620920","display_name":"Climate model","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C4646841","wikidata":"https://www.wikidata.org/wiki/Q13996","display_name":"Mediterranean climate","level":2,"score":0.263700008392334}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05476154v1","is_oa":false,"landing_page_url":"https://imt-mines-ales.hal.science/hal-05476154","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IJCNN 2025 - International Joint Conference on Neural Networks, Jun 2025, Rome, France. pp.1-8, &#x27E8;10.1109/IJCNN64981.2025.11227923&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W977415247","https://openalex.org/W1480676267","https://openalex.org/W1975608423","https://openalex.org/W1988970910","https://openalex.org/W1995565517","https://openalex.org/W2000439132","https://openalex.org/W2010019640","https://openalex.org/W2028571951","https://openalex.org/W2033904036","https://openalex.org/W2044225116","https://openalex.org/W2050063558","https://openalex.org/W2112081648","https://openalex.org/W2114112250","https://openalex.org/W2123006007","https://openalex.org/W2137983211","https://openalex.org/W2155482699","https://openalex.org/W2166116275","https://openalex.org/W2177959459","https://openalex.org/W2532304287","https://openalex.org/W2780268640","https://openalex.org/W2804665581","https://openalex.org/W2835842807","https://openalex.org/W2902596347","https://openalex.org/W2905485021","https://openalex.org/W2985119143","https://openalex.org/W3106975732","https://openalex.org/W3170401012","https://openalex.org/W4213139361","https://openalex.org/W4281632444","https://openalex.org/W4288491453","https://openalex.org/W4313472130","https://openalex.org/W4313891222","https://openalex.org/W4360604571","https://openalex.org/W4386791410","https://openalex.org/W4387742280","https://openalex.org/W4392003203","https://openalex.org/W4399331784","https://openalex.org/W4399994939","https://openalex.org/W4400400027"],"related_works":[],"abstract_inverted_index":{"Mediterranean":[0],"basins":[1],"are":[2,32],"particularly":[3,91],"exposed":[4],"to":[5,51,63,81,84,110,138,208],"flash":[6,112],"floods":[7,31,113],"caused":[8],"by":[9,21,34],"intense":[10],"rainfall.":[11],"N\u00eemes":[12,119],"city,":[13,120],"located":[14],"in":[15,114,118,150,211],"southern":[16],"France,":[17],"is":[18],"frequently":[19],"affected":[20],"these":[22,41],"events,":[23],"which":[24],"cause":[25],"significant":[26],"damage":[27],"and":[28,37,44,96,148,168,185],"casualties.":[29],"These":[30],"exacerbated":[33],"climate":[35],"change":[36],"rapid":[38],"urbanization.":[39],"Addressing":[40],"challenges,":[42],"decision-makers":[43],"managers":[45],"require":[46],"efficient":[47],"flood":[48,97],"forecasting":[49],"models":[50,60,207],"optimize":[52],"their":[53,82],"crisis":[54],"management":[55],"strategies.":[56],"However,":[57],"traditional":[58],"hydrological":[59,94],"often":[61],"struggle":[62],"accurately":[64],"predict":[65],"such":[66],"extreme":[67],"events.":[68],"In":[69,99],"this":[70,100],"context,":[71],"artificial":[72],"neural":[73],"networks":[74],"(ANNs)":[75],"provide":[76,183],"a":[77,102,129],"promising":[78],"alternative":[79],"due":[80],"ability":[83],"model":[85,103],"complex":[86],"nonlinear":[87],"dynamics,":[88],"making":[89],"them":[90],"suitable":[92],"for":[93],"modeling":[95],"forecasting.":[98],"study,":[101],"based":[104],"on":[105],"multilayer":[106],"perceptron":[107],"was":[108,136],"applied":[109],"simulate":[111],"the":[115,123,143,166,171,180,190,194,214,218],"Al\u00e8s":[116],"Cadereau":[117],"while":[121],"extending":[122],"lead":[124,160],"time.":[125],"The":[126,153],"KnoX":[127,181],"method,":[128,135,182],"Physics":[130],"Informed":[131],"Machine":[132],"Learning":[133],"(PIML)":[134],"employed":[137],"extract":[139],"internal":[140],"information":[141],"from":[142],"model,":[144],"enhancing":[145],"its":[146],"interpretability":[147],"acceptability":[149],"operational":[151],"contexts.":[152],"results":[154,210],"demonstrate":[155],"remarkable":[156],"performance":[157],"across":[158],"various":[159],"times,":[161],"with":[162,189,213],"criteria":[163],"values":[164],"indicating":[165],"reliability":[167],"accuracy":[169],"of":[170,175,193,217],"proposed":[172],"models.":[173],"Contributions":[174],"input":[176],"variables,":[177],"calculated":[178],"using":[179],"relevant":[184],"coherent":[186],"insights":[187],"consistent":[188],"physical":[191,215],"processes":[192,216],"modeled":[195],"basin.":[196,219],"This":[197],"approach":[198],"highlights":[199],"how":[200],"prior":[201],"knowledge":[202],"can":[203],"effectively":[204],"guide":[205],"ANN":[206],"produce":[209],"line":[212]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}
