{"id":"https://openalex.org/W4401112418","doi":"https://doi.org/10.3390/info15080448","title":"Testing the Feasibility of an Agent-Based Model for Hydrologic Flow Simulation","display_name":"Testing the Feasibility of an Agent-Based Model for Hydrologic Flow Simulation","publication_year":2024,"publication_date":"2024-07-30","ids":{"openalex":"https://openalex.org/W4401112418","doi":"https://doi.org/10.3390/info15080448"},"language":"en","primary_location":{"id":"doi:10.3390/info15080448","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15080448","pdf_url":"https://www.mdpi.com/2078-2489/15/8/448/pdf?version=1723105922","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/15/8/448/pdf?version=1723105922","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059241525","display_name":"Jose Simmonds","orcid":null},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Simmonds","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Legan\u00e9s, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076558615","display_name":"Juan Antonio G\u00f3mez","orcid":"https://orcid.org/0000-0002-9320-1674"},"institutions":[{"id":"https://openalex.org/I106845459","display_name":"Universidad de Panam\u00e1","ror":"https://ror.org/0070j0q91","country_code":"PA","type":"education","lineage":["https://openalex.org/I106845459"]}],"countries":["PA"],"is_corresponding":false,"raw_author_name":"Juan Antonio G\u00f3mez","raw_affiliation_strings":["Departamento de Biolog\u00eda Marina, Universidad de Panam\u00e1, Estafeta Universitaria, Panam\u00e1 4 P.O. Box 3366, Panama"],"affiliations":[{"raw_affiliation_string":"Departamento de Biolog\u00eda Marina, Universidad de Panam\u00e1, Estafeta Universitaria, Panam\u00e1 4 P.O. Box 3366, Panama","institution_ids":["https://openalex.org/I106845459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059348719","display_name":"Agapito Ledezma","orcid":"https://orcid.org/0000-0002-0041-6829"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Agapito Ledezma","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Legan\u00e9s, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059348719"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.4403,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60983077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"15","issue":"8","first_page":"448","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9991999864578247,"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":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/streamflow","display_name":"Streamflow","score":0.9085218906402588},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6838687062263489},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.6433413028717041},{"id":"https://openalex.org/keywords/flood-forecasting","display_name":"Flood forecasting","score":0.5981734991073608},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.552466869354248},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.4982600212097168},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.49280837178230286},{"id":"https://openalex.org/keywords/hydrological-modelling","display_name":"Hydrological modelling","score":0.47997522354125977},{"id":"https://openalex.org/keywords/hydrology","display_name":"Hydrology (agriculture)","score":0.47453391551971436},{"id":"https://openalex.org/keywords/coefficient-of-determination","display_name":"Coefficient of determination","score":0.44325774908065796},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4419180750846863},{"id":"https://openalex.org/keywords/drainage-basin","display_name":"Drainage basin","score":0.37737011909484863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3633089065551758},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.30893370509147644},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.221515953540802},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18507644534111023},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.15759971737861633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12029087543487549},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1139984130859375},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.08348548412322998},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0770578384399414}],"concepts":[{"id":"https://openalex.org/C53739315","wikidata":"https://www.wikidata.org/wiki/Q29425295","display_name":"Streamflow","level":3,"score":0.9085218906402588},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6838687062263489},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.6433413028717041},{"id":"https://openalex.org/C183195422","wikidata":"https://www.wikidata.org/wiki/Q3409303","display_name":"Flood forecasting","level":3,"score":0.5981734991073608},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.552466869354248},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.4982600212097168},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.49280837178230286},{"id":"https://openalex.org/C126197015","wikidata":"https://www.wikidata.org/wiki/Q1586683","display_name":"Hydrological modelling","level":2,"score":0.47997522354125977},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.47453391551971436},{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.44325774908065796},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4419180750846863},{"id":"https://openalex.org/C126645576","wikidata":"https://www.wikidata.org/wiki/Q166620","display_name":"Drainage basin","level":2,"score":0.37737011909484863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3633089065551758},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.30893370509147644},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.221515953540802},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18507644534111023},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.15759971737861633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12029087543487549},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1139984130859375},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.08348548412322998},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0770578384399414},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info15080448","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15080448","pdf_url":"https://www.mdpi.com/2078-2489/15/8/448/pdf?version=1723105922","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4730cce5525245b5acfeb87bf774da51","is_oa":true,"landing_page_url":"https://doaj.org/article/4730cce5525245b5acfeb87bf774da51","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 15, Iss 8, p 448 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info15080448","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15080448","pdf_url":"https://www.mdpi.com/2078-2489/15/8/448/pdf?version=1723105922","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401112418.pdf"},"referenced_works_count":99,"referenced_works":["https://openalex.org/W129979425","https://openalex.org/W139237068","https://openalex.org/W184917150","https://openalex.org/W187234293","https://openalex.org/W264722012","https://openalex.org/W318203129","https://openalex.org/W596108739","https://openalex.org/W1501356985","https://openalex.org/W1524870477","https://openalex.org/W1528048877","https://openalex.org/W1537066827","https://openalex.org/W1561914581","https://openalex.org/W1571506409","https://openalex.org/W1572188237","https://openalex.org/W1585789009","https://openalex.org/W1654805921","https://openalex.org/W1750045059","https://openalex.org/W1794508942","https://openalex.org/W1900340636","https://openalex.org/W1933477417","https://openalex.org/W1973663667","https://openalex.org/W1977675500","https://openalex.org/W1977828678","https://openalex.org/W1991524991","https://openalex.org/W2005092889","https://openalex.org/W2022175763","https://openalex.org/W2031522732","https://openalex.org/W2046795819","https://openalex.org/W2048405079","https://openalex.org/W2058773721","https://openalex.org/W2064972007","https://openalex.org/W2070059127","https://openalex.org/W2070521271","https://openalex.org/W2080091258","https://openalex.org/W2085588150","https://openalex.org/W2089456091","https://openalex.org/W2094954761","https://openalex.org/W2096880941","https://openalex.org/W2100060188","https://openalex.org/W2100358124","https://openalex.org/W2104818169","https://openalex.org/W2120838110","https://openalex.org/W2124957697","https://openalex.org/W2130836428","https://openalex.org/W2143136251","https://openalex.org/W2155051525","https://openalex.org/W2158335518","https://openalex.org/W2230519756","https://openalex.org/W2257728140","https://openalex.org/W2319972658","https://openalex.org/W2398557131","https://openalex.org/W2557629580","https://openalex.org/W2567728145","https://openalex.org/W2608508392","https://openalex.org/W2609150059","https://openalex.org/W2733526767","https://openalex.org/W2741846821","https://openalex.org/W2753064080","https://openalex.org/W2765692959","https://openalex.org/W2772453098","https://openalex.org/W2784344721","https://openalex.org/W2785049499","https://openalex.org/W2790556195","https://openalex.org/W2892049703","https://openalex.org/W2905771342","https://openalex.org/W2966752525","https://openalex.org/W2978309741","https://openalex.org/W2981795271","https://openalex.org/W2982096660","https://openalex.org/W2982906618","https://openalex.org/W2983984239","https://openalex.org/W2985688477","https://openalex.org/W3006437702","https://openalex.org/W3011439212","https://openalex.org/W3022804788","https://openalex.org/W3037786853","https://openalex.org/W3046452166","https://openalex.org/W3122310018","https://openalex.org/W3126451134","https://openalex.org/W3127065574","https://openalex.org/W3145638023","https://openalex.org/W3186918226","https://openalex.org/W3197791394","https://openalex.org/W3212805941","https://openalex.org/W4206411433","https://openalex.org/W4220976014","https://openalex.org/W4229744474","https://openalex.org/W4236739604","https://openalex.org/W4252223213","https://openalex.org/W4298826872","https://openalex.org/W4365448422","https://openalex.org/W6605370905","https://openalex.org/W6617847054","https://openalex.org/W6628804776","https://openalex.org/W6631438501","https://openalex.org/W6695444710","https://openalex.org/W6741337745","https://openalex.org/W6747913231","https://openalex.org/W6878223038"],"related_works":["https://openalex.org/W4320013113","https://openalex.org/W2050590406","https://openalex.org/W3039446713","https://openalex.org/W4285732890","https://openalex.org/W3205194988","https://openalex.org/W4385317904","https://openalex.org/W4386099766","https://openalex.org/W2000979301","https://openalex.org/W2895629403","https://openalex.org/W4384393200"],"abstract_inverted_index":{"Modeling":[0],"streamflow":[1,37,143,168],"is":[2],"essential":[3],"for":[4,166],"understanding":[5],"flow":[6],"inundation.":[7],"Traditionally,":[8],"this":[9,176],"involves":[10],"hydrologic":[11,47],"and":[12,29,38,44,54,60,79,108,142,147,152,160,169,182,191],"numerical":[13],"models.":[14],"This":[15,154],"research":[16],"introduces":[17],"a":[18,163],"framework":[19,177],"using":[20,92,139],"agent-based":[21],"modeling":[22,27],"(ABM)":[23],"combined":[24,157],"with":[25,41,123,158],"data-driven":[26],"(DDM)":[28],"Artificial":[30],"Intelligence":[31],"(AI).":[32],"An":[33],"agent-driven":[34],"model":[35],"simulates":[36],"its":[39],"interactions":[40],"river":[42,180],"courses":[43],"surroundings,":[45],"considering":[46],"phenomena":[48],"related":[49],"to":[50,84,178,187],"precipitation,":[51,76],"water":[52,65,77],"level,":[53,78],"discharge":[55,80,113,119,127],"as":[56,58],"well":[57],"channel":[59],"basin":[61],"characteristics":[62],"causing":[63],"increased":[64],"levels":[66],"in":[67,111,136],"the":[68,124,189],"Medio":[69],"River.":[70],"A":[71],"five-year":[72],"dataset":[73],"of":[74,100,193],"hourly":[75],"measurements":[81],"was":[82,90,121],"used":[83],"simulate":[85],"streamflow.":[86],"The":[87,115,132],"model\u2019s":[88],"accuracy":[89,190],"evaluated":[91],"statistical":[93],"metrics":[94],"like":[95],"correlation":[96],"coefficient":[97,99],"(r),":[98],"determination":[101],"(R2),":[102],"root":[103],"mean":[104],"squared":[105],"error":[106,110],"(RMSE),":[107],"percentage":[109],"peak":[112,118,126],"(Qpk).":[114],"ABM\u2019s":[116],"simulated":[117],"(Qpk)":[120],"compared":[122],"measured":[125],"across":[128],"four":[129],"experimental":[130],"scenarios.":[131],"best":[133],"simulations":[134],"occurred":[135],"scenario":[137],"3,":[138],"only":[140],"rainfall":[141],"data.":[144],"Data":[145],"management":[146],"visualization":[148],"facilitated":[149],"input,":[150],"output,":[151],"analysis.":[153],"study\u2019s":[155],"ABM":[156],"DDM":[159],"AI":[161],"offers":[162],"novel":[164],"approach":[165],"simulating":[167],"predicting":[170],"floods.":[171],"Future":[172],"studies":[173],"could":[174],"extend":[175],"other":[179],"basins":[181],"incorporate":[183],"advanced":[184],"sensor":[185],"data":[186],"enhance":[188],"responsiveness":[192],"flood":[194],"forecasting.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
