{"id":"https://openalex.org/W4367368289","doi":"https://doi.org/10.1038/s41598-023-34316-3","title":"Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm","display_name":"Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm","publication_year":2023,"publication_date":"2023-04-29","ids":{"openalex":"https://openalex.org/W4367368289","doi":"https://doi.org/10.1038/s41598-023-34316-3","pmid":"https://pubmed.ncbi.nlm.nih.gov/37120698","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/10148819"},"language":"en","primary_location":{"id":"doi:10.1038/s41598-023-34316-3","doi":"https://doi.org/10.1038/s41598-023-34316-3","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-023-34316-3","pdf_url":"https://www.nature.com/articles/s41598-023-34316-3.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41598-023-34316-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074833810","display_name":"Fabio Di Nunno","orcid":"https://orcid.org/0000-0002-8411-574X","observed_orcids":["https://orcid.org/0000-0002-8411-574X"]},"institutions":[{"id":"https://openalex.org/I186995768","display_name":"Universit\u00e0 degli studi di Cassino e del Lazio Meridionale","ror":"https://ror.org/04nxkaq16","country_code":"IT","type":"education","lineage":["https://openalex.org/I186995768"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Di Nunno","raw_affiliation_strings":["Department of Civil and Mechanical Engineering (DICEM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043, Frosinone, Cassino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Mechanical Engineering (DICEM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043, Frosinone, Cassino, Italy","institution_ids":["https://openalex.org/I186995768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083391228","display_name":"Giovanni de Marinis","orcid":"https://orcid.org/0000-0003-0136-8918","observed_orcids":["https://orcid.org/0000-0003-0136-8918"]},"institutions":[{"id":"https://openalex.org/I186995768","display_name":"Universit\u00e0 degli studi di Cassino e del Lazio Meridionale","ror":"https://ror.org/04nxkaq16","country_code":"IT","type":"education","lineage":["https://openalex.org/I186995768"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni de Marinis","raw_affiliation_strings":["Department of Civil and Mechanical Engineering (DICEM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043, Frosinone, Cassino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Mechanical Engineering (DICEM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043, Frosinone, Cassino, Italy","institution_ids":["https://openalex.org/I186995768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087734807","display_name":"Francesco Granata","orcid":"https://orcid.org/0000-0002-2268-6600","observed_orcids":["https://orcid.org/0000-0002-2268-6600"]},"institutions":[{"id":"https://openalex.org/I186995768","display_name":"Universit\u00e0 degli studi di Cassino e del Lazio Meridionale","ror":"https://ror.org/04nxkaq16","country_code":"IT","type":"education","lineage":["https://openalex.org/I186995768"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco Granata","raw_affiliation_strings":["Department of Civil and Mechanical Engineering (DICEM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043, Frosinone, Cassino, Italy. f.granata@unicas.it","Department of Civil and Mechanical Engineering (DICEM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043, Frosinone, Cassino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Mechanical Engineering (DICEM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043, Frosinone, Cassino, Italy. f.granata@unicas.it","institution_ids":["https://openalex.org/I186995768"]},{"raw_affiliation_string":"Department of Civil and Mechanical Engineering (DICEM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043, Frosinone, Cassino, Italy","institution_ids":["https://openalex.org/I186995768"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087734807"],"corresponding_institution_ids":["https://openalex.org/I186995768"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":4.1236,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.95367619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":"1","first_page":"7036","last_page":"7036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":1.0,"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":1.0,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.0,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/short-term-streamflow-forecasting","display_name":"short-term streamflow forecasting","score":0.9240000247955322},{"id":"https://openalex.org/keywords/hybrid-ensemble-model","display_name":"hybrid ensemble model","score":0.8149999976158142},{"id":"https://openalex.org/keywords/narx-neural-network","display_name":"NARX neural network","score":0.6779999732971191},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9110000133514404},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":1.0},{"id":"https://openalex.org/keywords/forecast-horizon","display_name":"forecast horizon","score":0.7440000176429749},{"id":"https://openalex.org/keywords/small-watersheds","display_name":"small watersheds","score":0.6919999718666077},{"id":"https://openalex.org/keywords/water-resources-management","display_name":"water resources management","score":0.8180000185966492}],"concepts":[{"id":"https://openalex.org/C53739315","wikidata":"https://www.wikidata.org/wiki/Q29425295","display_name":"Streamflow","level":3,"score":0.7547741532325745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.734395444393158},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6860406398773193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6470023393630981},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6111283898353577},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5745887160301208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5203180313110352},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5110346078872681},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5077143907546997},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4242200255393982},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.42316004633903503},{"id":"https://openalex.org/C126645576","wikidata":"https://www.wikidata.org/wiki/Q166620","display_name":"Drainage basin","level":2,"score":0.14717790484428406},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09905153512954712},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1038/s41598-023-34316-3","doi":"https://doi.org/10.1038/s41598-023-34316-3","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-023-34316-3","pdf_url":"https://www.nature.com/articles/s41598-023-34316-3.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10148819","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10148819","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10148819/pdf/41598_2023_Article_34316.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sci Rep","raw_type":"Text"},{"id":"pmid:37120698","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37120698","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific reports","raw_type":"Journal Article"},{"id":"pmh:oai:iris.unicas.it:11580/98743","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11580/98743","pdf_url":"https://iris.unicas.it/bitstream/11580/98743/1/s41598-023-34316-3.pdf","source":{"id":"https://openalex.org/S7407055277","display_name":"Archivio Istituzionale della Ricerca - Universit\u00e0 degli Studi di Cassino","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:27138c4695c74a66abea2347a7e747b8","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/27138c4695c74a66abea2347a7e747b8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Reports, Vol 13, Iss 1, Pp 1-22 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1038/s41598-023-34316-3","doi":"https://doi.org/10.1038/s41598-023-34316-3","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-023-34316-3","pdf_url":"https://www.nature.com/articles/s41598-023-34316-3.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.821399986743927},{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.53329998254776}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367368289.pdf","grobid_xml":"https://content.openalex.org/works/W4367368289.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1983724666","https://openalex.org/W2008678369","https://openalex.org/W2012572451","https://openalex.org/W2059666149","https://openalex.org/W2091085232","https://openalex.org/W2122825543","https://openalex.org/W2149095431","https://openalex.org/W2177959459","https://openalex.org/W2222781497","https://openalex.org/W2606562683","https://openalex.org/W2742131558","https://openalex.org/W2768926974","https://openalex.org/W2791416295","https://openalex.org/W2911546748","https://openalex.org/W2911964244","https://openalex.org/W2967663220","https://openalex.org/W2972609102","https://openalex.org/W2981767849","https://openalex.org/W3007685425","https://openalex.org/W3049575128","https://openalex.org/W3083163751","https://openalex.org/W3089124767","https://openalex.org/W3120677173","https://openalex.org/W3154468772","https://openalex.org/W3155045454","https://openalex.org/W3158774913","https://openalex.org/W3161501844","https://openalex.org/W3162998285","https://openalex.org/W3166587882","https://openalex.org/W3173235060","https://openalex.org/W3185676196","https://openalex.org/W4210490767","https://openalex.org/W4211152585","https://openalex.org/W4214905925","https://openalex.org/W4220756912","https://openalex.org/W4224869643","https://openalex.org/W4226212353","https://openalex.org/W4233045210","https://openalex.org/W4283164766","https://openalex.org/W4296203611"],"related_works":["https://openalex.org/W4390414890","https://openalex.org/W3186689852","https://openalex.org/W4382810451","https://openalex.org/W4400605578","https://openalex.org/W4392581422","https://openalex.org/W3161501844","https://openalex.org/W4411161761","https://openalex.org/W4376126848","https://openalex.org/W7221688925","https://openalex.org/W4399992242"],"abstract_inverted_index":{"Abstract":[0],"In":[1,108],"recent":[2],"years,":[3],"the":[4,16,43,50,68,75,97,110,114,123,140,152,166,178,181,189,207,213],"growing":[5],"impact":[6],"of":[7,20,29,45,133,157],"climate":[8],"change":[9],"on":[10,42,130,139],"surface":[11],"water":[12,30],"bodies":[13],"has":[14,195],"made":[15],"analysis":[17],"and":[18,27,57,64,79,105,138,174],"forecasting":[19,184,208],"streamflow":[21,70,182],"rates":[22],"essential":[23],"for":[24,67,162,169,221],"proper":[25],"planning":[26],"management":[28],"resources.":[31],"This":[32],"study":[33,90],"proposes":[34],"a":[35,46,80,185],"novel":[36],"ensemble":[37,115,132],"(or":[38],"hybrid)":[39],"model,":[40],"based":[41,129],"combination":[44],"Deep":[47,142],"Learning":[48,60,118,136,143,149,193],"algorithm,":[49],"Nonlinear":[51],"AutoRegressive":[52],"network":[53],"with":[54,113,122,126,155,165],"eXogenous":[55],"inputs,":[56],"two":[58],"Machine":[59,116,135,147,191],"algorithms,":[61],"Multilayer":[62],"Perceptron":[63],"Random":[65],"Forest,":[66],"short-term":[69],"forecasting,":[71],"considering":[72,93],"precipitation":[73],"as":[74,206],"only":[76,141],"exogenous":[77],"input":[78],"forecast":[81],"horizon":[82,209],"up":[83],"to":[84,198,212,217],"7":[85],"days.":[86],"A":[87],"large":[88],"regional":[89],"was":[91],"performed,":[92],"18":[94],"watercourses":[95],"throughout":[96,177],"United":[98],"Kingdom,":[99],"characterized":[100],"by":[101,202],"different":[102],"catchment":[103],"areas":[104],"flow":[106],"regimes.":[107],"particular,":[109],"predictions":[111,219],"obtained":[112],"Learning-Deep":[117,148,192],"model":[119,150,194],"were":[120],"compared":[121,211],"ones":[124],"achieved":[125],"simpler":[127,153,214],"models":[128],"an":[131],"both":[134],"algorithms":[137],"algorithm.":[144],"The":[145],"hybrid":[146,190],"outperformed":[151],"models,":[154,215],"values":[156],"R":[158],"2":[159],"above":[160],"0.9":[161],"several":[163],"watercourses,":[164],"greatest":[167],"discrepancies":[168],"small":[170],"basins,":[171],"where":[172],"high":[173],"non-uniform":[175],"rainfall":[176],"year":[179],"makes":[180],"rate":[183],"challenging":[186],"task.":[187],"Furthermore,":[188],"been":[196],"shown":[197],"be":[199],"less":[200],"affected":[201],"reductions":[203],"in":[204],"performance":[205],"increases":[210],"leading":[216],"reliable":[218],"even":[220],"7-day":[222],"forecasts.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":9}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-04-30T00:00:00"}