{"id":"https://openalex.org/W6986574143","doi":null,"title":"Previs\u00e3o em tempo atual de n\u00edveis fluviais com redes neurais artificiais : aplica\u00e7\u00e3o \u00e0 bacia do Rio Taquari-Antas/RS","display_name":"Previs\u00e3o em tempo atual de n\u00edveis fluviais com redes neurais artificiais : aplica\u00e7\u00e3o \u00e0 bacia do Rio Taquari-Antas/RS","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W6986574143"},"language":"pt","primary_location":{"id":"pmh:oai:www.lume.ufrgs.br:10183/213406","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10183/213406","pdf_url":"http://hdl.handle.net/10183/213406","source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"instacron:UFRGS","raw_type":"info:eu-repo/semantics/masterThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10183/213406","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054151950","display_name":"Juliano Santos Finck","orcid":"https://orcid.org/0000-0002-4045-8388","observed_orcids":["https://orcid.org/0000-0002-4045-8388"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Finck, Juliano Santos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5054151950"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"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/T10320","display_name":"Neural Networks and Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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"}}],"keywords":[{"id":"https://openalex.org/keywords/river-level-forecasting","display_name":"river level forecasting","score":0.7710000276565552},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8180000185966492},{"id":"https://openalex.org/keywords/flood-early-warning-systems","display_name":"flood early warning systems","score":0.7319999933242798},{"id":"https://openalex.org/keywords/rainfall-runoff","display_name":"rainfall-runoff","score":0.44699999690055847},{"id":"https://openalex.org/keywords/moving-average-filter","display_name":"moving average filter","score":0.8259999752044678},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.46399998664855957},{"id":"https://openalex.org/keywords/telemetry-monitoring","display_name":"telemetry monitoring","score":0.37299999594688416},{"id":"https://openalex.org/keywords/flood-control","display_name":"flood control","score":0.3449999988079071},{"id":"https://openalex.org/keywords/civil-protection","display_name":"civil protection","score":0.39100000262260437},{"id":"https://openalex.org/keywords/nash-sutcliffe-efficiency","display_name":"Nash-Sutcliffe efficiency","score":0.6000000238418579},{"id":"https://openalex.org/keywords/2017-floods","display_name":"2017 floods","score":0.49300000071525574},{"id":"https://openalex.org/keywords/2019-floods","display_name":"2019 floods","score":0.6759999990463257},{"id":"https://openalex.org/keywords/2020-floods","display_name":"2020 floods","score":0.6570000052452087}],"concepts":[{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.5651000142097473},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.5004000067710876},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.39969998598098755},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17170000076293945},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.16210000216960907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.16189999878406525},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.15230000019073486},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.14169999957084656},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.13899999856948853}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:www.lume.ufrgs.br:10183/213406","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10183/213406","pdf_url":"http://hdl.handle.net/10183/213406","source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"instacron:UFRGS","raw_type":"info:eu-repo/semantics/masterThesis"}],"best_oa_location":{"id":"pmh:oai:www.lume.ufrgs.br:10183/213406","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10183/213406","pdf_url":"http://hdl.handle.net/10183/213406","source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"instacron:UFRGS","raw_type":"info:eu-repo/semantics/masterThesis"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.8999999761581421}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6986574143.pdf","grobid_xml":"https://content.openalex.org/works/W6986574143.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W80826709","https://openalex.org/W1498436455","https://openalex.org/W1586335931","https://openalex.org/W1803493353","https://openalex.org/W1913176996","https://openalex.org/W1972614673","https://openalex.org/W1984915657","https://openalex.org/W1986143844","https://openalex.org/W1987544527","https://openalex.org/W1988115241","https://openalex.org/W1988758635","https://openalex.org/W1990474898","https://openalex.org/W1990606352","https://openalex.org/W1995341919","https://openalex.org/W1996561588","https://openalex.org/W1998717664","https://openalex.org/W2006247799","https://openalex.org/W2014883622","https://openalex.org/W2024520223","https://openalex.org/W2031292142","https://openalex.org/W2032047304","https://openalex.org/W2033245860","https://openalex.org/W2033904036","https://openalex.org/W2040870580","https://openalex.org/W2049165530","https://openalex.org/W2050838396","https://openalex.org/W2052851219","https://openalex.org/W2053158187","https://openalex.org/W2056116149","https://openalex.org/W2058998445","https://openalex.org/W2062087947","https://openalex.org/W2063756720","https://openalex.org/W2075017839","https://openalex.org/W2075533163","https://openalex.org/W2077038928","https://openalex.org/W2081059972","https://openalex.org/W2102810790","https://openalex.org/W2145635192","https://openalex.org/W2145860152","https://openalex.org/W2170262218","https://openalex.org/W2291141878","https://openalex.org/W2460804538","https://openalex.org/W2463573176","https://openalex.org/W2465655135","https://openalex.org/W2469430784","https://openalex.org/W2507791695","https://openalex.org/W2550265600","https://openalex.org/W2748862792","https://openalex.org/W2900557878","https://openalex.org/W2972371821","https://openalex.org/W3017323153","https://openalex.org/W3018770027","https://openalex.org/W4211007335","https://openalex.org/W4236654304","https://openalex.org/W6948203659"],"related_works":["https://openalex.org/W4205892529","https://openalex.org/W135151151","https://openalex.org/W1542872310","https://openalex.org/W3022728245","https://openalex.org/W2134484569","https://openalex.org/W3085799468","https://openalex.org/W3014105099","https://openalex.org/W3086763081","https://openalex.org/W6986751629","https://openalex.org/W1907358522"],"abstract_inverted_index":{"Modelos":[0],"de":[1,17,19,24,41,54,71,76,87,116,124,128,143,146,154,156,160,165,177,182,192,195,206,235,258,264,276,283,290,306,311,324,326],"previs\u00e3o":[2,312,320],"hidrol\u00f3gica":[3,321],"baseados":[4],"em":[5,45,50,106,189,322],"Redes":[6],"Neurais":[7],"Artificiais":[8],"(RNAs)":[9],"constituem":[10],"uma":[11],"das":[12,219,262,292],"melhores":[13],"alternativas":[14],"para":[15,31,43,94,232,254,317],"sistemas":[16,323],"alerta":[18,55,325],"inunda\u00e7\u00f5es,":[20],"que":[21,273,301],"fornecem":[22],"tempo":[23,46],"rea\u00e7\u00e3o":[25],"\u00e0":[26,104],"Prote\u00e7\u00e3o":[27],"e":[28,73,101,111,134,185,198,200,209,308],"Defesa":[29],"Civil":[30],"reduzir":[32],"danos.":[33],"A":[34,237,260],"seguinte":[35],"pesquisa":[36],"objetivou":[37],"determinar":[38],"a":[39,140,217,222,269,288,319],"aplicabilidade":[40,218],"RNAs":[42,147,220,265,314],"prever":[44,95],"atual":[47],"n\u00edveis":[48,77,97],"fluviais":[49,98],"esta\u00e7\u00f5es":[51,293],"do":[52,58,202,240],"sistema":[53],"da":[56,65],"bacia":[57],"rio":[59],"Taquari-Antas/RS":[60],"(SACE-Taquari),":[61],"usando":[62],"exclusivamente":[63],"dados":[64,115,234,257],"rede":[66],"telem\u00e9trica":[67],"existente.":[68],"Oito":[69],"s\u00e9ries":[70,75],"precipita\u00e7\u00e3o":[72,117],"cinco":[74],"\u2014":[78,91],"ambas":[79],"medindo":[80],"com":[81,139,180,221,248],"frequ\u00eancia":[82],"hor\u00e1ria":[83],"durante":[84,280,294],"o":[85,127,163,227,274,281,302],"per\u00edodo":[86,159],"26/11/2015":[88],"at\u00e9":[89],"24/04/2019":[90],"foram":[92,120,148,169],"usadas":[93],"os":[96,151,256],"entre":[99],"4":[100],"24":[102,186],"horas":[103,187],"frente":[105],"Encantado,":[107],"Estrela,":[108],"Porto":[109],"Mariante":[110],"Taquari.":[112],"Para":[113,137],"agregar":[114,233,255],"no":[118],"tempo,":[119],"comparados":[121],"tr\u00eas":[122],"filtros":[123,230],"m\u00e9dia":[125],"m\u00f3vel:":[126],"pondera\u00e7\u00e3o":[129],"Uniforme":[130],"(FMMU),":[131],"Exponencial":[132],"(FMME)":[133],"Gama":[135],"(FMMG).":[136],"lidar":[138],"eventual":[141],"indisponibilidade":[142,277],"dados,":[144],"\u00c1rvores":[145,263],"utilizadas,":[149],"contemplando":[150],"poss\u00edveis":[152],"cen\u00e1rios":[153],"perda":[155],"sinal.":[157],"O":[158],"verifica\u00e7\u00e3o":[161],"foi":[162,226,278],"ano":[164,176],"2017.":[166,178],"Seis":[167],"eventos":[168,295],"avaliados":[170],"visualmente;":[171],"quatro":[172],"deles":[173],"pertencendo":[174],"ao":[175,246],"Previs\u00f5es":[179],"alcance":[181],"8,":[183],"12":[184],"apresentaram,":[188],"m\u00e9dia,":[190],"coeficientes":[191],"Nash-Sutcliffe":[193],"(NS)":[194],"0,93,":[196],"0,89":[197],"0,71":[199],"m\u00e9dias":[201],"erro":[203],"absoluto":[204],"(MEA)":[205],"12,":[207],"16":[208],"20":[210],"cm,":[211],"respectivamente.":[212],"Os":[213],"desempenhos":[214],"obtidos":[215],"confirmam":[216],"metodologia":[223],"utilizada.":[224],"FMME":[225],"pior":[228],"dos":[229],"investigados":[231],"precipita\u00e7\u00e3o.":[236,259],"maior":[238],"flexibilidade":[239],"novo":[241],"FMMG":[242],"possibilitou":[243],"desempenho":[244],"semelhante":[245],"FMMU":[247],"menos":[249],"registros,":[250],"tendo":[251],"sido":[252],"selecionado":[253],"abordagem":[261],"possibilita":[266],"emitir":[267],"previs\u00f5es":[268],"qualquer":[270,298],"momento,":[271],"dado":[272],"cen\u00e1rio":[275],"considerado":[279],"procedimento":[282],"treinamento.":[284],"Por\u00e9m,":[285],"n\u00e3o":[286],"substituem":[287],"urg\u00eancia":[289],"manuten\u00e7\u00e3o":[291],"extremos.":[296],"De":[297],"forma,":[299],"entende-se":[300],"investimento":[303],"nas":[304,309],"redes":[305],"monitoramento":[307],"t\u00e9cnicas":[310],"utilizando":[313],"\u00e9":[315],"importante":[316],"aprimorar":[318],"evento":[327],"cr\u00edticos.":[328]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}
