{"id":"https://openalex.org/W2949963282","doi":"https://doi.org/10.1109/ncc.2019.8732193","title":"Modelling and short term forecasting of flash floods in an urban environment","display_name":"Modelling and short term forecasting of flash floods in an urban environment","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2949963282","doi":"https://doi.org/10.1109/ncc.2019.8732193","mag":"2949963282"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2019.8732193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2019.8732193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 National Conference on Communications (NCC)","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/A5075745924","display_name":"Suraj Ogale","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani Institute of Information and Communication Technology","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Suraj Ogale","raw_affiliation_strings":["Dhirubhai Ambani Institute of Communication and Technology, Gandhinagar, Gujarat, 382007"],"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Communication and Technology, Gandhinagar, Gujarat, 382007","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101606090","display_name":"Sanjay Srivastava","orcid":"https://orcid.org/0000-0003-0461-3122"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani Institute of Information and Communication Technology","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanjay Srivastava","raw_affiliation_strings":["Dhirubhai Ambani Institute of Communication and Technology, Gandhinagar, Gujarat, 382007"],"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Communication and Technology, Gandhinagar, Gujarat, 382007","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075745924"],"corresponding_institution_ids":["https://openalex.org/I98389781"],"apc_list":null,"apc_paid":null,"fwci":0.2554,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58582855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9986000061035156,"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":0.9986000061035156,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9962999820709229,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/flash-flood","display_name":"Flash flood","score":0.8927823305130005},{"id":"https://openalex.org/keywords/nowcasting","display_name":"Nowcasting","score":0.8560587167739868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6079650521278381},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.6033623218536377},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5163915753364563},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4947054088115692},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4533781409263611},{"id":"https://openalex.org/keywords/weather-radar","display_name":"Weather radar","score":0.4360199570655823},{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.4321504533290863},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.41520172357559204},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4135867953300476},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.36473095417022705},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20495939254760742},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20489847660064697},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13558968901634216}],"concepts":[{"id":"https://openalex.org/C120417685","wikidata":"https://www.wikidata.org/wiki/Q860333","display_name":"Flash flood","level":3,"score":0.8927823305130005},{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.8560587167739868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079650521278381},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.6033623218536377},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5163915753364563},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4947054088115692},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4533781409263611},{"id":"https://openalex.org/C92237259","wikidata":"https://www.wikidata.org/wiki/Q863343","display_name":"Weather radar","level":3,"score":0.4360199570655823},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.4321504533290863},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.41520172357559204},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4135867953300476},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36473095417022705},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20495939254760742},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20489847660064697},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13558968901634216},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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:10.1109/ncc.2019.8732193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2019.8732193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2033904036","https://openalex.org/W2045991127","https://openalex.org/W2130848267","https://openalex.org/W2132995696","https://openalex.org/W2171868807","https://openalex.org/W2341663230","https://openalex.org/W2475963603","https://openalex.org/W2577231018","https://openalex.org/W2772453098","https://openalex.org/W6703878004"],"related_works":["https://openalex.org/W2072708097","https://openalex.org/W3007401976","https://openalex.org/W1991223481","https://openalex.org/W133107008","https://openalex.org/W2170718558","https://openalex.org/W2919603033","https://openalex.org/W2607038703","https://openalex.org/W1928862993","https://openalex.org/W3201955788","https://openalex.org/W1489159237","https://openalex.org/W3033841431","https://openalex.org/W2276342788","https://openalex.org/W186838766","https://openalex.org/W15596221","https://openalex.org/W3045101849","https://openalex.org/W2152899179","https://openalex.org/W3081813567","https://openalex.org/W2056212737","https://openalex.org/W2391803379","https://openalex.org/W3134960375"],"abstract_inverted_index":{"Rapid":[0],"urbanization,":[1],"climate":[2],"change,":[3],"and":[4,101,112,116,151,165],"extreme":[5],"rainfall":[6],"have":[7],"resulted":[8],"in":[9,47,51,110],"a":[10,27,52,129,140],"growing":[11],"number":[12],"of":[13,15,26,33,56,62,73,82,97,134],"cases":[14],"urban":[16,43,49,148],"flash":[17,44,149],"floods.":[18],"It":[19],"is":[20,69,137,163],"important":[21],"to":[22,123,138],"predict":[23,152],"the":[24,31,39,60,74,95,144,147,153,158,166,171],"occurrence":[25],"flood":[28,45,83,150],"so":[29],"that":[30],"aftermath":[32],"it":[34],"can":[35],"be":[36],"minimized.":[37],"As":[38],"name":[40],"suggests,":[41],"an":[42,48],"occurs":[46],"area":[50],"very":[53,75],"short":[54],"span":[55],"time.":[57],"To":[58,156],"reduce":[59],"impact":[61],"these":[63],"events,":[64],"short-term":[65],"forecasting":[66],"or":[67],"nowcasting":[68],"used":[70],"for":[71],"prediction":[72],"near":[76],"future":[77],"incident.":[78],"In":[79],"orthodox":[80],"methods":[81,92],"forecasting,":[84],"current":[85],"weather":[86],"conditions":[87],"are":[88,168],"examined":[89],"using":[90,170],"conventional":[91],"such":[93],"as":[94],"use":[96],"radar,":[98],"satellite":[99],"imaging":[100],"calculations":[102],"involving":[103],"complicated":[104],"mathematical":[105],"equations.":[106],"However,":[107],"recent":[108],"developments":[109],"Information":[111],"Communication":[113],"Technology":[114],"(ICT)":[115],"Machine":[117],"Learning":[118],"(ML)":[119],"has":[120],"helped":[121],"us":[122],"study":[124],"this":[125,135],"hydrological":[126],"problem":[127],"from":[128],"different":[130],"perspective.":[131],"The":[132],"aim":[133],"paper":[136],"design":[139],"theoretical":[141],"model":[142],"considering":[143],"parameters":[145],"causing":[146],"event":[154],"beforehand.":[155],"test":[157],"soundness":[159],"model,":[160],"data":[161],"syntheses":[162],"performed":[164],"results":[167],"checked":[169],"artificial":[172],"neural":[173],"network.":[174]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
