{"id":"https://openalex.org/W4412876930","doi":"https://doi.org/10.1145/3711896.3736962","title":"Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework","display_name":"Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412876930","doi":"https://doi.org/10.1145/3711896.3736962"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3736962","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736962","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736962","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736962","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102676483","display_name":"Xingchen Zou","orcid":"https://orcid.org/0009-0004-4362-6617"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xingchen Zou","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-4362-6617","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102648321","display_name":"Weilin Ruan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weilin Ruan","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-5053-6047","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096912622","display_name":"Siru Zhong","orcid":"https://orcid.org/0009-0001-4465-8686"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siru Zhong","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-4465-8686","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102620266","display_name":"Yuehong Hu","orcid":"https://orcid.org/0009-0006-6833-4228"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuehong Hu","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-6833-4228","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018828723","display_name":"Yuxuan Liang","orcid":"https://orcid.org/0000-0003-2817-7337"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuxuan Liang","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2817-7337","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":"4226","last_page":"4237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998000264167786,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998000264167786,"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9614999890327454,"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/context","display_name":"Context (archaeology)","score":0.6378282308578491},{"id":"https://openalex.org/keywords/urban-heat-island","display_name":"Urban heat island","score":0.5106638073921204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5002830028533936},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.268632709980011},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18863409757614136},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10184037685394287}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6378282308578491},{"id":"https://openalex.org/C54005896","wikidata":"https://www.wikidata.org/wiki/Q215712","display_name":"Urban heat island","level":2,"score":0.5106638073921204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5002830028533936},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.268632709980011},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18863409757614136},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10184037685394287},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3736962","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736962","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736962","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3736962","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736962","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736962","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"},{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4232965929","display_name":null,"funder_award_id":"2023A03J0011","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G4293241460","display_name":null,"funder_award_id":"62402414","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G537185493","display_name":null,"funder_award_id":"2023A03J0011","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"},{"id":"https://openalex.org/F4320326832","display_name":"State Key Laboratory of Resources and Environmental Information System","ror":null},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412876930.pdf","grobid_xml":"https://content.openalex.org/works/W4412876930.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W206717241","https://openalex.org/W2008574460","https://openalex.org/W2019796922","https://openalex.org/W2028529111","https://openalex.org/W2030916814","https://openalex.org/W2059836568","https://openalex.org/W2082858343","https://openalex.org/W2093938910","https://openalex.org/W2112738128","https://openalex.org/W2496082119","https://openalex.org/W2561034431","https://openalex.org/W2784992828","https://openalex.org/W2907470085","https://openalex.org/W2912992131","https://openalex.org/W2917253245","https://openalex.org/W2965341826","https://openalex.org/W2996847713","https://openalex.org/W3004180350","https://openalex.org/W3080253043","https://openalex.org/W3094588037","https://openalex.org/W3123191313","https://openalex.org/W3132280960","https://openalex.org/W3133490928","https://openalex.org/W3139138083","https://openalex.org/W4221102097","https://openalex.org/W4240869939","https://openalex.org/W4281760885","https://openalex.org/W4297848564","https://openalex.org/W4306317966","https://openalex.org/W4309651348","https://openalex.org/W4309772446","https://openalex.org/W4366524979","https://openalex.org/W4382203079","https://openalex.org/W4382318973","https://openalex.org/W4387846860","https://openalex.org/W4388500090","https://openalex.org/W4390100390","https://openalex.org/W4392245177","https://openalex.org/W4395026284","https://openalex.org/W4399794065","https://openalex.org/W4400613682","https://openalex.org/W4400961271","https://openalex.org/W4401325773","https://openalex.org/W4404143263","https://openalex.org/W4405031167","https://openalex.org/W4406089791","https://openalex.org/W4410089388","https://openalex.org/W4412875529"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2547006382","https://openalex.org/W3017730864","https://openalex.org/W2003943341","https://openalex.org/W2193749736","https://openalex.org/W2385102367","https://openalex.org/W2389058308","https://openalex.org/W2350120827"],"abstract_inverted_index":{"Climate":[0],"change":[1],"and":[2,21,35,50,60,112,132,157],"rapid":[3],"urbanization":[4],"have":[5,139],"led":[6],"to":[7,105,146],"the":[8,79,83,86,95],"Urban":[9],"Heat":[10],"Island":[11],"(UHI)":[12],"effect,":[13],"resulting":[14],"in":[15,18,38,128],"higher":[16],"temperatures":[17],"metropolitan":[19],"areas":[20],"negatively":[22],"impacting":[23],"urban":[24,107,117],"communities.":[25],"Accurate":[26],"UHI":[27,91,129,150],"forecasting":[28,151],"is":[29],"crucial":[30],"for":[31,73,90,152],"identifying":[32],"high-risk":[33],"periods":[34],"locations,":[36],"especially":[37],"cities":[39],"with":[40],"vulnerable":[41],"populations.":[42],"Current":[43],"methods":[44],"are":[45,159],"limited":[46],"by":[47],"data":[48],"granularity":[49],"inadequate":[51],"modeling":[52,74],"of":[53],"regional":[54],"thermodynamics,":[55],"which":[56],"affects":[57],"both":[58],"accuracy":[59,127],"spatio-temporal":[61],"granularity.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"propose":[67],"DeepUHI,":[68],"a":[69,101],"data-driven":[70],"context-aware":[71],"framework":[72,99,125],"local":[75],"thermodynamics":[76,108],"based":[77],"on":[78],"heat":[80,102],"equation,":[81],"alongside":[82],"SeoulTemp":[84],"dataset,":[85],"first":[87],"multi-modal":[88],"dataset":[89,158],"effect":[92,130],"predictions":[93],"at":[94,161],"street":[96],"level.":[97],"Our":[98],"utilizes":[100],"decomposition":[103],"method":[104],"represent":[106],"through":[109],"thermodynamic":[110],"cycles":[111],"thermal":[113],"flows,":[114],"effectively":[115],"integrating":[116],"environmental":[118],"data.":[119],"Extensive":[120],"experiments":[121],"show":[122],"that":[123],"our":[124,143],"improves":[126],"prediction":[131],"warning":[133],"tasks,":[134],"outperforming":[135],"leading":[136],"models.":[137],"We":[138],"integrated":[140],"DeepUHI":[141],"into":[142],"SeoUHI":[144],"platform":[145],"provide":[147],"hourly":[148],"street-level":[149],"Seoul.":[153],"The":[154],"code,":[155],"platform,":[156],"accessible":[160],"https://github.com/CityMind-Lab/DeepUHI.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}