{"id":"https://openalex.org/W7214760680","doi":"https://doi.org/10.46254/an16.20260098","title":"Quantifying Regional Climate Stress in Ankara via Entropy-Weighted Random Forest Modeling","display_name":"Quantifying Regional Climate Stress in Ankara via Entropy-Weighted Random Forest Modeling","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7214760680","doi":"https://doi.org/10.46254/an16.20260098"},"language":"en","primary_location":{"id":"doi:10.46254/an16.20260098","doi":"https://doi.org/10.46254/an16.20260098","is_oa":true,"landing_page_url":"https://doi.org/10.46254/an16.20260098","pdf_url":"https://ieomsociety.org/proceedings/ankara2026/98.pdf","source":{"id":"https://openalex.org/S7407096826","display_name":"International Conference on Industrial Engineering and Operations Management (IEOM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Industrial Engineering and Operations Management","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieomsociety.org/proceedings/ankara2026/98.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072135858","display_name":"\u0130brahim Mira\u00e7 Elig\u00fczel","orcid":"https://orcid.org/0000-0003-3105-9438","observed_orcids":["https://orcid.org/0000-0003-3105-9438"]},"institutions":[{"id":"https://openalex.org/I4387152122","display_name":"Gaziantep \u0130slam Bilim ve Teknoloji \u00dcniversitesi","ror":"https://ror.org/04nvpy675","country_code":"TR","type":"education","lineage":["https://openalex.org/I4387152122"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u0130brahim Mira\u00e7 Elig\u00fczel","raw_affiliation_strings":["Gaziantep Islam Science and Technology University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gaziantep Islam Science and Technology University","institution_ids":["https://openalex.org/I4387152122"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043049010","display_name":"Nazmiye Elig\u00fczel","orcid":"https://orcid.org/0000-0001-6354-8215","observed_orcids":["https://orcid.org/0000-0001-6354-8215"]},"institutions":[{"id":"https://openalex.org/I4387152122","display_name":"Gaziantep \u0130slam Bilim ve Teknoloji \u00dcniversitesi","ror":"https://ror.org/04nvpy675","country_code":"TR","type":"education","lineage":["https://openalex.org/I4387152122"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Nazmiye Elig\u00fczel","raw_affiliation_strings":["Gaziantep \u0130slam bilim ve teknoloji \u00fcniversitesi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gaziantep \u0130slam bilim ve teknoloji \u00fcniversitesi","institution_ids":["https://openalex.org/I4387152122"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060499145","display_name":"Sena Aydo\u011fan","orcid":"https://orcid.org/0000-0003-1267-1779","observed_orcids":["https://orcid.org/0000-0003-1267-1779"]},"institutions":[{"id":"https://openalex.org/I95634034","display_name":"Gazi University","ror":"https://ror.org/054xkpr46","country_code":"TR","type":"education","lineage":["https://openalex.org/I95634034"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sena Aydo\u011fan","raw_affiliation_strings":["Gazi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gazi University","institution_ids":["https://openalex.org/I95634034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83428276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.42750000953674316,"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/T10029","display_name":"Climate variability and models","score":0.42750000953674316,"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/T13530","display_name":"Climate Change and Environmental Impact","score":0.2727000117301941,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.09359999746084213,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ankara","display_name":"Ankara","score":0.6480000019073486},{"id":"https://openalex.org/keywords/climate-change-impacts","display_name":"climate change impacts","score":0.5860000252723694},{"id":"https://openalex.org/keywords/climate-risk-assessment","display_name":"climate risk assessment","score":0.34599998593330383}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5264999866485596},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.48339998722076416},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35359999537467957},{"id":"https://openalex.org/C168754636","wikidata":"https://www.wikidata.org/wiki/Q620920","display_name":"Climate model","level":3,"score":0.3386000096797943},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C2986088632","wikidata":"https://www.wikidata.org/wiki/Q4259364","display_name":"Forest cover","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.3052000105381012},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C2994067962","wikidata":"https://www.wikidata.org/wiki/Q3509184","display_name":"Climate system","level":3,"score":0.26489999890327454},{"id":"https://openalex.org/C2987418964","wikidata":"https://www.wikidata.org/wiki/Q242165","display_name":"Heat stress","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.46254/an16.20260098","doi":"https://doi.org/10.46254/an16.20260098","is_oa":true,"landing_page_url":"https://doi.org/10.46254/an16.20260098","pdf_url":"https://ieomsociety.org/proceedings/ankara2026/98.pdf","source":{"id":"https://openalex.org/S7407096826","display_name":"International Conference on Industrial Engineering and Operations Management (IEOM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Industrial Engineering and Operations Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.46254/an16.20260098","doi":"https://doi.org/10.46254/an16.20260098","is_oa":true,"landing_page_url":"https://doi.org/10.46254/an16.20260098","pdf_url":"https://ieomsociety.org/proceedings/ankara2026/98.pdf","source":{"id":"https://openalex.org/S7407096826","display_name":"International Conference on Industrial Engineering and Operations Management (IEOM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Industrial Engineering and Operations Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":1.0},{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8787999749183655}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214760680.pdf","grobid_xml":"https://content.openalex.org/works/W7214760680.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7203666339","https://openalex.org/W7164052374","https://openalex.org/W7214708237","https://openalex.org/W4408426128","https://openalex.org/W7118276022","https://openalex.org/W7151476648","https://openalex.org/W7128594831","https://openalex.org/W4414546645","https://openalex.org/W7222460275","https://openalex.org/W7169858096"],"abstract_inverted_index":{"Urban":[0],"centers":[1],"face":[2],"unprecedented":[3],"challenges":[4],"due":[5],"to":[6,21,38,56,89,160],"climate":[7,165],"change":[8],"and":[9,67,135,162],"increasing":[10],"environmental":[11],"volatility.":[12],"In":[13,127],"this":[14,30],"study,":[15],"we":[16,76,83],"developed":[17],"a":[18,32,71,85,153],"hybrid":[19,148],"framework":[20],"evaluate":[22],"climate-related":[23],"stress":[24,109],"in":[25,110],"Ankara,":[26],"Trkiye.":[27],"To":[28],"achieve":[29],"aim,":[31],"long-term":[33],"monthly":[34,78],"dataset":[35],"from":[36],"1997":[37],"2025":[39],"is":[40,103],"analyzed.":[41],"Collected":[42],"via":[43],"the":[44,47,52,59,91,96,104,113,146],"Meteostat":[45],"library,":[46],"data":[48],"were":[49],"processed":[50],"through":[51],"Entropy":[53],"Weighting":[54],"Method":[55],"objectively":[57],"rank":[58],"impact":[60],"of":[61,133,138],"six":[62],"variables,":[63],"including":[64],"temperature":[65],"extremes":[66],"precipitation.":[68],"By":[69],"building":[70],"composite":[72],"Climate":[73,170,180],"Stress":[74,171],"Index,":[75],"quantified":[77],"risk":[79],"levels.":[80],"After":[81],"that,":[82],"applied":[84],"Random":[86,176],"Forest":[87,177],"regressor":[88],"capture":[90],"complex,":[92],"non-linear":[93],"patterns":[94],"within":[95],"weather":[97],"data.":[98],"Results":[99],"reveal":[100],"that":[101,128,145],"precipitation":[102],"primary":[105],"factor":[106],"driving":[107],"climatic":[108],"Ankara;":[111],"also,":[112],"machine":[114],"learning":[115],"model":[116],"performed":[117],"with":[118],"remarkable":[119],"precision.":[120],"Performance":[121],"metrics":[122],"show":[123],"an":[124,130,136],"outstanding":[125],"result.":[126],"aspect,":[129],"R2":[131],"score":[132],"0.9881":[134],"RMSE":[137],"0.0193":[139],"are":[140],"observed.":[141],"These":[142],"results":[143],"demonstrate":[144],"proposed":[147],"approach":[149],"can":[150],"serve":[151],"as":[152],"practical,":[154],"automated":[155],"tool":[156],"for":[157],"local":[158],"authorities":[159],"monitor":[161],"manage":[163],"regional":[164],"risks":[166],"more":[167],"effectively.":[168],"Keywords":[169],"Index":[172],"(CSI),":[173],"Entropy-Based":[174],"Methods,":[175],"Regression,":[178],"Regional":[179],"Assessment,":[181],"Ankara.":[182]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-09-30T00:00:00"}
