{"id":"https://openalex.org/W7165135489","doi":"https://doi.org/10.1080/10095020.2026.2680855","title":"Fusion of ground-based monitoring, satellite observations, and chemical transport modeling for estimating highly dynamic and spatially seamless PM 2.5 concentrations","display_name":"Fusion of ground-based monitoring, satellite observations, and chemical transport modeling for estimating highly dynamic and spatially seamless PM 2.5 concentrations","publication_year":2026,"publication_date":"2026-06-18","ids":{"openalex":"https://openalex.org/W7165135489","doi":"https://doi.org/10.1080/10095020.2026.2680855"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2026.2680855","doi":"https://doi.org/10.1080/10095020.2026.2680855","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2026.2680855","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/10095020.2026.2680855","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083612118","display_name":"Hanli Hu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanli Hu","raw_affiliation_strings":["Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114374395","display_name":"Huanfeng Shen","orcid":"https://orcid.org/0000-0002-4140-1869","observed_orcids":["https://orcid.org/0000-0002-4140-1869"]},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huanfeng Shen","raw_affiliation_strings":["Wuhan University"],"raw_orcid":"https://orcid.org/0000-0002-4140-1869","affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079445353","display_name":"Chao Zeng","orcid":"https://orcid.org/0000-0002-3012-2493","observed_orcids":["https://orcid.org/0000-0002-3012-2493","https://orcid.org/0009-0005-7768-9381"]},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zeng","raw_affiliation_strings":["Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048117999","display_name":"Tongwen Li","orcid":"https://orcid.org/0000-0001-7197-3713","observed_orcids":["https://orcid.org/0000-0001-7197-3713"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongwen Li","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114374395"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38484909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9916999936103821,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9916999936103821,"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/T10075","display_name":"Atmospheric chemistry and aerosols","score":0.0032999999821186066,"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"}},{"id":"https://openalex.org/T10190","display_name":"Air Quality and Health Impacts","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/pm2-5-estimation","display_name":"PM2.5 estimation","score":0.9390000104904175},{"id":"https://openalex.org/keywords/pm2-5","display_name":"PM2.5","score":0.8240000009536743},{"id":"https://openalex.org/keywords/multi-source-data-fusion","display_name":"multi-source data fusion","score":0.9430000185966492},{"id":"https://openalex.org/keywords/aerosol-optical-depth","display_name":"aerosol optical depth","score":0.796999990940094},{"id":"https://openalex.org/keywords/wrf-chem","display_name":"WRF-Chem","score":0.8180000185966492},{"id":"https://openalex.org/keywords/lightgbm","display_name":"LightGBM","score":0.7960000038146973},{"id":"https://openalex.org/keywords/physics-informed-features","display_name":"physics-informed features","score":0.7799999713897705},{"id":"https://openalex.org/keywords/air-quality-mapping","display_name":"air quality mapping","score":0.7639999985694885},{"id":"https://openalex.org/keywords/meteorological-conditions","display_name":"weather conditions","score":0.6159999966621399}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6658999919891357},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6197999715805054},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5896000266075134},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5504999756813049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5192999839782715},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5098999738693237},{"id":"https://openalex.org/C24245907","wikidata":"https://www.wikidata.org/wiki/Q498957","display_name":"Particulates","level":2,"score":0.4277999997138977},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42570000886917114},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.4056999981403351},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3808000087738037},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.37630000710487366},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.34700000286102295},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C2779345167","wikidata":"https://www.wikidata.org/wiki/Q104541","display_name":"Aerosol","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.31790000200271606},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.30169999599456787},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C133204551","wikidata":"https://www.wikidata.org/wiki/Q838305","display_name":"Weather Research and Forecasting Model","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C521259446","wikidata":"https://www.wikidata.org/wiki/Q58734","display_name":"Pollution","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.26750001311302185},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C2777016058","wikidata":"https://www.wikidata.org/wiki/Q7574061","display_name":"Spatial distribution","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/10095020.2026.2680855","doi":"https://doi.org/10.1080/10095020.2026.2680855","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2026.2680855","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cf3ae396f7a3487b844682643ed706bd","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/cf3ae396f7a3487b844682643ed706bd","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Geo-spatial Information Science, Pp 1-19 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/10095020.2026.2680855","doi":"https://doi.org/10.1080/10095020.2026.2680855","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2026.2680855","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5351999998092651}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G8802168977","display_name":null,"funder_award_id":"42130108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1862113676","https://openalex.org/W1995819826","https://openalex.org/W2003432975","https://openalex.org/W2067129339","https://openalex.org/W2074984119","https://openalex.org/W2095182169","https://openalex.org/W2109254960","https://openalex.org/W2121690346","https://openalex.org/W2140805694","https://openalex.org/W2146902162","https://openalex.org/W2275537745","https://openalex.org/W2289128632","https://openalex.org/W2336797181","https://openalex.org/W2553429315","https://openalex.org/W2725498977","https://openalex.org/W2742946820","https://openalex.org/W2787696761","https://openalex.org/W2790202404","https://openalex.org/W2791307436","https://openalex.org/W2796935963","https://openalex.org/W2800203331","https://openalex.org/W2804076223","https://openalex.org/W2897436853","https://openalex.org/W2909938372","https://openalex.org/W2951572255","https://openalex.org/W2955601895","https://openalex.org/W2986877902","https://openalex.org/W2990705976","https://openalex.org/W3014395405","https://openalex.org/W3023838324","https://openalex.org/W3025949386","https://openalex.org/W3036577924","https://openalex.org/W3042302995","https://openalex.org/W3043856293","https://openalex.org/W3093326626","https://openalex.org/W3094981772","https://openalex.org/W3111759001","https://openalex.org/W3122993262","https://openalex.org/W3136179920","https://openalex.org/W3195830738","https://openalex.org/W3202861672","https://openalex.org/W4200423297","https://openalex.org/W4205110928","https://openalex.org/W4213446791","https://openalex.org/W4283119304","https://openalex.org/W4316664772","https://openalex.org/W4321602335","https://openalex.org/W4321786574","https://openalex.org/W4385985206","https://openalex.org/W4389279007","https://openalex.org/W4392051305","https://openalex.org/W4392715404","https://openalex.org/W4392985757","https://openalex.org/W4394595569","https://openalex.org/W4399381368","https://openalex.org/W4399389595","https://openalex.org/W4399984580","https://openalex.org/W4404695549","https://openalex.org/W4409178121"],"related_works":[],"abstract_inverted_index":{"Fine":[0],"particulate":[1],"matter":[2],"(PM2.5)":[3],"poses":[4],"significant":[5],"risks":[6],"to":[7,57,136,190,228],"both":[8,208],"public":[9],"health":[10],"and":[11,30,80,109,170,210,212,220,231],"ecological":[12],"systems.":[13],"Multi-source":[14],"data,":[15],"including":[16],"ground":[17],"monitoring":[18,150],"(accurate":[19],"but":[20,27,36],"spatially":[21],"limited),":[22],"satellite":[23,102],"remote":[24],"sensing":[25],"(large-scale":[26],"with":[28,37,101,160],"gaps),":[29],"chemical":[31],"transport":[32],"models":[33],"(CTM;":[34],"continuous":[35,98],"parameterization":[38],"errors),":[39],"offer":[40],"complementary":[41],"perspectives.":[42],"However,":[43],"existing":[44],"fusion":[45],"methods":[46],"often":[47],"rely":[48],"on":[49],"the":[50,78,119,138,145,201],"simple":[51,225],"stacking":[52],"of":[53,107,112,144,149,163,167,173,182,200,217],"these":[54,84],"datasets,":[55],"failing":[56],"fully":[58],"exploit":[59],"their":[60],"underlying":[61],"potential.":[62],"This":[63],"study":[64],"introduces":[65],"a":[66,126,177,183,214,238],"novel":[67],"framework":[68],"for":[69,241],"hourly":[70],"1-km":[71],"seamless":[72,90,202,243],"PM2.5":[73,108,140,184,204],"estimation":[74],"by":[75,96],"deeply":[76],"extracting":[77],"mechanism":[79],"spatial":[81,146,232],"information":[82,233],"from":[83,118,224],"multi-source":[85],"data.":[86],"Initially,":[87],"we":[88],"generate":[89],"aerosol":[91],"optical":[92],"depth":[93],"(AOD)":[94],"coverage":[95],"combining":[97],"WRF-Chem":[99,120],"AOD":[100,103],"retrievals.":[104],"Temporal":[105],"components":[106],"vertical":[110],"structure":[111],"AOD,":[113],"extracted":[114],"as":[115],"physics-informed":[116],"features":[117],"model,":[121],"are":[122],"then":[123],"incorporated.":[124],"Subsequently,":[125],"geospatial":[127],"intelligent":[128],"light":[129],"gradient":[130],"boosting":[131],"machine":[132],"model":[133,153],"is":[134],"introduced":[135],"derive":[137],"final":[139],"estimates,":[141],"taking":[142],"advantage":[143],"distribution":[147,206],"properties":[148],"sites.":[151],"The":[152,194],"demonstrates":[154],"high":[155],"accuracy":[156],"in":[157],"site-based":[158],"cross-validation,":[159],"an":[161,165,171,197],"R2":[162],"0.87,":[164],"RMSE":[166],"13.42":[168],"\u03bcg/m3,":[169],"MAE":[172],"8.68":[174],"\u03bcg/m3.":[175],"Additionally,":[176],"thorough":[178],"analysis":[179],"was":[180],"conducted":[181],"pollution":[185],"episode,":[186],"incorporating":[187],"meteorological":[188],"conditions":[189],"examine":[191],"its":[192],"evolution.":[193],"results":[195],"provided":[196],"accurate":[198],"representation":[199],"1-km/h":[203],"concentration":[205],"(spanning":[207],"day":[209],"night)":[211],"offered":[213],"comprehensive":[215],"understanding":[216],"pollutant":[218],"movement":[219],"transformation.":[221],"By":[222],"shifting":[223],"data":[226],"integration":[227],"deep":[229],"mechanisms":[230],"mining,":[234],"this":[235],"approach":[236],"provides":[237],"robust":[239],"solution":[240],"high-dynamic,":[242],"air":[244],"quality":[245],"mapping.":[246]},"counts_by_year":[],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2026-06-19T00:00:00"}
