{"id":"https://openalex.org/W6944558724","doi":"https://doi.org/10.18420/env2023-020","title":"Towards Fine-Grained Sensor-Based Probabilistic Individual Air Pollution Exposure Prediction using Wind Information","display_name":"Towards Fine-Grained Sensor-Based Probabilistic Individual Air Pollution Exposure Prediction using Wind Information","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W6944558724","doi":"https://doi.org/10.18420/env2023-020"},"language":"en","primary_location":{"id":"doi:10.18420/env2023-020","is_oa":true,"landing_page_url":"https://doi.org/10.18420/env2023-020","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/env2023-020","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tremper, Paul","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tremper, Paul","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Riedel, Till","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Riedel, Till","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27843234,"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":true,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9524000287055969,"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":0.9524000287055969,"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/T10190","display_name":"Air Quality and Health Impacts","score":0.00989999994635582,"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"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.009499999694526196,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.6337000131607056},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5644000172615051},{"id":"https://openalex.org/keywords/air-pollution","display_name":"Air pollution","score":0.515999972820282},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5073000192642212},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.4717000126838684},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.45980000495910645},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.40470001101493835},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.39890000224113464},{"id":"https://openalex.org/keywords/wind-direction","display_name":"Wind direction","score":0.36500000953674316}],"concepts":[{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.6337000131607056},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.597599983215332},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5644000172615051},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.515999972820282},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5073000192642212},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5024999976158142},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.4717000126838684},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.45980000495910645},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.39890000224113464},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3725999891757965},{"id":"https://openalex.org/C107775477","wikidata":"https://www.wikidata.org/wiki/Q1057900","display_name":"Wind direction","level":3,"score":0.36500000953674316},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.34389999508857727},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33899998664855957},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C2987853052","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollutants","level":3,"score":0.314300000667572},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.31349998712539673},{"id":"https://openalex.org/C52173716","wikidata":"https://www.wikidata.org/wiki/Q4698350","display_name":"Air pollutant concentrations","level":4,"score":0.3116999864578247},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.3043000102043152},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2831999957561493},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C75398719","wikidata":"https://www.wikidata.org/wiki/Q7268938","display_name":"Quantitative precipitation estimation","level":3,"score":0.2671999931335449},{"id":"https://openalex.org/C82685317","wikidata":"https://www.wikidata.org/wiki/Q19829510","display_name":"Pollutant","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18420/env2023-020","is_oa":true,"landing_page_url":"https://doi.org/10.18420/env2023-020","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18420/env2023-020","is_oa":true,"landing_page_url":"https://doi.org/10.18420/env2023-020","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7814909219741821,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"estimation":[1],"of":[2,14,65],"pollutant":[3],"exposure":[4],"is":[5],"highly":[6],"dependent":[7],"on":[8,38],"the":[9,15,60,63,66,72,77,81],"spatial":[10],"and":[11,70,80],"temporal":[12],"resolution":[13],"underlying":[16],"model.":[17],"This":[18,45],"work":[19],"presents":[20],"a":[21,33],"street-level":[22],"Gaussian":[23],"Process":[24],"Regression":[25],"model":[26,46],"for":[27],"urban":[28],"air":[29],"quality":[30],"that":[31],"uses":[32],"novel":[34],"covariance":[35],"kernel":[36],"based":[37],"physical":[39],"considerations":[40],"to":[41,75],"process":[42],"wind":[43,67],"information.":[44],"can":[47],"be":[48],"driven":[49],"by":[50],"information":[51],"from":[52,54],"observations":[53],"low-cost":[55],"sensor":[56],"networks.":[57],"We":[58],"present":[59],"model,":[61],"including":[62],"construction":[64],"angle":[68],"kernel,":[69],"discuss":[71],"inconclusive":[73],"evaluation":[74],"date,":[76],"current":[78],"challenges,":[79],"way":[82],"forward.":[83]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
