{"id":"https://openalex.org/W3195039377","doi":"https://doi.org/10.1145/3469213.3470242","title":"Study on measurement error analysis and correction method of ground flash data in Hunan","display_name":"Study on measurement error analysis and correction method of ground flash data in Hunan","publication_year":2021,"publication_date":"2021-05-28","ids":{"openalex":"https://openalex.org/W3195039377","doi":"https://doi.org/10.1145/3469213.3470242","mag":"3195039377"},"language":"en","primary_location":{"id":"doi:10.1145/3469213.3470242","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469213.3470242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 2nd International Conference on Artificial Intelligence and Information Systems","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/A5071765477","display_name":"Xiecheng Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156400","display_name":"Department of Science and Technology of Hunan Province","ror":"https://ror.org/04qgr7x96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210156400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiecheng Wan","raw_affiliation_strings":["Hunan Meteorological Disaster Prevention Technology Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Meteorological Disaster Prevention Technology Center, China","institution_ids":["https://openalex.org/I4210156400"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fengjiao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156400","display_name":"Department of Science and Technology of Hunan Province","ror":"https://ror.org/04qgr7x96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210156400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengjiao Liu","raw_affiliation_strings":["Hunan Meteorological Disaster Prevention Technology Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Meteorological Disaster Prevention Technology Center, China","institution_ids":["https://openalex.org/I4210156400"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yao Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156400","display_name":"Department of Science and Technology of Hunan Province","ror":"https://ror.org/04qgr7x96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210156400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Tang","raw_affiliation_strings":["Hunan Meteorological Disaster Prevention Technology Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Meteorological Disaster Prevention Technology Center, China","institution_ids":["https://openalex.org/I4210156400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360932","display_name":"Yanqing Liu","orcid":"https://orcid.org/0000-0002-6599-1920"},"institutions":[{"id":"https://openalex.org/I4210153394","display_name":"Ningxia Meteorological Bureau","ror":"https://ror.org/0449jya45","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092","https://openalex.org/I4210153394"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqing Liu","raw_affiliation_strings":["Xiangxiang Meteorological Bureau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiangxiang Meteorological Bureau, China","institution_ids":["https://openalex.org/I4210153394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001931607","display_name":"Ming Xue","orcid":"https://orcid.org/0000-0003-1976-3238"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming Xue","raw_affiliation_strings":["Jingzhou County Meteorological Bureau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jingzhou County Meteorological Bureau, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.569,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73716401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9503999948501587,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/thunder","display_name":"Thunder","score":0.7967753410339355},{"id":"https://openalex.org/keywords/lightning","display_name":"Lightning (connector)","score":0.7425228953361511},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5845111608505249},{"id":"https://openalex.org/keywords/thunderstorm","display_name":"Thunderstorm","score":0.5562999844551086},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5062152743339539},{"id":"https://openalex.org/keywords/lightning-strike","display_name":"Lightning strike","score":0.4449123740196228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4364583194255829},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.34366345405578613},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19489312171936035},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11148467659950256},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08052182197570801}],"concepts":[{"id":"https://openalex.org/C206554765","wikidata":"https://www.wikidata.org/wiki/Q83301","display_name":"Thunder","level":2,"score":0.7967753410339355},{"id":"https://openalex.org/C69398868","wikidata":"https://www.wikidata.org/wiki/Q129052","display_name":"Lightning (connector)","level":3,"score":0.7425228953361511},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5845111608505249},{"id":"https://openalex.org/C80316258","wikidata":"https://www.wikidata.org/wiki/Q2857578","display_name":"Thunderstorm","level":2,"score":0.5562999844551086},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5062152743339539},{"id":"https://openalex.org/C182236062","wikidata":"https://www.wikidata.org/wiki/Q15120872","display_name":"Lightning strike","level":3,"score":0.4449123740196228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4364583194255829},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.34366345405578613},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19489312171936035},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11148467659950256},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08052182197570801},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3469213.3470242","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469213.3470242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 2nd International Conference on Artificial Intelligence and Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1978040133","https://openalex.org/W2053638973","https://openalex.org/W2161144036","https://openalex.org/W2774827217","https://openalex.org/W2888066317","https://openalex.org/W4214551821"],"related_works":["https://openalex.org/W3165160361","https://openalex.org/W2030349171","https://openalex.org/W3208103899","https://openalex.org/W4247009157","https://openalex.org/W2071010365","https://openalex.org/W2155600564","https://openalex.org/W3006199805","https://openalex.org/W4310829822","https://openalex.org/W2379997514","https://openalex.org/W3171614835"],"abstract_inverted_index":{"According":[0,78],"to":[1,20,56,79],"the":[2,7,12,21,28,40,44,58,66,71,80,85,102,114,132,152,156,160,171,174,177,182,198,201,213,216,225,232,239,249,266,274,285],"principle":[3,81],"of":[4,27,60,75,82,88,105,117,124,173,186,200,241,260,277,289,292],"positioning":[5,67,90,115,135],"method,":[6],"lightning":[8,13,36,61,76,83,96,149,157,209,217,245,293],"location":[9,14,218],"detected":[10,242],"by":[11,65,221],"system":[15,46,63,219],"is":[16,108,120,181,189,228,235,246,252,268,280],"determined.":[17],"However,":[18],"due":[19],"different":[22,30,35,52,89],"installation":[23],"distances":[24,94],"or":[25],"functions":[26],"instruments,":[29],"monitoring":[31,37,106,278],"systems":[32],"may":[33,47],"have":[34,49,299],"data":[38,107,279,294],"in":[39,51,151,159,271,295],"same":[41,45],"area,":[42],"and":[43,69,73,95,101,144,155,176,203,205,208,231,244,248,265,273,287,297],"also":[48],"errors":[50,87],"areas.":[53],"In":[54,127,215],"order":[55],"reduce":[57],"error":[59],"detection":[62],"caused":[64],"method":[68,104],"improve":[70],"reliability":[72,286],"generality":[74],"data.":[77],"location,":[84],"possible":[86],"methods,":[91],"measuring":[92],"station":[93,179,226,258],"distances,":[97],"etc.":[98],"are":[99,137,163,255],"analyzed,":[100],"screening":[103],"given.":[109],"The":[110,148],"results":[111],"show":[112],"that":[113,123],"accuracy":[116],"time":[118],"difference":[119],"higher":[121],"than":[122],"magnetic":[125,146],"orientation.":[126],"accordance":[128],"with":[129,170,197],"their":[130],"merits,":[131],"four":[133,178],"ranked":[134],"methods":[136],"three-station":[138,153],"hybrid,":[139],"four-station":[140,161],"algorithm,":[141],"two-station":[142,145,187],"hybrid":[143],"positioning.":[147],"distribution":[150,158,185],"mode":[154,162,188],"relatively":[164,281],"uniform,":[165,191],"which":[166,192],"has":[167,193],"small":[168,206],"correlation":[169,196],"layout":[172,199,227],"stations,":[175,202],"algorithm":[180],"second.":[183],"Lightning":[184],"not":[190],"a":[194,256],"big":[195],"weak":[204],"thunder":[207,243],"mainly":[210],"concentrates":[211],"near":[212],"stations.":[214],"operated":[220],"Changsha":[222,298],"Meteorological":[223,263],"Bureau,":[224,264],"too":[229],"dense,":[230],"adjacent":[233],"distance":[234],"only":[236],"15km-40km,":[237],"so":[238],"amount":[240,276],"large,":[247,269],"accumulation":[250],"phenomenon":[251],"serious.":[253],"There":[254],"few":[257],"layouts":[259],"Hunan":[261,296],"Provincial":[262],"interval":[267],"mostly":[270],"150km-250km,":[272],"total":[275],"small.":[282],"Through":[283],"screening,":[284],"versatility":[288],"two":[290],"sets":[291],"been":[300],"significantly":[301],"improved.":[302]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
