{"id":"https://openalex.org/W4224110156","doi":"https://doi.org/10.1145/3512850.3512863","title":"Development of a Bayesian Copula-based Spatial-temporal Method for Multivariate Drought Risk Analysis","display_name":"Development of a Bayesian Copula-based Spatial-temporal Method for Multivariate Drought Risk Analysis","publication_year":2022,"publication_date":"2022-01-11","ids":{"openalex":"https://openalex.org/W4224110156","doi":"https://doi.org/10.1145/3512850.3512863"},"language":"en","primary_location":{"id":"doi:10.1145/3512850.3512863","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512850.3512863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 8th International Conference on Computing and Data Engineering","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/A5102831058","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0003-3283-7852"},"institutions":[{"id":"https://openalex.org/I4210128533","display_name":"State Key Joint Laboratory of Environment Simulation and Pollution Control","ror":"https://ror.org/03ckpzr37","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128533"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Yang","raw_affiliation_strings":["State Key Joint Laboratory of Environmental Simulation and Pollution Control,School of Environment, Beijing Normal University, China"],"affiliations":[{"raw_affiliation_string":"State Key Joint Laboratory of Environmental Simulation and Pollution Control,School of Environment, Beijing Normal University, China","institution_ids":["https://openalex.org/I4210128533","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720495","display_name":"Yongping Li","orcid":"https://orcid.org/0000-0001-6682-8239"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210128533","display_name":"State Key Joint Laboratory of Environment Simulation and Pollution Control","ror":"https://ror.org/03ckpzr37","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongping Li","raw_affiliation_strings":["State Key Joint Laboratory of Environmental Simulation and Pollution Control,School of Environment, Beijing Normal University, China"],"affiliations":[{"raw_affiliation_string":"State Key Joint Laboratory of Environmental Simulation and Pollution Control,School of Environment, Beijing Normal University, China","institution_ids":["https://openalex.org/I4210128533","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014716343","display_name":"Guohe Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I194028371","display_name":"University of Regina","ror":"https://ror.org/03dzc0485","country_code":"CA","type":"education","lineage":["https://openalex.org/I194028371"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Guohe Huang","raw_affiliation_strings":["Institute for Energy,Environment and Sustainable Communities, University of Regina, Canada"],"affiliations":[{"raw_affiliation_string":"Institute for Energy,Environment and Sustainable Communities, University of Regina, Canada","institution_ids":["https://openalex.org/I194028371"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102831058"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210128533"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04354184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11186","display_name":"Hydrology and Drought Analysis","score":0.9998000264167786,"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/T11186","display_name":"Hydrology and Drought Analysis","score":0.9998000264167786,"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/T10029","display_name":"Climate variability and models","score":0.9574999809265137,"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/T10969","display_name":"Water resources management and optimization","score":0.9545000195503235,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/copula","display_name":"Copula (linguistics)","score":0.8441941738128662},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7916079759597778},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.6203175187110901},{"id":"https://openalex.org/keywords/dependability","display_name":"Dependability","score":0.5331786274909973},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5286664962768555},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4634056091308594},{"id":"https://openalex.org/keywords/risk-management","display_name":"Risk management","score":0.41876864433288574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3795021176338196},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.3386416435241699},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.25281327962875366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.183810293674469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13286983966827393},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1072518527507782},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09891793131828308},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09353023767471313}],"concepts":[{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.8441941738128662},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7916079759597778},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.6203175187110901},{"id":"https://openalex.org/C77019957","wikidata":"https://www.wikidata.org/wiki/Q2689057","display_name":"Dependability","level":2,"score":0.5331786274909973},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5286664962768555},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4634056091308594},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.41876864433288574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3795021176338196},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.3386416435241699},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.25281327962875366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.183810293674469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13286983966827393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1072518527507782},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09891793131828308},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09353023767471313},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3512850.3512863","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512850.3512863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 8th International Conference on Computing and Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2918125664","https://openalex.org/W2948971015","https://openalex.org/W2957237161","https://openalex.org/W2967174786","https://openalex.org/W2984576937","https://openalex.org/W3026295696","https://openalex.org/W3083420252"],"related_works":["https://openalex.org/W2178773193","https://openalex.org/W4387164954","https://openalex.org/W4399357228","https://openalex.org/W3124913437","https://openalex.org/W2406638334","https://openalex.org/W4292179272","https://openalex.org/W40745829","https://openalex.org/W4318262572","https://openalex.org/W1978357124","https://openalex.org/W1578824628"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"a":[3,37,105],"Bayesian":[4],"copula-based":[5],"spatial-temporal":[6],"analysis":[7],"(BCSA)":[8],"method":[9],"is":[10,72,93,116],"developed":[11],"for":[12,108,142],"multivariate":[13,123],"drought":[14,21,71,109,124,143],"risk":[15,125],"analysis.":[16],"BCSA":[17,33],"can":[18,47,103,138],"help":[19],"identify":[20],"variables":[22,29],"and":[23,31,58,65,77,81,99,121,132,145],"to":[24,36,85],"build":[25],"dependent":[26],"structure":[27],"of":[28,68],"(duration-severity":[30],"severity-area).":[32],"was":[34],"applied":[35],"real":[38],"case":[39],"in":[40,56,63,75],"Central":[41,51],"Asia":[42,52],"(1918-2018).":[43],"Some":[44],"major":[45],"findings":[46,137],"be":[48,127],"summarized:":[49],"(i)":[50],"suffered":[53],"72":[54],"droughts":[55,59],"1918-2018,":[57],"are":[60],"mainly":[61],"concentrated":[62],"Karaganda":[64],"Kyzylorda":[66],"states":[67],"Kazakhstan;":[69],"(ii)":[70],"more":[73],"frequent":[74],"spring":[76],"summer":[78],"than":[79,95],"autumn":[80],"winter;":[82],"(iii)":[83],"due":[84],"interaction":[86],"effect":[87],"on":[88],"variables,":[89],"joint":[90,100],"guarantee":[91,97,101],"rate":[92,102],"less":[94],"design":[96,114],"rate,":[98],"provide":[104,139],"new":[106],"reference":[107],"project":[110,146],"design;":[111],"(v)":[112],"when":[113],"dependability":[115],"0.99,":[117],"0.98,":[118],"0.95,":[119],"0.90":[120],"0.80,":[122],"would":[126],"3%\u223c7%,":[128],"6%\u223c14%,":[129],"13%\u223c27%,":[130],"23%\u223c39%":[131],"35%\u223c52%,":[133],"respectively.":[134],"The":[135],"above":[136],"decision":[140],"support":[141],"mitigation":[144],"management.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
