{"id":"https://openalex.org/W4382517074","doi":"https://doi.org/10.1007/s12145-023-01038-z","title":"Monthly runoff time series interval prediction based on WOA-VMD-LSTM using non-parametric kernel density estimation","display_name":"Monthly runoff time series interval prediction based on WOA-VMD-LSTM using non-parametric kernel density estimation","publication_year":2023,"publication_date":"2023-06-29","ids":{"openalex":"https://openalex.org/W4382517074","doi":"https://doi.org/10.1007/s12145-023-01038-z"},"language":"en","primary_location":{"id":"doi:10.1007/s12145-023-01038-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12145-023-01038-z","pdf_url":null,"source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","raw_type":"journal-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/A5074094490","display_name":"Wenchuan Wang","orcid":"https://orcid.org/0000-0003-1367-5886"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen-chuan Wang","raw_affiliation_strings":["College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People\u2019s Republic of China","College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People\u2019s Republic of China","institution_ids":["https://openalex.org/I198645480"]},{"raw_affiliation_string":"College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People's Republic of China","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092356915","display_name":"Bo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People\u2019s Republic of China","College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People\u2019s Republic of China","institution_ids":["https://openalex.org/I198645480"]},{"raw_affiliation_string":"College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People's Republic of China","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081904302","display_name":"Kwok\u2010wing Chau","orcid":"https://orcid.org/0000-0001-6457-161X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwok-wing Chau","raw_affiliation_strings":["Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People\u2019s Republic of China","Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People\u2019s Republic of China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People's Republic of China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101820573","display_name":"Dongmei Xu","orcid":"https://orcid.org/0000-0002-6178-4385"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong-mei Xu","raw_affiliation_strings":["College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People\u2019s Republic of China","College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People\u2019s Republic of China","institution_ids":["https://openalex.org/I198645480"]},{"raw_affiliation_string":"College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People's Republic of China","institution_ids":["https://openalex.org/I198645480"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074094490"],"corresponding_institution_ids":["https://openalex.org/I198645480"],"apc_list":{"value":2690,"currency":"EUR","value_usd":3390},"apc_paid":null,"fwci":4.2817,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94990283,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"16","issue":"3","first_page":"2373","last_page":"2389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9995999932289124,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9995999932289124,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/interval","display_name":"Interval (graph theory)","score":0.627453088760376},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5981420874595642},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5979839563369751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5861765742301941},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5739874243736267},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5019433498382568},{"id":"https://openalex.org/keywords/interval-estimation","display_name":"Interval estimation","score":0.4880129396915436},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.47106024622917175},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45011767745018005},{"id":"https://openalex.org/keywords/surface-runoff","display_name":"Surface runoff","score":0.43561872839927673},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4227885603904724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36499327421188354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30115991830825806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29005011916160583},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26184970140457153},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.18910527229309082},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08447155356407166}],"concepts":[{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.627453088760376},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5981420874595642},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5979839563369751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5861765742301941},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5739874243736267},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5019433498382568},{"id":"https://openalex.org/C205167067","wikidata":"https://www.wikidata.org/wiki/Q3300636","display_name":"Interval estimation","level":3,"score":0.4880129396915436},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.47106024622917175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45011767745018005},{"id":"https://openalex.org/C50477045","wikidata":"https://www.wikidata.org/wiki/Q1444790","display_name":"Surface runoff","level":2,"score":0.43561872839927673},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4227885603904724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36499327421188354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30115991830825806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29005011916160583},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26184970140457153},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.18910527229309082},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08447155356407166},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12145-023-01038-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12145-023-01038-z","pdf_url":null,"source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1175502716","https://openalex.org/W2000982976","https://openalex.org/W2019564919","https://openalex.org/W2064675550","https://openalex.org/W2290883490","https://openalex.org/W2460819813","https://openalex.org/W2526687184","https://openalex.org/W2622931222","https://openalex.org/W2804523998","https://openalex.org/W2900523186","https://openalex.org/W2901196033","https://openalex.org/W2902101903","https://openalex.org/W2908910276","https://openalex.org/W2909474405","https://openalex.org/W2955318707","https://openalex.org/W3004766562","https://openalex.org/W3007162143","https://openalex.org/W3010363622","https://openalex.org/W3014543992","https://openalex.org/W3036105520","https://openalex.org/W3036420208","https://openalex.org/W3085427670","https://openalex.org/W3088424316","https://openalex.org/W3088887250","https://openalex.org/W3117401904","https://openalex.org/W3131324180","https://openalex.org/W3140878669","https://openalex.org/W3148482332","https://openalex.org/W3151222643","https://openalex.org/W3159163469","https://openalex.org/W3159378333","https://openalex.org/W3161127126","https://openalex.org/W3162408508","https://openalex.org/W3164779581","https://openalex.org/W3166128589","https://openalex.org/W3169262230","https://openalex.org/W3179418020","https://openalex.org/W3180993110","https://openalex.org/W3185907348","https://openalex.org/W3195723815","https://openalex.org/W3198942050","https://openalex.org/W3200717691","https://openalex.org/W3200884240","https://openalex.org/W3203758122","https://openalex.org/W3204972472","https://openalex.org/W4200249189","https://openalex.org/W4210324728","https://openalex.org/W4210662330","https://openalex.org/W4210757535","https://openalex.org/W4213153458","https://openalex.org/W4213381583","https://openalex.org/W4214483270","https://openalex.org/W4214607564","https://openalex.org/W4214931020","https://openalex.org/W4220682646","https://openalex.org/W4220843534","https://openalex.org/W4244838608","https://openalex.org/W4283771106","https://openalex.org/W4317658925","https://openalex.org/W4321352891","https://openalex.org/W4362465188"],"related_works":["https://openalex.org/W2792447872","https://openalex.org/W2054461511","https://openalex.org/W3110408977","https://openalex.org/W2371790036","https://openalex.org/W3150758196","https://openalex.org/W2377305886","https://openalex.org/W4296706127","https://openalex.org/W4224269771","https://openalex.org/W2385372034","https://openalex.org/W129862116"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}