{"id":"https://openalex.org/W2767297509","doi":"https://doi.org/10.3390/e19110597","title":"Comparison of Two Entropy Spectral Analysis Methods for Streamflow Forecasting in Northwest China","display_name":"Comparison of Two Entropy Spectral Analysis Methods for Streamflow Forecasting in Northwest China","publication_year":2017,"publication_date":"2017-11-07","ids":{"openalex":"https://openalex.org/W2767297509","doi":"https://doi.org/10.3390/e19110597","mag":"2767297509"},"language":"en","primary_location":{"id":"doi:10.3390/e19110597","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19110597","pdf_url":"https://www.mdpi.com/1099-4300/19/11/597/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/19/11/597/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073740163","display_name":"Zhenghong Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghong Zhou","raw_affiliation_strings":["College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China","institution_ids":["https://openalex.org/I89652312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075876001","display_name":"Juanli Ju","orcid":null},"institutions":[{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juanli Ju","raw_affiliation_strings":["College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China","institution_ids":["https://openalex.org/I89652312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031966994","display_name":"Xiaoling Su","orcid":"https://orcid.org/0000-0002-8060-6701"},"institutions":[{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Su","raw_affiliation_strings":["College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China","institution_ids":["https://openalex.org/I89652312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021563239","display_name":"Vijay P. Singh","orcid":"https://orcid.org/0000-0002-5584-2067"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Singh","raw_affiliation_strings":["Department of Biological & Agricultural Engineering and Zachry Department of Civil Engineering, Texas A&M University, 2117 TAMU, College Station, TX 77843, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biological & Agricultural Engineering and Zachry Department of Civil Engineering, Texas A&M University, 2117 TAMU, College Station, TX 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010721329","display_name":"Gengxi Zhang","orcid":"https://orcid.org/0000-0002-8218-8910"},"institutions":[{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengxi Zhang","raw_affiliation_strings":["College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China","institution_ids":["https://openalex.org/I89652312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075876001"],"corresponding_institution_ids":["https://openalex.org/I89652312"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.5948,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68299386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"19","issue":"11","first_page":"597","last_page":"597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9955000281333923,"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":0.9955000281333923,"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/T11186","display_name":"Hydrology and Drought Analysis","score":0.9950000047683716,"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":0.9836999773979187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/streamflow","display_name":"Streamflow","score":0.7689546942710876},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.5952092409133911},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.49127429723739624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4573192000389099},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4519387185573578},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4440147280693054},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3874678313732147},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.3706226348876953},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.30800747871398926},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30500391125679016},{"id":"https://openalex.org/keywords/drainage-basin","display_name":"Drainage basin","score":0.2012079954147339},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19135454297065735},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.172275573015213},{"id":"https://openalex.org/keywords/spectroscopy","display_name":"Spectroscopy","score":0.13578596711158752},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09760332107543945}],"concepts":[{"id":"https://openalex.org/C53739315","wikidata":"https://www.wikidata.org/wiki/Q29425295","display_name":"Streamflow","level":3,"score":0.7689546942710876},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.5952092409133911},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.49127429723739624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4573192000389099},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4519387185573578},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4440147280693054},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3874678313732147},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.3706226348876953},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.30800747871398926},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30500391125679016},{"id":"https://openalex.org/C126645576","wikidata":"https://www.wikidata.org/wiki/Q166620","display_name":"Drainage basin","level":2,"score":0.2012079954147339},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19135454297065735},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.172275573015213},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.13578596711158752},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09760332107543945},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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":3,"locations":[{"id":"doi:10.3390/e19110597","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19110597","pdf_url":"https://www.mdpi.com/1099-4300/19/11/597/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9b2728e9bc134493a9bb98ac2099132a","is_oa":true,"landing_page_url":"https://doaj.org/article/9b2728e9bc134493a9bb98ac2099132a","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 19, Iss 11, p 597 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/19/11/597/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e19110597","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 19; Issue 11; Pages: 597","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e19110597","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19110597","pdf_url":"https://www.mdpi.com/1099-4300/19/11/597/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G167267378","display_name":null,"funder_award_id":"No. 51279166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1849125423","display_name":null,"funder_award_id":"No. 51409222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6419833478","display_name":null,"funder_award_id":"No. 91425302","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":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2767297509.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W833761744","https://openalex.org/W1542181464","https://openalex.org/W1977828379","https://openalex.org/W1992259515","https://openalex.org/W2002624803","https://openalex.org/W2006099917","https://openalex.org/W2006599158","https://openalex.org/W2018693764","https://openalex.org/W2023416244","https://openalex.org/W2024695206","https://openalex.org/W2033904036","https://openalex.org/W2049549297","https://openalex.org/W2052797528","https://openalex.org/W2055221663","https://openalex.org/W2061342019","https://openalex.org/W2074554053","https://openalex.org/W2075249616","https://openalex.org/W2077498628","https://openalex.org/W2078403926","https://openalex.org/W2085054891","https://openalex.org/W2089576073","https://openalex.org/W2118682620","https://openalex.org/W2163122003","https://openalex.org/W2166361350","https://openalex.org/W2168175751","https://openalex.org/W2349609902","https://openalex.org/W2497023285","https://openalex.org/W2519184417","https://openalex.org/W6629474112","https://openalex.org/W7033651342"],"related_works":["https://openalex.org/W2439644404","https://openalex.org/W3174343427","https://openalex.org/W98325756","https://openalex.org/W2061279527","https://openalex.org/W105199006","https://openalex.org/W4213385761","https://openalex.org/W2000979301","https://openalex.org/W2335811955","https://openalex.org/W4382982879","https://openalex.org/W4311044000"],"abstract_inverted_index":{"Monthly":[0],"streamflow":[1,59,111,127],"has":[2],"elements":[3],"of":[4,53,75,90,119],"stochasticity,":[5],"seasonality,":[6],"and":[7,11,24,34,43,55,93,107],"periodicity.":[8],"Spectral":[9],"analysis":[10,14,32,38,42],"time":[12,44],"series":[13,45],"can,":[15],"respectively,":[16],"be":[17],"employed":[18],"to":[19,71],"characterize":[20],"the":[21,25,50,73,126,131,134],"periodical":[22],"pattern":[23],"stochastic":[26],"pattern.":[27],"Both":[28],"Burg":[29],"entropy":[30,36,78],"spectral":[31,37,41,79],"(BESA)":[33],"configurational":[35],"(CESA)":[39],"combine":[40],"analysis.":[46],"This":[47],"study":[48],"compared":[49],"predictive":[51],"performances":[52,74],"BESA":[54,106,120],"CESA":[56,108],"for":[57],"monthly":[58,110],"forecasting":[60],"in":[61,64,102],"six":[62],"basins":[63],"Northwest":[65,103],"China.":[66],"Four":[67],"criteria":[68],"were":[69],"selected":[70],"evaluate":[72],"these":[76],"two":[77],"analyses:":[80],"relative":[81],"error":[82,87],"(RE),":[83],"root":[84],"mean":[85],"square":[86],"(RMSE),":[88],"coefficient":[89,96],"determination":[91],"(R2),":[92],"Nash\u2013Sutcliffe":[94],"efficiency":[95],"(NSE).":[97],"It":[98],"was":[99],"found":[100],"that":[101],"China,":[104],"both":[105],"forecasted":[109],"well":[112],"with":[113,128],"strong":[114],"correlation.":[115],"The":[116],"forecast":[117],"accuracy":[118],"is":[121,133],"higher":[122],"than":[123],"CESA.":[124],"For":[125],"weak":[129],"correlation,":[130],"conclusion":[132],"opposite.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2017-11-17T00:00:00"}
