{"id":"https://openalex.org/W7124937441","doi":"https://doi.org/10.1109/cloudcom67567.2025.11331332","title":"A Taihu Lake Sediment Accumulation Prediction Model Based on Bi-LSTM and Causal Attention Mechanism","display_name":"A Taihu Lake Sediment Accumulation Prediction Model Based on Bi-LSTM and Causal Attention Mechanism","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W7124937441","doi":"https://doi.org/10.1109/cloudcom67567.2025.11331332"},"language":null,"primary_location":{"id":"doi:10.1109/cloudcom67567.2025.11331332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cloudcom67567.2025.11331332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 lEEE International Conference on Cloud Computing Technology and Science (CloudCom)","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/A5123436704","display_name":"Xiaoliang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099662","display_name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","ror":"https://ror.org/012wsxz85","country_code":"CN","type":"facility","lineage":["https://openalex.org/I163340411","https://openalex.org/I4210099662","https://openalex.org/I4210111986","https://openalex.org/I4210120069","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoliang Yu","raw_affiliation_strings":["The Taihu Lake Lake Basin Hydrology and Water Resources Monitoring Center,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"The Taihu Lake Lake Basin Hydrology and Water Resources Monitoring Center,Wuxi,China","institution_ids":["https://openalex.org/I4210099662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123412711","display_name":"Cun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099662","display_name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","ror":"https://ror.org/012wsxz85","country_code":"CN","type":"facility","lineage":["https://openalex.org/I163340411","https://openalex.org/I4210099662","https://openalex.org/I4210111986","https://openalex.org/I4210120069","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cun Liu","raw_affiliation_strings":["The Taihu Lake Lake Basin Hydrology and Water Resources Monitoring Center,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"The Taihu Lake Lake Basin Hydrology and Water Resources Monitoring Center,Wuxi,China","institution_ids":["https://openalex.org/I4210099662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101511046","display_name":"Yingjun Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119683","display_name":"Zhejiang Water Conservancy and Hydropower Survey and Design Institute","ror":"https://ror.org/02n6dhr29","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210119683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjun Sun","raw_affiliation_strings":["Zhejiang Hydrological Management Center,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Hydrological Management Center,Hangzhou,China","institution_ids":["https://openalex.org/I4210119683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111215678","display_name":"Yadong Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099662","display_name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","ror":"https://ror.org/012wsxz85","country_code":"CN","type":"facility","lineage":["https://openalex.org/I163340411","https://openalex.org/I4210099662","https://openalex.org/I4210111986","https://openalex.org/I4210120069","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Shi","raw_affiliation_strings":["The Taihu Lake Lake Basin Hydrology and Water Resources Monitoring Center,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"The Taihu Lake Lake Basin Hydrology and Water Resources Monitoring Center,Wuxi,China","institution_ids":["https://openalex.org/I4210099662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020103502","display_name":"Junchao Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junchao Yuan","raw_affiliation_strings":["Zhejiang A &#x0026; F University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang A &#x0026; F University,Hangzhou,China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063005964","display_name":"Kai Fang","orcid":"https://orcid.org/0000-0003-0419-1468"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Fang","raw_affiliation_strings":["Zhejiang A &#x0026; F University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang A &#x0026; F University,Hangzhou,China","institution_ids":["https://openalex.org/I1284762954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5123436704"],"corresponding_institution_ids":["https://openalex.org/I4210099662"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.62492896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.8636999726295471,"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":0.8636999726295471,"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/T10236","display_name":"Aquatic Ecosystems and Phytoplankton Dynamics","score":0.027899999171495438,"subfield":{"id":"https://openalex.org/subfields/2304","display_name":"Environmental Chemistry"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.026900000870227814,"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/sediment","display_name":"Sediment","score":0.7110000252723694},{"id":"https://openalex.org/keywords/eutrophication","display_name":"Eutrophication","score":0.59579998254776},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5885000228881836},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42480000853538513},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.40700000524520874},{"id":"https://openalex.org/keywords/hydrology","display_name":"Hydrology (agriculture)","score":0.37049999833106995}],"concepts":[{"id":"https://openalex.org/C2816523","wikidata":"https://www.wikidata.org/wiki/Q180184","display_name":"Sediment","level":2,"score":0.7110000252723694},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6739000082015991},{"id":"https://openalex.org/C186699998","wikidata":"https://www.wikidata.org/wiki/Q156698","display_name":"Eutrophication","level":3,"score":0.59579998254776},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5885000228881836},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.40700000524520874},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.37049999833106995},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.36329999566078186},{"id":"https://openalex.org/C142796444","wikidata":"https://www.wikidata.org/wiki/Q181394","display_name":"Nutrient","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34139999747276306},{"id":"https://openalex.org/C64297162","wikidata":"https://www.wikidata.org/wiki/Q1987070","display_name":"Deposition (geology)","level":3,"score":0.32760000228881836},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C2780083587","wikidata":"https://www.wikidata.org/wiki/Q5308081","display_name":"Driving factors","level":3,"score":0.2687999904155731},{"id":"https://openalex.org/C133199616","wikidata":"https://www.wikidata.org/wiki/Q25386885","display_name":"Empirical modelling","level":2,"score":0.2678999900817871}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cloudcom67567.2025.11331332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cloudcom67567.2025.11331332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 lEEE International Conference on Cloud Computing Technology and Science (CloudCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.4604488015174866,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W3078314951","https://openalex.org/W3110757093","https://openalex.org/W3134411029","https://openalex.org/W3162538444","https://openalex.org/W3173193801","https://openalex.org/W4211180785","https://openalex.org/W4214576234","https://openalex.org/W4296913565","https://openalex.org/W4311521102","https://openalex.org/W4313306374","https://openalex.org/W4318033589","https://openalex.org/W4381033746","https://openalex.org/W4385451462","https://openalex.org/W4390009446","https://openalex.org/W4391260543","https://openalex.org/W4399775126","https://openalex.org/W4400491441","https://openalex.org/W4401741701","https://openalex.org/W4402469109","https://openalex.org/W4404238641","https://openalex.org/W4410077163","https://openalex.org/W4410300343"],"related_works":[],"abstract_inverted_index":{"Taihu":[0,98,197,217],"Lake,":[1],"as":[2,16],"a":[3,33,75,87,127,175,183],"typical":[4],"large":[5],"shallow":[6],"lake":[7,68],"in":[8,13,97,119,158,190,216],"China,":[9],"contains":[10],"sediments":[11],"rich":[12],"nutrients":[14,21],"such":[15],"nitrogen":[17],"and":[18,31,50,56,106,116,148,162,182,224,232],"phosphorus.":[19],"These":[20],"are":[22,54],"prone":[23],"to":[24,36,62,113,140],"re-release":[25],"under":[26],"wind-wave":[27],"disturbances,":[28],"triggering":[29],"eutrophication":[30],"posing":[32],"serious":[34],"threat":[35],"water":[37],"environmental":[38],"safety.":[39],"Existing":[40],"sediment":[41,95,120,192,215,230],"accumulation":[42,96,193],"prediction":[43,93,160,194],"methods":[44],"mainly":[45],"rely":[46],"on":[47],"manual":[48],"sampling":[49],"physical":[51],"modeling,":[52],"which":[53],"costly":[55],"lack":[57],"timeliness,":[58],"making":[59],"them":[60],"insufficient":[61],"meet":[63],"the":[64,111,124,137,153,168,191,203,210],"needs":[65],"of":[66,94,126,180,185,188,214,235],"dynamic":[67,229],"management.":[69],"To":[70],"address":[71],"this,":[72],"we":[73],"propose":[74],"BC-LSTM":[76,154,204],"model":[77,112,169,205],"that":[78,202],"integrates":[79],"Bidirectional":[80],"Long":[81],"Short-Term":[82],"Memory":[83],"(Bi-LSTM)":[84],"networks":[85],"with":[86,144,174],"Causal":[88],"Attention":[89],"Mechanism":[90],"for":[91,196,228],"time-series":[92],"Lake.":[99,198],"The":[100,199],"Bi-LSTM":[101],"structure":[102],"captures":[103,209],"both":[104,159],"historical":[105],"future":[107],"sequence":[108],"features,":[109],"enabling":[110],"learn":[114],"long-term":[115],"latent":[117],"dependencies":[118],"deposition":[121],"comprehensively.":[122],"Meanwhile,":[123],"introduction":[125],"causal":[128],"attention":[129],"mechanism":[130],"effectively":[131],"identifies":[132],"critical":[133],"temporal":[134],"changes,":[135],"enhancing":[136],"model's":[138],"responsiveness":[139],"nonlinear":[141,211],"disturbances.":[142],"Compared":[143],"traditional":[145],"machine":[146],"learning":[147,151],"existing":[149],"deep":[150],"models,":[152],"demonstrates":[155],"superior":[156],"performance":[157,173],"accuracy":[161],"stability.":[163],"Supported":[164],"by":[165],"empirical":[166],"data,":[167],"achieves":[170],"an":[171,222],"outstanding":[172],"Mean":[176],"Squared":[177],"Error":[178],"(MSE)":[179],"0.01":[181],"coefficient":[184],"determination":[186],"(R2)":[187],"95.40%":[189],"task":[195],"results":[200],"indicate":[201],"not":[206],"only":[207],"accurately":[208],"variation":[212],"trends":[213],"Lake":[218],"but":[219],"also":[220],"provides":[221],"efficient":[223],"reliable":[225],"technical":[226],"foundation":[227],"monitoring":[231],"ecological":[233],"management":[234],"lakes.":[236]},"counts_by_year":[],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2026-01-21T00:00:00"}
