{"id":"https://openalex.org/W3169740471","doi":"https://doi.org/10.3390/s21123954","title":"A New Approach for Estimating Dissolved Oxygen Based on a High-Accuracy Surface Modeling Method","display_name":"A New Approach for Estimating Dissolved Oxygen Based on a High-Accuracy Surface Modeling Method","publication_year":2021,"publication_date":"2021-06-08","ids":{"openalex":"https://openalex.org/W3169740471","doi":"https://doi.org/10.3390/s21123954","mag":"3169740471","pmid":"https://pubmed.ncbi.nlm.nih.gov/34201197"},"language":"en","primary_location":{"id":"doi:10.3390/s21123954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21123954","pdf_url":"https://www.mdpi.com/1424-8220/21/12/3954/pdf?version=1624343645","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/12/3954/pdf?version=1624343645","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080928808","display_name":"Na Zhao","orcid":"https://orcid.org/0000-0002-4434-1726"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210141657","display_name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application","ror":"https://ror.org/045yewh40","country_code":"CN","type":"facility","lineage":["https://openalex.org/I152031979","https://openalex.org/I4210141657"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Na Zhao","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100101, China","Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing 210023, China","State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"],"raw_orcid":"https://orcid.org/0000-0002-4434-1726","affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing 210023, China","institution_ids":["https://openalex.org/I4210141657"]},{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060255319","display_name":"Zemeng Fan","orcid":"https://orcid.org/0000-0002-0008-2574"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zemeng Fan","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100101, China","State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102677806","display_name":"Miaomiao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaomiao Zhao","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060255319","https://openalex.org/A5080928808"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210141657","https://openalex.org/I4210160793","https://openalex.org/I4210165038"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.1847,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.74287137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"12","first_page":"3954","last_page":"3954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11311","display_name":"Soil and Water Nutrient Dynamics","score":0.9909999966621399,"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"}},"topics":[{"id":"https://openalex.org/T11311","display_name":"Soil and Water Nutrient Dynamics","score":0.9909999966621399,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9891999959945679,"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/T11634","display_name":"Water Quality and Pollution Assessment","score":0.987500011920929,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7760428190231323},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7146933674812317},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5013346672058105},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4851406514644623},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.47530803084373474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4611722528934479},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41743195056915283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3786316215991974},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3404252529144287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21595355868339539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18935036659240723}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7760428190231323},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7146933674812317},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5013346672058105},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4851406514644623},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.47530803084373474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4611722528934479},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41743195056915283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3786316215991974},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3404252529144287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21595355868339539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18935036659240723},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":[{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004784","descriptor_name":"Environmental Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004784","descriptor_name":"Environmental Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004784","descriptor_name":"Environmental Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010100","descriptor_name":"Oxygen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010100","descriptor_name":"Oxygen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010100","descriptor_name":"Oxygen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060753","descriptor_name":"Water Quality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060753","descriptor_name":"Water Quality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060753","descriptor_name":"Water Quality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21123954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21123954","pdf_url":"https://www.mdpi.com/1424-8220/21/12/3954/pdf?version=1624343645","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:34201197","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34201197","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:92e29d22cef84680915df07889c03234","is_oa":true,"landing_page_url":"https://doaj.org/article/92e29d22cef84680915df07889c03234","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":"Sensors, Vol 21, Iss 12, p 3954 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/12/3954/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21123954","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":"Sensors; Volume 21; Issue 12; Pages: 3954","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8229124","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8229124","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21123954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21123954","pdf_url":"https://www.mdpi.com/1424-8220/21/12/3954/pdf?version=1624343645","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G1202439639","display_name":"HASM\u5168\u5c40\u9884\u6d4b\u80fd\u529b\u8bc1\u660e\u53ca\u5730\u8868\u8981\u7d20\u9ad8\u7cbe\u5ea6\u66f2\u9762\u52a8\u6001\u5efa\u6a21","funder_award_id":"41930647","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2075387602","display_name":null,"funder_award_id":"ZDBS-LY-DQC005","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G2319710449","display_name":"\u57fa\u4e8e\u80fd\u91cf\u6cdb\u51fd\u6a21\u578b\u7684\u591a\u6e90\u591a\u5c3a\u5ea6\u964d\u6c34\u878d\u5408\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42071374","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3257768090","display_name":null,"funder_award_id":"42071374","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G6747337864","display_name":null,"funder_award_id":"ZDBS-LY-DQC005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G722892822","display_name":null,"funder_award_id":"41930647","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3169740471.pdf","grobid_xml":"https://content.openalex.org/works/W3169740471.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1606299973","https://openalex.org/W1966808625","https://openalex.org/W1968245576","https://openalex.org/W1978409972","https://openalex.org/W1979344016","https://openalex.org/W1983373379","https://openalex.org/W1984509278","https://openalex.org/W1989791028","https://openalex.org/W2007272376","https://openalex.org/W2011181254","https://openalex.org/W2013857630","https://openalex.org/W2020656512","https://openalex.org/W2021254174","https://openalex.org/W2036739943","https://openalex.org/W2048337280","https://openalex.org/W2050344631","https://openalex.org/W2051535566","https://openalex.org/W2054889803","https://openalex.org/W2056176941","https://openalex.org/W2065818856","https://openalex.org/W2070389307","https://openalex.org/W2072462195","https://openalex.org/W2083056850","https://openalex.org/W2118286367","https://openalex.org/W2120203669","https://openalex.org/W2120388142","https://openalex.org/W2152777025","https://openalex.org/W2315555627","https://openalex.org/W2513884524","https://openalex.org/W2549194668","https://openalex.org/W2568988948","https://openalex.org/W2588770771","https://openalex.org/W2613488195","https://openalex.org/W2746888353","https://openalex.org/W2751646556","https://openalex.org/W2781567654","https://openalex.org/W2792277382","https://openalex.org/W2894906331","https://openalex.org/W2924475273","https://openalex.org/W2966395277","https://openalex.org/W2970947125","https://openalex.org/W2986897368","https://openalex.org/W2991230885","https://openalex.org/W3003624317","https://openalex.org/W3008439211","https://openalex.org/W3014835815","https://openalex.org/W3016579265","https://openalex.org/W3021429973","https://openalex.org/W3086048481","https://openalex.org/W3091911401","https://openalex.org/W3159500050","https://openalex.org/W4206050463","https://openalex.org/W4229562638","https://openalex.org/W4244398993","https://openalex.org/W6677955263","https://openalex.org/W6737459933","https://openalex.org/W6760803709","https://openalex.org/W6795196843","https://openalex.org/W6931948573"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2102148524","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W2980611886","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W42295635"],"abstract_inverted_index":{"Dissolved":[0],"oxygen":[1],"(DO)":[2],"is":[3,64,89,128,177],"a":[4,34,60,92,105,122,151,195,220],"direct":[5],"indicator":[6],"of":[7,25,52,85,95,103,136,150,167,199,204],"water":[8,13],"pollution":[9],"and":[10,50,110,131,140,183,187,202,212],"an":[11],"important":[12],"quality":[14,166],"parameter":[15],"that":[16,115,127,175],"affects":[17],"aquatic":[18],"life.":[19],"Based":[20],"on":[21],"the":[22,30,47,67,101,118,138,145,165,168,207,225],"fundamental":[23],"theorem":[24],"surfaces":[26],"in":[27],"differential":[28],"geometry,":[29],"present":[31],"study":[32,94,209],"proposes":[33],"new":[35,221],"modeling":[36,70],"approach":[37],"to":[38,56,160,179,223],"estimate":[39,181,224],"DO":[40,53,169,226],"concentrations":[41],"with":[42,54,79,121,158,194,228],"high":[43,229],"accuracy":[44],"by":[45,73,99,143,155],"assessing":[46],"spatial":[48],"correlation":[49],"heterogeneity":[51],"respect":[55,159],"explanatory":[57],"variables.":[58],"Specifically,":[59],"regularization":[61,152],"penalty":[62,153],"term":[63,154],"integrated":[65],"into":[66],"high-accuracy":[68],"surface":[69],"(HASM)":[71],"method":[72],"applying":[74],"geographically":[75],"weighted":[76],"regression":[77],"(GWR)":[78],"some":[80],"covariates.":[81],"A":[82],"modified":[83],"version":[84],"HASM,":[86,104,137],"namely":[87],"HASM_MOD,":[88,218],"illustrated":[90],"through":[91],"case":[93],"Poyang":[96],"Lake,":[97],"China,":[98],"comparing":[100],"results":[102,113,172],"support":[106],"vector":[107],"machine":[108],"(SVM),":[109],"cokriging.":[111],"The":[112,148,171,215],"indicate":[114],"HASM_MOD":[116,176],"yields":[117],"best":[119],"performance,":[120],"mean":[123],"absolute":[124],"error":[125,197],"(MAE)":[126],"38%,":[129],"45%,":[130],"42%":[132],"lower":[133],"than":[134],"those":[135],"SVM,":[139],"cokriging,":[141],"respectively,":[142],"using":[144,156,192],"cross-validation":[146],"method.":[147],"introduction":[149],"GWR":[157],"covariates":[161],"can":[162],"effectively":[163,180],"improve":[164],"estimates.":[170],"also":[173],"suggest":[174],"able":[178],"nonlinear":[182],"nonstationary":[184],"time":[185],"series":[186],"outperforms":[188],"three":[189],"other":[190],"methods":[191],"cross-validation,":[193],"root-mean-square":[196],"(RMSE)":[198],"0.20":[200],"mg/L":[201],"R2":[203],"0.93":[205],"for":[206],"two":[208],"sites":[210],"(Sanshan":[211],"Outlet_A":[213],"stations).":[214],"proposed":[216],"method,":[217],"provides":[219],"way":[222],"concentration":[227],"accuracy.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
