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Modeling of cyanobacterial blooms in hypereutrophic Lake Dianchi, China
Hou, GX; Song, LR; Liu, JT; Xiao, BD; Liu, YD; Liu, YD, Chinese Acad Sci, Inst Hydrol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
2004-12-01
Source PublicationJOURNAL OF FRESHWATER ECOLOGY
ISSN0270-5060
Volume19Issue:4Pages:623-629
AbstractCompared with other approaches for modeling and predicting, artificial neural networks are more effective in describing complex and non-linear systems. The occurrence of cyanobacterial blooms has been a continuous and serious problem over the past decades in hypereutrophic Lake Dianchi. Yet, the main factor(s) initiating these blooms remain(s) unclear. During 2001-2002 at 40 sampling sites in Lake Dianchi, physicochemical parameters possibly relating to the blooms were measured. Parameters directly or indirectly relating to the cyanobacterial blooms were used as driving factors in a back-propagation network to model the concentration of chlorophyll a. According to sensitivity analysis, chemical oxygen demand was identified as a very significant environmental factor for algal growth in Lake Dianchi.; Compared with other approaches for modeling and predicting, artificial neural networks are more effective in describing complex and non-linear systems. The occurrence of cyanobacterial blooms has been a continuous and serious problem over the past decades in hypereutrophic Lake Dianchi. Yet, the main factor(s) initiating these blooms remain(s) unclear. During 2001-2002 at 40 sampling sites in Lake Dianchi, physicochemical parameters possibly relating to the blooms were measured. Parameters directly or indirectly relating to the cyanobacterial blooms were used as driving factors in a back-propagation network to model the concentration of chlorophyll a. According to sensitivity analysis, chemical oxygen demand was identified as a very significant environmental factor for algal growth in Lake Dianchi.
SubtypeArticle
KeywordNeural Networks
DepartmentChinese Acad Sci, Inst Hydrol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
Subject AreaEcology ; Limnology
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology ; Marine & Freshwater Biology
WOS SubjectEcology ; Limnology
WOS IDWOS:000225656300013
WOS KeywordNEURAL NETWORKS
Citation statistics
Cited Times:26[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/152342/9360
Collection期刊论文
Corresponding AuthorLiu, YD, Chinese Acad Sci, Inst Hydrol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
AffiliationChinese Acad Sci, Inst Hydrol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
Recommended Citation
GB/T 7714
Hou, GX,Song, LR,Liu, JT,et al. Modeling of cyanobacterial blooms in hypereutrophic Lake Dianchi, China[J]. JOURNAL OF FRESHWATER ECOLOGY,2004,19(4):623-629.
APA Hou, GX,Song, LR,Liu, JT,Xiao, BD,Liu, YD,&Liu, YD, Chinese Acad Sci, Inst Hydrol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China.(2004).Modeling of cyanobacterial blooms in hypereutrophic Lake Dianchi, China.JOURNAL OF FRESHWATER ECOLOGY,19(4),623-629.
MLA Hou, GX,et al."Modeling of cyanobacterial blooms in hypereutrophic Lake Dianchi, China".JOURNAL OF FRESHWATER ECOLOGY 19.4(2004):623-629.
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