IHB OpenIR  > 期刊论文
Modelling algal blooms in Lake Dianchi, China using neural networks
Li, Hongbin; Hou, Guoxiang; Song, Lirong; Liu, Yongding; Hou, GX, Huazhong Univ Sci & Technol, Dept Ocean Sci & Engn, 1037 Luoyu Rd, Wuhan 430074, Peoples R China
2007
Source PublicationFRESENIUS ENVIRONMENTAL BULLETIN
ISSN1018-4619
Volume16Issue:7Pages:798-803
AbstractLake Dianchi is one of the most extensively impacted freshwater lakes by algal blooms. To investigate the response of dominant algal genera, neural networks were applied to model the relationship between water quality parameters and the biomass of four dominant genera (Microcystic spp., Anabaena sp., Quadricauda (Turp.) Breb, Pediastrum Mey) in Dianchi. Results showed that the timing and magnitude of algal blooms of Microcystic spp., nabaena sp., Quadricauda (Turp.) Breb, and Pediastrum Mey in Dianchi could be successfully predicted. The evaluation of environmental factors showed that pH had more significant impact on concentrations of all the four dominant algal genera than the nutrient factors, such as total phosphorus and total nitrogen.; Lake Dianchi is one of the most extensively impacted freshwater lakes by algal blooms. To investigate the response of dominant algal genera, neural networks were applied to model the relationship between water quality parameters and the biomass of four dominant genera (Microcystic spp., Anabaena sp., Quadricauda (Turp.) Breb, Pediastrum Mey) in Dianchi. Results showed that the timing and magnitude of algal blooms of Microcystic spp., nabaena sp., Quadricauda (Turp.) Breb, and Pediastrum Mey in Dianchi could be successfully predicted. The evaluation of environmental factors showed that pH had more significant impact on concentrations of all the four dominant algal genera than the nutrient factors, such as total phosphorus and total nitrogen.
SubtypeArticle
KeywordAlgal Dynamics Algal Bloom Neural Network Ph Sensitivity Analysis
DepartmentHuazhong Univ Sci & Technol, Dept Ocean Sci & Engn, Wuhan 430074, Peoples R China; Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China
Subject AreaEnvironmental Sciences
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000248571800014
WOS KeywordCROSS-VALIDATION
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/152342/8492
Collection期刊论文
Corresponding AuthorHou, GX, Huazhong Univ Sci & Technol, Dept Ocean Sci & Engn, 1037 Luoyu Rd, Wuhan 430074, Peoples R China
Affiliation1.Huazhong Univ Sci & Technol, Dept Ocean Sci & Engn, Wuhan 430074, Peoples R China
2.Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China
Recommended Citation
GB/T 7714
Li, Hongbin,Hou, Guoxiang,Song, Lirong,et al. Modelling algal blooms in Lake Dianchi, China using neural networks[J]. FRESENIUS ENVIRONMENTAL BULLETIN,2007,16(7):798-803.
APA Li, Hongbin,Hou, Guoxiang,Song, Lirong,Liu, Yongding,&Hou, GX, Huazhong Univ Sci & Technol, Dept Ocean Sci & Engn, 1037 Luoyu Rd, Wuhan 430074, Peoples R China.(2007).Modelling algal blooms in Lake Dianchi, China using neural networks.FRESENIUS ENVIRONMENTAL BULLETIN,16(7),798-803.
MLA Li, Hongbin,et al."Modelling algal blooms in Lake Dianchi, China using neural networks".FRESENIUS ENVIRONMENTAL BULLETIN 16.7(2007):798-803.
Files in This Item:
File Name/Size DocType Version Access License
Modelling algal bloo(510KB) 开放获取--View Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Hongbin]'s Articles
[Hou, Guoxiang]'s Articles
[Song, Lirong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Hongbin]'s Articles
[Hou, Guoxiang]'s Articles
[Song, Lirong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Hongbin]'s Articles
[Hou, Guoxiang]'s Articles
[Song, Lirong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Modelling algal blooms in Lake Dianchi, China using neural networks.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.