DocumentCode
2509899
Title
Notice of Retraction
Health Assessment of Urban Landscape River
Author
Yan-Wei Zhao ; Xin-Feng Wei ; Yun-Xiang Luo ; Xiao-Fei Lu
Author_Institution
State Key Lab. of Water Environ. Simulation, Beijing Normal Univ., Beijing, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
5
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The studies on the assessment of urban landscape river health are scarce. The aggregative indicator approach, which is commonly used currently, has the deficiencies of burying the variance among the indicators and often results in imperfect answer. An integrated assessment procedure, combining the key limiting indicators with aggregative indicators, is put forward. The aggregative indicators system includes the indicator of 4 aspects, that is, vigour, resilience, organization and landscape services. DO concentration, velocities of flow, Water level satisfaction rate, channel solidification index, Shanner- weaver diversity index of macro-benthicinvertebrate and Smell intensity grade are screened out as key limiting indicators, and Bayes Discriminant Analysis is introduced as calculation method. The results of Zhuanhe River (an urban landscape river in Beijing urban area) health assessment show that the upstream and midstream are at healthy state, the downstream river is in middle-class sickness, and the channel solidification is the key limiting factor of downstream sickness.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The studies on the assessment of urban landscape river health are scarce. The aggregative indicator approach, which is commonly used currently, has the deficiencies of burying the variance among the indicators and often results in imperfect answer. An integrated assessment procedure, combining the key limiting indicators with aggregative indicators, is put forward. The aggregative indicators system includes the indicator of 4 aspects, that is, vigour, resilience, organization and landscape services. DO concentration, velocities of flow, Water level satisfaction rate, channel solidification index, Shanner- weaver diversity index of macro-benthicinvertebrate and Smell intensity grade are screened out as key limiting indicators, and Bayes Discriminant Analysis is introduced as calculation method. The results of Zhuanhe River (an urban landscape river in Beijing urban area) health assessment show that the upstream and midstream are at healthy state, the downstream river is in middle-class sickness, and the channel solidification is the key limiting factor of downstream sickness.
Keywords
Bayes methods; contamination; health hazards; river pollution; rivers; Bayes discriminant analysis; Beijing urban area; DO concentration; Shanner- weaver diversity index; Smell intensity grade; Zhuanhe River; aggregative indicator approach; channel solidification; channel solidification index; downstream sickness; flow velocity; health assessment; integrated assessment procedure; macrobenthicinvertebrate; urban landscape river; water level satisfaction rate; Chemicals; Data processing; Diversity reception; Ecosystems; Lakes; Monitoring; Quality management; Resilience; Rivers; Urban areas;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Type
conf
DOI
10.1109/ICBBE.2009.5162897
Filename
5162897
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