Author_Institution :
State Key Lab. of Water Environ. Simulation, Beijing Normal Univ., Beijing, China
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.
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;
