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Developing composite indicators for ecological water quality assessment based on network interactions and expert judgment
Mao, Feng1; Zhao, Xianfu2,3; Ma, Peiming2,3; Chi, Shiyun2,3; Richards, Keith4; Clark, Julian1; Hannah, David M.1; Krause, Stefan1
Corresponding AuthorMao, Feng(f.mao@bham.ac.uk)
2019-05-01
Source PublicationENVIRONMENTAL MODELLING & SOFTWARE
ISSN1364-8152
Volume115Pages:51-62
AbstractIncreasingly, composite indicators and multi-criteria approaches are applied in environmental assessment and decision-making, including the EU Water Framework Directive. For example, integrated evaluation of aquatic ecosystem conditions and functioning usually involves a group of criteria, such as biological organisms and communities, physicochemical and hydromorphological variables, which are measured individually and combined by a weighted linear function into an overall 'score'. We argue that the network interactions of evaluation components are useful information for expert judgments, which have not been sufficiently considered in existing multi-criteria combination strategies in environmental assessment and management. Built upon the Analytic Network Process and demonstrated with the Chishui River Basin in China, this paper introduces a network-based expert judgment approach to construct ecological water quality indicators, and to determine and adjust their variable weight settings with information of interaction networks. This approach has potential to construct composite indicators for a broad environmental context.
KeywordAnalytic network process Integrated river basin management Ecological network Composite indicator Ecological water quality assessment Multi-criteria decision-making
DOI10.1016/j.envsoft.2019.01.011
Funding OrganizationNational Key Research and Development Program of China ; 'River Basin Governance Research Network' project [ESRC] ; National Natural Science Foundation of China ; Special Funds for Public Industry Research Projects of the National Ministry of Water Resources ; National Key Research and Development Program of China ; 'River Basin Governance Research Network' project [ESRC] ; National Natural Science Foundation of China ; Special Funds for Public Industry Research Projects of the National Ministry of Water Resources
Indexed BySCI ; SCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFC0405303] ; 'River Basin Governance Research Network' project [ESRC][RES-810-21-0071] ; National Natural Science Foundation of China[51279113] ; Special Funds for Public Industry Research Projects of the National Ministry of Water Resources[201501030]
WOS Research AreaComputer Science ; Engineering ; Environmental Sciences & Ecology
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences
WOS IDWOS:000460643900005
WOS KeywordSUSTAINABLE DEVELOPMENT GOALS ; ANALYTIC HIERARCHY PROCESS ; ORGANISM GROUPS ; ENVIRONMENTAL PERFORMANCE ; MULTICRITERIA ANALYSIS ; LAND-USE ; MACROINVERTEBRATE ASSEMBLAGES ; STREAM ; INDEX ; FRAMEWORK
PublisherELSEVIER SCI LTD
Funding OrganizationNational Key Research and Development Program of China ; 'River Basin Governance Research Network' project [ESRC] ; National Natural Science Foundation of China ; Special Funds for Public Industry Research Projects of the National Ministry of Water Resources ; National Key Research and Development Program of China ; 'River Basin Governance Research Network' project [ESRC] ; National Natural Science Foundation of China ; Special Funds for Public Industry Research Projects of the National Ministry of Water Resources
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Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/27926
Corresponding AuthorMao, Feng
Affiliation1.Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, W Midlands, England
2.Minist Water Resources, Inst Hydroecol, Key Lab Ecol Impacts Hydraul Projects & Restorat, Wuhan 430079, Hubei, Peoples R China
3.Chinese Acad Sci, Wuhan 430079, Hubei, Peoples R China
4.Univ Cambridge, Dept Geog, Downing Pl, Cambridge CB2 3EN, England
Recommended Citation
GB/T 7714
Mao, Feng,Zhao, Xianfu,Ma, Peiming,et al. Developing composite indicators for ecological water quality assessment based on network interactions and expert judgment[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2019,115:51-62.
APA Mao, Feng.,Zhao, Xianfu.,Ma, Peiming.,Chi, Shiyun.,Richards, Keith.,...&Krause, Stefan.(2019).Developing composite indicators for ecological water quality assessment based on network interactions and expert judgment.ENVIRONMENTAL MODELLING & SOFTWARE,115,51-62.
MLA Mao, Feng,et al."Developing composite indicators for ecological water quality assessment based on network interactions and expert judgment".ENVIRONMENTAL MODELLING & SOFTWARE 115(2019):51-62.
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