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Developing composite indicators for ecological water quality assessment based on network interactions and expert judgment

Mao, Feng, Zhao, Xianfu, Ma, Peiming, Chi, Shiyun, Richards, Keith, Clark, Julian, Hannah, David M. and Krause, Stefan 2019. Developing composite indicators for ecological water quality assessment based on network interactions and expert judgment. Environmental Modelling and Software 115 , pp. 51-62. 10.1016/j.envsoft.2019.01.011

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Abstract

Increasingly, 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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Earth and Ocean Sciences
Publisher: Elsevier
ISBN: 13648152
ISSN: 1364-8152
Date of Acceptance: 12 January 2019
Last Modified: 27 Jul 2020 15:15
URI: http://orca.cardiff.ac.uk/id/eprint/133771

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