A comprehensive review on the design and optimization of surface water quality monitoring networks
dc.contributor.author | Jiang, J | |
dc.contributor.author | Tang, S | |
dc.contributor.author | Han, D | |
dc.contributor.author | Fu, G | |
dc.contributor.author | Solomatine, D | |
dc.contributor.author | Zheng, Y | |
dc.date.accessioned | 2020-07-27T07:09:44Z | |
dc.date.issued | 2020-07-16 | |
dc.description.abstract | The surface water quality monitoring network (WQMN) is crucial for effective water environment management. How to design an optimal monitoring network is an important scientific and engineering problem that presents a special challenge in the smart city era. This comprehensive review provides a timely and systematic overview and analysis on quantitative design approaches. Bibliometric analysis shows the chronological pattern, journal distribution, authorship, citation and country pattern. Administration types of water bodies and design methods are classified. The flexibility characteristics of four types of direct design methods and optimization objectives are systematically summarized, and conclusions are drawn from experiences with WQMN parameters, station locations, and sampling frequency and water quality indicators. This paper concludes by identifying four main future directions that should be pursued by the research community. This review sheds light on how to better design and construct WQMNs. | en_GB |
dc.description.sponsorship | Key-Area Research and Development Program of Guangdong Province | en_GB |
dc.description.sponsorship | National Natural Science Foundation of China | en_GB |
dc.description.sponsorship | Innovation Project of Universities in Guangdong Province-Natural Science | en_GB |
dc.identifier.citation | Vol. 132, article 104792 | en_GB |
dc.identifier.doi | 10.1016/j.envsoft.2020.104792 | |
dc.identifier.grantnumber | 2019B110205005 | en_GB |
dc.identifier.grantnumber | 51979136 | en_GB |
dc.identifier.grantnumber | 2018KTSCX201 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/122148 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | en_GB |
dc.subject | Monitoring network design | en_GB |
dc.subject | Optimization | en_GB |
dc.subject | Sampling frequency | en_GB |
dc.subject | Station location | en_GB |
dc.subject | Surface water quality | en_GB |
dc.subject | Smart city | en_GB |
dc.title | A comprehensive review on the design and optimization of surface water quality monitoring networks | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-07-27T07:09:44Z | |
dc.identifier.issn | 1364-8152 | |
exeter.article-number | 104792 | en_GB |
dc.description | This is the final version. Available from Elsevier via the DOI in this record. | en_GB |
dc.identifier.journal | Environmental Modelling and Software | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2020-06-23 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-06-23 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-07-27T07:02:26Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2020-07-27T07:09:49Z | |
refterms.panel | B | en_GB |
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Except where otherwise noted, this item's licence is described as © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).