From site-focused intervention towards landscape-scale surface water management using Synthetic Stream Networks and Rapid Scenario Screening
dc.contributor.author | Webber, JL | |
dc.contributor.author | Wigley, S | |
dc.contributor.author | Paling, N | |
dc.contributor.author | Kapelan, Z | |
dc.contributor.author | Fu, G | |
dc.date.accessioned | 2021-07-27T10:10:19Z | |
dc.date.issued | 2021-07-09 | |
dc.description.abstract | This research addresses the need to transform success in technical understanding and practical implementation of surface water management (SWM) interventions at a site-scale towards integrated landscape-scale management. We achieve this through targeting the informative preliminary stages of strategic design, where broad, early and effective exploration of opportunities can enhance and direct a regional SWM perspective. We present a new method, ‘Synthetic Stream Networks’ (SSN), capable of meeting these requirements by taking advantage of easily accessible data, likely to be available during regional screening. We find that results from the SSN are validated by existing, ‘downstream’ focused data (90% of the river network is within 30 m of an associated SSN flow path), with the added advantage of extending understanding of surface water exceedance flow paths and watersheds into the upper catchment, thus establishing a foundational and physically based sub-catchment management unit exploring surface water connectivity at a catchment and landscape scale. We also demonstrate collaborative advantages of twinning the new SSN method with ‘Rapid Scenario Screening’ (RSS) to develop a novel approach for identifying, exploring and evaluating SWM interventions. Overall, we find that this approach addresses challenges of integrating understanding from sub-catchment, catchment and landscape perspectives within surface water management. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.identifier.citation | Vol. 3 (1), pp. 13 – 30 | en_GB |
dc.identifier.doi | 10.2166/bgs.2021.019 | |
dc.identifier.grantnumber | EP/N010329/1 | en_GB |
dc.identifier.grantnumber | NE/P011217/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/126564 | |
dc.language.iso | en | en_GB |
dc.publisher | IWA Publishing | en_GB |
dc.rights | © 2021 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY-NC-ND 4.0), which permits copying and redistribution for non-commercial purposes with no derivatives, provided the original work is properly cited (http://creativecommons.org/licenses/by-nc-nd/4.0/). | en_GB |
dc.subject | exceedance flow | en_GB |
dc.subject | GIS | en_GB |
dc.subject | regional hydrology | en_GB |
dc.subject | scenario screening | en_GB |
dc.subject | surface water management | en_GB |
dc.title | From site-focused intervention towards landscape-scale surface water management using Synthetic Stream Networks and Rapid Scenario Screening | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2021-07-27T10:10:19Z | |
dc.description | This is the final version. Available on open access from IWA Publishing via the DOI in this record | en_GB |
dc.description | Data availability statement: All relevant data are included in the paper or its Supplementary Information | en_GB |
dc.identifier.eissn | 2617-4782 | |
dc.identifier.journal | Blue-Green Systems | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dcterms.dateAccepted | 2021-06-25 | |
exeter.funder | ::Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
exeter.funder | ::Natural Environment Research Council (NERC) | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2021-07-09 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2021-07-27T10:07:23Z | |
refterms.versionFCD | P | |
refterms.dateFOA | 2021-07-27T10:10:41Z | |
refterms.panel | B | en_GB |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's licence is described as © 2021 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY-NC-ND 4.0), which permits
copying and redistribution for non-commercial purposes with no derivatives, provided the original work is properly cited (http://creativecommons.org/licenses/by-nc-nd/4.0/).