A conceptual approach for evaluating the multiple benefits of urban flood management practices
Publication Date
September 3, 2016
Creators
Description
This paper focuses on the spatial distribution of the dominant and relevant benefits of urban flood management based on context and location specific evaluations. We explore the conceptual rationale and describe a detailed methodology for assessing the benefit profile, benefit intensity, and comment on benefit dependencies arising from urban flood management practices which utilise green infrastructure. A case study is described which demonstrates the application of the concepts in Portland, Oregon. A GIS approach is developed to evaluate some of the multiple benefits of the East Lents Floodplain Restoration Project. Results are presented in the form of a comparative benefit profile, and a spatially distributed benefit intensity. The paper concludes with the implications of the methodology for future multiple benefit evaluation of urban drainage and flood management systems.
These data were collected as part of an interdisciplinary project undertaken by the Blue-Green Cities Research Consortium with the Portland-Vancouver ULTRA (Urban Long-term Research Area) project, as part of the “Clean Water for All” initiative.
Parent projects:
Portland-Vancouver ULTRA (Urban Long-term Research Area) project
Blue-Green Cities Research Project
Clean Water for All
Coverage (Temporal):
2011 and 2013
Coverage (Spatial):
Lower Johnson catchment, Portland, Oregon, USA
Collection dates:
July 2014- September 2015
External URI
Associate publ. DOI
Subjects
Subjects (JACS)
Subjects (LC)
Divisions
Faculties, Schools and Departments::University of Nottingham, UK Campus::Faculty of Social Sciences::School of Geography
Data type
GIS raster files
Grant Number
EP/K013661/1
Data collection method
Analysis of secondary data
Resource languages
English
Publisher
University of Nottingham
Date Issued
August 30, 2016
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Phase 2_10yr flood.zip
Size
9.03 MB
Format
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PrePhase1_Normal.zip
Size
12.59 MB
Format
Unknown
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