title: Conceptual classification model for Sustainable Flood Retention Basins.
abstract: The aim of this paper is to recommend a rapid conceptual classification model for Sustainable Flood Retention Basins (SFRB) used to control runoff in a temperate climate. An SFRB is an aesthetically pleasing retention basin predominantly used for flood protection adhering to sustainable drainage and best management practices. The classification model was developed on the basis of a database of 141 SFRB using the River Rhine catchment in Baden (part of Baden-Württemberg, Germany) as a case study. It is based on an agglomerative cluster analysis and is intended to be used by engineers and scientists to adequately classify the following different types of SFRB: Hydraulic Flood Retention Basin, Traditional Flood Retention Basin, Sustainable Flood Retention Wetland, Aesthetic Flood Retention Wetland, Integrated Flood Retention Wetland and Natural Flood Retention Wetland. The selection of classification variables was supported by a principal component analysis. The identification of SFRB in the data set was based on a Ward cluster analysis of 34 weighted classification variables. Scoring tables were defined to enable the assignment of the six SFRB definitions to retention basins in the data set. The efficiency of these tables was based on a scoring system which gave the conceptual model for the example case study sites an overall efficiency of approximately 60% (as opposed to 17% by chance). This conceptual classification model should be utilized to improve communication by providing definitions for SFRB types. The classification definitions are likely to be applicable for other regions with both temperate oceanic and temperate continental climates.
authors.affiliation: Institute for Infrastructure and Environment, School of Engineering and Electronics, The University of Edinburgh, William Rankine Building, Mayfield Road, The King's Buildings, Edinburgh EH9 3JL, Scotland, UK. m.scholz@ed.ac.uk
authors.forename: Miklas
authors.initials: M
authors.lastname: Scholz
authors.forename: Adam J
authors.initials: AJ
authors.lastname: Sadowski
mesh_terms: D002980:Climate; D016000:Cluster Analysis; D016208:Databases, Factual; D004190:Disasters / Q000517:prevention & control*; D005060:Europe; D055868:Floods / Q000145:classification*; D008962:Models, Theoretical; D045483:Rivers; D014872:Water Movements; D053833:Wetlands