Conceptual classification model for Sustainable Flood Retention Basins.

Area of Science:

• Environmental Engineering
• Hydrology
• Urban Planning

Background:

• Sustainable Flood Retention Basins (SFRB) are crucial for managing urban runoff and enhancing landscape aesthetics.
• Existing classification methods lack standardization, hindering effective communication and application of best practices.

Purpose of the Study:

• To develop and validate a rapid conceptual classification model for SFRB in temperate climates.
• To provide clear definitions for six distinct SFRB types.

Main Methods:

• Utilized a database of 141 SFRB from the River Rhine catchment for a case study.
• Employed agglomerative cluster analysis, principal component analysis, and Ward cluster analysis with 34 weighted variables.
• Developed scoring tables to assign SFRB definitions to basins.

Main Results:

• The conceptual classification model achieved approximately 60% efficiency in classifying SFRB, significantly outperforming random chance (17%).
• Identified and defined six types: Hydraulic, Traditional, Sustainable Wetland, Aesthetic Wetland, Integrated Wetland, and Natural Wetland Flood Retention Basins.
• Demonstrated the model's applicability to temperate oceanic and continental climates.

Conclusions:

• The proposed classification model enhances communication and understanding of SFRB types.
• The model provides a standardized framework for engineers and scientists, applicable beyond the case study region.
• Effective classification of SFRB supports sustainable drainage and flood risk management strategies.