A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density residential areas

Author:

Mehri Milad1ORCID,Sadeghi Sonia1ORCID,Mehdy Hashemy Shahdany Seied1ORCID

Affiliation:

1. 1 Department of Water Engineering, Faculty of Agriculture Technology (Aburaihan), College of Agriculture and Natural Resources, University of Tehran, Tehran, Iran

Abstract

Abstract The study successfully implemented six low-impact development (LID) methods to manage surface runoff in urban areas: green roof, infiltration trench, bio retention cell, rain barrel, green roof combined with infiltration trench, and rain barrel combined with bio-retention cell. Each method has unique benefits in mitigating surface runoff effects in urban environments. The following four indicators were used to evaluate the methods: runoff volume reduction, peak runoff flow rate reduction, economic sustainability, and social sustainability. The study, which lasted approximately 4 months, was conducted in an eastern Tehran metropolis residential area with a mix of old and new buildings. The SWMM model determined runoff volume and peak flow values, and a price analysis list determined the economic index. Local experts completed 25 questionnaires to evaluate the social index. Fuzzy TOPSIS multi-indicator decision criteria were used to prioritize LID methods, and the Rain barrel + Bio retention cell combined scenario emerged as the best option based on all four criteria. The method reduced peak runoff flow by 23.1–66.1% under rainfall with 10-year return periods. The green roof + infiltration trench method had the highest percentage reduction of 2,737 m3, while the infiltration trench had the lowest reduction of 273 m3.

Publisher

IWA Publishing

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