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Assessment of sustainable drainage strategies in urban water systems using urban water metabolism and multi-criteria decision analyses

Water Science & Technology 2023 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 30 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Rodrigo Braga Moruzzi, Rodrigo Braga Moruzzi, Maria Vitória da Silva Garcia, Rodrigo Braga Moruzzi, Rodrigo Braga Moruzzi, Rodrigo Braga Moruzzi, Rodrigo Braga Moruzzi, Rodrigo Braga Moruzzi, Rodrigo Braga Moruzzi, Rodrigo Braga Moruzzi, Rodrigo Braga Moruzzi, Kourosh Behzadian Rodrigo Braga Moruzzi, Rodrigo Braga Moruzzi, Kourosh Behzadian

Summary

This study simulated the performance of seven different urban drainage strategies — from conventional to sustainable systems — using urban water metabolism and multicriteria decision analysis. Sustainable drainage systems are relevant to microplastic management because they can reduce the volume of stormwater runoff that carries microplastics from roads and urban surfaces into waterways.

The simulation of urban water metabolism (UWM) allows for the tracking of all water, energy, and material flows within urban water systems (UWSs) and the quantification of their performance, including emissions into the air, water, and soil. This study evaluates seven drainage strategies (DSs) within conventional and sustainable urban drainage systems (SUDSs) using UWM and multicriteria decision analysis (MCDA). The DSs were designed to assess their corresponding UWM performances, employing key performance indicators (KPIs) related to sewer system balance, energy consumption, greenhouse gas (GHG) emissions, acidification, eutrophication, contamination, and sludge production. The outcomes were ranked using the compromise programming MCDA model. The top three strategies were permeable pavements, green spaces, and infiltration trenches and sand filters. The approach used for the evaluation of DS can provide valuable insights for decision-makers, support the promotion of sustainable integrated UWS management and adaptation, and accommodate design variations in urban drainage. Sensitivity analysis on uncertain parameters and KPI selection also contributed to robust and sustainable urban drainage solutions.

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