Equity-Aware Optimisation of Low-Impact Development placement using SWMM and NSGA-III
کد مقاله : 1141-IWWA
نویسندگان
امید سیداشرف *
استادیار گروه مهندسی عمران دانشگاه ارومیه
چکیده مقاله
Sustainable urban drainage systems (SuDS) are central for reducing urban flood risk, but their planning requires balancing multiple design objectives including capital cost, hydrologic performance, and the equitable spatial distribution of benefits. This study presents a multi-objective optimisation framework that couples the Storm Water Management Model with the NSGA-III algorithm to place five SuDS types across a four-subcatchment urban catchment. Four objectives are set to be minimised simultaneously including total capital cost, total flood volume at the catchment outlet, peak flow at the outlet, and the Gini coefficient of per-subcatchment runoff reduction, which quantifies the inequity of benefit distribution. A search envelope of 15% maximum SuDS coverage per subcatchment and land-use-based feasibility constraints yields ten decision variables. The optimisation produces a 56-solution Pareto front spanning costs from 36.0 k to 685.0 k USD. Spearman correlation analysis reveals that flood volume and peak flow are perfectly rank-correlated (ρ = 1.00), that cost trades strongly against both hydrologic metrics (ρ = -0.92 in both cases), and that equity is nearly independent of cost (ρ = +0.18). Two representative designs are presented: a most-equitable solution at 232.8 k USD with a Gini of 0.103, and a maximum-performance solution at 498.8 k USD with a Gini of 0.299. The results demonstrate that fair distribution of SuDS benefits can be achieved at moderate cost and is largely independent of hydrologic performance, which provides a quantitative basis for equity-aware urban drainage planning.
کلیدواژه ها
Low-Impact Development; SWMM; NSGA-III; multi-objective optimisation; equity; Gini coefficient
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