Stormwater runoff has detrimental impacts on urban communities due to historic water management infrastructure being unable to cope with contemporary runoff issues under climate change. Nature-based Solutions (NbS) provide a sustainable alternative for stormwater management while delivering multiple cobenefits for society. However, limited work has quantitatively assessed the financial trade-offs and optimization of NbS configurations. Here, a framework was developed to optimize NbS spatial configurations, achieving legislative targets for nitrogen concentration and runoff reduction under future climate change scenarios. Using Ningbo, China, as a case study, results showed that both runoff reduction and total nitrogen removal decreased by approximately 6% across all climate scenarios. Eight particularly cost-effective schemes were generated through multiobjective optimization based on four preference scenarios for runoff and nitrogen control in high- and low-income communities. Compared to cost-equivalent design alternatives, runoff reduction improved by 0.86-13.9% in runoff-focused schemes, while total nitrogen removal increased by 0.08-8.45% in nitrogen-focused schemes. A 15-year cost-benefit analysis indicated that low-cost NbS yielded higher benefit-to-cost ratios, whereas high-investment schemes, although delivering greater absolute reductions, exhibited lower ratios. The proposed framework provides a robust tool for optimizing NbS in different communities for climate change adaptation.
Lu et al. (Mon,) studied this question.
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