The potential of green infrastructure to meet societal and environmental needs

该项目将解决上述研究空白，并贡献新的成果，以加强对NbS潜力的科学理解。新的数据集和技术将被用来建立对影响国家统计局效率的关键变量的基本理解，并构建可扩展的预测模型，这些模型可以外推到新的地理位置或气候条件。综合案例研究将通过采用现有的系统基础设施评估方法，综合国家层面的工程和生态知识，将国家统计局与灰色解决方案在有效性、成本效益和复原力方面进行比较。将记录通常不考虑的共同利益和权衡，并探索混合解决方案可能最优的情况，并记录其潜在影响。广泛的全球分析将确定许多地区（重点是全球南方和较贫穷的国家），这些地区将受益于国家统计局，但尚未得到深入研究。现代数据收集技术和该项目的新颖早期结果将用于评估以前在潜在的国家统计局有效性和其他因素方面缺乏数据的地区的适用性。将进行模拟和广泛的成本效益分析，以模拟在这些地区大规模采用NbS的广泛影响，并将其与灰色和混合替代方案进行对比。

This project will address some of the research gaps outlined above and contribute new results to strengthen scientific understanding of the potential of NbS. New datasets and technologies will be harnessed to build a fundamental understanding of the key variables affecting NbS efficiency and construct scalable predictive models that can be extrapolated to new geographic locations or climatic conditions. Comprehensive case studies will synthesise engineering and ecological knowledge at national-levels by adapting pre-existing systematic infrastructure assessment approaches to compare NbS to grey solutions in terms of effectiveness, cost-efficiency and resilience. Co-benefits and trade-offsthat would not normally be considered will be documented and situations where hybrid solutions may be optimal will be explored and their potential effects recorded.Broad global analyses will identify a host of locations (with a focus on the Global South and poorer nations) that would benefit from NbS and have not been heavily researched. Modern data collection technologies and novel earlier results from this project will be used to assess suitability of regions where data was previously scarce in terms of potential NbS effectiveness and other factors. Simulations and broad cost-benefit analyses will be carried out to simulate the wide-ranging effects of a large-scale uptake of NbS in these regions, contrasting them with grey and hybrid alternatives.