The potential of green infrastructure to meet societal and environmental needs

该项目将解决上述一些研究空白，并为加强对NbS潜力的科学理解贡献新的成果。新的数据集和技术将被用来建立对影响NbS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调整现有的系统性基础设施评估方法，在国家一级综合工程和生态知识，以在有效性、成本效益和复原力方面将NBS与灰色解决方案进行比较。通常不会被考虑的共同利益和权衡将被记录下来，混合解决方案可能是最佳的情况将被探索，其潜在的影响将被记录下来。广泛的全球分析将确定一系列的地点（重点是全球南部和较贫穷的国家），这些地点将受益于NBS，但尚未进行大量研究。该项目的现代数据收集技术和新的早期结果将用于评估以前在潜在的NbS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，以模拟这些地区大规模吸收NbS的广泛影响，并将其与灰色和混合替代品进行对比。

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.