From Runoff to Resilience: Exploring Multifunctional Nature-Based Solutions for Sustainable Urban Stormwater Management

This Dataverse contains all model input datasets, shapefiles, and Python scripts used for the article:

Khromova, S., Busse, S., Benati, G., Herreros Cantis, P., Segura-Barrero, R., Ventura, S., Eckelman, M.J., Villalba Méndez, G. and Langemeyer, J. (2025) From Runoff to Resilience: Exploring Multifunctional Nature-Based Solutions for Sustainable Urban Stormwater Management

The files are organized into folders that follow the methodological workflow of the study and include all input indicators required to perform the four-step GIS-based framework, incorporating the SETS (Social–Ecological–Technological Systems) approach. The framework assesses urban SETS-related risk from pluvial flooding, evaluates NbS feasibility, develops scenarios based on feasibility, estimates stormwater mitigation under these scenarios, and quantifies additional co-benefits such as heat mitigation, water storage, water purification, habitat quality, and recreational benefits.

本数据存储库（Dataverse）包含了用于以下论文的全部模型输入数据集、形状文件（shapefile）及Python脚本：
Khromova, S., Busse, S., Benati, G., Herreros Cantis, P., Segura-Barrero, R., Ventura, S., Eckelman, M.J., Villalba Méndez, G. 与 Langemeyer, J. (2025) 《从径流到韧性：探索面向可持续城市雨水管理的多功能基于自然的解决方案（Nature-Based Solutions, NbS）》

所有文件依照本研究的方法学工作流划分至对应文件夹，涵盖了执行四步地理信息系统（Geographic Information System, GIS）框架所需的全部输入指标，并融入了社会-生态-技术系统（Social–Ecological–Technological Systems, SETS）方法。该框架可评估城市与SETS相关的暴雨洪水风险，评估NbS的可行性，基于可行性构建情景方案，估算这些情景下的雨水缓解效果，并量化额外的协同效益，包括热缓解、储水、水质净化、栖息地质量提升及休闲娱乐效益。