Supplemental Data for "Cost/Benefit Assessment of Green Infrastructure: Spatial Scale Effects on Uncertainty and Sensitivity"

This data provides supplemental output data for the Monte Carlo analysis for the uncertainty analysis pertaining to benefit and costs associated with the GI implementation in different subwatersheds in the Dead Run case study watershed in the state of Maryland, as described by Heidari et al. (n.d.). Heidari et al. present the conclusions drawn from the results in the "Cost/Benefit Assessment of Green Infrastructure: Spatial Scale Effects on Uncertainty and Sensitivity", which is under review as of June 2021.本数据集为开展相关不确定性分析所使用的蒙特卡洛分析（Monte Carlo analysis）提供补充输出数据，该不确定性分析针对马里兰州（Maryland）Dead Run案例研究流域内不同子流域（subwatersheds）实施绿色基础设施（Green Infrastructure，GI）相关的效益与成本，相关细节由Heidari等人（未注明日期）进行了阐述。Heidari等人在《绿色基础设施成本效益评估：空间尺度对不确定性与敏感性的影响》一文中呈现了基于上述分析结果得出的研究结论，该论文截至2021年6月仍处于审稿阶段。