Compound post-fire flood hazards considering infrastructure sedimentation

Flood and debris hazards are heightened following wildfires but are challenging to quantify due to interdependence between fire frequency and severity, peak flows during precipitation events, sediment loads, and sedimentation within infrastructure that reduces flow capacity. Herein we present a stochastic simulation framework to estimate compound flood and debris hazards from sequences of wildfires and rainstorms and the accumulation of sediment within flood infrastructure. Application of the framework to a hypothetical watershed representative of southern California shows that the present-day compound hazard may be up to six times greater than the marginal hazard posed by peak flows in the absence of wildfire, and that future compound hazards could be up to eleven times greater than the marginal hazard based on future increases in wildfire frequency. Numerous sensitivities are investigated, including infrastructure design and maintenance, which are shown to be crucial for moderating fu..., , , # Data from: Compound post-fire flood hazards considering infrastructure sedimentation [https://doi.org/10.7280/D16Q59](https://doi.org/10.7280/D16Q59) ## Description of file structure ### Folder List: 1. Compound_Hazard_Model (Zenodo - Software) 2. MCMC_Rainfall_Simulator (Zenodo - Software) 3. Rainfall_Data (Dryad) ### Supplemental Information: 1. GHCND_documentation.pdf ## Detailed description of folder contents ### 1. Compound\_Hazard\_Model (Zenodo) #### File List: 1. DayToMonth.mat 2. fires_100y_RIrng_1p25to2p86.mat 3. genprcp.m 4. MCMCv2_100yrsrlzn_EVA.mat 5. modelparams_v2.mat 6. P_EVA.m 7. pfireocc.m 8. returnlvls_v2.mat 9. WULF_Variable_Area.m 10. WULF_Variable_BurnSev.m 11. WULF_Variable_FireInt.m #### Description of folder contents: * WULF_Variable_Area.m, WULF_Variable_BurnSev.m, and WULF_Variable_FireInt.m are scripts that contain the compound hazard model and are identical except for the formatting of their output. The scripts are designed to format the model...野火过后，洪水与碎屑灾害风险显著升高，但由于火灾频率与严重程度、降水事件中的峰值流量、泥沙负荷以及降低过流能力的基础设施内泥沙淤积之间存在相互关联，这类复合灾害的量化难度极大。本文提出了一种随机模拟框架，用于基于野火与暴雨序列以及洪水基础设施内的泥沙淤积情况，估算复合洪水与碎屑灾害风险。将该框架应用于代表南加州典型特征的假想流域后发现，当前的复合灾害风险最高可达无野火情况下仅由峰值流量引发的边际灾害风险的6倍；而考虑未来野火频率上升的情景，未来复合灾害风险最高可达该边际风险的11倍。本研究开展了多项敏感性分析，包括基础设施设计与运维方案，结果表明二者对于缓解风险（后文内容截断）。 # 数据来源：考虑基础设施泥沙淤积的野火后复合洪水灾害 [https://doi.org/10.7280/D16Q59] ## 文件结构说明 ### 文件夹列表： 1. 复合灾害模型（Compound_Hazard_Model）（Zenodo - 软件） 2. 马尔可夫链蒙特卡洛（MCMC）降雨模拟器（MCMC_Rainfall_Simulator）（Zenodo - 软件） 3. 降雨数据集（Rainfall_Data）（Dryad） ### 补充材料： 1. 全球历史气候学网络每日数据文档（GHCND_documentation.pdf） ## 文件夹内容详细说明 ### 1. 复合灾害模型（Compound_Hazard_Model）（Zenodo） #### 文件列表： 1. DayToMonth.mat 2. fires_100y_RIrng_1p25to2p86.mat 3. genprcp.m 4. MCMCv2_100yrsrlzn_EVA.mat 5. modelparams_v2.mat 6. P_EVA.m 7. pfireocc.m 8. returnlvls_v2.mat 9. WULF_Variable_Area.m 10. WULF_Variable_BurnSev.m 11. WULF_Variable_FireInt.m #### 文件夹内容说明： * WULF_Variable_Area.m、WULF_Variable_BurnSev.m 与 WULF_Variable_FireInt.m 为包含复合灾害模型的脚本文件，三者仅输出格式存在差异，其余内容完全一致。本类脚本用于格式化模型（后文内容截断）