Codes and data related to the article: Renard (2023). Use of a National Flood Mark Database to Estimate Flood Hazard in the Distant Past. Hydrological Sciences Journal.

This package contains R codes and data related to the article:

B. Renard. 2023. Use of a National Flood Mark Database to Estimate Flood Hazard in the Distant Past. Hydrological Sciences Journal. DOI: 10.1080/02626667.2023.2212165

CONTENTS

R scripts used to set up models, analyse results and prepare figures.

France207_MAX.RData contain monthly maxima at 207 stations. See references below for the original sources.

Folder data_raw/ contain exports from the flood marks database. See references below for the original sources.

funk.R is a library of functions used by other scripts.

0_setUp.R prepares the runs to estimate the model for one component. Estimation is performed using the RSTooDs package (https://zenodo.org/record/5075760). This script extracts the data, specifies the probabilitic models and write STooDs configuration files.

1_margin.R analyses the runs that have been performed and estimates marginal distributions at each station. Note that the runs set up in the previous point need to have been performed before using this script.

2_probMap.R computes estimated flood probabilities over the whole 1705-2015 period. The previous script needs to have been run before.

3_sensitivityAnalysis.R prepares configuration files for sensitivity analysis experiments.

4_ZenodoRelease.R prepares the released data and probability maps. The previous scripts needs to have been run before.

Scripts named fig_XXX.R create the figures shown in the article.

REFERENCES
Streamflow series at stations: https://www.hydro.eaufrance.fr/
developed by the "Service central d’hydrométéorologie et d’appui à la prévision des inondations" (Schapi) from the Ministry of the Ecological Transition

Flood marks database: https://www.reperesdecrues.developpement-durable.gouv.fr/
developed by the flood forecasting network "Vigicrues" from the Ministry of the Ecological Transition

本数据包包含与下述论文相关的R代码与数据集：
B. 勒纳尔. 2023. 利用国家洪水标记数据库估算遥远过去的洪水危险性. 《水文科学杂志》（Hydrological Sciences Journal）. DOI: 10.1080/02626667.2023.2212165

### 内容说明
用于构建模型、分析结果及绘制图表的R脚本如下：
- `France207_MAX.RData`：存储了207个站点的月极值水文数据，原始数据源详见下文参考文献。
- `data_raw/`文件夹：包含洪水标记数据库的导出数据集，原始数据源详见下文参考文献。
- `funk.R`：供其他脚本调用的自定义函数库。
- `0_setUp.R`：配置单次组分模型的运行任务。模型估计通过`RSTooDs`包（https://zenodo.org/record/5075760）实现，该脚本负责提取数据、指定概率模型并生成STooDs配置文件。
- `1_margin.R`：分析已完成的模型运行结果，估算各站点的边缘分布。注意：需先完成前序脚本配置的模型运行任务，方可执行本脚本。
- `2_probMap.R`：计算1705年至2015年全时段的洪水概率估算结果。需先运行前序脚本后方可执行本脚本。
- `3_sensitivityAnalysis.R`：为敏感性分析实验生成配置文件。
- `4_ZenodoRelease.R`：整理发布所需的数据与洪水概率分布图。需先运行前序脚本后方可执行本脚本。
- 以`fig_XXX.R`命名的脚本：用于生成论文中展示的各类图表。

### 参考文献
- 站点径流序列：https://www.hydro.eaufrance.fr/，由法国生态转型部中央水文气象与洪水预报支持服务中心（Schapi）开发。
- 洪水标记数据库：https://www.reperesdecrues.developpement-durable.gouv.fr/，由法国生态转型部洪水预报网络"Vigicrues"开发。