台风/气旋灾害评估 | Cyclone Damage Assessment
Reconstructs the cyclone wind speed distribution with the Holland parametric wind field (Vmax at r=Rmax, calm eye, peripheral decay), converts it to a damage ratio via a sigmoid vulnerability curve (DR=0.5 at V=V50, monotonically increasing with wind speed), then adds the contributions of precipitation and storm surge (∝ wind speed²), and multiplies by the exposure value to obtain pixel-wise loss. Wind speed is linearly monotonic with respect to Vmax, and loss is monotonic with respect to exposure.
Dependencies / 依赖
pip install numpy rasterio scipy
Usage / 使用方法
Basic usage (synthetic data, offline)
python geoskill-cyclone-damage-assessment.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out
More examples
python geoskill-cyclone-damage-assessment.py --bbox 120 25 121 26 --synthetic --output-dir ./out
python geoskill-cyclone-damage-assessment.py --input exposure.tif --vmax 55 --rmax 30000 --output-dir ./out
python geoskill-cyclone-damage-assessment.py --bbox 120 25 121 26 --vmax 65 --v50 45 --synthetic --output-dir ./out
python geoskill-cyclone-damage-assessment.py --bbox 121 25 122 26 --synthetic --quiet --output-dir ./out
Output / 输出
| File | Format | Description |
|---|---|---|
wind_speed.tif |
GeoTIFF | Holland wind speed field (m/s) |
damage_ratio.tif |
GeoTIFF | Combined damage ratio [0,1] |
loss.tif |
GeoTIFF | Pixel-wise loss (damage ratio × exposure value) |
cyclone_params.json |
JSON | Vmax/Rmax/Holland B/vulnerability parameters |
Each run also produces output-manifest.json (run manifest with inputs/outputs/QA summary).
Data Source / 数据源 / Source
Real mode reads a multi-band GeoTIFF (band1=exposure value, band2=precipitation, band3=coastal mask); the wind field is synthesized from parameters. Synthetic mode generates a complete scenario offline.
Privacy / 隐私声明 / Privacy
- Runs offline by default;
--syntheticmode requires no network at all. - All processing is performed locally; no user data is ever uploaded.
License / License
MIT
name: geoskill-cyclone-damage-assessment description: 'Holland风场衰减叠加降水风暴潮与暴露度的损失估算'
台风/气旋灾害评估 | Cyclone Damage Assessment
用 Holland 参数化风场重建气旋风速分布（r=Rmax 处取 Vmax、风眼平静、外围衰减），经 sigmoid 脆弱性曲线转为损毁率（V=V50 时 DR=0.5，随风速单调增），再叠加降水与风暴潮（∝风速²）贡献，与暴露价值相乘得逐像元损失。风速对 Vmax 线性单调，损失对暴露单调。
依赖
pip install numpy rasterio scipy
使用方法
基本用法（合成数据，离线）
python geoskill-cyclone-damage-assessment.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out
更多示例
python geoskill-cyclone-damage-assessment.py --bbox 120 25 121 26 --synthetic --output-dir ./out
python geoskill-cyclone-damage-assessment.py --input exposure.tif --vmax 55 --rmax 30000 --output-dir ./out
python geoskill-cyclone-damage-assessment.py --bbox 120 25 121 26 --vmax 65 --v50 45 --synthetic --output-dir ./out
python geoskill-cyclone-damage-assessment.py --bbox 121 25 122 26 --synthetic --quiet --output-dir ./out
输出
| 文件 | 格式 | 说明 |
|---|---|---|
wind_speed.tif |
GeoTIFF | Holland 风速场（m/s） |
damage_ratio.tif |
GeoTIFF | 综合损毁率 [0,1] |
loss.tif |
GeoTIFF | 逐像元损失（损毁率×暴露价值） |
cyclone_params.json |
JSON | Vmax/Rmax/Holland B/脆弱性参数 |
每次运行还会产出 output-manifest.json（运行清单，含输入/产物/QA 摘要）。
数据源 / Source
真实模式读取多波段 GeoTIFF（band1=暴露价值、band2=降水、band3=海岸掩膜），风场由参数合成；合成模式离线生成完整场景。
隐私声明 / Privacy
- 默认离线运行，
--synthetic模式完全无网络。 - 所有处理在本地完成，不上传任何用户数据。
License
MIT