灌溉效率评估 | Irrigation Efficiency Assessment

This skill computes net irrigation water demand from crop evapotranspiration (ET) and effective precipitation, and assesses the spatial distribution of field irrigation efficiency. It suits use cases such as irrigation district water management, water allocation optimization, and drought/deficit assessment.

Core algorithm: crop evapotranspiration ET = PET × Kc, where Kc is looked up from the FAO-56 mid-season crop coefficient table by crop type; effective precipitation converts total rainfall into the fraction available to the crop root zone, supporting both fixed (fixed coefficient) and usda (USDA-SCS empirical method, with lower utilization under heavy rainfall); net irrigation demand demand = max(ET − Pe, 0); irrigation efficiency efficiency = clip(demand/applied, 0, 1); when applied water is insufficient, an additional water deficit deficit = max(demand − applied, 0) is computed.

Dependencies / 依赖

pip install 'numpy' 'rasterio' 'scipy'

Usage / 使用方法

Basic usage

python geoskill-irrigation-efficiency.py --bbox 116.0 39.0 117.0 40.0

Example 1 (synthetic data, offline)

python geoskill-irrigation-efficiency.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

Example 2 (USDA effective precipitation method)

python geoskill-irrigation-efficiency.py --bbox 116 39 117 40 --synthetic --eff-method usda --output-dir ./out

Example 3 (custom effective precipitation coefficient)

python geoskill-irrigation-efficiency.py --bbox 121 31 122 32 --synthetic --eff-coeff 0.65 --quiet

Example 4 (real raster: band1 = crop ET, band2 = total precipitation, band3 = applied irrigation)

python geoskill-irrigation-efficiency.py --input scene.tif --eff-method fixed --output-dir ./out

Example 5 (arid region with high evapotranspiration)

python geoskill-irrigation-efficiency.py --bbox 87 43 88 44 --synthetic --output-dir ./out

Output / 输出

Data Source / 数据源 / Source

• --input: local GeoTIFF (band1 = crop ET, band2 = total precipitation, band3 = applied irrigation).
• --synthetic: growing-season scale PET/crop/precipitation/applied irrigation rasters, fully offline.

Privacy / 隐私声明 / Privacy

• Runs offline by default; --synthetic mode requires no network at all.
• All processing is done locally; no user data is uploaded.

License / License

MIT

name: geoskill-irrigation-efficiency description: '基于作物蒸散发与有效降水计算灌溉需水量，并评估灌溉效率空间分布'

灌溉效率评估 | Irrigation Efficiency Assessment

本 skill 基于作物蒸散发（ET）与有效降水计算净灌溉需水量，并评估田间灌溉效率的空间分布，适用于灌区用水管理、配水优化、干旱缺水评估等场景。

核心算法：作物蒸散发 ET = PET × Kc，Kc 由作物类型查 FAO-56 中期作物系数表；有效降水把总降雨折算为作物根区可利用部分，支持 fixed（固定系数）与 usda（USDA-SCS 经验式，强降雨利用率更低）两种方法；净灌溉需水量 demand = max(ET − Pe, 0)；灌溉效率 efficiency = clip(demand/applied, 0, 1)，实灌不足时另计缺水亏缺 deficit = max(demand − applied, 0)。

依赖

pip install 'numpy' 'rasterio' 'scipy'

使用方法

基本用法

python geoskill-irrigation-efficiency.py --bbox 116.0 39.0 117.0 40.0

示例 1（合成数据，离线）

python geoskill-irrigation-efficiency.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

示例 2（USDA 有效降水方法）

python geoskill-irrigation-efficiency.py --bbox 116 39 117 40 --synthetic --eff-method usda --output-dir ./out

示例 3（自定义有效降水系数）

python geoskill-irrigation-efficiency.py --bbox 121 31 122 32 --synthetic --eff-coeff 0.65 --quiet

示例 4（真实栅格，band1=作物ET, band2=总降水, band3=实灌量）

python geoskill-irrigation-efficiency.py --input scene.tif --eff-method fixed --output-dir ./out

示例 5（干旱区高蒸散发场景）

python geoskill-irrigation-efficiency.py --bbox 87 43 88 44 --synthetic --output-dir ./out

输出

数据源 / Source

• --input：本地 GeoTIFF（band1 = 作物 ET，band2 = 总降水，band3 = 实灌量）。
• --synthetic：生长季尺度的 PET/作物/降水/实灌量栅格，完全离线。

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，不上传用户数据。

License

MIT