Irrigation & Water
Management
AlphaStatLab ยท Agricultural Water Analytics ยท 2023
Total Water Applied
4,812 GL
Gigalitres ยท Season total
Irrigation Efficiency
74.2%
โ†‘ +4.1pp vs 2022
Water Saved
812 GL
vs. flood baseline
Drought Stress Areas
18.4%
Of total cropped area
Fields Active Today
1,248
Of 2,040 monitored
AlphaStatLab.org
Water Intelligence
๐Ÿ’ง
Drip Irrigation Coverage
48.2%
Of irrigated area
โ†‘ +8.4pp vs 2020
๐ŸŒง๏ธ
Rainfall (Season)
412 mm
vs. 30yr avg: 498 mm
17% Below Normal
โ˜€๏ธ
Evapotranspiration (ETo)
6.8 mm/day
Peak summer average
High demand period
๐ŸŒต
Drought Alert Zones
3 zones
D2 Severe or higher
Intervention Required
Evapotranspiration vs Rainfall โ€” Monthly Water Balance 2023
mm/month ยท Reference ET (FAO-56) vs Precipitation
Drought Severity Index
PDSI Score by Region
Southwest
D3 Extreme
Great Plains
D2 Severe
Midwest
D1 Moderate
Northeast
D0 Abnorm. Dry
Pacific NW
None Normal
Southeast
D0 Abnorm. Dry
Drought Scale Reference
NormalD0D1D2D3D4
Water Application Efficiency by Irrigation Method
Surface / Flood
45%
Field application efficiency
โš  Baseline โ€” High loss
Sprinkler
72%
Field application efficiency
โ†‘ +27pp vs flood
Drip / Micro
90%
Field application efficiency
โœ“ Best practice
Sensor-Driven
95%
With soil moisture automation
โœ“ Optimal โ€” IoT enabled
Weekly Irrigation Schedule โ€” Active Fields
Method key: Drip ยท Sprinkler ยท Flood ยท Sensor-auto ยท Rest
Mon
Tue
Wed
Thu
Fri
Sat
Sun
๐ŸŒพ Wheat-A
Drip
โ€”
Drip
โ€”
Drip
โ€”
โ€”
๐ŸŒฝ Maize-B
Sprink
Sprink
โ€”
Sprink
โ€”
Sprink
โ€”
๐Ÿซ˜ Soy-C
Auto
Auto
Auto
Auto
Auto
Auto
Auto
๐Ÿ… Tomato-D
Drip
Drip
Drip
Drip
Drip
Drip
Drip
๐ŸŒฟ Cotton-E
Flood
โ€”
โ€”
Flood
โ€”
โ€”
โ€”
๐Ÿ‡ Vineyard-F
Drip
โ€”
Drip
โ€”
Drip
โ€”
Drip
Water Consumption & Savings โ€” 2023 Monthly
Gigalitres ยท Applied vs. baseline flood irrigation
Crop Water Requirements vs. Actual Application โ€” 2023 Season
mm/season ยท 6 major crops ยท Deficit = shortfall risk ยท Surplus = wastage
โš  Synthetic Data Notice: All irrigation volumes, rainfall figures, evapotranspiration values, drought indices, field schedules, water savings, and crop water requirements in this dashboard are entirely randomly generated synthetic data by AlphaStatLab for portfolio demonstration. No real field, watershed, or government water authority data is represented. For real irrigation analytics, visit alphastatlab.org.
Methods: ETโ‚€ estimated from Penman-Monteith equation with synthetic climate inputs. PDSI drought indices generated from normal distribution around historical extremes. Monthly water balance from seasonal precipitation model. Crop water requirements from FAO-56 crop coefficient ร— ETโ‚€ with noise. Chart.js v4.4.1 ยท Fonts: Gloock + Nunito Sans.