RESEARCH QUESTION

Alternate Wetting & Drying saves water in the Mekong. Does that success transfer to Japan, and where?

The deliverable

A web app for farmers and policy makers at the Japan Rice Institute that identifies exactly where, when, and under what conditions AWD can be safely scaled across Japan — maximising carbon credit verification while protecting farmer livelihoods.

Pick any location in Japan and it returns a Suitability Class with the reasons behind it, synthesised from eight datasets of location-specific biophysical conditions: 20+ years of average seasonal precipitation, temperature and evapotranspiration, plus high-resolution slope, soil texture, pH, moisture and drainage metrics.

Pick a location and see the AWD Suitability Scorecard.
PIPELINE
Google Earth Engine
CHIRPS · MOD16A2 · SRTM · SoilGrids
→
Xarray + Rasterio
chunk yearly rasters into dekadal arrays for spatiotemporal water-balance modeling
→
GeoPandas
vectorize suitability raster; fragmentation & clustering analysis

Two countries, one water balance

A water-balance suitability model over hydrological index and topographic slope, run on both landscapes. Where Vietnam is broad and flat, Japan is steep and fragmented — and the map tells the story.

Vietnam suitability
Vietnam — the origin

Broad deltas, gentle slope: AWD's home conditions, widely feasible.

Japan suitability
Japan — the test

Only 18% of paddies clear the bar once slope and fragmentation are honest.

The honest number matters

A naïve transfer would greenlight AWD across 62% of Japan. However, after correcting for bias in the water balance model and accounting for topographic slope and field moisture, only 18% remains truly feasible — an overestimation of 3.4×. Knowing where NOT to deploy is as valuable as knowing where to.

Why the naïve model overestimated by 3.4×

Water deficit alone doesn't make a paddy AWD-suitable. How you count that deficit does — and the standard model counts it the wrong way.

THE PROBLEM · NELSON–SANDER DEKAD COUNTING

Every deficit counted the same

The water balance for each dekad (10-day period) is WB = P − (PET + Percolation) — rainfall minus evapotranspiration and soil percolation. The standard model just flags WB < 0 as "a suitable drying dekad," whether the shortfall is −5 mm or −150 mm.

That's the bug: a −150 mm dekad doesn't mean gentler drying, it means the field has blown past the soil-moisture threshold into crop stress — the opposite of AWD-suitable. Counting it as a win is what inflates the map to 62% of Japan.

naïve WB layer
Naive water balance suitability, overestimated
−50mm cut
Threshold-based corrected suitability
THE FIX · CUSTOM PYTHON + GOOGLE EARTH ENGINE

A threshold, not a coin flip

We rebuilt the dekad-level water balance in Earth Engine — CHIRPS daily rainfall summed to dekads, MODIS MOD16A2 evapotranspiration reprojected to the 500m study grid, percolation from SoilGrids texture class — then reclassified deficit against a −50mm safe-drying ceiling instead of a bare zero.

A dekad only counts as suitable if the deficit occurs and stays inside that ceiling. Re-run at that threshold, the map drops from 62% to a defensible 32% before biophysical constraints are even applied.

INTERACTIVE · THRESHOLD SENSITIVITY SWEEP

How strict should "safe" be?

Drag to change the maximum allowable water deficit per dekad. Looser thresholds count more area as suitable — but risk pushing paddies past safe drying.

−25mm · strict−150mm · lenient
{{ curLabel }}
THRESHOLD
{{ curSuitable }}%
SUITABLE AREA
{{ curDekads }}%
DEKADS WITH DEFICIT
AWD suitability at selected threshold
✦ chosen for the final composite — best balance of coverage vs. yield risk