The challenge
A regulator carries a hard mandate — keep what enters the rivers within limits — across dischargers it doesn't run. The data it works from is the problem: licensed dischargers report their own grab-samples, often monthly or quarterly and sometimes not at all, so a non-compliant result reaches the authority long after the pollution has moved downstream, and the gaps between samples are exactly where a quiet, persistent breach hides. A failing treatment works can discharge partially-treated sewage for days before anyone is told; the first signal is a community complaint, a downstream abstraction shutdown or a dead river reach. And when it comes to enforcement, intermittent samples are contestable — a Section 19 directive or a licence review needs a record that holds up.
The core gap: the authority was accountable for water it couldn't see. Its picture of the catchment was assembled after the fact from data the dischargers themselves compiled — late, sparse, and hard to act or enforce on.
Our approach
- Map the catchment's risk. Rank discharge points and river reaches by load, history and downstream use — drinking-water abstraction, irrigation, sensitive ecosystems — and instrument the high-consequence points first rather than everything at once (see regulatory & catchment oversight).
- Monitor source and receiving water together. Discharge-point telemetry paired with upstream/downstream in-river sensing — pH, dissolved oxygen, conductivity, turbidity, ammonia and nutrients — so the authority can both hold a discharger to its licence and read the river's actual response.
- Make it independent and tamper-evident. Sensing and logging the regulator controls, not data the discharger hands over, with time-stamping designed to stand up in an enforcement process.
- Surface exceptions, not noise. The dashboard flags the dischargers and reaches that are out of limits or trending the wrong way, so a small team focuses enforcement where it counts — and a sudden DO crash or ammonia surge raises a pollution early-warning alert in hours.
- Reach off-grid points and the public. River gauges and rural outfalls run on solar and low-power radio (LoRaWAN, NB-IoT, 4G) with edge buffering through load shedding, and an optional open dashboard publishes near-real-time quality so communities see the same numbers — on the addaNet platform.