# An Indiana utility combined sensors and AI for sewer-flow decisions.

EPA documents Evansville’s real-time decision-support system, which uses sensor networks, monitoring and artificial intelligence to recommend pumping rates and show plant capacity up to an hour ahead.

Canonical: https://brightaifuture.com/signals/signal-epa-smart-sewers-evansville
Format: source-report
Source publication: Not established
Bright publication: Not established
Substantive update: None recorded
Evidence and review: in-review; source report. Research candidate. The EPA page does not date the underlying deployment or isolate causal effects of machine learning from sensors, controls and operator practice.

## AI’s role

AI-informed real-time decision support.

## What is documented

EPA reports capacity forecasts and recommended pumping rates.

## Limitations

Underlying deployment date is not supplied.

AI effects are not separated from sensors, controls and operator practice.

## Why follow this?

The case describes a concrete public-infrastructure setting rather than a laboratory benchmark. EPA attributes overflow reduction to the overall smart-sewer program; the contribution of its AI component is not isolated.

## Provenance and history

{
  "dates": {
    "eventDate": null,
    "publicationDate": null,
    "captureDate": "2026-09-06",
    "lastReviewedDate": null
  },
  "provenance": {
    "origin": "editorial",
    "externalId": "epa-smart-sewers-evansville"
  },
  "revisions": [],
  "corrections": []
}

## Original sources

- [Smart Sewers](https://www.epa.gov/npdes/smart-sewers)

## Continue exploring

- [Can AI help communities understand and use water more wisely?](https://brightaifuture.com/threads/water)