Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates

Science. 2024 Jan 26;383(6681):406-412. doi: 10.1126/science.adi3794. Epub 2024 Jan 25.

Abstract

We assess which waters the Clean Water Act protects and how Supreme Court and White House rules change this regulation. We train a deep learning model using aerial imagery and geophysical data to predict 150,000 jurisdictional determinations from the Army Corps of Engineers, each deciding regulation for one water resource. Under a 2006 Supreme Court ruling, the Clean Water Act protects two-thirds of US streams and more than half of wetlands; under a 2020 White House rule, it protects less than half of streams and a fourth of wetlands, implying deregulation of 690,000 stream miles, 35 million wetland acres, and 30% of waters around drinking-water sources. Our framework can support permitting, policy design, and use of machine learning in regulatory implementation problems.

MeSH terms

  • Conservation of Natural Resources
  • Drinking Water* / legislation & jurisprudence
  • Machine Learning*
  • Rivers*
  • Water Pollution* / legislation & jurisprudence
  • Water Pollution* / prevention & control
  • Water Quality*
  • Wetlands*

Substances

  • Drinking Water