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Machine Learning Predicts Which Rivers, Streams, and Wetlands the Clean Water Act Regulates
- Greenhill, Simon;
- Druckenmiller, Hannah;
- Wang, Sherrie;
- Keiser, David A;
- Girotto, Manuela;
- Moore, Jason K;
- Yamaguchi, Nobuhiro;
- Todeschini, Alberto;
- Shapiro, Joseph S
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 over half of wetlands; under a 2020 White House rule, it protects under 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.