Predicting stream water quality under different urban development pattern scenarios with an interpretable machine learning approach

Title
Predicting stream water quality under different urban development pattern scenarios with an interpretable machine learning approach
Authors
Keywords
Urban form, Water quality, Landscape metrics, Urban sprawl, Machine learning, Scenario planning
Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 761, Issue -, Pages 144057
Publisher
Elsevier BV
Online
2020-12-16
DOI
10.1016/j.scitotenv.2020.144057

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started