Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data

• Published in: The Science of the total environment Vol. 809; p. 151139
• Main Authors: O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C., Pembleton, Keith, Khan, Urooj, Tuteja, Narendra
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 25.02.2022
• Subjects: Artificial intelligence; Deductive inductive catchment classification; DIN; Ecosystem; Great Barrier Reef; Neural Networks, Computer; Nitrogen - analysis; Pattern recognition; Soil; Water Quality; DIN; Pattern recognition; Artificial intelligence; Deductive inductive catchment classification; Water quality; Great Barrier Reef

In hydrological modelling, classification of catchments is a fundamental task for overcoming deficits in observational datasets. Most attention on this issue has focussed on identifying the catchments with similar hydrological responses for streamflow. Yet, effective methods for catchment classifica...