Session 5A AI for Environmental Science III

Tuesday, 14 January 2020: 1:30 PM-2:30 PM
Host: 19th Conference on Artificial Intelligence for Environmental Science
CoChair:
Carlos F. Gaitan, Benchmark Labs, Hydroinformatics, San Diego, CA

AI applications for Water Quality

Papers:
1:30 PM
5A.1
A hybrid empirical-Bayesian artificial neural network model of salinity in the San Francisco Bay-Delta estuary
Christine S Lew, Tetra Tech, Lafayette, CA

1:45 PM
5A.2
Utilizing Multi-media Modeling and Machine Learning to Assess Dissolved Oxygen as a Proxy for Hypoxia in Lake Erie
Christina Feng Chang, University of Connecticut, Storrs, CT; and M. Astitha, V. Garcia, C. Tang, P. Vlahos, D. Wanik, and J. Yan

2:00 PM
5A.3
Regionalisation of Aquifer Properties through Machine Learning in the Lake Chad Basin
Maximilian Nölscher, BGR = German Federal Institute for Geosciences and Natural Resources, Berlin, Germany; and M. Rückl and S. Broda

2:15 PM
5A.4
Using machine learning to predict complete winter ice cover of a freshwater lake
Campbell D. Watson, IBM Thomas J. Watson Research Center, Yorktown Heights, NY; and G. Auger, M. Tewari, and L. A. Treinish

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