Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning-Reference-Cited by-同舟云学术

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Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning

Published:2023-11 Issue: Volume:900 Page:165781
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Gupta Abhinav,Hantush Mohamed M.,Govindaraju Rao S.

Funder

US Environmental Protection Agency

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference64 articles.

1. Learning from data;Abu-Mostafa,2012

2. Phosphorus loading to Lake Erie from the Maumee, Sandusky and Cuyahoga rivers: the importance of bioavailability;Baker;J. Great Lakes Res.,2014

3. Modeling summer circulation and thermal structure of Lake Erie;Beletsky;J. Geophys. Res. Oceans,2013

4. Wind induced circulation in lakes;Bengtsson;Hydrol. Res.,1978

5. Bayesian Inference in Statistical Analysis;Box,1973

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Practical application of machine learning for organic matter and harmful algal blooms in freshwater systems: A review;Critical Reviews in Environmental Science and Technology;2023-11-29

2. Harmful Algal Blooms Prediction Model: Dealing With Limited Datasets;2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA);2023-10-04

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