Prediction of riverine daily minimum dissolved oxygen concentrations using hybrid deep learning and routine hydrometeorological data

Author:

Hu Yue,Liu Chuankun,Wollheim Wilfred M.

Funder

University of New Hampshire New Hampshire Agricultural Experiment Station

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference40 articles.

1. Hybrid machine learning ensemble techniques for modeling dissolved oxygen concentration;Abba;IEEE Access,2020

2. Prediction of water level and water quality using a CNN-LSTM combined deep learning approach;Baek;Water,2020

3. Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model;Barzegar;Stochastic Environ- mental Research and Risk Assessment,2020

4. Extent, patterns, and drivers of hypoxia in the world's streams and rivers;Blaszczak;Limnology and Oceanography Letters,2023

5. Design of smart sensors for real-time water quality monitoring;Cloete;IEEE access,2016

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