An integrated deep learning approach for modeling dissolved oxygen concentration at coastal inlets based on hydro-climatic parameters-Reference-Cited by-同舟云学术

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An integrated deep learning approach for modeling dissolved oxygen concentration at coastal inlets based on hydro-climatic parameters

Published:2024-09 Issue: Volume:367 Page:122018
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Elnabwy Mohamed T.^ORCID,Alshahri Abdullah H.^ORCID,El-Gamal Ayman A.

Funder

Taif University

Publisher

Elsevier BV

Reference77 articles.

1. Performance of stochastic approaches for forecasting river water quality;Ahmad;Water Res.,2001

2. The development of dissolved oxygen forecast model using hybrid machine learning algorithm with hydro-meteorological variables;Ahmed;Environ. Sci. Pollut. Res.,2023

3. Depth-integrated estimation of dissolved oxygen in a lake. ASCE J Env;Akkoyunlu;Eng,2011

4. Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean;Alizadeh;Mar. Pollut. Bull.,2015

5. Stream water quality prediction using boosted regression tree and random forest models;Alnahit;Stoch. Environ. Res. Risk Assess.,2022

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