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Blog posts : "Application of Machine Learning to Water Resources"

A comprehensive comparison of bias correction methods in climate model simulations: application on ERA5-Land across different temporal resolutions

Title: A comprehensive comparison of bias correction methods in climate model simulations: application on ERA5-Land across different temporal resolutions

Journal: Heliyon

Year: 2024

Volume number: 10

Issue: 23

Article number: e40352

DOI: 10.1016/j.heliyon.2024.e40352

Abstract…

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Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)

Title: Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)

Journal: Environmental Modelling & Software

Year: 2024

Volume number: 174

Article number: 105971

DOI: 10.1016/j.envsoft.2024.105971

Abstract: Applications of Mach…

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Assessment of machine learning models for short‑term streamfow estimation: the case of Dez River in Iran

Title: Assessment of machine learning models for short‑term streamfow estimation: the case of Dez River in Iran

Journal: Sustainable Water Resources Management

Year: 2024

Volume number: 10

Article number: 33

DOI: 10.1007/s40899-023-01021-y

Abstract: Accurate streamflow predict…

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Bias correction of ERA5-Land temperature data using standalone and ensemble machine learning models: a case of northern Italy

Title: Bias correction of ERA5-Land temperature data using standalone and ensemble machine learning models: a case of northern Italy

Journal: Journal of Water and Climate Change

Year: 2023

Volume number:

Issue: 

Pages:

DOI: 10.2166/wcc.2023.669

Abstract: Using the global cli…

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Drought analysis using innovative trend analysis and machine learning models for Eastern Black Sea Basin

Title: Drought analysis using innovative trend analysis and machine learning models for Eastern Black Sea Basin

Journal: Theoretical and Applied Climatology

Year: 2023

Volume number: 

Issue: 

Pages:

DOI: 10.1007/s00704-023-04710-y

Abstract: This study aims to assess the Easte…

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A Machine Learning-Based Framework for Water Quality Index Estimation in the Southern Bug River

Title: A Machine Learning-Based Framework for Water Quality Index Estimation in the Southern Bug River

Journal: Water

Year: 2023

Volume number: 15

Issue: 20

Article number: 3543 

Pages: 1 - 18

DOI: 10.3390/w15203543

Abstract: River water quality is of utmost importance beca…

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Assessment of XGBoost to Estimate Total Sediment Loads in Rivers

Title: Assessment of XGBoost to Estimate Total Sediment Loads in Rivers

Journal: Water Resources Management

Year: 2023

Volume number: 

Issue: 

Pages:

DOI: 10.1007/s11269-023-03606-w

Abstract: Estimation of total sediment loads is a significant topic in river management as dir…

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Assessment of data-driven models for estimating total sediment discharge

Title: Assessment of data-driven models for estimating total sediment discharge

Journal: Earth Science Informatics

Year: 2023

Volume number: 

Issue: 

Pages:

DOI: 10.1007/s12145-023-01069-6

Abstract: Estimating total sediment discharge is challenging. This study aims to assess…

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8 blog posts