研究论文

Combining physical-based model and machine learning to forecast chlorophyll-a concentration in freshwater lakes

Cheng Chen, Qiuwen Chen, Siyang Yao, Mengnan He, Jianyun Zhang, Gang Li, Yuqing Lin

Hohai University　Nanjing Hydraulic Research Institute

来源The Science of The Total Environment

年份2023

DOI10.1016/j.scitotenv.2023.168097

原文https://doi.org/10.1016/j.scitotenv.2023.168097

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摘要与影响

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逐年被引趋势

27140

2725

关键指标

被引次数 · OpenAlex

3.94

领域内被引倍数
同类平均 = 1

前 4%

引用位次
同领域 · 同年份 · 同类型

参考文献

Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。

AI 辅助阅读

依据：文献信息

论文问答

当前基于文献信息回答

可就本文提问；依据不足时会说明。

学术脉络

学科主题

物理

Aquatic Ecosystems and Phytoplankton Dynamics

Hydrological Forecasting Using AI · Water Quality Monitoring and Analysis

参考文献 44

An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction

Newsha K. Ajami, Qingyun Duan, Soroosh Sorooshian · Water Resources Research · 2007

被引 592

Weather Forecasting with Ensemble Methods

Tilmann Gneiting, Adrian E. Raftery · Science · 2005

被引 633

A 3-dimensional primary production model (BLOOM/GEM) and its applications to the (southern) North Sea (coupled physical–chemical–ecological model)

F.J. Los, Monique T. Villars, M. W. M. van der Tol · Journal of Marine Systems · 2008

被引 83

此处列出前 3 条

引用本文 48

Projected response of algal blooms in global lakes to future climatic and land use changes: Machine learning approaches

Jinge Ma, Hongtao Duan, Cheng Chen · Water Research · 2024

被引 36

The need for advancing algal bloom forecasting using remote sensing and modeling: Progress and future directions

Cassia Brocca Caballero, Vitor Souza Martins, Rejane S. Paulino · Ecological Indicators · 2025

被引 34

A new method for predicting chlorophyll-a concentration in a reservoir: Coupling EFDC hydrodynamic and water quality model with ConvLSTM-MLP network

Haobin Meng, Jing Zhang, Yao Chang · Journal of Hydrology · 2025

被引 25

按被引量排序，此处列出前 3 条

研究论文

Combining physical-based model and machine learning to forecast chlorophyll-a concentration in freshwater lakes

Cheng Chen, Qiuwen Chen, Siyang Yao, Mengnan He, Jianyun Zhang, Gang Li, Yuqing Lin

Hohai University　Nanjing Hydraulic Research Institute

来源The Science of The Total Environment

年份2023

DOI10.1016/j.scitotenv.2023.168097

原文https://doi.org/10.1016/j.scitotenv.2023.168097

阅读操作

确认中

在文库中上传 PDF 后可生成中文音频讲解。

摘要与影响

摘要 · 节选

暂未获取摘要。可打开原文或 PDF，后续可基于全文生成更完整的速读。

逐年被引趋势

27140

2725

关键指标

被引次数 · OpenAlex

3.94

领域内被引倍数
同类平均 = 1

前 4%

引用位次
同领域 · 同年份 · 同类型

参考文献

Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。

AI 辅助阅读

依据：文献信息

论文问答

当前基于文献信息回答

可就本文提问；依据不足时会说明。

学术脉络

学科主题

物理

Aquatic Ecosystems and Phytoplankton Dynamics

Hydrological Forecasting Using AI · Water Quality Monitoring and Analysis

参考文献 44

An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction

Newsha K. Ajami, Qingyun Duan, Soroosh Sorooshian · Water Resources Research · 2007

被引 592

Weather Forecasting with Ensemble Methods

Tilmann Gneiting, Adrian E. Raftery · Science · 2005

被引 633

A 3-dimensional primary production model (BLOOM/GEM) and its applications to the (southern) North Sea (coupled physical–chemical–ecological model)

F.J. Los, Monique T. Villars, M. W. M. van der Tol · Journal of Marine Systems · 2008

被引 83

此处列出前 3 条

引用本文 48

Projected response of algal blooms in global lakes to future climatic and land use changes: Machine learning approaches

Jinge Ma, Hongtao Duan, Cheng Chen · Water Research · 2024

被引 36

The need for advancing algal bloom forecasting using remote sensing and modeling: Progress and future directions

Cassia Brocca Caballero, Vitor Souza Martins, Rejane S. Paulino · Ecological Indicators · 2025

被引 34

A new method for predicting chlorophyll-a concentration in a reservoir: Coupling EFDC hydrodynamic and water quality model with ConvLSTM-MLP network

Haobin Meng, Jing Zhang, Yao Chang · Journal of Hydrology · 2025

被引 25

按被引量排序，此处列出前 3 条