Analysis of Key Influencing Factors of Water Quality in Tai Lake Basin Based on XGBoost-SHAP DOI Open Access
Weiling Li, Menghua Deng, Chang Liu

и другие.

Water, Год журнала: 2025, Номер 17(11), С. 1619 - 1619

Опубликована: Май 27, 2025

Tai Lake Basin, a key freshwater resource in eastern China, has garnered attention due to widespread cyanobacterial blooms. Effective water quality management is vital for the region’s sustainable development. Investigating seasonal variations of parameters (WQPs) Basin essential devising targeted strategies enhance quality. This study employs an interpretable machine learning model (XGBoost-SHAP) identify most important factors using daily monitoring WQP data from 2023 2024. Results revealed that dissolved oxygen (DO), total phosphorus (TP), permanganate index (CODMn), and ammonia nitrogen (NH3-N) are primary determinants basin, while temperature, pH, (TN), turbidity showed minimal impact (SHAP value < 1). Seasonal analysis demonstrated DO exerts substantial influence on during spring, summer, autumn; TP CODMn have stable negative throughout year; NH3-N relatively significant winter Recommendations include enhancing levels spring fortifying concentrations winter, implementing tailored response variations. research offers valuable insights guide decision-making processes aimed at safeguarding environment Basin.

Язык: Английский

A review of machine learning and internet-of-things on the water quality assessment: methods, applications and future trends DOI Creative Commons
Gangani Dharmarathne,

A.M.S.R. Abekoon,

Madhusha Bogahawaththa

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105182 - 105182

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Application of artificial intelligence in Aquaculture – Recent developments and prospects DOI
Subha M. Roy, Mirza Masum Beg,

S. Bhagat

и другие.

Aquacultural Engineering, Год журнала: 2025, Номер unknown, С. 102570 - 102570

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Analysis of Key Influencing Factors of Water Quality in Tai Lake Basin Based on XGBoost-SHAP DOI Open Access
Weiling Li, Menghua Deng, Chang Liu

и другие.

Water, Год журнала: 2025, Номер 17(11), С. 1619 - 1619

Опубликована: Май 27, 2025

Tai Lake Basin, a key freshwater resource in eastern China, has garnered attention due to widespread cyanobacterial blooms. Effective water quality management is vital for the region’s sustainable development. Investigating seasonal variations of parameters (WQPs) Basin essential devising targeted strategies enhance quality. This study employs an interpretable machine learning model (XGBoost-SHAP) identify most important factors using daily monitoring WQP data from 2023 2024. Results revealed that dissolved oxygen (DO), total phosphorus (TP), permanganate index (CODMn), and ammonia nitrogen (NH3-N) are primary determinants basin, while temperature, pH, (TN), turbidity showed minimal impact (SHAP value < 1). Seasonal analysis demonstrated DO exerts substantial influence on during spring, summer, autumn; TP CODMn have stable negative throughout year; NH3-N relatively significant winter Recommendations include enhancing levels spring fortifying concentrations winter, implementing tailored response variations. research offers valuable insights guide decision-making processes aimed at safeguarding environment Basin.

Язык: Английский

Процитировано

0