Spatiotemporal variation and influencing factors of phosphorus in Asia’s longest river based on receptor model and machine learning

Spatiotemporal variation and influencing factors of phosphorus in Asia’s longest river based on receptor model and machine learning

Phosphorus contamination in rivers has received widespread attention. However, in areas with extensive sources of phosphorus and complex hydrogeology conditions, it is difficult to accurately evaluate the main influencing factors of phosphorus. In present study, the spatiotemporal variations of phos...

Full description

Saved in:
Bibliographic Details
Main Authors: Gege Cai, Jiamei Zhang, Wanlu Li, Jiejun Zhang, Yun Liu, Shanshan Xi, Guolian Li, Haibin Li, Xing Chen, Fanhao Song, Fazhi Xie
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Ecological Indicators
Subjects:
Yangtze River
Phosphorus
Spatiotemporal variation
Source apportionment
Absolute principal component score-multiple linear regression
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25001463
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S1470160X25001463

Similar Items