Ecological risk assessment and source identification of heavy metals in the sediments of the Danjiang River Basin: A quantitative method combining multivariate analysis and the APCS-MLR model

Ecological risk assessment and source identification of heavy metals in the sediments of the Danjiang River Basin: A quantitative method combining multivariate analysis and the APCS-MLR model

The heavy metal content in river sediment is a sensitive indicator of pollution in aquatic ecosystems and plays a key role in understanding the risks, characteristics, and sources of heavy metal pollution in a region. This study combined traditional assessment methods with the Nemerow integrated ris...

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Bibliographic Details
Main Authors: Zhiming Cao, Hui Qian, Yanyan Gao, Kang Li, Yixin Liu, Xiaoxin Shi, Siqi Li, Weijie Zhao, Shuhan Yang, Panpan Tian, Puxia Wu, Yandong Ma
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Ecological Indicators
Subjects:
Sediments pollution indices
Multivariate statistical analyses
PCA-APCS-MLR
The Danjiang River Basin
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25004480
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