Principal component analysis: an appropriate tool for water quality evaluation and management—application to a tropical lake system

By B. Parinet, A. Lhote, B. Legube. 2004

303 citations recorded by the source corpus.

Subfields: Ecology, Environmental Chemistry, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/c3e171d8c1f61925e08900b9ff1bedd0062d85bc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Yuansheng Zhu
2. Vijay P. Singh
3. Dong Wang

In Environmental Chemistry

1. Yuansheng Zhu
2. Vijay P. Singh
3. Dong Wang

In Water Science and Technology

1. Yuansheng Zhu
2. Vijay P. Singh
3. Dong Wang
4. Ozgur Kisi
5. Demetris Koutsoyiannis
6. Simon Michael Papalexiou

Citations in the corpus

• Principal Component Analysis on Spatial Data: An Overview (2013, unknown): “…estimated at school and country levels. sciences for environmental indices (Tran et al. 2002; In this model-based approach, Bayesian estimation Parinet, Lhote, and Legube 2004); for atmospheric, of the loadings can also be used and through techniques soil, and water pollution (Hernández,…”
• Hybrid fuzzy and optimal modeling for water quality evaluation (2007, methodology): “Over the past 10 years, another statistical technique, the principal component analysis (PCA), has been widely used in determining eutrophication [Vega et al., 1998; Parinet et al., 2004 ].”