River water quality modeling using combined principle component analysis (PCA) and multiple linear regressions (MLR): a case study at Klang River, Malaysia
A collective set of data over five years (2003 to 2007) in Klang River, Selangor were studied in attempt to assess and determine the contributions of sources affecting the water quality. A precise technique of multiple linear regressions (MLR) were prepare as an advance tool for surface water modeli...
Saved in:
Main Authors: | Mohd Nasir, Mohd Fahmi, Samsudin, Mohd Saiful, Mohamad, Isahak, Awaluddin, Mohammad Roshide Amir, Mansor, Muhd Ariffin, Juahir, Hafizan, Ramli, Norlafifah |
---|---|
格式: | Article |
語言: | English |
出版: |
IDOSI Publications
2011
|
在線閱讀: | http://psasir.upm.edu.my/id/eprint/23397/1/23397.pdf http://psasir.upm.edu.my/id/eprint/23397/ https://www.idosi.org/wasj/wasj14(UPM)2011.htm |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Pattern recognition of Kedah River water quality data by implementation of principal component analysis
由: Mohd, Isahak, et al.
出版: (2011) -
Multiple Linear Regression (MLR) and Principal Component Regression (PCR) for ozone (O3) concentrations prediction
由: Mohd Napi N.N.L., et al.
出版: (2023) -
Development of multivariate statistical process monitoring using combination MLR-PCA method
由: Norliza, Ishak
出版: (2015) -
Prediction of Pore Water-Pressure Using Multiple Linear Regression (MLR)
由: Abu Bakar, Fatin Amirah
出版: (2016) -
Relationships between water quality and dissolved metal concentrations in a tropical river under the impacts of land use, incorporating multiple linear regression (MLR)
由: Liew, You S., et al.
出版: (2020)