Bayesian model-based approach for developing a river water quality index
Six main pollutants have been previously identified by expert opinion to determine river condition in Malaysia. The pollutants were Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Suspended Solid (SS), potential of Hydrogen (pH) and Ammonia (AN). The selected va...
Saved in:
Main Authors: | Mohd Ali, Zalina, Ibrahim, Noor Akma, Mengersen, Kerrie, Shitan, Mahendran, Juahir, Hafizan |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
AIP Publishing LLC
2013
|
Online Access: | http://psasir.upm.edu.my/id/eprint/57244/1/Bayesian%20model-based%20approach%20for%20developing%20a%20river%20water%20quality%20index.pdf http://psasir.upm.edu.my/id/eprint/57244/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The selection of the Bayesian coincident-index models using model comparison criterion with application in Langat river water quality data
by: Mohd Ali, Zalina, et al.
Published: (2012) -
The Langat River water quality index based on principal component analysis
by: Mohd Ali, Zalina, et al.
Published: (2012) -
Robust principal component analysis in water quality index development
by: Mohd Ali, Zalina, et al.
Published: (2013) -
Discriminant analysis of water quality data in Langat River
by: Mohd Ali, Zalina, et al.
Published: (2013) -
New relative importance of water quality variables in Langat River
by: Mohd Ali, Zalina, et al.
Published: (2013)