IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 35th IAHR Congress - Chengdu (2013) : THEME 4 - HYDRO-ENVIRONMENT : A Bayesian Model to Evaluate Water Quality of Polluted River in Northern India
A Bayesian Model to Evaluate Water Quality of Polluted River in Northern India
Author : Richa Babbar
This paper describes the development of a Bayesian model for surface water quality evaluation, in terms of appropriateness of existing quality with regards to the designated best use. The model is based on the water quality information of polluted river stretches collected from the repository of Central Pollution Control Board (CPCB), India. Water quality variables included in the study are pH, temperature, DO, BOD, COD, Total Coliform and fecal coliform. The causal relationship amongst these variables encoded in the Bayesian model along with associated statistical parameters helped to achieve at suitable water quality class based on water quality index. The model thus developed can serve as an effective communication tool for the decision makers in managing water quality of polluted rivers.
File Size : 555,926 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 35th IAHR Congress - Chengdu (2013)
Date Published : 18/07/2016
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