Showing results for: water analysis system Articles
-
Investigation and analysis of college's water system: the case of Northeastern University
To date there have been many studies of water system optimization which were focused on the water use performance of industrial, regional, and urban areas from a macro-perspective. However, water system optimization colleges and universities are rare, though the amount of water consumption is huge in higher education institutions. We applied a water extended input–output model to investigate ...
-
Bayesian modelling for water loss management decisions
Bayesian networks and their associated methods are especially suited for capturing and dealing with uncertainty. They can be successfully applied both in engineering sciences and in reliability analyses of water distribution systems. In this paper we propose an interactive Bayesian network and a decision-theoretic system which intend to monitor water loss, predict likely outcome and select ...
-
Adaptable urban water demand prediction system
In this work, identification of 24-hours-ahead water demand prediction model based on historical water demand data is considered. As part of the identification procedure, the input variable selection algorithm based on partial mutual information is implemented. It is shown that meteorological data on a daily basis are not relevant for the water demand prediction in the sense of partial mutual ...
-
Water resources planning and management for Chennai City using decision support system
Managing the water resources thoughtfully and profitably is the most crucial responsibility. This paper aims to study and analyse the water supply system at city level with the help of simulation technique and Decision Support System (DSS). In this study, the capital of Tamil Nadu (India), Chennai City is considered. The study analyses the existing level of water supply and it tries to fill the ...
-
We Need to Talk About Peaking Factors
In the design of water networks ‘peaking factors’ are used for simulating design flows in hydraulic models. In simple terms, the dimensionless peaking factor is maximum over average consumption. Historically, utilities adopted standardized peaking factors based on their source data (treatment plant etc.) which was the most reliable source of data. But as we enter the world of big ...
Need help finding the right suppliers? Try XPRT Sourcing. Let the XPRTs do the work for you