Next Article in Journal
Review of River Basin Water Resource Management in China
Next Article in Special Issue
Optimizing Re-Chlorination Injection Points for Water Supply Networks Using Harmony Search Algorithm
Previous Article in Journal
Soil Moisture Investigation Utilizing Machine Learning Approach Based Experimental Data and Landsat5-TM Images: A Case Study in the Mega City Beijing
Previous Article in Special Issue
Optimization Strategy for Improving the Energy Efficiency of Irrigation Systems by Micro Hydropower: Practical Application
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Water 2018, 10(4), 424; https://doi.org/10.3390/w10040424

An Experimental Water Consumption Regression Model for Typical Administrative Buildings in the Czech Republic

1
Institute of Municipal Water Management, Faculty of Civil Engineering, Brno University of Technology, Zizkova 17, 602 00 Brno, Czech Republic
2
Institute of Mathematics and Descriptive Geometry, Faculty of Civil Engineering, Brno University of Technology, Zizkova 17, 602 00 Brno, Czech Republic
*
Author to whom correspondence should be addressed.
Received: 18 December 2017 / Revised: 28 March 2018 / Accepted: 30 March 2018 / Published: 4 April 2018
(This article belongs to the Special Issue Water Networks Management: New Perspectives)
Full-Text   |   PDF [23653 KB, uploaded 3 May 2018]   |  

Abstract

Pressure management is the basic step of reducing water losses from water supply systems (WSSs). The reduction of direct water losses is reliably achieved by reducing pressure in the WSSs. There is also a slight decrease in water consumption in connected properties. Nevertheless, consumption is also affected by other factors, the quantification of which is not trivial. However, there is still a lack of much relevant information to enter into this analysis and subsequent decision making. This article focuses on water consumption and its prediction, using regression models designed for an experiment regarding an administrative building in the Czech Republic (CZ). The variables considered are pressure and climatological factors (temperature and humidity). The effects of these variables on the consumption are separately evaluated, subsequently multidimensional models are discussed with the common inclusion of selected combinations of predictors. Separate evaluation results in a value of the N3 coefficient, according to the FAVAD concept used for prediction of changes in water consumption related to pressure. The statistical inference is based on the maximum likelihood method. The proposed regression models are tested to evaluate their suitability, particularly, the models are compared using a cross-validation procedure. The significance tests for parameters and model reduction are based on asymptotic properties of the likelihood ratio statistics. Pressure is confirmed in each regression model as a significant variable. View Full-Text
Keywords: water consumption; pressure; regression; analysis of variance; maximum likelihood water consumption; pressure; regression; analysis of variance; maximum likelihood
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Rucka, J.; Holesovsky, J.; Suchacek, T.; Tuhovcak, L. An Experimental Water Consumption Regression Model for Typical Administrative Buildings in the Czech Republic. Water 2018, 10, 424.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top