Minimum night flow (MNF) and corrosion control in compliance with internet of things (IoT) for water systems

Abstract

In the new world view, water is considered an economic-social commodity and a basic human need. This work aims to investigate the relationship between corrosion and changes in the minimum night flow (MNF) rate in water systems. Changes in MNF as a dependent variable are affected by changes in independent variables such as total unreported water loss, allowed night consumption, and network field leakage. First of all, the share of water loss due to network corrosion in total unreported water loss was investigated through a mathematical model and regression analysis according to Geography Information System (GIS). As a result, the p-value for pressure was .564. The Power function had a suitable correlation on the scatter diagram and best-fit curve which was used for Inflow to the water distribution network based on the regression model. The error of the consumers' meter and the correction of these errors were discussed in the apparent water loss section. The apparent water loss value was equal to 1.12% of produced water. This amount of apparent water loss showed the share of the actual water loss due to network corrosion from the total unreported water loss in the facilities. HIGHLIGHTS Improvement of networked sensors.; Connection between GIS, RS, and IoT.; Relationship class definition for the water system.; Access to leakage locations by GIS, RS, and IoT.; Conceptual model for MNF and corrosion control.;

Keywords

• corrosion
• geography information system
• internet of things
• minimum night flow
• networked sensors
• non-revenue water