Monitoring of drinking water distribution system by SCADA in Antalya City, Turkey

Antalya water and wastewater administration has recently completed SCADA (Supervisory Control And Data Acquisition) system. The system enabled the on-line continuous monitoring of many water quantity and quality parameters such as flow rate, pressure, temperature, pH, turbidity, electrical conductivity, and free residual chlorine. Additionally, water levels in the distribution reservoirs, water pumps, energy consumption and the closing valves are monitored and controlled by the SCADA system. Beside the on-line continuous monitoring, field sampling and lab analyses of other water quality parameters such as total organic carbon, THM, bromide, iron, nitrogen and phosphorous groups, and coliform bacteria were conducted. The results of field sampling agreed with the on-line monitoring values. The SCADA system proved to be very useful for reducing water losses, improving water quality, reducing energy consumption and improving the reliability of the system

Water Contaminants Detection Using Sensor Placement Approach in Smart Water Networks

Incidents of water pollution or contamination have occurred repeatedly in recent years, causing significant disasters and negative health impacts. Water quality sensors need to be installed in the water distribution system (WDS) to allow real-time water contamination detection to reduce the risk of water contamination. Deploying sensors in WDS is essential to monitor and detect any pollution incident at the appropriate time. However, it is impossible to place sensors on all nodes of the network due to the relatively large structure of WDS and the high cost of water quality sensors. For that, it is necessary to reduce the cost of deployment and guarantee the reliability of the sensing, such as detection time and coverage of the whole water network. In this paper, a dynamic approach of sensor placement that uses an Evolutionary Algorithm (EA) is proposed and implemented. The proposed method generates a multiple set of water contamination scenarios in several locations selected randomly in the WDS. Each contamination scenario spreads in the water networks for several hours, and then the proposed approach simulates the various effect of each contamination scenario on the water networks. On the other hand, the multiple objectives of the sensor placement optimization problem, which aim to find the optimal locations of the deployed sensors, have been formulated. The sensor placement optimization solver, which uses the EA, is operated to find the optimal sensor placements. The effectiveness of the proposed method has been evaluated using two different case studies on the example of water networks: Battle of the Water Sensor Network (BWSN) and another real case study from Madrid (Spain). The results have shown the capability of the proposed method to adapt the location of the sensors based on the numbers and the locations of contaminant sources. Moreover, the results also have demonstrated the ability of the proposed approach for maximising the coverage of deployed sensors and reducing the time to detect all the water contaminants using a few numbers of water quality sensor

Water Pipe Networks Performance Assessment: Benchmarking Eight Cases Across the EU Mediterranean Basin

The high level of the non-revenue water (NRW: water not generating revenues) is a well-acknowledged problem water utilities are straggling with in areas facing water scarcity. High NRW values jeopardize the sustainability of water utilities, especially in cases, where these values exceed 50 % of the System Input Volume. WATERLOSS project developed a Decision Support System to help water utility managers design the most effective/efficient NRW reduction strategy. The project's first step was to evaluate the performance of the water distribution systems selected as case studies. The paper presents the respective results of eight cases from Cyprus, Greece, Italy, France and Spain, based on a modified International Water Association Water Balance adapted to the water pricing practices met across the Mediterranean (high Fixed Charge included in the water tariffs). The results revealed that although almost all cases experience high NRW levels, the high Fixed Charge reduces the actual revenue losses, thus providing a perfect excuse to the managers of the local water utilities do almost nothing to address the actual extent of the NRW problem in their systems

Basic Principles of a DSS Tool Developed to Prioritize NRW Reduction Measures in Water Pipe Networks

Non-revenue water (NRW) in urban water distribution networks is a very demanding task to handle. NRW impacts are economic (lost revenues), environmental (water and energy losses) and social (inefficient water pricing policies not based on the actual water consumption profile/patterns). To deal with NRW, water utilities turn to water audit tools and water loss control methods. In this context, WATERLOSS project (2G-MED09-445) designed a Decision support system (DSS) tool to help water utilities reduce NRW, applying the most cost effective NRW reduction measure(s). The present paper presents the architecture of the DSS tool developed to classify and evaluate NRW control methods available (conventional and proposed ones). The DSS platform includes the DSS tool, which: (a) proposes a list of prioritized NRW reduction measures; (b) evaluates the network's performance variables and indicators; (c) compares and benchmarks water distribution networks performances; (d) manages the registry of NRW reduction measures; and (e) induces the measures prioritized for any specific system