This paper presents a multi-model predictor called Qualitative Multi-Model Predictor Plus (QMMP+) for demand forecast in water distribution networks. QMMP+ is based on the decomposition of the quantitative and qualitative information of the time-series. The quantitative component (i.e., the daily consumption prediction) is forecasted and the pattern mode estimated using a Nearest Neighbor (NN) ...

Drinkability of water is determined based on its physical, chemical, and microbial properties. Undesirable changes in these parameters could threaten the health of consumers. The present study aimed to assess the physical, chemical, and microbial parameters of the drinking water sources in Sanandaj, Iran and compare them with the national standard values. This descriptive, cross-sectional study...

this research has been done in order to assessing factor that are affecting on optimizing water consumption method in household sector of the rural areas of bushehr township. the used method for gathering information in this study is descriptive and analysis. so that first, effective factors on water consumption method has been recognized after that the questionnaire has been provided. 257 cons...

Despite significant effort to quantify the interdependence of the water and energy sectors, global requirements of energy for water (E4W) are still poorly understood, which may result in biases in projections and consequently in water and energy management and policy. This study estimates water-related energy consumption by water source, sector, and process for 14 global regions from 1973 to 20...

Water losses in Distribution Networks (WDNs) are inevitable. This is due to joints interconnections, ageing infrastructure and excessive pressure at lower demand. Pressure control has been showing promising results as a means of minimising water loss. Furthermore, it shown that information critical nodes often adequate ensure effective the system. In this work, greedy algorithm for identificati...

Drinking water for human health and well-being is crucial. Accidental and intentional water contamination can pose great danger to consumers. Optimal design of a system that can quickly detect the presence of contamination in a water distribution network is very challenging for technical and operational reasons. However, on the one hand improvement in chemical and biological sensor technology h...

Abstract. It is well known that Water Distribution Networks (WDNs) are very inefficient and, in Italy, 40% of water lost during distribution. In this paper, we present a solution for detecting leakages WDNs, based on three main components: i) an innovative sensing element to be deployed at the sensor nodes, which analyses vibrations acoustic range classifying external noise sources, induced by ...