In this paper, model construction of random matrix theory is carried out to analyze water leakage urban supply pipeline network, and a multivariate statistical network based on proposed. This paper presents three-level DMA, short-term demand prediction method use patterns, aiming solve the problem inaccurate caused by climate social factors. Correlation analysis factor main factors affecting da...

A cross-sectional study investigated risk factors associated with choices to drink bottled water and tap water in rural Saskatchewan. Of 7,500 anonymous postal questionnaires mailed out, 2,065 responses were analyzed using generalized linear mixed models. Those who reported a water advisory (p < 0.001) or living in the area for £10 years (p = 0.01) were more likely to choose bottled water. Thos...

The bulk of water pipes experience major degradation and deterioration problems. This research aims at estimating the condition in Shattora Shaker Al-Bahery’s distribution networks, Egypt. developed models involve training Elman neural network (ENN) feed-forward (FFNN) coupled with particle swarm optimization (PSO), genetic algorithms (GA), sine cosine algorithm (SCA), teaching-learning-based (...

the main objective followed in this research was to study some of the factors influencing water users&apos; participation in management of the irrigation and drainage networks on the lands under jiroft dam. the kind of research method of the study was a descriptive- correlational one. the statistical population of the study consisted of all the water users of irrigation and drainage networks ac...