Modeling and analysis of urban water distribution networks during intermittent water supply periods

Author(s):  
Agathoklis Agathokleous ◽  
Symeon Christodoulou
2012 ◽  
Vol 12 (4) ◽  
pp. 523-530 ◽  
Author(s):  
S. Christodoulou ◽  
A. Agathokleous

Faced with extended periods of drought and short supply of water, arid-weather countries have turned to intermittent water supply (IWS) as a means to reduce water consumption and to prolong their national water reserves. Unfortunately, such drastic measures usually fail to consider the effects of intermittent supply on the condition of piping networks and the resulting water losses, inefficiencies and overall maintenance cost on these networks. Presented herein is research work on the effects of IWS on the vulnerability of urban water distribution networks (UWDN) based on a 3-year dataset from major urban centres in Cyprus. The dataset includes information on breakage incidents, operating network parameters, external factors and vulnerability assessment and by use of data-mining and survival analysis techniques evaluates the effects of such intermittent supply strategies on the vulnerability of the water pipes and on the sustainability of the strategy.


2019 ◽  
Vol 79 ◽  
pp. 01015 ◽  
Author(s):  
ChenLei Xie ◽  
QianSheng Fang ◽  
HongYan Zhang ◽  
JiXin Zhang

It is necessary to monitor the pressure in the networks in real time, when we face the problem of pipe burst and leakage in urban water supply network. Therefore, it is particularly important to arrange pressure monitoring points in appropriate places in the pipeline networks. The pressure monitoring point layout is often based on similar degree of the node pressure data in the current stage. A method of optimal pressure monitoring point location in the urban water distribution networks was proposed in this paper. Since the above method did not consider spatial properties of network node. The original feature matrix data is constructed by acquiring the spatial attributes of the pressure monitoring nodes and calculating the non-spatial attributes of the nodes. The original feature matrix data will be normalized. Then the Optics clustering algorithm is used to cluster the normalized node feature matrix data to determine the location and number of pressure monitoring points in monitoring area of urban water distribution networks. Experimental results show that the method effectively ensures that the pressure monitoring points can grasp the pressure information of the whole water supply network more comprehensively and rationally, improves the economy of the pressure monitoring points layout, and provides good guidance for the actual layout of pressure monitoring points in municipal water distribution networks.


2017 ◽  
Vol 19 (6) ◽  
pp. 838-852 ◽  
Author(s):  
Agathoklis Agathokleous ◽  
Chrystalleni Christodoulou ◽  
Symeon E. Christodoulou

Abstract Water authorities in countries facing water shortage problems are implementing intermittent water supply (IWS) policies, as a measure to conserve and control their national water resources. Implementation of such measures affects the behaviour of the water pipe systems during the operation stage. The research work presented herein presents a model simulating the behaviour of urban water distribution networks (WDNs) under normal operating conditions, as well as during a period of IWS operations. The modelling and analysis, based on an eight-year dataset (2003–2010) from a local Water Board, takes into account information related to breakage incidents within the WDN as well as external factors to perform vulnerability assessment of the pipe network. The results of the performed survival and cluster analysis show that during the implementation period of IWS operations, and right after that period, there is a significant increase in the deterioration rate of the affected network. Further, there is a change in the comparative importance of the factors affecting the network condition and their contribution to the WDN vulnerability.


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