Spatial Analysis Tool for Development of Leakage Control Zones from the Analogy of Distributed Computing

Sempewo, Jotham Ivan; Pathirana, Assela; Vairavamoorthy, Kalanithy

doi:10.1061/41024(340)57

Cited by 19 publications

(19 citation statements)

References 4 publications

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“…The linear compromise was made considering only five years of recorded daily water consumption data. Another improvement could be made by dividing the study area into smaller districts in terms of spatial heterogeneities, when using such a tool (Sempewo et al 2008).…”

Section: Validation Of Daily Water Consumptionmentioning

confidence: 99%

Statistical interpretation of the daily variation of urban water consumption in Beijing, China

Zhang

Cong

et al. 2013

Hydrological Sciences Journal

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The efficient planning and design of water networks, as well as the management and strategies of existing water supply systems, require accurate short-term water demand forecasts. In this study, a statistical model for the estimation of daily urban water consumption was developed. The model was applied to analyse and forecast the daily water consumption in the main district of Beijing, China, from 2006 to 2010. The model exhibited good performance with a coefficient of determination, R 2 , greater than 0.9 in both the calibration and validation periods. The results indicate that: (a) the 7-day moving average temperature is an efficient variable that can be used to depict water-use variation in a year; (b) a daily maximum temperature of 31.1°C and the occurrence of precipitation are two thresholds of water-use behaviour; and (c) the current day's water consumption has a strong correlation with the consumption of one, two and seven days ago.Key words daily urban water consumption; time series analysis; statistical regression; threshold model; Beijing, China Interprétation statistique de la variation quotidienne de la consommation d'eau en milieu urbain à Beijing (Chine) Résumé La planification efficace et la conception des réseaux d'eau, ainsi que la gestion et les stratégies des systémes d'approvisionnement en eau existants, nécessitent des prévisions de la demande en eau précises à court terme. Dans cette étude, un modéle statistique pour l'estimation de la consommation d'eau quotidienne urbaine a été élaboré. Le modéle a été appliqué pour analyser et prévoir la consommation d'eau quotidienne dans le quartier principal de Beijing en Chine, de 2006 à 2010. Le modéle présente de bonnes performances avec un coefficient de détermination R 2 supérieur à 0,9 à la fois pour les périodes d'étalonnage et de validation. Les résultats indiquent que (a) la moyenne mobile à 7 jours de la température est une variable efficace qui peut ètre utilisée pour représenter la variation de l'utilisation de l'eau sur une année; (b) une température maximale quotidienne de 31,1°C et la survenue de précipitations sont deux seuils de comportement de l'utilisation de l'eau, et (c) la consommation d'eau du jour courant a une forte corrélation avec la consommation d'eau, un, deux et sept jours plus tôt.

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Section: Validation Of Daily Water Consumptionmentioning

confidence: 99%

Statistical interpretation of the daily variation of urban water consumption in Beijing, China

Zhang

Cong

et al. 2013

Hydrological Sciences Journal

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show abstract

“…Putting this in the analogy of an UWDS, the network can be decomposed into nodes and links representing water consumption points and links respectively (Sempewo et al 2008 Since the characteristics and states of the UWDS change in time, the characteristics of the UWDS represented by a graph change as well. The concept of graph transition systems is adopted to represent the states of the UWDS in transition.…”

Section: The States Of the Uwds Can Either Be Functional Or Spatial/gmentioning

confidence: 99%

“…Based on these zones, pipe impact at zone level were able to be analysed. The Spatial analysis tool has been applied to a few case studies (Sempewo 2008) and has proved as a useful tool to partition highly complex "spaghetti networks". Whereas the tool produces good results, it is criticized for not having been tested on a real case (Sempewo et al 2008).…”

Section: Computation Of Siimentioning

confidence: 99%

“…The Spatial analysis tool has been applied to a few case studies (Sempewo 2008) and has proved as a useful tool to partition highly complex "spaghetti networks". Whereas the tool produces good results, it is criticized for not having been tested on a real case (Sempewo et al 2008). Nonethe less the approach was applied to zone the RWDN and the results are shown in Figure Urban Infrastructure Impact (UI) and Socio-economic Impact (SE) indicators.…”

Section: Computation Of Siimentioning

confidence: 99%

“…Demarcation of the RWDN into smaller zones, was undertaken using the spatial analysis tool (Sempewo et al 2008). The zones were based on the hypothesis that not all pipes of RWDN have the same socio-economic impact on the transition of the system.…”

Section: Computation Of Siimentioning

confidence: 99%

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