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Prediction of urban residential end-use water demands by integrating known and unknown water demand drivers at multiple scales I: Model development

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Title Prediction of urban residential end-use water demands by integrating known and unknown water demand drivers at multiple scales I: Model development
 
Creator Rathnayaka, Kumudu
 
Contributor Malano, Hector
Arora, Meenakshi
George, Biju Alummoottil
Maheepala, Shiroma
Nawarathna, Bandara
 
Subject spatial variability
end-use water demand
residential water use
stochastic modeling
temporal variability
 
Description Detailed prediction of water demand by their end-uses at multiple scales is essential to support planning of Integrated Urban Water Management, an increasingly applied approach to deal with the problem of water scarcity. This paper presents an urban residential water demand modeling framework that can predict end-use water demand at multiple scales, especially at small scales with a robust explanatory capacity. This is achieved by integrating the complex water demand dynamics of urban residential water use and their underlying variables into a single model. The model described in this study can predict shower, toilet, tap, dishwasher, clothes washer, irrigation, evaporative cooler, bath, and other uses which account for the entire household water use. The model aims to predict water demand at multiple spatial (household/cluster/suburb) and temporal scales (hourly, daily, weekly and seasonal) by considering behavioral differences triggered by factors such as seasonality and presence of people at home. The model incorporates an improved representation of spatial variability by considering behavioral differences between customer groups, and improves the capability to deal with areas with different demographic and housing characteristics. This research confirms the capacity of stochastic modeling methods to represent unexplained behavior of water consumers.
 
Date 2017-03-01
2017-02-22T23:37:30Z
2017-02-22T23:37:30Z
 
Type Journal Article
 
Identifier https://www.sciencedirect.com/science/article/pii/S0921344916303305
https://mel.cgiar.org/reporting/download/hash/dg5qzztR
Kumudu Rathnayaka, Hector Malano, Meenakshi Arora, Biju Alummoottil George, Shiroma Maheepala, Bandara Nawarathna. (1/3/2017). Prediction of urban residential end-use water demands by integrating known and unknown water demand drivers at multiple scales I: Model development. Resources, Conservation and Recycling, 117 (B), pp. 85-92.
https://hdl.handle.net/20.500.11766/5885
Open access
 
Language en
 
Rights CC-BY-NC-4.0
 
Format PDF
 
Publisher Elsevier
 
Source Resources, Conservation and Recycling;117,(2016) Pagination 85,92