scholarly journals Application of Wavelet Decomposition and Phase Space Reconstruction in Urban Water Consumption Forecasting: Chaotic Approach (Case Study)

2018 ◽  
Author(s):  
Peyman Yousefi ◽  
Gholamreza Naser ◽  
Hadi Mohammadi
Keyword(s):  
Phase Space ◽  
Water Consumption ◽  
Wavelet Decomposition ◽  
Phase Space Reconstruction ◽  
Urban Water

scholarly journals Nonlinear Dynamic Modeling of Urban Water Consumption Using Chaotic Approach (Case Study: City of Kelowna)

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 753 ◽  
Author(s):  
Peyman Yousefi ◽  
Gregory Courtice ◽  
Gholamreza Naser ◽  
Hadi Mohammadi
Keyword(s):  
Phase Space ◽  
Time Scales ◽  
Water Consumption ◽  
Chaos Theory ◽  
Lead Time ◽  
Phase Space Reconstruction ◽  
Lead Times ◽  
Urban Water ◽  
Consumption Values ◽  
Forecasting Performance

This study investigated urban water consumption complexity using chaos theory to improve forecasting performance to help optimize system management, reduce costs and improve reliability. The objectives of this study were to (1) investigate urban water distribution consumption complexity and its role in forecasting technique performance, (2) evaluate forecasting models by periodicity and lead time, and (3) propose a suitable forecasting technique based on operator applications and performance through various time scales. An urban consumption dataset obtained from the City of Kelowna (British Columbia, Canada) was used as a test case to forecast future consumption values using varying lead times under different temporal scales to identify models which may improve forecasting performance. Chaos theory techniques were employed to inform model optimization. This study attempted to address the paucity of studies on chaos theory applications in water consumption forecasting. This was accomplished by applying non-linear approximation, dynamic investigation, and phase space reconstruction for input variables, to improve the accuracy in various periodicity and lead time. To reconstruct the phase space, lag time was calculated using average mutual information for daily resolution as 17 days to reconstruct the phase space. The optimum embedding dimension and correlation exponent for the phase space were 18 and 3.5, respectively. Comparing the results, the non-linear local approximation model provided the best performance. The forecasting horizon for the models was 122 days. Moreover, phase space reconstruction improved the accuracy of the models for the different lead times. The findings of this study may improve forecasting performance and provide evidence to support further investigation of the chaotic behaviour of water consumption values over different time scales.

scholarly journals Water consumption forecasting using soft computing – a case study, Trinidad and Tobago

2020 ◽  
Vol 20 (8) ◽  
pp. 3576-3584
Author(s):  
Lee P. Leon ◽  
Barkha Chaplot ◽  
Akil Solomon
Keyword(s):  
Soft Computing ◽  
Water Consumption ◽  
Seasonal Changes ◽  
Gene Expression Programming ◽  
Urban Water ◽  
Domestic Water ◽  
Soft Computing Techniques ◽  
Consistent Method ◽  
The Relationship

Abstract Water scarcity is one of the world's fastest growing epidemics. Therefore, to combat it or mitigate the risks one must first understand how water is being consumed. This study focuses on the analysis of domestic water consumption with reference to how much of it is being consumed. Additionally, the study aims to propose an applicable and consistent method to forecast urban water consumption by using soft computing techniques. The investigation highlights the hourly, daily and monthly water consumption levels as well as the relationship between climate change and water demand using gene expression programming (GEP). The results of the study are relatively promising as it demonstrates that GEP can predict water consumption incorporating seasonal changes of wet and dry periods.

An ARIMA-NARX hybrid model for forecasting urban water consumption (case study: Tehran metropolis)

2019 ◽  
Vol 16 (5) ◽  
pp. 365-376 ◽  
Author(s):  
Pezhman Mousavi-Mirkalaei ◽  
Mohammad Ebrahim Banihabib
Keyword(s):  
Hybrid Model ◽  
Water Consumption ◽  
Urban Water

Low-flow devices in Spain: how efficient are they in fact? An accurate way of calculation

2004 ◽  
Vol 4 (3) ◽  
pp. 91-102 ◽  
Author(s):  
R. Cobacho ◽  
F. Arregui ◽  
L. Gascó;n ◽  
E. Cabrera
Keyword(s):  
Water Consumption ◽  
Water Conservation ◽  
Water Demand ◽  
Planning Process ◽  
Low Flow ◽  
Urban Water ◽  
Detailed Measurement ◽  
Indirect Evaluation ◽  
Flow Devices

After introducing the indirect evaluation of urban water demand, which has been sometimes performed, this paper focus the attention on two complementary methods to overcome the accuracy problems on the planning process of water conservation programs: a detailed measurement of water consumption, reaching the identification and assessment of end uses of water, and the lab tests of water use devices. An application of both methods on a small Spanish town is presented as a case study.

IMPACT OF LAND USE ON URBAN WATER-LOGGING DISASTER: A CASE STUDY OF BEIJING AND NEW YORK CITIES

2017 ◽  
Vol 16 (5) ◽  
pp. 1211-1216 ◽  
Author(s):  
Wenfeng Zheng ◽  
Xiaolu Li ◽  
Nina Lam ◽  
Dan Wang ◽  
Lirong Yin ◽  
...  
Keyword(s):  
New York ◽  
Land Use ◽  
Urban Water ◽  
Water Logging
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