Analysis of freshwater consumption patterns in the private residences of Kuwait

A. Mukhopadhyay; A. Akber; E. Al-Awadi

doi:10.1016/S1462-0758(01)00016-4

Analysis of freshwater consumption patterns in the private residences of Kuwait

A. Mukhopadhyay, A. Akber, E. Al-Awadi

Kuwait Institute for Scientific Research

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

Weekly water consumption data from 48 households in Kuwait were collected over a period of one year. Based on these data, the average per capita water consumption inside a house in Kuwait was estimated to be in the range 182-2018 1/d/person, with an average of 814 1/d/person. Linear regression and neural network models, fitted to the observed data, suggest dependence of the residential water consumption on the number of bathrooms and rooms in the residence, size of the attached garden, income level of the household, atmospheric temperature, relative humidity, and number of people in the residence.

Original language	English
Pages (from-to)	53-62
Number of pages	10
Journal	Urban Water
Volume	3
Issue number	1-2
DOIs	https://doi.org/10.1016/S1462-0758(01)00016-4
State	Published - 2001

Keywords

Artificial neural network model
Household survey
Linear regression model
Water demand

Funding Agency

Kuwait Foundation for the Advancement of Sciences

Access to Document

10.1016/S1462-0758(01)00016-4

Cite this

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title = "Analysis of freshwater consumption patterns in the private residences of Kuwait",

abstract = "Weekly water consumption data from 48 households in Kuwait were collected over a period of one year. Based on these data, the average per capita water consumption inside a house in Kuwait was estimated to be in the range 182-2018 1/d/person, with an average of 814 1/d/person. Linear regression and neural network models, fitted to the observed data, suggest dependence of the residential water consumption on the number of bathrooms and rooms in the residence, size of the attached garden, income level of the household, atmospheric temperature, relative humidity, and number of people in the residence.",

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author = "A. Mukhopadhyay and A. Akber and E. Al-Awadi",

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AU - Mukhopadhyay, A.

AU - Akber, A.

AU - Al-Awadi, E.

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Y1 - 2001

N2 - Weekly water consumption data from 48 households in Kuwait were collected over a period of one year. Based on these data, the average per capita water consumption inside a house in Kuwait was estimated to be in the range 182-2018 1/d/person, with an average of 814 1/d/person. Linear regression and neural network models, fitted to the observed data, suggest dependence of the residential water consumption on the number of bathrooms and rooms in the residence, size of the attached garden, income level of the household, atmospheric temperature, relative humidity, and number of people in the residence.

AB - Weekly water consumption data from 48 households in Kuwait were collected over a period of one year. Based on these data, the average per capita water consumption inside a house in Kuwait was estimated to be in the range 182-2018 1/d/person, with an average of 814 1/d/person. Linear regression and neural network models, fitted to the observed data, suggest dependence of the residential water consumption on the number of bathrooms and rooms in the residence, size of the attached garden, income level of the household, atmospheric temperature, relative humidity, and number of people in the residence.

KW - Artificial neural network model

KW - Household survey

KW - Linear regression model

KW - Water demand

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DO - 10.1016/S1462-0758(01)00016-4

M3 - Article

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SN - 1462-0758

VL - 3

SP - 53

EP - 62

JO - Urban Water

JF - Urban Water

IS - 1-2

ER -

Analysis of freshwater consumption patterns in the private residences of Kuwait

Abstract

Keywords

Funding Agency

Access to Document

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