Assessing domestic factors determining water consumption in a semi-arid area (Sedrata City) using artificial neural networks and principal component analysis

• Autorzy: Zeroual Menal , Hani Azzedine , Boustila Amir

Identyfikatory

DOI

10.24425/jwld.2021.137115

• Języki publikacji: EN

Abstrakty

EN

The growing demand for fresh water and its scarcity are the major problems encountered in semi-arid cities. Two different techniques have been used to assess the main determinants of domestic water in the Sedrata City, North-East Algeria: principal component analysis (PCA) and artificial neural networks (ANNs). To create the ANNs models based on the PCA, twelve explanatory variables are initially investigated, of which nine are socio-economic parameters and three physical characteristics of building units. Two optimum ANNs models have been selected where correlation coefficients equal to 0.99 in training, testing and validation phases. In addition, results demonstrate that the combination of socio-economic parameters with physical characteristics of building units enhances the assessment of household water consumption.

Słowa kluczowe

EN

artificial neural networks; domestic water use determinants; household water consumption; principal component analysis; semi-arid area

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2021
• Tom: no. 49
• Strony: 219--228
• Opis fizyczny: Bibliogr. 37 poz., rys., tab.

Twórcy

autor

Zeroual Menal

• University of Badji Mokhtar, Faculty of Earth Sciences, Laboratory of water resource and sustainable development, BP 12 / 23000 Annaba, Algeria

• https://orcid.org/0000-0002-2336-2755

autor

Hani Azzedine

• University of Badji Mokhtar, Faculty of Earth Sciences, Laboratory of water resource and sustainable development, BP 12 / 23000 Annaba, Algeria

• https://orcid.org/0000-0002-5904-0272

autor

Boustila Amir

• University of Badji Mokhtar, Faculty of Earth Sciences, Laboratory of natural resource and development, Annaba, Algeria

• https://orcid.org/0000-0002-1108-5105

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).