- Tytuł:
- 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 - Powiązania:
- https://bibliotekanauki.pl/articles/1844342.pdf
- Data publikacji:
- 2021
- Wydawca:
- Instytut Technologiczno-Przyrodniczy
- Tematy:
-
artificial neural networks
domestic water use determinants
household water consumption
principal component analysis
semi-arid area - Opis:
- 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.
- Źródło:
-
Journal of Water and Land Development; 2021, 49; 219-228
1429-7426
2083-4535 - Pojawia się w:
- Journal of Water and Land Development
- Dostawca treści:
- Biblioteka Nauki
Artykuł