The use of Artificial Neural Networks in the modeling of socioeconomic category of Integrated Water Resources Management
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ORIGINAL PAPER
The use of Artificial Neural Networks in the modeling of socioeconomic category of Integrated Water Resources Management (Case study: Saf-Saf River Basin, North East of Algeria) Bachir Sakaa & Hicham Chaffai & Azzedine Hani
Received: 10 April 2012 / Accepted: 8 August 2012 # Saudi Society for Geosciences 2012
Abstract This research work has an objective to determine the effective variables in socioeconomic category of Integrated Water Resources Management for Saf-Saf river basin characterized by fast growing demand of urban and rural populations and the demand of economic sectors including industry and agriculture. In this paper, the artificial neural network models were used to model and predict the relationship between water resources mobilization and socioeconomic variables in the Saf-Saf river basin. The study area chosen is Saf-Saf river basin and real data were collected from 30 municipalities for reference year 2010. The results indicate that the feed-forward multilayer perceptron models with back-propagation are useful tools to define and prioritize the most effective variable on water resources mobilization and use. The model evaluation shows that the correlation coefficients are more than 94 % for training, verification, and testing data. The model aims to link the water resources mobilization and driving forces variables with the objective to strengthen the Integrated Water Resources Management approach. Keywords Saf-Saf river basin . Water resources mobilization . Multilayerperceptronnetwork . Socioeconomic variables . Integrated Water Resources Management B. Sakaa (*) : H. Chaffai : A. Hani Faculté des Sciences de la Terre, Laboratoire Ressource en Eau et Développement Durable, Université Badji Mokhtar, BP 12, 23000 Annaba, Algeria e-mail: [email protected] H. Chaffai e-mail: [email protected] A. Hani e-mail: [email protected]
Abbreviation The Socioeconomic category variables are Pop Population measured in numbers Inc Income measured by dinars per year LU Land use measured by percentage Tourism Tourism measured by number of guest days ASWS Access to safe water supply, percentage WWSC Wastewater system coverage, percentage SWSC Storm water system coverage, percentage WCC Water consumption per capita measured by liters per capita per day (l cap−1 day−1) WP Water price measured by dinars per cubic meter TW Taxation of water, percentage AWC Agriculture water consumption measured by million cubic meters per year (hm3 year−1) GE Gender empowerment, percentage UW Unaccounted for water, percentage WRM Water resources mobilization measured by million cubic meters per year (hm3 year−1)
Introduction Water is a major issue for sustainable development; it is closely related to health, agriculture, energy, and biodiversity. Without progress on the water field, it will be difficult or impossible to achieve the other millennium goals for development. Faced with the combined pressures of rapid increase in demand and the continuing deterioration of water quality, the management models of
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