کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
624236 1455397 2012 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A probabilistic forecast of water demand for a tourist and desalination dependent city: Case of Mecca, Saudi Arabia
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تصفیه و جداسازی
پیش نمایش صفحه اول مقاله
A probabilistic forecast of water demand for a tourist and desalination dependent city: Case of Mecca, Saudi Arabia
چکیده انگلیسی

The forecast of water demand is important for Saudi Arabia which is characterized by a scarcity of its water supplies and a dependence on costly desalination plants to satisfy the water needs of its population. The forecasting task is even more challenging for tourist cities. The paper presents a probabilistic-based methodology for the forecast of future water demand for the city of Mecca in Saudi Arabia. Because of its religious nature, the city attracts visitors all year long. The large and variable number of visitors put considerable strains on the management of water supply especially that the city relies exclusively on desalination. Besides the random influx of visitors, the development of a sound forecast model is further complicated by the uncertainties associated with other key explanatory variables such as the economic activity, which is largely dependent on fluctuating oil prices. All these factors limit the usefulness of any deterministic forecast model. This paper develops a forecast model that incorporates explicitly the uncertainties associated with local population growth, tourist's influx, household size, household income as well as conservation measures. The methodology makes use of historic time series records of water consumption and applies Monte Carlo sampling to describe the associated uncertainties.


► We developed a water forecast model for the city of Mecca in Saudi Arabia.
► The model can be used to plan the need for future desalination plants.
► The model accounts for the variable and large influx of visitors.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Desalination - Volume 294, 15 May 2012, Pages 53–59
نویسندگان
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