Neural Network Estimation of Tourism Climatic Index (TCI) Based on Temperature-Humidity Index (THI)-Jordan Region Using Sensed Datasets

Jordan which is located in the heart of the world contains hundreds of historical and archaeological locations that have a supreme potential in enticing visitors. The impact of clime is important on many aspects of life such as the development of tourism and human health, tourists always wanted to choose the most convenient time and place that have appropriate weather circumstances. The goal of this study is to specify the preferable months (time) for tourism in Jordan regions. Neural network has been utilized to analyze several parameters of meteorologist (raining, temperature, speed of wind, moisture, sun radiation) by analyzing and specify tourism climatic index (TCI) and equiponderate it with THI index. The outcomes of this study shows that the finest time of the year to entice tourists is “ April” which is categorized as to be “extraordinary” for visitors. TCI outcomes indicates that conditions are not convenient for tourism from July to August because of high temperature.

On estimate for the modulus of continuity of the Cauchy-type integral having a Lipschitz-continuous density

The Cauchy-type integral having a Lipschitz-continuous density is under investigation. It is considered in a Jordan region that has a piecewise regular boundary without cusps and therefore it can be continuously extended over the closure of the region. Then the boundary values form a function, whose modulus of continuity is to be estimated. One parameter-dependent estimate is obtained and one algorithm for its evaluating is developed. The algorithm is demonstrated on some examples.

Water supply in Jordan under drought conditions

This paper discusses the Mujib Dam reservoir's storage during the drought years of 2007–2009. It has been concluded that the policy of unplanned water release during the dry year 2007, when little attention was paid to the possibility of a continuation of the drought, contributed to the remarkable lack of surface water storage during 2008, another dry year. For better management and planning, this paper presents theoretical models to evaluate the occurrence probability and return period for extreme droughts, assuming that drought deficits are Beta distributed. Droughts of a short length (2–3 years) and deficits that exceed a threshold deficit (Do) are the most frequent droughts in the central Jordan region. Regardless of the drought deficit magnitude and the drought length, the return period of any drought condition is nearly 4 years. This paper recommends the application of large-scale sustainable solutions to reduce the gap between the demand on water and supply in Jordan during drought conditions. Furthermore, it is recommended that water losses from the clean water distribution systems be reduced below the existing loss rate, that large-scale rainwater capturing techniques are employed, and that large-scale desalination practices are applied to the readily available brackish and seawater in Jordan.