The seasonal drought and the low available soil moisture affect the agricultural production in red soil region, China. Therefore, it is necessary to simulate and predict the dynamic changes of soil water in the field. Presently, dynamic model has been applied to obtain the soil water...

The Iberian Pyrite Belt (SW Spain) is a highly relevant source of Acid Mine Drainage contamination on a global scale. Although the Tinto and Odiel Rivers, which cross the Iberian Pyrite Belt, have been widely studied by various authors, an issue is still pending: the study of the metal load...

Many hydrologic phenomena and applications such as drought, flood, irrigation management and scheduling needs high resolution satellite soil moisture data at a local/regional scale. Downscaling is a very important process to convert a coarse domain satellite data to a finer spatial resolution....

The hydraulics of energy dissipation over stepped-gabion weirs is investigated by carrying out a series of laboratory experiments, building models to explain the experimental data, and testing their robustness by using the data reported by other researchers. The experiments comprise: six...

Computers have become the main tool used in Ground Water Quality Management (GWQM). Computer software has been developed to encapsulate, process and present information on groundwater pollution problems. Continuing demands for more efficient handling of information have resulted in increasing...

After the birth of the Internet, the rise of Web 2.0, here comes the Internet of Things. Internet has led us to adopt special law, digital economy law…Web 2.0 has urged us to rethink core legal concepts such as liability and ownership and introduce notions such as sharing and availability. The...

We develop a new genetic algorithm to solve an integrated Equipment-Workforce-Service Planning problem, which features extremely large scales and complex constraints. Compared with the canonical genetic algorithm, the new algorithm is innovative in four respects: (1) The new algorithm addresses...

This paper presents slope stability evaluation and prediction with the approach of a fast robust neural network named the extreme learning machine (ELM). The circular failure mechanism of a slope is formulated based on its material, geometrical and environmental parameters such as the unit...

The authors present the result of a research that uses already trained and validated artificial neural networks (ANN) in order to simulate the influence of Romanian’ economic situation over the number of country’s pupils and students (PAS). The objective is to determine which of the four...

Among the different forms of clean energies, solar energy has attracted a lot of attention because it is not only sustainable, but also is renewable and this means that we will never run out of it but the potential of using this form of renewable energy depends on its accessibility. Due to the...